From 0cb049740123847c29b68a438e3a950ec0ddccc3 Mon Sep 17 00:00:00 2001 From: danstarns Date: Sun, 13 Jul 2025 11:09:08 -0700 Subject: [PATCH 1/7] scaffold week 3 --- agents/30-days-of-agents/day-11.mdx | 295 +++++++++++ agents/30-days-of-agents/day-12.mdx | 439 ++++++++++++++++ agents/30-days-of-agents/day-13.mdx | 243 +++++++++ agents/30-days-of-agents/day-14.mdx | 477 ++++++++++++++++++ agents/30-days-of-agents/day-15.mdx | 303 +++++++++++ .../domain-specific-agents.mdx | 122 +++++ docs.json | 11 + 7 files changed, 1890 insertions(+) create mode 100644 agents/30-days-of-agents/day-11.mdx create mode 100644 agents/30-days-of-agents/day-12.mdx create mode 100644 agents/30-days-of-agents/day-13.mdx create mode 100644 agents/30-days-of-agents/day-14.mdx create mode 100644 agents/30-days-of-agents/day-15.mdx create mode 100644 agents/30-days-of-agents/domain-specific-agents.mdx diff --git a/agents/30-days-of-agents/day-11.mdx b/agents/30-days-of-agents/day-11.mdx new file mode 100644 index 00000000..f8c06c04 --- /dev/null +++ b/agents/30-days-of-agents/day-11.mdx @@ -0,0 +1,295 @@ +--- +title: "Day 11: Multi-Agent Collaboration - When Agents Work Together" +sidebarTitle: "Day 11: Multi-Agent Collaboration" +description: + "Learn to orchestrate multiple agents working together on complex projects. + Understand delegation patterns, handoffs, and collaborative workflows that + combine different agent specializations." +--- + + + **Goal**: orchestrate multiple agents to collaborate on a complex workflow + +**Theme**: advanced orchestration week - multi-agent coordination + +**Time investment**: ~25 minutes + + + +Welcome to Day 11 and Week 3! You've mastered individual agent creation and +optimization. Now you'll learn to orchestrate **multiple agents working +together**—combining different specializations to tackle complex projects that +no single agent could handle alone. + +This is where agent systems become truly powerful: specialized agents +collaborating like a high-performing team. + +## What you'll accomplish today + +- Understand multi-agent collaboration patterns and when to use them +- Design a multi-agent workflow with clear delegation and handoffs +- Implement agent-to-agent communication and coordination +- Experience how specialized agents combine their strengths +- Learn to manage complex workflows with multiple moving parts + + + This builds on your agent creation skills from Week 2. You'll need at least 2 + custom agents to complete today's collaboration exercises. + + +## Step 1: Understanding multi-agent patterns + +Before building collaborative workflows, understand the key patterns for agent +coordination: + +### Sequential collaboration (pipeline) + +Agent A completes work → passes results to Agent B → Agent B continues the work + +**Example workflow**: Research Agent gathers market data → Analysis Agent +processes insights → Report Agent creates executive summary + +### Parallel collaboration (divide and conquer) + +Multiple agents work on different aspects of the same project simultaneously + +**Example workflow**: Content Agent drafts social posts + Design Agent creates +visuals + Schedule Agent plans distribution timing + +### Hierarchical collaboration (manager-worker) + +One agent coordinates and delegates while specialized agents execute specific +tasks + +**Example workflow**: Project Manager Agent assigns tasks → Technical Agent +handles code reviews + Marketing Agent manages campaigns + +### Peer collaboration (consensus building) + +Agents contribute different perspectives to reach better decisions + +**Example workflow**: Multiple research agents analyze different data sources → +consolidate findings into comprehensive recommendations + + + **Choose the right pattern**: Sequential for dependent workflows, parallel for + independent tasks, hierarchical for complex coordination, peer for + decision-making. + + +## Step 2: Design your first multi-agent workflow + +Let's create a practical multi-agent workflow. Choose a scenario that requires +multiple specializations: + +### Scenario example: Product launch coordination + +**Agents needed**: + +- Market Research Agent (analyzes competitive landscape) +- Content Creation Agent (develops messaging and materials) +- Campaign Management Agent (coordinates timeline and execution) + +**Start by defining the workflow with one of your existing agents**: + +```text +I want to design a multi-agent workflow for [your chosen scenario]. +I have these agents available: [list your agents and their capabilities]. + +Can you help me design a collaboration pattern where these agents work together? +Map out the handoffs, dependencies, and coordination points. +``` + +Watch how your agent: + +- Analyzes the strengths of each available agent +- Identifies optimal collaboration patterns +- Maps dependencies and handoff points +- Suggests coordination mechanisms +- Recommends workflow improvements + +### Example workflow design: + +**Phase 1**: Market Research Agent conducts competitive analysis **Handoff 1**: +Research findings passed to Content Creation Agent **Phase 2**: Content Agent +develops messaging based on research insights **Handoff 2**: Content passed to +Campaign Management Agent **Phase 3**: Campaign Agent coordinates launch +execution using research and content + +## Step 3: Implement agent coordination + +Now let's put multi-agent collaboration into practice: + +**Start with your primary coordinating agent**: + +```text +I'm implementing a multi-agent workflow for [your scenario]. +You'll be coordinating with [other agent names] to complete this project. + +Here's the workflow we designed: [paste your workflow from Step 2] + +Let's start with Phase 1. Can you begin the initial work and prepare the handoff to [next agent]? +``` + +**Key coordination elements to implement**: + +- **Clear handoff formats**: Standardize how information passes between agents +- **Status tracking**: Each agent reports progress and completion +- **Quality checkpoints**: Agents verify work before handoffs +- **Feedback loops**: Later agents can request clarification from earlier agents + +### Managing the handoff process: + +When Agent A completes their work: + +1. **Document outputs clearly** for the next agent +2. **Summarize key findings** and recommendations +3. **Flag any dependencies** or requirements for next steps +4. **Provide context** about decisions made during the work + +When Agent B receives the handoff: + +1. **Confirm understanding** of the inputs and context +2. **Ask clarifying questions** if anything is unclear +3. **Validate assumptions** from the previous agent's work +4. **Proceed with clear acknowledgment** of responsibilities + + + **Document everything**: Multi-agent workflows require clear documentation at + each step. Encourage agents to summarize their work and reasoning for the next + agent in the chain. + + +## Step 4: Advanced coordination techniques + +As your workflow progresses, implement these advanced coordination patterns: + +### Parallel coordination + +```text +I need [Agent A] and [Agent B] to work on different aspects of this project simultaneously. + +Agent A: Focus on [specific aspect] +Agent B: Focus on [different aspect] + +Coordinate your timelines and check in when you've both completed your initial work. +``` + +### Quality assurance handoffs + +```text +Before we move to the next phase, I want [Quality Agent] to review the work from [Previous Agent]. + +Check for: [specific quality criteria] +Approve or request revisions before we proceed. +``` + +### Consensus building + +```text +I have different perspectives from [Agent A] and [Agent B] on [decision point]. + +Can you both discuss your reasoning and work toward a consensus recommendation? +[Agent C], please facilitate this discussion and help reach a decision. +``` + +## Step 5: Monitor and optimize workflows + +Multi-agent coordination requires active management: + +**Track progress across agents**: + +```text +Can each agent provide a status update on their current work? +- What's completed? +- What's in progress? +- Any blockers or dependencies? +- Estimated completion time? +``` + +**Identify optimization opportunities**: + +```text +Based on how this workflow has progressed, what could we optimize? +- Are there unnecessary handoffs? +- Could any work be done in parallel instead of sequential? +- Are agents waiting too long for inputs? +- How can we improve the coordination process? +``` + +**Document successful patterns**: + +```text +This multi-agent workflow worked well. Can you help me document: +- The successful coordination patterns we used +- Key handoff formats that worked effectively +- Quality checkpoints that prevented issues +- Lessons learned for future multi-agent projects +``` + +## What you've accomplished + +In 25 minutes, you've mastered multi-agent orchestration: + +**Pattern recognition**: Learned to identify the right collaboration pattern for +different scenarios + +**Workflow design**: Created structured multi-agent workflows with clear +dependencies and handoffs + +**Coordination implementation**: Successfully orchestrated multiple agents +working together on complex projects + +**Quality management**: Implemented checkpoints and feedback loops to ensure +work quality across agent handoffs + +**Optimization skills**: Learned to monitor and improve multi-agent workflows +based on performance + +## The power of agent collaboration + +Multi-agent workflows unlock capabilities that no single agent can achieve: + +**Specialized expertise**: Each agent brings deep knowledge in their domain +**Parallel processing**: Multiple aspects of complex projects handled +simultaneously +**Quality assurance**: Agents can review and improve each other's work +**Scalability**: Add specialized agents as project complexity grows **Fault +tolerance**: If one agent struggles, others can compensate or provide +alternatives + + + Advanced workflow automation with triggers, schedules, and event-driven agent + collaboration. Learn to build systems that operate with minimal human + intervention. + + +## Pro tip for today + +After completing your multi-agent workflow, ask your coordinating agent: + +```text +What made this multi-agent collaboration successful? How could we standardize these patterns for future complex projects? +``` + +This helps you develop reusable coordination templates that make future +multi-agent projects more efficient. + +--- + +**Time to complete**: ~25 minutes + +**Skills learned**: Multi-agent pattern recognition, workflow design, agent +coordination, handoff management, quality assurance, optimization + +**Next**: Day 12 - Advanced workflow automation and event-driven collaboration + + + **Remember**: Multi-agent systems are more powerful but also more complex. + Start with simple collaborations and gradually build up to sophisticated + orchestration patterns. + diff --git a/agents/30-days-of-agents/day-12.mdx b/agents/30-days-of-agents/day-12.mdx new file mode 100644 index 00000000..3c9d2f54 --- /dev/null +++ b/agents/30-days-of-agents/day-12.mdx @@ -0,0 +1,439 @@ +--- +title: "Day 12: Development & Infrastructure - GitHub & Vercel Integration" +sidebarTitle: "Day 12: GitHub & Vercel" +description: + "Master development workflows by building agents that manage code + repositories, automate reviews, handle deployments, and coordinate production + releases with GitHub and Vercel." +--- + + + **Goal**: build sophisticated development agents that automate code reviews, manage deployments, and coordinate release workflows + +**Theme**: domain specialization week - development & infrastructure + +**Time investment**: ~30 minutes + + + +Welcome to Day 12! Today you'll specialize in development and infrastructure by +building agents that understand code, deployments, and development workflows. +You'll integrate GitHub for repository management and Vercel for deployment +automation, creating agents that act like senior DevOps engineers. + +This isn't just about connecting tools—it's about building agents that +understand development best practices, can review code intelligently, and manage +production deployments safely. + +## What you'll accomplish today + +- Build a development agent that combines GitHub and Vercel capabilities +- Create intelligent code review workflows that go beyond syntax checking +- Implement automated deployment pipelines with safety checks +- Develop monitoring and rollback capabilities for production systems +- Learn domain-specific patterns for development and infrastructure agents + + + This builds on your Week 2 agent creation skills. You'll need access to GitHub + and Vercel accounts with appropriate permissions to complete today's + exercises. + + +## Step 1: Understanding development agent patterns + +Before building, understand what makes development agents different from +general-purpose agents: + +### Code understanding capabilities + +Development agents need to: + +- **Analyze code quality** beyond just syntax—understanding patterns, security + implications, and performance +- **Understand project context** from README files, documentation, and code + structure +- **Follow coding standards** specific to languages, frameworks, and team + conventions +- **Assess risk levels** for changes based on file criticality and change scope + +### Deployment intelligence + +Infrastructure agents must: + +- **Coordinate deployments** across environments (development, staging, + production) +- **Monitor build status** and understand when deployments are safe +- **Implement rollback strategies** when issues are detected +- **Manage environment variables** and configuration securely + + + **Domain expertise matters**: Development agents need to understand not just + how to use GitHub and Vercel APIs, but when and why to use specific features + based on development best practices. + + +## Step 2: Create your development agent with Concierge + +Let's build a sophisticated development agent that combines code management and +deployment capabilities: + +**Start with Concierge:** + +```text +I want to create a development and infrastructure agent that helps me manage code reviews and deployments. + +The agent should: +- Review pull requests on GitHub for code quality, security issues, and best practices +- Manage deployments to Vercel with proper staging and production workflows +- Monitor deployment status and performance metrics +- Coordinate releases between code merges and deployments +- Provide intelligent insights about code changes and their potential impact + +I want it to act like a senior DevOps engineer who understands both code quality and production stability. +``` + +### Example agent configuration + +Based on the GitHub Review Bot example from the gallery, enhance your agent with +these capabilities: + +**Core responsibilities:** + +- Automated code review with actionable feedback +- Deployment coordination with safety checks +- Performance monitoring and alerting +- Release note generation +- Rollback automation when issues detected + +**Key integrations needed:** + +- **GitHub**: Repository access, PR management, issue tracking +- **Vercel**: Deployment management, environment configuration, monitoring +- **Slack** (optional): Team notifications for important events + +## Step 3: Implement intelligent code review workflows + +Your development agent should go beyond basic linting. Drawing from the GitHub +Review Bot example: + +**Configure advanced review capabilities:** + +```text +When reviewing pull requests, analyze: + +1. Code Quality Patterns: + - Clean code principles and readability + - DRY (Don't Repeat Yourself) violations + - Function complexity and refactoring opportunities + - Consistent naming conventions + +2. Security Analysis: + - Hardcoded secrets or API keys + - SQL injection vulnerabilities + - Cross-site scripting (XSS) risks + - Dependency vulnerabilities + +3. Performance Considerations: + - Database query optimization + - Memory leak potential + - Unnecessary re-renders (for React) + - Bundle size impact + +4. Testing Coverage: + - Missing test cases + - Edge case handling + - Integration test requirements + +Provide specific line numbers and code examples for all feedback. +Use severity levels: Critical, High, Medium, Low. +Always include positive feedback for well-written code sections. +``` + +### Example code review interaction + +```text +You: Review PR #142 in our main repository - it's adding a new authentication system. + +Agent: I've completed the review of PR #142 - "Implement OAuth 2.0 authentication system". Here's my analysis: + +**Overall Score: 8/10** + +**Critical Issues:** +• Line 45 in auth.js: Hardcoded client secret should be moved to environment variables +• Line 128 in middleware.js: Missing input validation for JWT tokens could lead to injection attacks + +**Security Recommendations:** +• Add rate limiting to login endpoints (auth.js:67-89) +• Implement refresh token rotation for enhanced security +• Consider adding PKCE flow for public clients + +**Performance Optimizations:** +• Token validation is happening on every request - implement caching (middleware.js:34) +• Database queries in getUserProfile() could be optimized with indexes + +**Positive Highlights:** +• Excellent test coverage at 94% +• Clean separation of auth and authorization logic +• Proper error handling without leaking sensitive info + +**Deployment Considerations:** +• Will need to update Vercel environment variables before deployment +• Database migrations required for refresh_tokens table +• Consider feature flag for gradual rollout + +Ready to proceed with deployment after addressing critical issues. +``` + +## Step 4: Automate deployment workflows with Vercel + +Now let's add sophisticated deployment capabilities: + +**Configure deployment intelligence:** + +```text +For deployment workflows, implement: + +1. Pre-deployment Checks: + - All CI/CD tests passing + - No critical security issues in code review + - Database migrations ready if needed + - Environment variables configured + +2. Staging Deployment First: + - Deploy to staging environment + - Run smoke tests automatically + - Check performance metrics + - Verify no errors in logs + +3. Production Deployment: + - Only after staging validation + - Implement canary or blue-green deployment + - Monitor error rates and performance + - Automatic rollback if error threshold exceeded + +4. Post-deployment Monitoring: + - Track Core Web Vitals + - Monitor error rates + - Check API response times + - Alert on anomalies +``` + +### Example deployment workflow + +```text +You: The PR has been approved. Deploy the authentication changes to production. + +Agent: I'll coordinate the deployment of the authentication system to production. Let me start with our safety checks: + +**Pre-deployment Validation:** +✅ All GitHub Actions tests passing (last run: 2 minutes ago) +✅ Critical security issues from code review have been addressed +✅ PR #142 merged to main branch +✅ Vercel preview deployment successful + +**Staging Deployment:** +Deploying to staging environment... +✅ Deployment successful: https://app-staging.vercel.app +✅ Running automated smoke tests... + - Login flow: PASS (avg 230ms) + - Token refresh: PASS (avg 145ms) + - Logout flow: PASS (avg 89ms) +✅ No errors in staging logs (monitored for 5 minutes) + +**Production Deployment Plan:** +I'll use a canary deployment strategy: +1. Deploy to 10% of traffic first +2. Monitor for 15 minutes +3. If metrics are stable, deploy to 100% + +Shall I proceed with the canary deployment to production? + +[After confirmation] + +**Production Deployment Progress:** +🚀 Deploying to production (10% canary)... +✅ Canary deployment live +📊 Monitoring metrics for 15 minutes... + - Error rate: 0.01% (baseline: 0.02%) ✅ + - Response time: 122ms (baseline: 118ms) ✅ + - CPU usage: 34% (baseline: 32%) ✅ + +All metrics look healthy. Promoting to 100% traffic... +✅ Full production deployment complete! + +**Deployment Summary:** +- URL: https://app.vercel.app +- Build ID: dpl_Fk3j2k4j2k3j4 +- Duration: 18 minutes total +- Features: OAuth 2.0 authentication system + +**Next Steps:** +1. Monitor error rates for next 24 hours +2. Review user feedback on new auth flow +3. Plan gradual feature flag rollout for existing users + +I'll continue monitoring and alert you if any issues arise. +``` + +## Step 5: Implement production monitoring and rollback + +Your agent should be capable of handling production issues: + +**Configure monitoring and rollback:** + +```text +Monitor production health by: + +1. Tracking Key Metrics: + - Error rates (baseline vs current) + - Response times (P50, P95, P99) + - Core Web Vitals scores + - Active user sessions + +2. Automated Rollback Triggers: + - Error rate increases >5% from baseline + - Response time degradation >20% + - Multiple user reports of issues + - Critical service dependencies failing + +3. Rollback Process: + - Immediately revert to previous deployment + - Notify team via Slack + - Create incident report + - Begin root cause analysis +``` + +### Example monitoring and rollback + +```text +You: How's the authentication deployment performing in production? + +Agent: I'm monitoring the authentication deployment. Here's the current status: + +**Production Health Check (2 hours post-deployment):** + +📊 **Performance Metrics:** +- Error rate: 0.03% (↑ 0.01% from baseline) - Within normal range +- Login success rate: 98.7% (previously 97.2%) - Improved! ✅ +- Avg response time: 124ms (baseline: 118ms) - Acceptable +- Active sessions: 3,247 (normal for this time) + +⚠️ **Detected Issue:** +I've noticed an increase in "token refresh failed" errors in the last 15 minutes: +- Affected users: 47 (1.4% of active users) +- Error pattern: Timeout errors from auth service +- Started: 14:23 UTC + +**Investigating:** +- Checking Vercel function logs... Found timeout issues with the refresh endpoint +- Database connection pool may be exhausted +- This could escalate if not addressed + +**Recommended Action:** +This doesn't meet automatic rollback criteria yet, but I recommend: +1. Increase database connection pool size (quick fix) +2. Or rollback if errors increase beyond 2% + +Would you like me to apply the quick fix or initiate a rollback? +``` + +## Step 6: Create development best practices automation + +Extend your agent to enforce and automate development best practices: + +**Advanced automation patterns:** + +```text +Implement these automated workflows: + +1. Dependency Management: + - Weekly dependency update PRs + - Security vulnerability scanning + - Breaking change detection + - Automated testing of updates + +2. Documentation Sync: + - Update API docs when endpoints change + - Generate changelog from PR descriptions + - Keep README synchronized with actual setup + - Create architecture diagrams from code + +3. Performance Budget Enforcement: + - Block deployments exceeding bundle size limits + - Warn on significant performance regressions + - Track and report Core Web Vitals trends + - Suggest optimization opportunities + +4. Release Coordination: + - Generate release notes from merged PRs + - Coordinate database migrations with deployments + - Manage feature flags for gradual rollouts + - Schedule deployments for optimal times +``` + +## What you've accomplished + +In 30 minutes, you've built a sophisticated development and infrastructure agent +that: + +**Code intelligence**: Reviews code with understanding of quality, security, and +performance implications beyond basic syntax + +**Deployment orchestration**: Manages complex deployment workflows with staging +validation, canary releases, and automatic rollbacks + +**Production monitoring**: Tracks system health, detects anomalies, and takes +corrective action when needed + +**Best practices automation**: Enforces development standards, manages +dependencies, and coordinates releases + +**Domain expertise**: Acts like a senior DevOps engineer, understanding not just +how to use tools but when and why + +## The power of domain-specific development agents + +Development agents that truly understand code and infrastructure can: + +**Reduce deployment risk**: Catch issues before they reach production through +intelligent analysis **Accelerate development**: Automate repetitive tasks while +maintaining quality standards **Improve code quality**: Provide consistent, +actionable feedback on every change **Enable continuous deployment**: Safe, +automated releases with confidence **Scale expertise**: Every developer gets +access to senior-level DevOps knowledge + + + Data & Analytics with Neo4j and MongoDB. Build agents that understand graph + relationships and document structures for complex data analysis. + + +## Pro tip for today + +After building your development agent, test it with real scenarios: + +```text +What development workflows in our team are most error-prone or time-consuming? +How can we enhance your capabilities to better handle these specific patterns? +``` + +This helps you identify additional automation opportunities specific to your +team's needs. + +--- + +**Time to complete**: ~30 minutes + +**Skills learned**: Code review intelligence, deployment orchestration, +production monitoring, rollback automation, development best practices + +**Next**: Day 13 - Data & Analytics agents with Neo4j and MongoDB + + + **Remember**: The best development agents don't just execute commands—they + understand the why behind development practices and make intelligent decisions + about code quality, deployment safety, and system reliability. + diff --git a/agents/30-days-of-agents/day-13.mdx b/agents/30-days-of-agents/day-13.mdx new file mode 100644 index 00000000..b9657874 --- /dev/null +++ b/agents/30-days-of-agents/day-13.mdx @@ -0,0 +1,243 @@ +--- +title: "Day 13: Data & Analytics - Connecting to Databases" +sidebarTitle: "Day 13: Database Connections" +description: + "Learn how to connect your agents to databases through Hypermode, enabling + data-driven insights and automated analysis." +--- + + + **Goal**: connect your agent to a database and enable data-driven insights + +**Theme**: domain specialization week - database intelligence + +**Time investment**: ~20 minutes + + + +Welcome to Day 13! Today you'll learn how to connect your agents to databases +through Hypermode's connection system. We'll use Neo4j as an example, but the +same approach works for any database—SQL, NoSQL, or specialized data stores. + +Your agents can query data, analyze patterns, and provide insights without you +needing to write complex queries yourself. + +## What you'll accomplish today + +- Understand how database connections work in Hypermode +- Connect an agent to a database (Neo4j example) +- See how agents translate questions into queries +- Get insights from your data through natural language +- Learn the pattern for building data-driven agents + + + This builds on your Week 2 agent creation skills. For today's example, you can + use any available database connection or follow along conceptually. + + +## Step 1: How database connections work + +Hypermode agents can connect to virtually any database: + +### Supported databases include + +- **SQL databases**: PostgreSQL, MySQL, SQL Server +- **NoSQL stores**: MongoDB, DynamoDB +- **Graph databases**: Neo4j, Amazon Neptune +- **Data warehouses**: Snowflake, BigQuery +- **Time-series**: InfluxDB, TimescaleDB + +### Connection process + +1. **Add connection** from Hypermode's connection library +2. **Authenticate securely** with credentials stored encrypted +3. **Assign to your agent** through the connections panel +4. **Start asking questions** in natural language + + + **No query language needed**: Your agent translates your business questions + into the appropriate database queries automatically. + + +## Step 2: Create a data analysis agent + +Let's build an agent that can analyze customer data: + +**Start with Concierge:** + +```text +I want to create a data analysis agent that connects to our customer database to answer business questions and provide insights. + +The agent should understand our business context and help me analyze customer patterns, identify opportunities, and track important metrics. +``` + +### Simple agent setup + +Your agent needs: + +- **Database connection** (Neo4j in this example) +- **Business context** about what the data represents +- **Clear instructions** to provide insights, not just raw data + +## Step 3: Connect and query naturally + +Once connected, you can ask business questions directly: + +### Example 1: Customer insights + +```text +You: Who are our most valuable customers? + +Agent: I'll analyze the customer data to identify your most valuable customers. + +Based on the database analysis, here are your top customers: + +**Top 5 Most Valuable Customers:** +1. **TechCorp Solutions** - $487K annual revenue, 47 referrals +2. **FinanceFlow Inc** - $398K annual revenue, active for 3 years +3. **GlobalTech Ventures** - $342K annual revenue, expanding rapidly +4. **DataDynamics LLC** - $289K annual revenue, 23 team members +5. **CloudFirst Systems** - $234K annual revenue, high engagement + +**Key Insight**: Your top 5 customers represent 23% of total revenue and have referred 134 other customers. Focus retention efforts here. +``` + +### Example 2: Pattern detection + +```text +You: Are there any concerning trends I should know about? + +Agent: I've identified some patterns that need attention: + +**⚠️ Concerning Trends:** + +1. **Reduced Activity in Enterprise Segment** + - 34% of enterprise customers haven't logged in this month + - This segment typically drives 45% of revenue + +2. **Referral Rate Declining** + - New customer referrals down 23% from last quarter + - Top referrers showing less activity + +**Recommendations:** +- Reach out to dormant enterprise accounts this week +- Re-engage your top 10 referrers with incentives +- Consider a customer health check campaign + +Would you like me to identify specific customers for outreach? +``` + +### Example 3: Opportunity discovery + +```text +You: What growth opportunities do you see in our data? + +Agent: I've found several growth opportunities in your customer data: + +**🎯 Growth Opportunities:** + +1. **Upsell Potential** + - 67 customers hitting usage limits + - Estimated revenue opportunity: $34K/month + +2. **Untapped Networks** + - 23 highly satisfied customers with no referrals yet + - Each typically could bring 3-5 new customers + +3. **Re-engagement Wins** + - 45 previously active accounts went dormant + - Historical win-back rate: 35% with targeted outreach + +**Quick Win**: Send upgrade offers to the 67 customers hitting limits. Based on past campaigns, expect 40% conversion. +``` + +## Step 4: Building data-driven workflows + +Your database-connected agent can automate regular analysis: + +### Weekly business intelligence + +```text +You: Can you give me our weekly business metrics summary? + +Agent: Here's your weekly business intelligence summary: + +**Week of March 10-16, 2024** + +📈 **Growth Metrics:** +- New customers: 34 (+12% vs last week) +- Revenue: $487K (+8% vs last week) +- Active users: 1,247 (+5%) + +📊 **Customer Health:** +- Engagement score: 78/100 (stable) +- Support tickets: 23 (-15% - good!) +- Feature adoption: 67% (+3%) + +🎯 **Action Items:** +- 12 trial accounts ready for conversion outreach +- 5 customers need check-ins (low activity alerts) +- 3 upsell opportunities identified + +Would you like details on any of these metrics? +``` + +## What you've accomplished + +In 20 minutes, you've learned how to: + +**Connect databases**: Enable agents to access your business data securely + +**Natural language queries**: Ask questions without writing complex database +queries + +**Get insights, not just data**: Agents interpret results and provide +recommendations + +**Automate analysis**: Set up regular reporting and monitoring through your +agent + +**Scale expertise**: Give everyone on your team data analyst capabilities + +## The power of database-connected agents + +With database connections, your agents can: + +- **Democratize data access** - Anyone can get insights without SQL knowledge +- **Proactive monitoring** - Agents watch for important changes and alert you +- **Cross-system analysis** - Connect multiple databases for complete pictures +- **Automated reporting** - Regular insights without manual work + + + Customer Relationship Management with Attio. Build agents that transform CRM + from data entry to intelligent revenue operations. + + +## Pro tip for today + +Start simple with your database agent: + +```text +What are the three most important questions about our business that data could answer? +Let's make sure you can help me monitor these regularly. +``` + +This helps your agent focus on what matters most to your business. + +--- + +**Time to complete**: ~20 minutes + +**Skills learned**: Database connections, natural language querying, insight +generation, automated analysis + +**Next**: Day 14 - Customer Relationship Management with Attio CRM + + + **Remember**: You don't need to be a database expert. Your agent handles the + technical complexity while you focus on getting business insights. + diff --git a/agents/30-days-of-agents/day-14.mdx b/agents/30-days-of-agents/day-14.mdx new file mode 100644 index 00000000..f004951e --- /dev/null +++ b/agents/30-days-of-agents/day-14.mdx @@ -0,0 +1,477 @@ +--- +title: + "Day 14: Enterprise Integration and Security - Business-Critical Agent + Deployment" +sidebarTitle: "Day 14: Enterprise Integration" +description: + "Master enterprise integration patterns, security controls, and governance + frameworks for deploying agent systems in business-critical environments." +--- + + + **Goal**: implement enterprise-grade security and integration patterns for agent systems + +**Theme**: advanced orchestration week - enterprise readiness + +**Time investment**: ~30 minutes + + + +Welcome to Day 14! You've built reliable, monitored agent systems. Today you'll +learn **enterprise integration and security**—the practices needed to deploy +agent systems in business-critical environments with proper governance, +compliance, and security controls. + +This is where agent systems become enterprise infrastructure. + +## What you'll accomplish today + +- Design enterprise integration patterns for existing business systems +- Implement security controls and access governance for agent systems +- Create compliance frameworks and audit trails for regulated environments +- Build user management and role-based access control (RBAC) systems +- Learn enterprise deployment and change management practices + + + This focuses on enterprise-grade deployment. You'll need working agent systems + from previous days to implement enterprise integration and security patterns. + + +## Step 1: Understanding enterprise integration requirements + +Enterprise environments have specific requirements that differ from individual +or small team deployments: + +### System integration patterns + +Agents must integrate with existing enterprise infrastructure + +**Common integration requirements**: + +- Single Sign-On (SSO) with corporate identity providers +- Integration with existing databases and data warehouses +- Connection to enterprise APIs and internal services +- Compliance with corporate security policies and standards + +### Governance and compliance + +Agents must operate within corporate governance frameworks + +**Key governance areas**: + +- Data access controls and privacy requirements +- Audit logging and compliance reporting +- Change management and approval processes +- Risk management and security assessments + +### Scale and reliability + +Enterprise deployments require higher standards for availability and performance + +**Enterprise requirements**: + +- High availability and disaster recovery +- Performance SLAs and guaranteed response times +- Scalability to handle enterprise workloads +- 24/7 support and incident response + +### User management and access control + +Multiple users and roles require sophisticated access management + +**Access control needs**: + +- Role-based permissions and responsibilities +- Department and project-based access scoping +- External partner and vendor access management +- Regular access reviews and compliance audits + + + **Start with security**: Enterprise integration begins with understanding + security requirements. Get these right first, then build other capabilities on + top. + + +## Step 2: Design enterprise integration architecture + +Let's create an enterprise integration plan for your agent systems: + +### Integration assessment and planning + +**Start by assessing your enterprise integration needs**: + +```text +I need to prepare my agent systems for enterprise deployment. Help me assess integration requirements: + +Current agent systems: [describe your agents and workflows] +Enterprise environment: [describe the organization and tech stack] +Integration points needed: [existing systems agents need to access] +Security requirements: [known security policies and constraints] +Compliance needs: [regulatory or industry requirements] + +Design an enterprise integration architecture that addresses these requirements. +``` + +Watch your agent analyze: + +- Critical integration points and dependencies +- Security controls and access patterns needed +- Compliance requirements and audit trails +- Performance and scalability considerations +- Change management and deployment procedures + +### Common enterprise integration patterns + +**API Gateway pattern**: Centralize access control and monitoring + +- All agent external access goes through enterprise API gateway +- Centralized authentication, rate limiting, and logging +- Standard security controls applied consistently + +**Service Mesh integration**: Integrate with enterprise service mesh + +- Agents operate as services within corporate service mesh +- Automatic mTLS, observability, and policy enforcement +- Native integration with enterprise monitoring and security tools + +**Data Lake integration**: Connect to enterprise data platforms + +- Agents access data through enterprise data lake/warehouse +- Centralized data governance and access controls +- Consistent data quality and lineage tracking + +**Identity Provider integration**: Use corporate identity management + +- SSO integration with corporate identity providers +- Role-based access mapped to corporate directory +- Automated provisioning and deprovisioning + +## Step 3: Implement security controls and governance + +Enterprise security requires multiple layers of protection and control: + +### Access control and authentication + +**Implement enterprise-grade access controls**: + +```text +I need to implement enterprise security controls for my agent systems: + +User types: [employees, contractors, partners, external users] +Access patterns: [how different users should interact with agents] +Sensitive data: [what data agents access and how it should be protected] +Corporate policies: [existing security policies that apply] + +Help me design access controls that meet enterprise security requirements while maintaining agent functionality. +``` + +### Key security controls to implement + +**Authentication and authorization**: + +- Multi-factor authentication (MFA) for all users +- Role-based access control (RBAC) with principle of least privilege +- Regular access reviews and automated deprovisioning +- Integration with corporate identity and access management (IAM) + +**Data protection**: + +- Encryption at rest and in transit for all agent data +- Data loss prevention (DLP) controls for sensitive information +- Privacy controls for personally identifiable information (PII) +- Data retention and deletion policies + +**Network security**: + +- Network segmentation and firewall controls +- VPN or private network access requirements +- Monitoring and intrusion detection for agent communications +- API security and rate limiting + +**Audit and compliance**: + +- Comprehensive audit logging of all agent activities +- Compliance reporting and automated assessments +- Regular security assessments and penetration testing +- Incident response procedures for security events + +### Compliance framework implementation + +**Create compliance frameworks for regulated environments**: + +```text +My organization operates in a regulated industry [specify industry/regulations]. + +Regulatory requirements: [specific compliance needs like SOX, HIPAA, GDPR, etc.] +Audit requirements: [what needs to be logged and reported] +Data handling rules: [restrictions on data access, storage, processing] +Risk management: [how risks must be assessed and mitigated] + +Help me design a compliance framework that ensures agent systems meet regulatory requirements. +``` + +## Step 4: Build user management and RBAC systems + +Enterprise environments require sophisticated user and permission management: + +### Role-based access control design + +**Design RBAC for your agent systems**: + +```text +I need to implement role-based access control for enterprise deployment: + +User roles: [different types of users in your organization] +Agent capabilities: [what each agent can do] +Sensitive operations: [actions that need special permissions] +Approval workflows: [what requires manager or admin approval] + +Design an RBAC system that provides appropriate access while maintaining security. +``` + +### Common enterprise roles and permissions + +**Agent Administrator**: + +- Full access to configure and manage agent systems +- Can create, modify, and delete agents and workflows +- Access to monitoring, logging, and debugging tools +- Responsibility for system maintenance and optimization + +**Business User**: + +- Access to interact with approved agents for their role +- Can use agents for business tasks within their domain +- Cannot modify agent configurations or access sensitive data +- Subject to usage monitoring and compliance controls + +**Data Analyst**: + +- Access to agents that process and analyze data +- Can run reports and analytics workflows +- Access to historical data and trends within their scope +- Cannot access raw data or modify data processing rules + +**Auditor/Compliance Officer**: + +- Read-only access to audit logs and compliance reports +- Can view agent configurations and security controls +- Access to performance metrics and usage analytics +- Cannot modify systems or access business data + +### Permission management workflows + +**User onboarding process**: + +```text +Design a user onboarding process for agent systems: + +New user types: [employees, contractors, partners] +Approval workflow: [who approves different types of access] +Training requirements: [what users need to learn before access] +Access review: [how often permissions are reviewed] + +Create a streamlined but secure onboarding process for new agent system users. +``` + +**Access request and approval**: + +```text +Create an access request system for agent capabilities: + +Request types: [different types of access users might need] +Approval chain: [who approves different requests] +Justification requirements: [what business justification is needed] +Time limits: [temporary vs permanent access] + +Design a system that balances security with user productivity. +``` + +## Step 5: Enterprise deployment and change management + +Enterprise deployments require formal change management and deployment +procedures: + +### Deployment pipeline design + +**Create enterprise deployment pipelines**: + +```text +I need to design deployment pipelines for enterprise agent systems: + +Environments: [development, staging, production environments needed] +Testing requirements: [what testing is required before production] +Approval gates: [who must approve deployments] +Rollback procedures: [how to handle failed deployments] + +Design deployment pipelines that ensure quality while meeting enterprise change management requirements. +``` + +### Change management processes + +**Implement formal change management**: + +```text +Design change management processes for agent systems: + +Change types: [configuration changes, new agents, workflow updates] +Impact assessment: [how to evaluate change risk and impact] +Approval requirements: [who must approve different types of changes] +Communication: [how to notify stakeholders of changes] +Documentation: [what must be documented for each change] + +Create change management that ensures stability while enabling innovation. +``` + +### Key deployment considerations + +**Environment management**: + +- Separate development, staging, and production environments +- Automated testing and validation in each environment +- Production-like data and configurations in staging +- Controlled promotion between environments + +**Release management**: + +- Scheduled release windows for production changes +- Rollback procedures and automated recovery +- Canary deployments and gradual rollouts +- Post-deployment validation and monitoring + +**Documentation and communication**: + +- Comprehensive documentation of all changes +- Stakeholder communication and notification procedures +- Training materials for new features and capabilities +- Incident response and escalation procedures + +## Step 6: Monitor and maintain enterprise compliance + +Enterprise systems require ongoing compliance monitoring and maintenance: + +### Compliance monitoring and reporting + +**Implement continuous compliance monitoring**: + +```text +Create ongoing compliance monitoring for agent systems: + +Compliance requirements: [specific regulations and standards] +Monitoring metrics: [what needs to be tracked for compliance] +Reporting schedule: [how often compliance reports are needed] +Remediation procedures: [how to address compliance issues] + +Design monitoring that provides early warning of compliance issues and automated reporting. +``` + +### Regular compliance activities + +**Monthly compliance tasks**: + +- Access review and cleanup +- Security control validation +- Audit log analysis and archival +- Compliance metric reporting + +**Quarterly compliance tasks**: + +- Comprehensive security assessment +- Penetration testing and vulnerability scanning +- Business continuity and disaster recovery testing +- Compliance framework review and updates + +**Annual compliance tasks**: + +- Full compliance audit and certification +- Security policy review and updates +- Risk assessment and mitigation planning +- Stakeholder training and awareness programs + +### Enterprise support and maintenance + +**Create enterprise support procedures**: + +```text +Design enterprise support procedures for agent systems: + +Support tiers: [different levels of support needed] +Response times: [SLAs for different issue types] +Escalation procedures: [when and how to escalate issues] +Documentation: [what documentation is needed for support] + +Create support procedures that ensure enterprise users receive appropriate assistance. +``` + +## What you've accomplished + +In 30 minutes, you've mastered enterprise agent deployment: + +**Integration architecture**: Designed enterprise integration patterns for +existing business systems + +**Security controls**: Implemented comprehensive security and access governance +frameworks + +**Compliance frameworks**: Created audit trails and compliance processes for +regulated environments + +**User management**: Built sophisticated RBAC and user management systems + +**Enterprise deployment**: Established change management and deployment +procedures for business-critical systems + +## The value of enterprise-ready agent systems + +Enterprise deployment capabilities enable broader organizational impact: + +**Organizational trust**: Proper security and governance builds confidence in +agent systems **Regulatory compliance**: Compliance frameworks enable deployment +in regulated industries **Scale and reliability**: Enterprise standards support +mission-critical business processes **User adoption**: Proper user management +and training drives broader organizational adoption **Long-term success**: +Enterprise practices ensure sustainable, maintainable agent systems + + + Week 3 reflection and strategic planning. Assess your advanced orchestration + capabilities and plan for Week 4's production deployment and optimization + focus. + + +## Pro tip for today + +Create an enterprise readiness checklist: + +```text +Help me create an enterprise readiness checklist for agent systems: + +Security controls: [what security measures must be in place] +Compliance requirements: [regulatory and policy compliance needed] +Integration points: [systems that must be connected] +User management: [access control and user onboarding requirements] +Support procedures: [how enterprise users get help] + +This checklist should help evaluate whether agent systems are ready for enterprise deployment. +``` + +Use this checklist to assess readiness before any enterprise deployment. + +--- + +**Time to complete**: ~30 minutes + +**Skills learned**: Enterprise integration patterns, security controls, +compliance frameworks, RBAC systems, change management, enterprise support + +**Next**: Day 15 - Week 3 reflection and strategic planning for production +optimization + + + **Remember**: Enterprise deployment is about trust and reliability. Invest in + proper security, governance, and support to build organizational confidence in + agent systems. + diff --git a/agents/30-days-of-agents/day-15.mdx b/agents/30-days-of-agents/day-15.mdx new file mode 100644 index 00000000..fa9f402a --- /dev/null +++ b/agents/30-days-of-agents/day-15.mdx @@ -0,0 +1,303 @@ +--- +title: "Day 15: Week 3 Reflection - Advanced Orchestration Mastery" +sidebarTitle: "Day 15: Week 3 Reflection" +description: + "Reflect on your advanced orchestration journey, assess your sophisticated + agent capabilities, and strategically plan for production optimization and + scaling." +--- + + + **Goal**: reflect on advanced orchestration mastery and plan strategic scaling + +**Theme**: advanced orchestration week completion - strategic planning + +**Time investment**: ~20 minutes + + + +Congratulations! You've completed Week 3 and achieved **advanced orchestration +mastery**. In just 5 days, you've progressed from individual agent creation to +sophisticated multi-agent systems, autonomous workflows, production monitoring, +and enterprise-ready deployment. + +You're now equipped with the skills to build and operate business-critical agent +systems. + +## Your Week 3 transformation + +### Advanced orchestration capabilities developed + +**Day 11: Multi-Agent Collaboration** + +- **What you mastered**: Orchestrating multiple agents working together on + complex projects +- **Key insight**: "Specialized agents collaborating like a high-performing team + unlock capabilities no single agent can achieve" +- **Strategic value**: Ability to tackle complex business processes that require + multiple specializations + +**Day 12: Advanced Workflow Automation** + +- **What you mastered**: Autonomous agent systems with triggers, schedules, and + event-driven workflows +- **Key insight**: "Agents evolved from assistants to autonomous team members + operating 24/7" +- **Strategic value**: Continuous business process automation without human + intervention + +**Day 13: Production Monitoring and Debugging** + +- **What you mastered**: Comprehensive monitoring, debugging, and maintenance + for business-critical systems +- **Key insight**: "Production agent systems require operational discipline to + maintain stakeholder trust" +- **Strategic value**: Reliable systems that enable confident organizational + dependence + +**Day 14: Enterprise Integration and Security** + +- **What you mastered**: Enterprise-grade security, compliance, and integration + patterns +- **Key insight**: "Enterprise deployment requires governance frameworks that + build organizational trust" +- **Strategic value**: Ability to deploy agent systems in regulated, + business-critical environments + +**Day 15: Strategic Planning and Scaling** + +- **What you're achieving**: Comprehensive assessment and strategic planning for + organizational impact +- **Key insight**: "Advanced orchestration capabilities enable transformational + organizational impact" +- **Strategic value**: Foundation for enterprise-wide agent system deployment + and optimization + +## The advanced orchestration difference + +**Most teams** Build individual agents for specific tasks **You now** +Orchestrate sophisticated multi-agent systems that operate autonomously in +enterprise environments + +**Before Week 3**: "How can we automate this specific task with an agent?" +**After Week 3**: "How can we orchestrate autonomous agent systems that +transform our entire operational infrastructure?" + +This isn't just a skill upgrade—it's the ability to architect and operate +agent-powered business transformation. + +## Assess your advanced capabilities + +Let's systematically assess the sophisticated capabilities you've developed: + +### Multi-agent orchestration assessment + +**Evaluate your multi-agent coordination skills**: + +```text +Assess my multi-agent orchestration capabilities based on Week 3: + +Collaboration patterns: [which patterns have I successfully implemented] +Coordination complexity: [most sophisticated workflows I've orchestrated] +Agent specializations: [different types of agents I can coordinate] +Handoff management: [how well I handle agent-to-agent transitions] + +What advanced orchestration capabilities have I developed, and where should I focus for continued growth? +``` + +### Autonomous operation assessment + +**Review your autonomous workflow capabilities**: + +```text +Evaluate my autonomous agent system capabilities: + +Automation triggers: [types of triggers I've successfully implemented] +Workflow complexity: [most sophisticated autonomous processes] +Error handling: [how well my systems handle exceptions] +Business impact: [measurable outcomes from autonomous operations] + +What autonomous operation capabilities distinguish my approach, and how can I expand their impact? +``` + +### Production readiness assessment + +**Assess your production deployment capabilities**: + +```text +Review my production-ready agent system capabilities: + +Monitoring sophistication: [depth of monitoring and observability I've implemented] +Debugging expertise: [how quickly I can diagnose and resolve issues] +Enterprise integration: [level of enterprise features I can implement] +Compliance readiness: [regulatory and governance capabilities developed] + +How production-ready are my agent systems, and what capabilities position me for enterprise deployment? +``` + +## Strategic planning for organizational impact + +Advanced orchestration enables transformational organizational impact. Let's +plan strategically: + +### Organizational opportunity assessment + +**Identify high-impact opportunities in your organization**: + +```text +Help me identify the highest-impact opportunities for advanced agent orchestration in my organization: + +Current business processes: [major workflows and operational areas] +Pain points and inefficiencies: [where automation could provide significant value] +Stakeholder priorities: [what leadership cares about most] +Technical infrastructure: [existing systems and integration opportunities] +Competitive advantages: [how agent systems could differentiate the organization] + +What strategic opportunities would provide the most transformational impact? +``` + +### Scaling strategy development + +**Create a strategic plan for scaling agent systems across your organization**: + +```text +Design a scaling strategy for enterprise-wide agent system deployment: + +Current capabilities: [advanced orchestration skills I've developed] +Organizational readiness: [stakeholder buy-in and technical infrastructure] +Resource requirements: [what's needed to scale successfully] +Risk mitigation: [potential challenges and how to address them] +Success metrics: [how to measure transformational impact] + +What's the optimal strategy for scaling advanced agent systems across the organization? +``` + +### Investment prioritization + +**Prioritize areas for continued learning and development**: + +```text +Help me prioritize areas for continued agent system development: + +Strengths: [advanced capabilities I've mastered] +Growth areas: [skills that need further development] +Emerging technologies: [new capabilities on the horizon] +Business priorities: [what the organization needs most] + +Where should I focus my continued learning to maximize impact and stay ahead of the curve? +``` + +## Week 4 preview: Production optimization and scaling + +Next week focuses on production optimization and enterprise scaling: + +**Production Performance Optimization** Advanced techniques for maximizing agent +system performance and efficiency + +**Cost Management and Resource Optimization** Strategies for managing costs +while scaling agent operations + +**Enterprise Change Management** Leading organizational transformation through +agent system adoption + +**Advanced Analytics and Business Intelligence** Using agent systems to generate +strategic business insights + +**Strategic Planning and ROI Optimization** Measuring and optimizing the +business impact of agent systems + +Your Week 3 advanced orchestration foundation makes you ready for these +enterprise optimization capabilities. + +## Knowledge consolidation and documentation + +Document your advanced orchestration expertise for future reference and +knowledge sharing: + +### Create your orchestration playbook + +**Document successful patterns and approaches**: + +```text +Help me create an advanced orchestration playbook that captures: + +Multi-agent patterns: [successful collaboration patterns I've developed] +Automation frameworks: [autonomous workflow templates that work well] +Monitoring procedures: [production monitoring approaches that provide value] +Enterprise practices: [security and compliance patterns for business-critical deployment] + +This playbook should serve as a reference for future projects and knowledge sharing with others. +``` + +### Share knowledge and build community + +**Consider how to share your expertise and learn from others**: + +```text +How can I share my advanced orchestration expertise and continue learning from the community? + +Knowledge sharing opportunities: [how to help others learn advanced orchestration] +Community engagement: [how to stay connected with other advanced practitioners] +Continued learning: [areas where I can learn from others' experiences] +Thought leadership: [opportunities to contribute to the broader agent development community] + +What's the best approach for contributing to and learning from the agent orchestration community? +``` + +## Celebrating your advanced orchestration mastery + +In just 15 days (Weeks 2-3), you've achieved remarkable sophistication: + +**Week 2**: Custom agent creation and connection mastery **Week 3**: Advanced +orchestration, autonomous operation, and enterprise deployment + +**The compound effect**: Your capabilities build on each other, creating +exponentially more value as you combine individual agent skills with advanced +orchestration expertise. + +**Strategic positioning**: You're now equipped to lead agent system initiatives +in enterprise environments and drive transformational organizational impact. + + + **Week 4 launches soon** with production optimization, cost management, and + enterprise scaling strategies that build on your advanced orchestration + foundation. + + +## The future of work transformation + +Your advanced orchestration capabilities position you at the forefront of work +transformation: + +- **Autonomous business processes** that operate 24/7 without human intervention +- **Intelligent orchestration** that adapts and optimizes based on performance + and feedback +- **Enterprise-grade reliability** that enables mission-critical business + dependence +- **Strategic impact** that transforms how organizations operate and compete + +You're not just building agent systems—you're architecting the future of +intelligent business operations. + +--- + +**Time to complete**: ~20 minutes + +**Week 3 capabilities mastered**: Multi-agent orchestration, autonomous +workflows, production monitoring, enterprise integration, strategic planning + +**Coming next**: Week 4 - Production optimization and enterprise scaling +strategies + + + **You've achieved orchestration mastery**: You can now design and operate + sophisticated agent systems that transform business operations. Your next + challenge is optimizing and scaling these capabilities for maximum + organizational impact. + + +--- + +_Your advanced orchestration journey continues with Week 4's focus on production +optimization and strategic scaling. You're ready to lead transformational change +through intelligent agent systems._ diff --git a/agents/30-days-of-agents/domain-specific-agents.mdx b/agents/30-days-of-agents/domain-specific-agents.mdx new file mode 100644 index 00000000..4342e38d --- /dev/null +++ b/agents/30-days-of-agents/domain-specific-agents.mdx @@ -0,0 +1,122 @@ +--- +title: "Week 3: Domain-Specific Agents" +sidebarTitle: "Choose your path" +description: + "Dive into domain-specific agents. Learn how to build agents tailored to + specific tasks and industries, enhancing their effectiveness and efficiency." +--- + +![Agents Bootcamp: domain specific agents - Week 3](/images/agents/30-days-of-agents/bootcamp-week-3.png) + +Welcome to Week 3! You've mastered the fundamentals with Sidekick and built +custom agents with Concierge. Now it's time to **specialize**. + +This week focuses on domain-specific agents—AI that understands the nuances of +specific business functions and tools. You'll learn to build agents that don't +just use tools, but truly understand the workflows and best practices of +different domains. + +## Choose Your Learning Path + +Week 3 offers **specialized domain tracks** based on your role and interests. +You can follow domains that match your work, or complete multiple tracks to +become an **Agent Super Builder**. + + + + **Day 11: Stripe Integration** + Build agents that handle payments, subscriptions, and financial workflows with deep business intelligence. + + *Perfect for: Revenue Operations, Finance Teams, SaaS Businesses* + + + + **Day 12: GitHub & Vercel Integration** Create agents that manage code + repositories, deployments, and development workflows with engineering + expertise. *Perfect for: Developers, DevOps Teams, Platform Engineers* + + + + **Day 13: Neo4j & MongoDB Integration** Build agents that work with graph + databases and document stores for complex data analysis and insights. *Perfect + for: Data Engineers, Analytics Teams, Backend Developers* + + + + **Day 14: Attio CRM Integration** Develop agents that manage customer + relationships, track opportunities, and automate sales workflows. *Perfect + for: Sales Teams, Customer Success, Revenue Operations* + + + + **Day 15: Google Workspace & EventBrite Integration** + Create agents that automate document management, email workflows, and event coordination. + + *Perfect for: Marketing Teams, Event Managers, Executive Assistants* + + + +## Learning Outcomes + +By the end of Week 3, you'll have: + +### Domain Expertise + +- **Deep understanding** of how agents work within specific business contexts +- **Tool mastery** for your chosen domain's essential integrations +- **Workflow automation** that solves real business problems +- **Best practices** for domain-specific agent development + +### Advanced Agent Building + +- **Multi-step orchestration** across complex business workflows +- **Context-aware reasoning** that understands domain nuances +- **Error handling** and edge case management for production use +- **Performance optimization** for business-critical operations + +### Strategic Implementation + +- **Business impact assessment** of agent implementations +- **Integration planning** with existing business systems +- **Scaling strategies** for organizational adoption +- **ROI demonstration** through measurable workflow improvements + +## Community Showcase + +Each day, we encourage you to **share what you built** with the community: + + + After completing each domain challenge, share your agent creation in the + Discord community. Show off your workflow automation, discuss implementation + challenges, and inspire others with your domain expertise. + + +**What to share:** + +- **Agent overview**: What domain problem you solved and how your agent + approaches it +- **Workflow demo**: Key automation or intelligence your agent provides +- **Business impact**: How this agent improves real work processes +- **Implementation insights**: What you learned about domain-specific agent + building + +## Getting Started + +1. **Assess your work context**: Which domains would provide the most immediate + value? +2. **Choose your learning approach**: Focused specialization or Super Builder + path +3. **Prepare your integrations**: Ensure access to relevant tools and accounts +4. **Set success criteria**: Define what great domain expertise looks like for + your role + + + Ready to build domain expertise? Choose your domains and begin creating agents + that understand the nuances of how real business work gets done. + + +--- + +**Remember**: The goal isn't just to use integrations—it's to build agents that +think like domain experts and can reason through complex, real-world scenarios +with professional sophistication. diff --git a/docs.json b/docs.json index 1621e380..cd378c08 100644 --- a/docs.json +++ b/docs.json @@ -107,6 +107,17 @@ "agents/30-days-of-agents/day-9", "agents/30-days-of-agents/day-10" ] + }, + { + "group": "Week 3", + "pages": [ + "agents/30-days-of-agents/domain-specific-agents", + "agents/30-days-of-agents/day-11", + "agents/30-days-of-agents/day-12", + "agents/30-days-of-agents/day-13", + "agents/30-days-of-agents/day-14", + "agents/30-days-of-agents/day-15" + ] } ] }, From 921022f62ee1f2479495787dc6675f71fec909d5 Mon Sep 17 00:00:00 2001 From: danstarns Date: Tue, 15 Jul 2025 10:41:02 -0700 Subject: [PATCH 2/7] updates --- agents/30-days-of-agents/day-11.mdx | 321 +++++------- agents/30-days-of-agents/day-13.mdx | 264 ++++------ agents/30-days-of-agents/day-14.mdx | 496 +++++------------- agents/30-days-of-agents/day-15.mdx | 354 +++++-------- .../domain-specific-agents.mdx | 105 +--- 5 files changed, 509 insertions(+), 1031 deletions(-) diff --git a/agents/30-days-of-agents/day-11.mdx b/agents/30-days-of-agents/day-11.mdx index f8c06c04..054ceb19 100644 --- a/agents/30-days-of-agents/day-11.mdx +++ b/agents/30-days-of-agents/day-11.mdx @@ -1,295 +1,210 @@ --- -title: "Day 11: Multi-Agent Collaboration - When Agents Work Together" -sidebarTitle: "Day 11: Multi-Agent Collaboration" +title: "Day 11: Finance & Revenue Operations - Stripe Integration" +sidebarTitle: "Day 11: Stripe Integration" description: - "Learn to orchestrate multiple agents working together on complex projects. - Understand delegation patterns, handoffs, and collaborative workflows that - combine different agent specializations." + "Build a revenue operations agent that monitors payments, analyzes + subscription metrics, and provides financial insights through Stripe + integration." --- - - **Goal**: orchestrate multiple agents to collaborate on a complex workflow + + **Goal**: create a revenue operations agent with Stripe integration -**Theme**: advanced orchestration week - multi-agent coordination +**Theme**: domain specialization week - financial intelligence -**Time investment**: ~25 minutes +**Time investment**: ~20 minutes -Welcome to Day 11 and Week 3! You've mastered individual agent creation and -optimization. Now you'll learn to orchestrate **multiple agents working -together**—combining different specializations to tackle complex projects that -no single agent could handle alone. +Welcome to Day 11 and Week 3! You've mastered agent creation and workflows. Now +you'll specialize in **domain-specific agents**—starting with finance and +revenue operations through Stripe integration. -This is where agent systems become truly powerful: specialized agents -collaborating like a high-performing team. +This week is about building agents that don't just use tools, but understand the +business context and best practices of specific domains. ## What you'll accomplish today -- Understand multi-agent collaboration patterns and when to use them -- Design a multi-agent workflow with clear delegation and handoffs -- Implement agent-to-agent communication and coordination -- Experience how specialized agents combine their strengths -- Learn to manage complex workflows with multiple moving parts +- Build a revenue operations agent that understands financial workflows +- Connect Stripe for payment and subscription intelligence +- Create automated revenue reporting and customer insights +- Learn domain-specific patterns for financial agents - This builds on your agent creation skills from Week 2. You'll need at least 2 - custom agents to complete today's collaboration exercises. + This builds on your Week 2 agent creation skills. You'll need a Stripe account + with appropriate permissions to complete today's integration. -## Step 1: Understanding multi-agent patterns +## Step 1: Understanding revenue agent patterns -Before building collaborative workflows, understand the key patterns for agent -coordination: +Financial agents need specialized knowledge beyond basic tool usage: -### Sequential collaboration (pipeline) +### Domain expertise requirements -Agent A completes work → passes results to Agent B → Agent B continues the work +Revenue agents must understand: -**Example workflow**: Research Agent gathers market data → Analysis Agent -processes insights → Report Agent creates executive summary - -### Parallel collaboration (divide and conquer) - -Multiple agents work on different aspects of the same project simultaneously - -**Example workflow**: Content Agent drafts social posts + Design Agent creates -visuals + Schedule Agent plans distribution timing - -### Hierarchical collaboration (manager-worker) - -One agent coordinates and delegates while specialized agents execute specific -tasks - -**Example workflow**: Project Manager Agent assigns tasks → Technical Agent -handles code reviews + Marketing Agent manages campaigns - -### Peer collaboration (consensus building) - -Agents contribute different perspectives to reach better decisions - -**Example workflow**: Multiple research agents analyze different data sources → -consolidate findings into comprehensive recommendations +- **Financial metrics**: MRR, churn, LTV, CAC, and their relationships +- **Customer lifecycle**: Trial → paid → expansion → renewal patterns +- **Risk indicators**: Failed payments, cancellations, downgrades +- **Compliance needs**: Data privacy, financial reporting requirements - **Choose the right pattern**: Sequential for dependent workflows, parallel for - independent tasks, hierarchical for complex coordination, peer for - decision-making. + **Domain thinking**: Your agent should reason like a revenue operations + manager, not just fetch Stripe data. -## Step 2: Design your first multi-agent workflow - -Let's create a practical multi-agent workflow. Choose a scenario that requires -multiple specializations: - -### Scenario example: Product launch coordination - -**Agents needed**: - -- Market Research Agent (analyzes competitive landscape) -- Content Creation Agent (develops messaging and materials) -- Campaign Management Agent (coordinates timeline and execution) - -**Start by defining the workflow with one of your existing agents**: - -```text -I want to design a multi-agent workflow for [your chosen scenario]. -I have these agents available: [list your agents and their capabilities]. - -Can you help me design a collaboration pattern where these agents work together? -Map out the handoffs, dependencies, and coordination points. -``` - -Watch how your agent: - -- Analyzes the strengths of each available agent -- Identifies optimal collaboration patterns -- Maps dependencies and handoff points -- Suggests coordination mechanisms -- Recommends workflow improvements +## Step 2: Create your revenue operations agent -### Example workflow design: - -**Phase 1**: Market Research Agent conducts competitive analysis **Handoff 1**: -Research findings passed to Content Creation Agent **Phase 2**: Content Agent -develops messaging based on research insights **Handoff 2**: Content passed to -Campaign Management Agent **Phase 3**: Campaign Agent coordinates launch -execution using research and content - -## Step 3: Implement agent coordination - -Now let's put multi-agent collaboration into practice: - -**Start with your primary coordinating agent**: +Work with Concierge to build a specialized financial agent: ```text -I'm implementing a multi-agent workflow for [your scenario]. -You'll be coordinating with [other agent names] to complete this project. +I want to create a revenue operations agent that monitors our Stripe payments and subscriptions. -Here's the workflow we designed: [paste your workflow from Step 2] +The agent should: +- Track key revenue metrics (MRR, churn, new vs expansion revenue) +- Identify at-risk customers based on payment patterns +- Generate weekly revenue reports with insights +- Alert on significant revenue events (large cancellations, payment failures) +- Provide customer health scores based on payment history -Let's start with Phase 1. Can you begin the initial work and prepare the handoff to [next agent]? +It should think like a revenue operations manager who understands SaaS metrics. ``` -**Key coordination elements to implement**: - -- **Clear handoff formats**: Standardize how information passes between agents -- **Status tracking**: Each agent reports progress and completion -- **Quality checkpoints**: Agents verify work before handoffs -- **Feedback loops**: Later agents can request clarification from earlier agents +## Step 3: Connect and configure Stripe -### Managing the handoff process: +Add Stripe to your agent's connections: -When Agent A completes their work: +1. **Navigate to Connections** in your agent settings +2. **Search for Stripe** and click "Add Connection" +3. **Authenticate** with your Stripe account +4. **Select appropriate permissions** (read access to payments, customers, + subscriptions) -1. **Document outputs clearly** for the next agent -2. **Summarize key findings** and recommendations -3. **Flag any dependencies** or requirements for next steps -4. **Provide context** about decisions made during the work +### Key Stripe capabilities for revenue agents -When Agent B receives the handoff: +Your agent can now: -1. **Confirm understanding** of the inputs and context -2. **Ask clarifying questions** if anything is unclear -3. **Validate assumptions** from the previous agent's work -4. **Proceed with clear acknowledgment** of responsibilities +- **Analyze payment data**: Success rates, failure reasons, retry patterns +- **Monitor subscriptions**: New, upgraded, downgraded, cancelled +- **Track customer behavior**: Payment methods, billing cycles, usage patterns +- **Generate insights**: Revenue trends, cohort analysis, forecasting - - **Document everything**: Multi-agent workflows require clear documentation at - each step. Encourage agents to summarize their work and reasoning for the next - agent in the chain. - - -## Step 4: Advanced coordination techniques +## Step 4: Implement revenue intelligence workflows -As your workflow progresses, implement these advanced coordination patterns: - -### Parallel coordination +Test your agent with real revenue scenarios: ```text -I need [Agent A] and [Agent B] to work on different aspects of this project simultaneously. - -Agent A: Focus on [specific aspect] -Agent B: Focus on [different aspect] - -Coordinate your timelines and check in when you've both completed your initial work. +Can you analyze our revenue performance this month and identify any concerning trends? ``` -### Quality assurance handoffs +Your agent should: -```text -Before we move to the next phase, I want [Quality Agent] to review the work from [Previous Agent]. +- Pull current month's transaction data from Stripe +- Calculate key metrics (MRR, churn rate, growth rate) +- Identify anomalies or concerning patterns +- Provide actionable recommendations -Check for: [specific quality criteria] -Approve or request revisions before we proceed. -``` - -### Consensus building +### Example revenue analysis ```text -I have different perspectives from [Agent A] and [Agent B] on [decision point]. - -Can you both discuss your reasoning and work toward a consensus recommendation? -[Agent C], please facilitate this discussion and help reach a decision. +What's our current MRR and how has it changed this quarter? +Which customers are at risk of churning? ``` -## Step 5: Monitor and optimize workflows +The agent analyzes: -Multi-agent coordination requires active management: +- **MRR trends**: Current MRR, growth rate, net new vs expansion +- **Churn indicators**: Failed payments, downgrades, usage decline +- **Customer health**: Payment reliability, engagement, upgrade potential +- **Action items**: Customers needing attention, upsell opportunities -**Track progress across agents**: +## Step 5: Create automated revenue workflows -```text -Can each agent provide a status update on their current work? -- What's completed? -- What's in progress? -- Any blockers or dependencies? -- Estimated completion time? -``` +Build repeatable revenue tasks: -**Identify optimization opportunities**: +**Weekly revenue report**: ```text -Based on how this workflow has progressed, what could we optimize? -- Are there unnecessary handoffs? -- Could any work be done in parallel instead of sequential? -- Are agents waiting too long for inputs? -- How can we improve the coordination process? +Every Monday, analyze last week's revenue performance including: +- New vs lost MRR +- Payment failure rate and recovery +- Top customers by revenue +- Churn risk assessment +- Week-over-week comparison + +Format as an executive summary with key metrics and action items. ``` -**Document successful patterns**: +**Customer health monitoring**: ```text -This multi-agent workflow worked well. Can you help me document: -- The successful coordination patterns we used -- Key handoff formats that worked effectively -- Quality checkpoints that prevented issues -- Lessons learned for future multi-agent projects +Daily, check for: +- Failed payments needing attention +- Customers with multiple failed attempts +- Sudden usage drops indicating churn risk +- Opportunities for upgrades based on usage + +Alert me only for critical issues needing immediate action. ``` -## What you've accomplished + + **TODO**: Advanced Stripe webhook integration and automated dunning workflows + will be covered in future advanced sessions. + -In 25 minutes, you've mastered multi-agent orchestration: +## What you've accomplished -**Pattern recognition**: Learned to identify the right collaboration pattern for -different scenarios +In 20 minutes, you've built a domain-specific revenue operations agent: -**Workflow design**: Created structured multi-agent workflows with clear -dependencies and handoffs +**Financial intelligence**: Agent that understands revenue metrics and SaaS +business models -**Coordination implementation**: Successfully orchestrated multiple agents -working together on complex projects +**Stripe integration**: Connected payment and subscription data for real-time +insights -**Quality management**: Implemented checkpoints and feedback loops to ensure -work quality across agent handoffs +**Automated workflows**: Revenue reporting and customer health monitoring -**Optimization skills**: Learned to monitor and improve multi-agent workflows -based on performance +**Domain expertise**: Agent that thinks like a revenue operations manager, not +just a data fetcher -## The power of agent collaboration +## The power of domain-specific agents -Multi-agent workflows unlock capabilities that no single agent can achieve: +Unlike generic agents, domain-specific agents: -**Specialized expertise**: Each agent brings deep knowledge in their domain -**Parallel processing**: Multiple aspects of complex projects handled -simultaneously -**Quality assurance**: Agents can review and improve each other's work -**Scalability**: Add specialized agents as project complexity grows **Fault -tolerance**: If one agent struggles, others can compensate or provide -alternatives +- **Understand context**: Know what metrics matter and why +- **Identify patterns**: Recognize revenue risks before they become problems +- **Provide insights**: Actionable recommendations, not just data dumps +- **Automate expertise**: Scale revenue operations knowledge across your team - Advanced workflow automation with triggers, schedules, and event-driven agent - collaboration. Learn to build systems that operate with minimal human - intervention. + Development & infrastructure with GitHub and Vercel. Build agents that manage + code, deployments, and development workflows. ## Pro tip for today -After completing your multi-agent workflow, ask your coordinating agent: +Ask your revenue agent: ```text -What made this multi-agent collaboration successful? How could we standardize these patterns for future complex projects? +Based on our payment patterns, what early warning signs should I watch for to prevent churn? ``` -This helps you develop reusable coordination templates that make future -multi-agent projects more efficient. +This helps your agent develop predictive capabilities specific to your business. --- -**Time to complete**: ~25 minutes +**Time to complete**: ~20 minutes -**Skills learned**: Multi-agent pattern recognition, workflow design, agent -coordination, handoff management, quality assurance, optimization +**Skills learned**: Domain-specific agent design, Stripe integration, revenue +intelligence, automated financial workflows -**Next**: Day 12 - Advanced workflow automation and event-driven collaboration +**Next**: Day 12 - Development & infrastructure agents with GitHub and Vercel - **Remember**: Multi-agent systems are more powerful but also more complex. - Start with simple collaborations and gradually build up to sophisticated - orchestration patterns. + **Remember**: The best financial agents don't just report numbers—they + understand what those numbers mean for your business and what actions to take. diff --git a/agents/30-days-of-agents/day-13.mdx b/agents/30-days-of-agents/day-13.mdx index b9657874..ee4cf170 100644 --- a/agents/30-days-of-agents/day-13.mdx +++ b/agents/30-days-of-agents/day-13.mdx @@ -1,243 +1,199 @@ --- -title: "Day 13: Data & Analytics - Connecting to Databases" -sidebarTitle: "Day 13: Database Connections" +title: "Day 13: Project Management & Documentation - Linear & Notion" +sidebarTitle: "Day 13: Linear & Notion" description: - "Learn how to connect your agents to databases through Hypermode, enabling - data-driven insights and automated analysis." + "Build a project management agent that coordinates tasks, tracks progress, and + maintains documentation across Linear and Notion." --- - - **Goal**: connect your agent to a database and enable data-driven insights + + **Goal**: create a project coordination agent with Linear and Notion -**Theme**: domain specialization week - database intelligence +**Theme**: domain specialization week - project intelligence **Time investment**: ~20 minutes -Welcome to Day 13! Today you'll learn how to connect your agents to databases -through Hypermode's connection system. We'll use Neo4j as an example, but the -same approach works for any database—SQL, NoSQL, or specialized data stores. - -Your agents can query data, analyze patterns, and provide insights without you -needing to write complex queries yourself. +Welcome to Day 13! Today you'll build a **project management agent** that +bridges task tracking in Linear with documentation in Notion. This agent +understands how modern teams work across multiple tools. ## What you'll accomplish today -- Understand how database connections work in Hypermode -- Connect an agent to a database (Neo4j example) -- See how agents translate questions into queries -- Get insights from your data through natural language -- Learn the pattern for building data-driven agents +- Build a project management agent that coordinates across tools +- Connect Linear for issue tracking and sprint management +- Integrate Notion for documentation and knowledge management +- Create workflows that keep projects and docs in sync - This builds on your Week 2 agent creation skills. For today's example, you can - use any available database connection or follow along conceptually. + You'll need access to Linear and Notion workspaces with appropriate + permissions to complete today's exercises. -## Step 1: How database connections work - -Hypermode agents can connect to virtually any database: +## Step 1: Understanding project management patterns -### Supported databases include +Project agents need to understand: -- **SQL databases**: PostgreSQL, MySQL, SQL Server -- **NoSQL stores**: MongoDB, DynamoDB -- **Graph databases**: Neo4j, Amazon Neptune -- **Data warehouses**: Snowflake, BigQuery -- **Time-series**: InfluxDB, TimescaleDB +### Cross-tool coordination -### Connection process - -1. **Add connection** from Hypermode's connection library -2. **Authenticate securely** with credentials stored encrypted -3. **Assign to your agent** through the connections panel -4. **Start asking questions** in natural language +- **Task lifecycle**: From idea in Notion → issue in Linear → documentation + update +- **Status synchronization**: Keep project status consistent across platforms +- **Knowledge capture**: Document decisions and outcomes, not just track tasks +- **Team collaboration**: Different tools for different team members - **No query language needed**: Your agent translates your business questions - into the appropriate database queries automatically. + **Multi-tool thinking**: Your agent should understand that Linear tracks work + while Notion captures knowledge—and keep both synchronized. -## Step 2: Create a data analysis agent - -Let's build an agent that can analyze customer data: +## Step 2: Create your project management agent -**Start with Concierge:** +Work with Concierge to build a cross-platform coordinator: ```text -I want to create a data analysis agent that connects to our customer database to answer business questions and provide insights. - -The agent should understand our business context and help me analyze customer patterns, identify opportunities, and track important metrics. -``` - -### Simple agent setup +I want to create a project management agent that coordinates between Linear and Notion. -Your agent needs: +The agent should: +- Track sprint progress in Linear and update project docs in Notion +- Create Linear issues from Notion meeting notes and planning docs +- Generate weekly project summaries combining task data and documentation +- Ensure technical decisions in Linear are documented in Notion +- Keep project roadmaps synchronized across both platforms -- **Database connection** (Neo4j in this example) -- **Business context** about what the data represents -- **Clear instructions** to provide insights, not just raw data - -## Step 3: Connect and query naturally +It should act like a technical project manager who ensures nothing falls through the cracks. +``` -Once connected, you can ask business questions directly: +## Step 3: Connect Linear and Notion -### Example 1: Customer insights +Add both connections to your agent: -```text -You: Who are our most valuable customers? +**Linear connection**: -Agent: I'll analyze the customer data to identify your most valuable customers. +- Issue management and creation +- Sprint tracking and velocity +- Project status and milestones +- Team workload visibility -Based on the database analysis, here are your top customers: +**Notion connection**: -**Top 5 Most Valuable Customers:** -1. **TechCorp Solutions** - $487K annual revenue, 47 referrals -2. **FinanceFlow Inc** - $398K annual revenue, active for 3 years -3. **GlobalTech Ventures** - $342K annual revenue, expanding rapidly -4. **DataDynamics LLC** - $289K annual revenue, 23 team members -5. **CloudFirst Systems** - $234K annual revenue, high engagement +- Documentation reading and updates +- Meeting notes processing +- Knowledge base management +- Project wiki maintenance -**Key Insight**: Your top 5 customers represent 23% of total revenue and have referred 134 other customers. Focus retention efforts here. -``` +## Step 4: Implement coordination workflows -### Example 2: Pattern detection +### Workflow 1: Sprint documentation ```text -You: Are there any concerning trends I should know about? - -Agent: I've identified some patterns that need attention: - -**⚠️ Concerning Trends:** - -1. **Reduced Activity in Enterprise Segment** - - 34% of enterprise customers haven't logged in this month - - This segment typically drives 45% of revenue - -2. **Referral Rate Declining** - - New customer referrals down 23% from last quarter - - Top referrers showing less activity +At the end of each sprint, can you: +1. Summarize completed Linear issues +2. Extract key decisions and technical changes +3. Update our Notion sprint retrospective doc +4. Identify undocumented features that need wiki updates +``` -**Recommendations:** -- Reach out to dormant enterprise accounts this week -- Re-engage your top 10 referrers with incentives -- Consider a customer health check campaign +Your agent coordinates: -Would you like me to identify specific customers for outreach? -``` +- Pulls completed issues from Linear +- Identifies important decisions and changes +- Updates Notion with structured summaries +- Flags documentation gaps -### Example 3: Opportunity discovery +### Workflow 2: Meeting to task conversion ```text -You: What growth opportunities do you see in our data? +I just finished a planning meeting. The notes are in Notion under "Product Planning." +Can you create Linear issues for all the action items we discussed? +``` -Agent: I've found several growth opportunities in your customer data: +The agent: -**🎯 Growth Opportunities:** +- Reads meeting notes from Notion +- Identifies concrete action items +- Creates properly labeled Linear issues +- Links back to source documentation -1. **Upsell Potential** - - 67 customers hitting usage limits - - Estimated revenue opportunity: $34K/month +## Step 5: Build reusable coordination tasks -2. **Untapped Networks** - - 23 highly satisfied customers with no referrals yet - - Each typically could bring 3-5 new customers +**Daily standup prep**: -3. **Re-engagement Wins** - - 45 previously active accounts went dormant - - Historical win-back rate: 35% with targeted outreach +```text +Each morning, prepare a standup summary that includes: +- Yesterday's completed Linear issues +- Today's priorities from Linear +- Any blockers mentioned in Linear comments +- Related Notion docs for context -**Quick Win**: Send upgrade offers to the 67 customers hitting limits. Based on past campaigns, expect 40% conversion. +Post this in our Notion daily standups page. ``` -## Step 4: Building data-driven workflows - -Your database-connected agent can automate regular analysis: - -### Weekly business intelligence +**Documentation health check**: ```text -You: Can you give me our weekly business metrics summary? +Weekly, analyze: +- Linear issues marked "Done" without linked documentation +- Notion pages that reference outdated Linear issues +- Technical decisions in Linear not captured in Notion +- Project timelines that have diverged between tools -Agent: Here's your weekly business intelligence summary: - -**Week of March 10-16, 2024** - -📈 **Growth Metrics:** -- New customers: 34 (+12% vs last week) -- Revenue: $487K (+8% vs last week) -- Active users: 1,247 (+5%) - -📊 **Customer Health:** -- Engagement score: 78/100 (stable) -- Support tickets: 23 (-15% - good!) -- Feature adoption: 67% (+3%) - -🎯 **Action Items:** -- 12 trial accounts ready for conversion outreach -- 5 customers need check-ins (low activity alerts) -- 3 upsell opportunities identified - -Would you like details on any of these metrics? +Create a "Documentation Debt" report in Notion. ``` ## What you've accomplished -In 20 minutes, you've learned how to: - -**Connect databases**: Enable agents to access your business data securely +In 20 minutes, you've built a cross-platform project management agent: -**Natural language queries**: Ask questions without writing complex database -queries +**Multi-tool coordination**: Agent that understands Linear for execution and +Notion for knowledge -**Get insights, not just data**: Agents interpret results and provide -recommendations +**Automated synchronization**: Keeps tasks and documentation aligned -**Automate analysis**: Set up regular reporting and monitoring through your -agent +**Workflow intelligence**: Converts between different information formats -**Scale expertise**: Give everyone on your team data analyst capabilities +**Gap identification**: Finds where documentation doesn't match execution -## The power of database-connected agents +## The power of multi-tool agents -With database connections, your agents can: +Project management agents that span tools can: -- **Democratize data access** - Anyone can get insights without SQL knowledge -- **Proactive monitoring** - Agents watch for important changes and alert you -- **Cross-system analysis** - Connect multiple databases for complete pictures -- **Automated reporting** - Regular insights without manual work +- **Prevent information silos** by connecting execution with documentation +- **Reduce context switching** by bringing information together +- **Capture institutional knowledge** automatically from task execution +- **Improve team alignment** through consistent cross-tool updates - Customer Relationship Management with Attio. Build agents that transform CRM - from data entry to intelligent revenue operations. + Data & analytics with Neo4j and MongoDB. Build agents that understand complex + data relationships. ## Pro tip for today -Start simple with your database agent: +Ask your project agent: ```text -What are the three most important questions about our business that data could answer? -Let's make sure you can help me monitor these regularly. +What patterns do you notice between our Linear velocity and our Notion documentation quality? +How can we improve both? ``` -This helps your agent focus on what matters most to your business. +This helps your agent develop insights about your team's work patterns. --- **Time to complete**: ~20 minutes -**Skills learned**: Database connections, natural language querying, insight -generation, automated analysis +**Skills learned**: Multi-tool coordination, Linear integration, Notion +automation, project intelligence -**Next**: Day 14 - Customer Relationship Management with Attio CRM +**Next**: Day 14 - Data & analytics agents with Neo4j and MongoDB - **Remember**: You don't need to be a database expert. Your agent handles the - technical complexity while you focus on getting business insights. + **Remember**: The best project agents don't just move data between tools—they + understand how your team works and help improve processes. diff --git a/agents/30-days-of-agents/day-14.mdx b/agents/30-days-of-agents/day-14.mdx index f004951e..db3918f4 100644 --- a/agents/30-days-of-agents/day-14.mdx +++ b/agents/30-days-of-agents/day-14.mdx @@ -1,477 +1,219 @@ --- -title: - "Day 14: Enterprise Integration and Security - Business-Critical Agent - Deployment" -sidebarTitle: "Day 14: Enterprise Integration" +title: "Day 14: Data & Analytics Intelligence - Neo4j & MongoDB" +sidebarTitle: "Day 14: Neo4j & MongoDB" description: - "Master enterprise integration patterns, security controls, and governance - frameworks for deploying agent systems in business-critical environments." + "Build data analysis agents that understand graph relationships in Neo4j and + document structures in MongoDB for complex business intelligence." --- - - **Goal**: implement enterprise-grade security and integration patterns for agent systems + + **Goal**: create data intelligence agents for graph and document databases -**Theme**: advanced orchestration week - enterprise readiness +**Theme**: domain specialization week - data & analytics -**Time investment**: ~30 minutes +**Time investment**: ~20 minutes -Welcome to Day 14! You've built reliable, monitored agent systems. Today you'll -learn **enterprise integration and security**—the practices needed to deploy -agent systems in business-critical environments with proper governance, -compliance, and security controls. - -This is where agent systems become enterprise infrastructure. +Welcome to Day 14! Today you'll build **data intelligence agents** that work +with modern databases—Neo4j for graph relationships and MongoDB for document +structures. These agents understand complex data patterns, not just queries. ## What you'll accomplish today -- Design enterprise integration patterns for existing business systems -- Implement security controls and access governance for agent systems -- Create compliance frameworks and audit trails for regulated environments -- Build user management and role-based access control (RBAC) systems -- Learn enterprise deployment and change management practices +- Build agents that understand graph relationships and document structures +- Connect Neo4j for relationship analysis and pattern detection +- Integrate MongoDB for flexible document querying +- Create insights from complex, interconnected data - This focuses on enterprise-grade deployment. You'll need working agent systems - from previous days to implement enterprise integration and security patterns. + You'll need access to Neo4j and/or MongoDB instances to complete today's + hands-on exercises. The concepts apply to any modern database. -## Step 1: Understanding enterprise integration requirements - -Enterprise environments have specific requirements that differ from individual -or small team deployments: - -### System integration patterns - -Agents must integrate with existing enterprise infrastructure - -**Common integration requirements**: - -- Single Sign-On (SSO) with corporate identity providers -- Integration with existing databases and data warehouses -- Connection to enterprise APIs and internal services -- Compliance with corporate security policies and standards - -### Governance and compliance - -Agents must operate within corporate governance frameworks - -**Key governance areas**: - -- Data access controls and privacy requirements -- Audit logging and compliance reporting -- Change management and approval processes -- Risk management and security assessments - -### Scale and reliability - -Enterprise deployments require higher standards for availability and performance +## Step 1: Understanding modern data patterns -**Enterprise requirements**: +Data intelligence agents must grasp: -- High availability and disaster recovery -- Performance SLAs and guaranteed response times -- Scalability to handle enterprise workloads -- 24/7 support and incident response +### Graph intelligence (Neo4j) -### User management and access control +- **Relationship mapping**: How entities connect and influence each other +- **Pattern detection**: Finding hidden connections in networks +- **Path analysis**: Shortest paths, influence chains, impact radius +- **Community detection**: Clusters, groups, and anomalies -Multiple users and roles require sophisticated access management +### Document intelligence (MongoDB) -**Access control needs**: - -- Role-based permissions and responsibilities -- Department and project-based access scoping -- External partner and vendor access management -- Regular access reviews and compliance audits +- **Schema flexibility**: Varying document structures and embedded data +- **Aggregation patterns**: Complex queries across nested documents +- **Time-series analysis**: Historical patterns and trends +- **Geospatial insights**: Location-based patterns and relationships - **Start with security**: Enterprise integration begins with understanding - security requirements. Get these right first, then build other capabilities on - top. + **Beyond SQL thinking**: Modern data agents understand relationships and + document structures, not just tables and rows. -## Step 2: Design enterprise integration architecture - -Let's create an enterprise integration plan for your agent systems: - -### Integration assessment and planning - -**Start by assessing your enterprise integration needs**: - -```text -I need to prepare my agent systems for enterprise deployment. Help me assess integration requirements: - -Current agent systems: [describe your agents and workflows] -Enterprise environment: [describe the organization and tech stack] -Integration points needed: [existing systems agents need to access] -Security requirements: [known security policies and constraints] -Compliance needs: [regulatory or industry requirements] - -Design an enterprise integration architecture that addresses these requirements. -``` - -Watch your agent analyze: - -- Critical integration points and dependencies -- Security controls and access patterns needed -- Compliance requirements and audit trails -- Performance and scalability considerations -- Change management and deployment procedures - -### Common enterprise integration patterns - -**API Gateway pattern**: Centralize access control and monitoring - -- All agent external access goes through enterprise API gateway -- Centralized authentication, rate limiting, and logging -- Standard security controls applied consistently - -**Service Mesh integration**: Integrate with enterprise service mesh - -- Agents operate as services within corporate service mesh -- Automatic mTLS, observability, and policy enforcement -- Native integration with enterprise monitoring and security tools - -**Data Lake integration**: Connect to enterprise data platforms - -- Agents access data through enterprise data lake/warehouse -- Centralized data governance and access controls -- Consistent data quality and lineage tracking - -**Identity Provider integration**: Use corporate identity management - -- SSO integration with corporate identity providers -- Role-based access mapped to corporate directory -- Automated provisioning and deprovisioning - -## Step 3: Implement security controls and governance - -Enterprise security requires multiple layers of protection and control: - -### Access control and authentication - -**Implement enterprise-grade access controls**: - -```text -I need to implement enterprise security controls for my agent systems: - -User types: [employees, contractors, partners, external users] -Access patterns: [how different users should interact with agents] -Sensitive data: [what data agents access and how it should be protected] -Corporate policies: [existing security policies that apply] - -Help me design access controls that meet enterprise security requirements while maintaining agent functionality. -``` - -### Key security controls to implement - -**Authentication and authorization**: - -- Multi-factor authentication (MFA) for all users -- Role-based access control (RBAC) with principle of least privilege -- Regular access reviews and automated deprovisioning -- Integration with corporate identity and access management (IAM) - -**Data protection**: - -- Encryption at rest and in transit for all agent data -- Data loss prevention (DLP) controls for sensitive information -- Privacy controls for personally identifiable information (PII) -- Data retention and deletion policies - -**Network security**: +## Step 2: Create specialized data agents -- Network segmentation and firewall controls -- VPN or private network access requirements -- Monitoring and intrusion detection for agent communications -- API security and rate limiting - -**Audit and compliance**: - -- Comprehensive audit logging of all agent activities -- Compliance reporting and automated assessments -- Regular security assessments and penetration testing -- Incident response procedures for security events - -### Compliance framework implementation - -**Create compliance frameworks for regulated environments**: +### Graph intelligence agent (Neo4j) ```text -My organization operates in a regulated industry [specify industry/regulations]. +I want to create a customer intelligence agent using our Neo4j graph database. -Regulatory requirements: [specific compliance needs like SOX, HIPAA, GDPR, etc.] -Audit requirements: [what needs to be logged and reported] -Data handling rules: [restrictions on data access, storage, processing] -Risk management: [how risks must be assessed and mitigated] +The agent should: +- Analyze customer relationship networks and referral chains +- Identify influential customers based on connection patterns +- Find communities and clusters in our user base +- Detect unusual relationship patterns that might indicate fraud +- Recommend connections that could drive growth -Help me design a compliance framework that ensures agent systems meet regulatory requirements. +Think like a network analyst who understands social dynamics and graph theory. ``` -## Step 4: Build user management and RBAC systems - -Enterprise environments require sophisticated user and permission management: - -### Role-based access control design - -**Design RBAC for your agent systems**: +### Document analytics agent (MongoDB) ```text -I need to implement role-based access control for enterprise deployment: +I want to create a product analytics agent using our MongoDB database. -User roles: [different types of users in your organization] -Agent capabilities: [what each agent can do] -Sensitive operations: [actions that need special permissions] -Approval workflows: [what requires manager or admin approval] +The agent should: +- Analyze product usage patterns across different user segments +- Track feature adoption through nested event documents +- Identify user journeys from unstructured activity logs +- Find patterns in customer feedback and support tickets +- Generate insights from varying document schemas -Design an RBAC system that provides appropriate access while maintaining security. +Think like a data scientist working with semi-structured data. ``` -### Common enterprise roles and permissions - -**Agent Administrator**: - -- Full access to configure and manage agent systems -- Can create, modify, and delete agents and workflows -- Access to monitoring, logging, and debugging tools -- Responsibility for system maintenance and optimization - -**Business User**: - -- Access to interact with approved agents for their role -- Can use agents for business tasks within their domain -- Cannot modify agent configurations or access sensitive data -- Subject to usage monitoring and compliance controls - -**Data Analyst**: +## Step 3: Connect and explore your databases -- Access to agents that process and analyze data -- Can run reports and analytics workflows -- Access to historical data and trends within their scope -- Cannot access raw data or modify data processing rules +### Neo4j connection capabilities -**Auditor/Compliance Officer**: +Your agent can: -- Read-only access to audit logs and compliance reports -- Can view agent configurations and security controls -- Access to performance metrics and usage analytics -- Cannot modify systems or access business data +- **Traverse relationships**: Follow connections multiple degrees deep +- **Find patterns**: Match complex relationship structures +- **Calculate centrality**: Identify important nodes in networks +- **Detect communities**: Find natural groupings and clusters -### Permission management workflows +### MongoDB connection capabilities -**User onboarding process**: +Your agent can: -```text -Design a user onboarding process for agent systems: - -New user types: [employees, contractors, partners] -Approval workflow: [who approves different types of access] -Training requirements: [what users need to learn before access] -Access review: [how often permissions are reviewed] +- **Query nested documents**: Access deeply embedded data +- **Aggregate flexibly**: Group, filter, and transform documents +- **Handle variety**: Work with different document structures +- **Process time-series**: Analyze temporal patterns -Create a streamlined but secure onboarding process for new agent system users. -``` +## Step 4: Implement data intelligence workflows -**Access request and approval**: +### Graph analysis example (Neo4j) ```text -Create an access request system for agent capabilities: - -Request types: [different types of access users might need] -Approval chain: [who approves different requests] -Justification requirements: [what business justification is needed] -Time limits: [temporary vs permanent access] - -Design a system that balances security with user productivity. +Who are our most influential customers based on referral networks? +How can we leverage these relationships for growth? ``` -## Step 5: Enterprise deployment and change management - -Enterprise deployments require formal change management and deployment -procedures: +Your agent analyzes: -### Deployment pipeline design +- Referral chains and their success rates +- Network effects from key customers +- Community structures and growth patterns +- Opportunities for connection strategies -**Create enterprise deployment pipelines**: +### Document analysis example (MongoDB) ```text -I need to design deployment pipelines for enterprise agent systems: - -Environments: [development, staging, production environments needed] -Testing requirements: [what testing is required before production] -Approval gates: [who must approve deployments] -Rollback procedures: [how to handle failed deployments] - -Design deployment pipelines that ensure quality while meeting enterprise change management requirements. +What user behavior patterns predict successful feature adoption? +Which segments are struggling with our new features? ``` -### Change management processes - -**Implement formal change management**: +Your agent examines: -```text -Design change management processes for agent systems: - -Change types: [configuration changes, new agents, workflow updates] -Impact assessment: [how to evaluate change risk and impact] -Approval requirements: [who must approve different types of changes] -Communication: [how to notify stakeholders of changes] -Documentation: [what must be documented for each change] +- Feature usage sequences in activity logs +- Correlation between user properties and adoption +- Time-to-value patterns across segments +- Drop-off points in user journeys -Create change management that ensures stability while enabling innovation. -``` +## Step 5: Create advanced data workflows -### Key deployment considerations - -**Environment management**: - -- Separate development, staging, and production environments -- Automated testing and validation in each environment -- Production-like data and configurations in staging -- Controlled promotion between environments - -**Release management**: - -- Scheduled release windows for production changes -- Rollback procedures and automated recovery -- Canary deployments and gradual rollouts -- Post-deployment validation and monitoring - -**Documentation and communication**: - -- Comprehensive documentation of all changes -- Stakeholder communication and notification procedures -- Training materials for new features and capabilities -- Incident response and escalation procedures - -## Step 6: Monitor and maintain enterprise compliance - -Enterprise systems require ongoing compliance monitoring and maintenance: - -### Compliance monitoring and reporting - -**Implement continuous compliance monitoring**: +**Network health monitoring** (Neo4j): ```text -Create ongoing compliance monitoring for agent systems: - -Compliance requirements: [specific regulations and standards] -Monitoring metrics: [what needs to be tracked for compliance] -Reporting schedule: [how often compliance reports are needed] -Remediation procedures: [how to address compliance issues] +Weekly, analyze our customer network for: +- Growing communities that might need dedicated support +- Isolated users who could benefit from connections +- Referral chains that have gone cold +- Emerging influencers based on connection growth -Design monitoring that provides early warning of compliance issues and automated reporting. +Provide actionable recommendations for community management. ``` -### Regular compliance activities - -**Monthly compliance tasks**: - -- Access review and cleanup -- Security control validation -- Audit log analysis and archival -- Compliance metric reporting - -**Quarterly compliance tasks**: - -- Comprehensive security assessment -- Penetration testing and vulnerability scanning -- Business continuity and disaster recovery testing -- Compliance framework review and updates - -**Annual compliance tasks**: - -- Full compliance audit and certification -- Security policy review and updates -- Risk assessment and mitigation planning -- Stakeholder training and awareness programs - -### Enterprise support and maintenance - -**Create enterprise support procedures**: +**Behavioral intelligence** (MongoDB): ```text -Design enterprise support procedures for agent systems: - -Support tiers: [different levels of support needed] -Response times: [SLAs for different issue types] -Escalation procedures: [when and how to escalate issues] -Documentation: [what documentation is needed for support] +Daily, process user activity documents to identify: +- Unusual usage patterns indicating potential issues +- Feature combinations that drive engagement +- User segments with declining activity +- Success patterns we should replicate -Create support procedures that ensure enterprise users receive appropriate assistance. +Focus on actionable insights, not just statistics. ``` ## What you've accomplished -In 30 minutes, you've mastered enterprise agent deployment: - -**Integration architecture**: Designed enterprise integration patterns for -existing business systems +In 20 minutes, you've built sophisticated data intelligence agents: -**Security controls**: Implemented comprehensive security and access governance -frameworks +**Graph understanding**: Agents that see relationships, not just data points -**Compliance frameworks**: Created audit trails and compliance processes for -regulated environments +**Document flexibility**: Working with varied, nested, and complex structures -**User management**: Built sophisticated RBAC and user management systems +**Pattern recognition**: Finding insights in connected and unstructured data -**Enterprise deployment**: Established change management and deployment -procedures for business-critical systems +**Actionable intelligence**: Recommendations based on data patterns, not just +queries -## The value of enterprise-ready agent systems +## The power of modern data agents -Enterprise deployment capabilities enable broader organizational impact: +Data agents that understand modern databases can: -**Organizational trust**: Proper security and governance builds confidence in -agent systems **Regulatory compliance**: Compliance frameworks enable deployment -in regulated industries **Scale and reliability**: Enterprise standards support -mission-critical business processes **User adoption**: Proper user management -and training drives broader organizational adoption **Long-term success**: -Enterprise practices ensure sustainable, maintainable agent systems +- **Reveal hidden connections** in relationship networks +- **Find patterns in chaos** of unstructured documents +- **Predict behaviors** from historical patterns +- **Enable data democracy** without query language expertise - Week 3 reflection and strategic planning. Assess your advanced orchestration - capabilities and plan for Week 4's production deployment and optimization - focus. + Customer relationship management with Attio and Google Sheets. Build agents + for sales intelligence and spreadsheet automation. ## Pro tip for today -Create an enterprise readiness checklist: +Challenge your data agents: ```text -Help me create an enterprise readiness checklist for agent systems: - -Security controls: [what security measures must be in place] -Compliance requirements: [regulatory and policy compliance needed] -Integration points: [systems that must be connected] -User management: [access control and user onboarding requirements] -Support procedures: [how enterprise users get help] - -This checklist should help evaluate whether agent systems are ready for enterprise deployment. +What non-obvious patterns in our data could give us a competitive advantage? +Show me connections or trends I wouldn't think to look for. ``` -Use this checklist to assess readiness before any enterprise deployment. +This pushes agents beyond basic queries to true intelligence. --- -**Time to complete**: ~30 minutes +**Time to complete**: ~20 minutes -**Skills learned**: Enterprise integration patterns, security controls, -compliance frameworks, RBAC systems, change management, enterprise support +**Skills learned**: Graph database intelligence, document database analytics, +pattern recognition, modern data workflows -**Next**: Day 15 - Week 3 reflection and strategic planning for production -optimization +**Next**: Day 15 - CRM and spreadsheet intelligence with Attio and Google Sheets - **Remember**: Enterprise deployment is about trust and reliability. Invest in - proper security, governance, and support to build organizational confidence in - agent systems. + **Remember**: The best data agents don't just run queries—they understand the + meaning behind the data and find patterns humans might miss. diff --git a/agents/30-days-of-agents/day-15.mdx b/agents/30-days-of-agents/day-15.mdx index fa9f402a..aff14181 100644 --- a/agents/30-days-of-agents/day-15.mdx +++ b/agents/30-days-of-agents/day-15.mdx @@ -1,303 +1,221 @@ --- -title: "Day 15: Week 3 Reflection - Advanced Orchestration Mastery" -sidebarTitle: "Day 15: Week 3 Reflection" +title: "Day 15: Customer Intelligence & Data Operations - Attio & Google Sheets" +sidebarTitle: "Day 15: Attio & Google Sheets" description: - "Reflect on your advanced orchestration journey, assess your sophisticated - agent capabilities, and strategically plan for production optimization and - scaling." + "Build sales intelligence agents that manage CRM data in Attio and operational + data in Google Sheets, creating unified customer insights and automated + workflows." --- - - **Goal**: reflect on advanced orchestration mastery and plan strategic scaling + + **Goal**: create customer intelligence agents with CRM and spreadsheet mastery -**Theme**: advanced orchestration week completion - strategic planning +**Theme**: domain specialization week - customer & operational intelligence **Time investment**: ~20 minutes -Congratulations! You've completed Week 3 and achieved **advanced orchestration -mastery**. In just 5 days, you've progressed from individual agent creation to -sophisticated multi-agent systems, autonomous workflows, production monitoring, -and enterprise-ready deployment. +Welcome to Day 15! You'll complete Week 3 by building **customer intelligence +agents** that bridge modern CRM (Attio) with operational spreadsheets (Google +Sheets). These agents transform disconnected data into unified customer +insights. -You're now equipped with the skills to build and operate business-critical agent -systems. +## What you'll accomplish today -## Your Week 3 transformation +- Build agents that understand customer relationships and sales processes +- Connect Attio for modern CRM intelligence +- Integrate Google Sheets for operational data and reporting +- Create unified views across sales and operational systems -### Advanced orchestration capabilities developed + + You'll need access to Attio and Google Sheets to complete today's exercises. + The patterns apply to any CRM and spreadsheet combination. + -**Day 11: Multi-Agent Collaboration** +## Step 1: Understanding customer intelligence patterns -- **What you mastered**: Orchestrating multiple agents working together on - complex projects -- **Key insight**: "Specialized agents collaborating like a high-performing team - unlock capabilities no single agent can achieve" -- **Strategic value**: Ability to tackle complex business processes that require - multiple specializations +Customer intelligence agents must understand: -**Day 12: Advanced Workflow Automation** +### CRM intelligence (Attio) -- **What you mastered**: Autonomous agent systems with triggers, schedules, and - event-driven workflows -- **Key insight**: "Agents evolved from assistants to autonomous team members - operating 24/7" -- **Strategic value**: Continuous business process automation without human - intervention +- **Relationship mapping**: Companies, contacts, and their interactions +- **Pipeline dynamics**: Deal flow, conversion rates, and bottlenecks +- **Activity patterns**: What actions correlate with successful outcomes +- **Data enrichment**: Combining CRM data with external intelligence -**Day 13: Production Monitoring and Debugging** +### Operational intelligence (Google Sheets) -- **What you mastered**: Comprehensive monitoring, debugging, and maintenance - for business-critical systems -- **Key insight**: "Production agent systems require operational discipline to - maintain stakeholder trust" -- **Strategic value**: Reliable systems that enable confident organizational - dependence +- **Flexible reporting**: Custom metrics and calculations +- **Data bridging**: Information that lives outside the CRM +- **Historical tracking**: Trends and patterns over time +- **Team accessibility**: Shared operational dashboards -**Day 14: Enterprise Integration and Security** - -- **What you mastered**: Enterprise-grade security, compliance, and integration - patterns -- **Key insight**: "Enterprise deployment requires governance frameworks that - build organizational trust" -- **Strategic value**: Ability to deploy agent systems in regulated, - business-critical environments - -**Day 15: Strategic Planning and Scaling** - -- **What you're achieving**: Comprehensive assessment and strategic planning for - organizational impact -- **Key insight**: "Advanced orchestration capabilities enable transformational - organizational impact" -- **Strategic value**: Foundation for enterprise-wide agent system deployment - and optimization - -## The advanced orchestration difference - -**Most teams** Build individual agents for specific tasks **You now** -Orchestrate sophisticated multi-agent systems that operate autonomously in -enterprise environments - -**Before Week 3**: "How can we automate this specific task with an agent?" -**After Week 3**: "How can we orchestrate autonomous agent systems that -transform our entire operational infrastructure?" - -This isn't just a skill upgrade—it's the ability to architect and operate -agent-powered business transformation. - -## Assess your advanced capabilities - -Let's systematically assess the sophisticated capabilities you've developed: + + **Unified thinking**: Your agent should understand that CRMs track + relationships while spreadsheets often contain the operational truth. + -### Multi-agent orchestration assessment +## Step 2: Create customer intelligence agents -**Evaluate your multi-agent coordination skills**: +Work with Concierge to build a unified intelligence agent: ```text -Assess my multi-agent orchestration capabilities based on Week 3: +I want to create a customer intelligence agent that works with Attio and Google Sheets. -Collaboration patterns: [which patterns have I successfully implemented] -Coordination complexity: [most sophisticated workflows I've orchestrated] -Agent specializations: [different types of agents I can coordinate] -Handoff management: [how well I handle agent-to-agent transitions] +The agent should: +- Monitor deal pipeline in Attio and update forecasting sheets +- Enrich CRM data with operational metrics from spreadsheets +- Generate unified customer health scores combining both sources +- Alert on mismatches between CRM pipeline and operational data +- Create executive dashboards that merge relationship and operational insights -What advanced orchestration capabilities have I developed, and where should I focus for continued growth? +It should think like a revenue operations analyst who sees the full picture. ``` -### Autonomous operation assessment +## Step 3: Connect Attio and Google Sheets -**Review your autonomous workflow capabilities**: +### Attio capabilities -```text -Evaluate my autonomous agent system capabilities: +Your agent can: -Automation triggers: [types of triggers I've successfully implemented] -Workflow complexity: [most sophisticated autonomous processes] -Error handling: [how well my systems handle exceptions] -Business impact: [measurable outcomes from autonomous operations] +- **Manage relationships**: Create and update companies, contacts, deals +- **Track activities**: Log interactions, meetings, and touchpoints +- **Analyze pipelines**: Deal stages, conversion rates, and velocity +- **Custom attributes**: Work with your specific data model -What autonomous operation capabilities distinguish my approach, and how can I expand their impact? -``` +### Google Sheets capabilities -### Production readiness assessment +Your agent can: -**Assess your production deployment capabilities**: +- **Read/write data**: Update cells, ranges, and formulas +- **Create reports**: Generate new sheets with formatted data +- **Process calculations**: Run complex operational metrics +- **Maintain history**: Track changes over time -```text -Review my production-ready agent system capabilities: +## Step 4: Implement unified workflows -Monitoring sophistication: [depth of monitoring and observability I've implemented] -Debugging expertise: [how quickly I can diagnose and resolve issues] -Enterprise integration: [level of enterprise features I can implement] -Compliance readiness: [regulatory and governance capabilities developed] +### Workflow 1: Pipeline-to-forecast synchronization -How production-ready are my agent systems, and what capabilities position me for enterprise deployment? +```text +Can you analyze our current Attio pipeline and update our revenue forecast sheet? +Include deal probability based on stage and historical conversion rates. ``` -## Strategic planning for organizational impact +Your agent: -Advanced orchestration enables transformational organizational impact. Let's -plan strategically: +- Pulls current pipeline from Attio +- Calculates weighted revenue by stage +- Updates forecast spreadsheet with breakdown +- Highlights changes from last update -### Organizational opportunity assessment - -**Identify high-impact opportunities in your organization**: +### Workflow 2: Customer health scoring ```text -Help me identify the highest-impact opportunities for advanced agent orchestration in my organization: - -Current business processes: [major workflows and operational areas] -Pain points and inefficiencies: [where automation could provide significant value] -Stakeholder priorities: [what leadership cares about most] -Technical infrastructure: [existing systems and integration opportunities] -Competitive advantages: [how agent systems could differentiate the organization] +Create a unified customer health score combining: +- Attio: engagement frequency, deal value, relationship strength +- Sheets: product usage, support tickets, payment history -What strategic opportunities would provide the most transformational impact? +Identify at-risk accounts that need attention. ``` -### Scaling strategy development +The agent: -**Create a strategic plan for scaling agent systems across your organization**: +- Merges relationship data with operational metrics +- Calculates composite health scores +- Flags accounts with declining indicators +- Suggests intervention strategies -```text -Design a scaling strategy for enterprise-wide agent system deployment: +## Step 5: Build automated intelligence tasks -Current capabilities: [advanced orchestration skills I've developed] -Organizational readiness: [stakeholder buy-in and technical infrastructure] -Resource requirements: [what's needed to scale successfully] -Risk mitigation: [potential challenges and how to address them] -Success metrics: [how to measure transformational impact] +**Weekly sales intelligence report**: -What's the optimal strategy for scaling advanced agent systems across the organization? +```text +Every Monday, create a sales intelligence report that: +1. Summarizes pipeline changes in Attio +2. Updates win rate calculations in our metrics sheet +3. Identifies deals stuck in stages too long +4. Compares CRM pipeline to operational forecasts +5. Highlights data discrepancies needing cleanup + +Format for our executive team meeting. ``` -### Investment prioritization - -**Prioritize areas for continued learning and development**: +**Customer success automation**: ```text -Help me prioritize areas for continued agent system development: +Daily, monitor for: +- New deals closed in Attio → Create onboarding checklist in Sheets +- Usage drops in Sheets data → Update account status in Attio +- Support tickets in Sheets → Log activities in Attio +- Payment issues in Sheets → Flag deals at risk in Attio -Strengths: [advanced capabilities I've mastered] -Growth areas: [skills that need further development] -Emerging technologies: [new capabilities on the horizon] -Business priorities: [what the organization needs most] - -Where should I focus my continued learning to maximize impact and stay ahead of the curve? +Keep both systems synchronized for accurate customer view. ``` -## Week 4 preview: Production optimization and scaling - -Next week focuses on production optimization and enterprise scaling: + + **TODO**: Advanced Attio workflow automation and custom object management will + be covered in future sessions. + -**Production Performance Optimization** Advanced techniques for maximizing agent -system performance and efficiency +## What you've accomplished -**Cost Management and Resource Optimization** Strategies for managing costs -while scaling agent operations +In 20 minutes, you've built comprehensive customer intelligence: -**Enterprise Change Management** Leading organizational transformation through -agent system adoption +**Unified data view**: Agents that bridge CRM and operational data -**Advanced Analytics and Business Intelligence** Using agent systems to generate -strategic business insights +**Automated synchronization**: Keep multiple systems aligned automatically -**Strategic Planning and ROI Optimization** Measuring and optimizing the -business impact of agent systems +**Intelligent insights**: Combine relationship and operational intelligence -Your Week 3 advanced orchestration foundation makes you ready for these -enterprise optimization capabilities. +**Proactive alerts**: Catch issues before they impact revenue -## Knowledge consolidation and documentation +## Week 3 complete: Domain specialization achieved -Document your advanced orchestration expertise for future reference and -knowledge sharing: +You've completed Week 3 and mastered domain-specific agent development: -### Create your orchestration playbook +- **Day 11**: Financial intelligence with Stripe +- **Day 12**: Development workflows with GitHub and Vercel +- **Day 13**: Project coordination with Linear and Notion +- **Day 14**: Data analytics with Neo4j and MongoDB +- **Day 15**: Customer intelligence with Attio and Google Sheets -**Document successful patterns and approaches**: +## The power of domain expertise -```text -Help me create an advanced orchestration playbook that captures: +Your agents now: -Multi-agent patterns: [successful collaboration patterns I've developed] -Automation frameworks: [autonomous workflow templates that work well] -Monitoring procedures: [production monitoring approaches that provide value] -Enterprise practices: [security and compliance patterns for business-critical deployment] +- **Understand business context**, not just tool APIs +- **Think like domain experts** in their specialized areas +- **Connect disparate systems** into unified intelligence +- **Provide actionable insights**, not just data movement -This playbook should serve as a reference for future projects and knowledge sharing with others. -``` + + **Production deployment and optimization** - Take your agents from development + to business-critical production systems with monitoring, scaling, and + performance optimization. + -### Share knowledge and build community +## Pro tip for Week 3 -**Consider how to share your expertise and learn from others**: +Ask any of your domain agents: ```text -How can I share my advanced orchestration expertise and continue learning from the community? - -Knowledge sharing opportunities: [how to help others learn advanced orchestration] -Community engagement: [how to stay connected with other advanced practitioners] -Continued learning: [areas where I can learn from others' experiences] -Thought leadership: [opportunities to contribute to the broader agent development community] - -What's the best approach for contributing to and learning from the agent orchestration community? +What patterns have you noticed that could fundamentally change how we operate? +What would a 10x improvement look like in your domain? ``` -## Celebrating your advanced orchestration mastery - -In just 15 days (Weeks 2-3), you've achieved remarkable sophistication: - -**Week 2**: Custom agent creation and connection mastery **Week 3**: Advanced -orchestration, autonomous operation, and enterprise deployment - -**The compound effect**: Your capabilities build on each other, creating -exponentially more value as you combine individual agent skills with advanced -orchestration expertise. - -**Strategic positioning**: You're now equipped to lead agent system initiatives -in enterprise environments and drive transformational organizational impact. - - - **Week 4 launches soon** with production optimization, cost management, and - enterprise scaling strategies that build on your advanced orchestration - foundation. - - -## The future of work transformation - -Your advanced orchestration capabilities position you at the forefront of work -transformation: - -- **Autonomous business processes** that operate 24/7 without human intervention -- **Intelligent orchestration** that adapts and optimizes based on performance - and feedback -- **Enterprise-grade reliability** that enables mission-critical business - dependence -- **Strategic impact** that transforms how organizations operate and compete - -You're not just building agent systems—you're architecting the future of -intelligent business operations. +This pushes agents beyond automation to transformation. --- **Time to complete**: ~20 minutes -**Week 3 capabilities mastered**: Multi-agent orchestration, autonomous -workflows, production monitoring, enterprise integration, strategic planning +**Skills learned**: CRM intelligence, spreadsheet automation, unified customer +view, cross-system synchronization -**Coming next**: Week 4 - Production optimization and enterprise scaling -strategies +**Week 3 complete**: You're now a domain-specific agent builder! - **You've achieved orchestration mastery**: You can now design and operate - sophisticated agent systems that transform business operations. Your next - challenge is optimizing and scaling these capabilities for maximum - organizational impact. + **Remember**: The best domain agents don't just use tools—they embody the + expertise and judgment of seasoned professionals in their field. - ---- - -_Your advanced orchestration journey continues with Week 4's focus on production -optimization and strategic scaling. You're ready to lead transformational change -through intelligent agent systems._ diff --git a/agents/30-days-of-agents/domain-specific-agents.mdx b/agents/30-days-of-agents/domain-specific-agents.mdx index 4342e38d..fb1418ab 100644 --- a/agents/30-days-of-agents/domain-specific-agents.mdx +++ b/agents/30-days-of-agents/domain-specific-agents.mdx @@ -23,100 +23,47 @@ You can follow domains that match your work, or complete multiple tracks to become an **Agent Super Builder**. - + **Day 11: Stripe Integration** Build agents that handle payments, subscriptions, and financial workflows with deep business intelligence. *Perfect for: Revenue Operations, Finance Teams, SaaS Businesses* - + **Day 12: GitHub & Vercel Integration** Create agents that manage code repositories, deployments, and development workflows with engineering expertise. *Perfect for: Developers, DevOps Teams, Platform Engineers* - - **Day 13: Neo4j & MongoDB Integration** Build agents that work with graph - databases and document stores for complex data analysis and insights. *Perfect - for: Data Engineers, Analytics Teams, Backend Developers* + + **Day 13: Linear & Notion Integration** Build agents that coordinate tasks, + track progress, and maintain documentation across project tools. *Perfect for: + Project Managers, Engineering Teams, Product Teams* - - **Day 14: Attio CRM Integration** Develop agents that manage customer - relationships, track opportunities, and automate sales workflows. *Perfect - for: Sales Teams, Customer Success, Revenue Operations* + + **Day 14: Neo4j & MongoDB Integration** Build agents that work with graph + databases and document stores for complex data analysis and insights. *Perfect + for: Data Engineers, Analytics Teams, Backend Developers* - - **Day 15: Google Workspace & EventBrite Integration** - Create agents that automate document management, email workflows, and event coordination. + + **Day 15: Attio CRM & Google Sheets Integration** + Develop agents that manage customer relationships and operational data for unified business intelligence. - *Perfect for: Marketing Teams, Event Managers, Executive Assistants* + *Perfect for: Sales Teams, Customer Success, Revenue Operations* - -## Learning Outcomes - -By the end of Week 3, you'll have: - -### Domain Expertise - -- **Deep understanding** of how agents work within specific business contexts -- **Tool mastery** for your chosen domain's essential integrations -- **Workflow automation** that solves real business problems -- **Best practices** for domain-specific agent development - -### Advanced Agent Building - -- **Multi-step orchestration** across complex business workflows -- **Context-aware reasoning** that understands domain nuances -- **Error handling** and edge case management for production use -- **Performance optimization** for business-critical operations - -### Strategic Implementation - -- **Business impact assessment** of agent implementations -- **Integration planning** with existing business systems -- **Scaling strategies** for organizational adoption -- **ROI demonstration** through measurable workflow improvements - -## Community Showcase - -Each day, we encourage you to **share what you built** with the community: - - - After completing each domain challenge, share your agent creation in the - Discord community. Show off your workflow automation, discuss implementation - challenges, and inspire others with your domain expertise. - - -**What to share:** - -- **Agent overview**: What domain problem you solved and how your agent - approaches it -- **Workflow demo**: Key automation or intelligence your agent provides -- **Business impact**: How this agent improves real work processes -- **Implementation insights**: What you learned about domain-specific agent - building - -## Getting Started - -1. **Assess your work context**: Which domains would provide the most immediate - value? -2. **Choose your learning approach**: Focused specialization or Super Builder - path -3. **Prepare your integrations**: Ensure access to relevant tools and accounts -4. **Set success criteria**: Define what great domain expertise looks like for - your role - - - Ready to build domain expertise? Choose your domains and begin creating agents - that understand the nuances of how real business work gets done. - - ---- - -**Remember**: The goal isn't just to use integrations—it's to build agents that -think like domain experts and can reason through complex, real-world scenarios -with professional sophistication. From bb680972c12471852b1515d43f98ed2a79084139 Mon Sep 17 00:00:00 2001 From: danstarns Date: Tue, 15 Jul 2025 10:57:31 -0700 Subject: [PATCH 3/7] formatting for intro --- .../domain-specific-agents.mdx | 36 ++++++++++++------- 1 file changed, 23 insertions(+), 13 deletions(-) diff --git a/agents/30-days-of-agents/domain-specific-agents.mdx b/agents/30-days-of-agents/domain-specific-agents.mdx index fb1418ab..07b2ba83 100644 --- a/agents/30-days-of-agents/domain-specific-agents.mdx +++ b/agents/30-days-of-agents/domain-specific-agents.mdx @@ -16,7 +16,7 @@ specific business functions and tools. You'll learn to build agents that don't just use tools, but truly understand the workflows and best practices of different domains. -## Choose Your Learning Path +## Choose your learning path Week 3 offers **specialized domain tracks** based on your role and interests. You can follow domains that match your work, or complete multiple tracks to @@ -24,10 +24,12 @@ become an **Agent Super Builder**. - **Day 11: Stripe Integration** + **Day 11 Stripe Integration** + Build agents that handle payments, subscriptions, and financial workflows with deep business intelligence. - + *Perfect for: Revenue Operations, Finance Teams, SaaS Businesses* + - **Day 12: GitHub & Vercel Integration** Create agents that manage code + **Day 12 GitHub & Vercel Integration** Create agents that manage code repositories, deployments, and development workflows with engineering - expertise. *Perfect for: Developers, DevOps Teams, Platform Engineers* + expertise. + +Perfect for developers, DevOps teams, Platform engineers + - **Day 13: Linear & Notion Integration** Build agents that coordinate tasks, - track progress, and maintain documentation across project tools. *Perfect for: - Project Managers, Engineering Teams, Product Teams* + **Day 13 Linear & Notion Integration** Build agents that coordinate tasks, + track progress, and maintain documentation across project tools. + +_Perfect for project managers, engineering teams, product teams_ + - **Day 14: Neo4j & MongoDB Integration** Build agents that work with graph - databases and document stores for complex data analysis and insights. *Perfect - for: Data Engineers, Analytics Teams, Backend Developers* + **Day 14 Neo4j & MongoDB Integration** Build agents that work with graph + databases and document stores for complex data analysis and insights. + +Perfect for data engineers, analytics teams, backend developers + - **Day 15: Attio CRM & Google Sheets Integration** + **Day 15 Attio CRM & Google Sheets Integration** Develop agents that manage customer relationships and operational data for unified business intelligence. - + *Perfect for: Sales Teams, Customer Success, Revenue Operations* + From ed894397ff34e46eac60ac6d46a5984f84dd9d44 Mon Sep 17 00:00:00 2001 From: danstarns Date: Tue, 15 Jul 2025 11:08:22 -0700 Subject: [PATCH 4/7] trunk day 12 --- agents/30-days-of-agents/day-12.mdx | 37 +++++++++++-------- agents/30-days-of-agents/day-15.mdx | 24 ++++++------ styles/config/vocabularies/general/accept.txt | 5 ++- 3 files changed, 37 insertions(+), 29 deletions(-) diff --git a/agents/30-days-of-agents/day-12.mdx b/agents/30-days-of-agents/day-12.mdx index 3c9d2f54..3db6379e 100644 --- a/agents/30-days-of-agents/day-12.mdx +++ b/agents/30-days-of-agents/day-12.mdx @@ -67,7 +67,7 @@ Infrastructure agents must: - **Manage environment variables** and configuration securely - **Domain expertise matters**: Development agents need to understand not just + **Domain expertise matters** development agents need to understand not just how to use GitHub and Vercel APIs, but when and why to use specific features based on development best practices. @@ -376,31 +376,36 @@ Implement these automated workflows: In 30 minutes, you've built a sophisticated development and infrastructure agent that: -**Code intelligence**: Reviews code with understanding of quality, security, and +**Code intelligence** reviews code with understanding of quality, security, and performance implications beyond basic syntax -**Deployment orchestration**: Manages complex deployment workflows with staging +**Deployment orchestration** manages complex deployment workflows with staging validation, canary releases, and automatic rollbacks -**Production monitoring**: Tracks system health, detects anomalies, and takes +**Production monitoring** tracks system health, detects anomalies, and takes corrective action when needed -**Best practices automation**: Enforces development standards, manages +**Best practices automation** enforces development standards, manages dependencies, and coordinates releases -**Domain expertise**: Acts like a senior DevOps engineer, understanding not just +**Domain expertise** acts like a senior DevOps engineer, understanding not just how to use tools but when and why ## The power of domain-specific development agents Development agents that truly understand code and infrastructure can: -**Reduce deployment risk**: Catch issues before they reach production through -intelligent analysis **Accelerate development**: Automate repetitive tasks while -maintaining quality standards **Improve code quality**: Provide consistent, -actionable feedback on every change **Enable continuous deployment**: Safe, -automated releases with confidence **Scale expertise**: Every developer gets -access to senior-level DevOps knowledge +**Reduce deployment risk** catch issues before they reach production through +intelligent analysis + +**Accelerate development** automate repetitive tasks while maintaining quality +standards + +**Improve code quality** provide consistent, actionable feedback on every change + +**Enable continuous deployment** safe, automated releases with confidence + +**Scale expertise** every developer gets access to senior-level DevOps knowledge - **Remember**: The best development agents don't just execute commands—they + **Remember** the best development agents don't just execute commands—they understand the why behind development practices and make intelligent decisions about code quality, deployment safety, and system reliability. diff --git a/agents/30-days-of-agents/day-15.mdx b/agents/30-days-of-agents/day-15.mdx index aff14181..a1d33866 100644 --- a/agents/30-days-of-agents/day-15.mdx +++ b/agents/30-days-of-agents/day-15.mdx @@ -44,7 +44,7 @@ Customer intelligence agents must understand: - **Activity patterns**: What actions correlate with successful outcomes - **Data enrichment**: Combining CRM data with external intelligence -### Operational intelligence (Google Sheets) +### Operational intelligence (Google sheets) - **Flexible reporting**: Custom metrics and calculations - **Data bridging**: Information that lives outside the CRM @@ -52,7 +52,7 @@ Customer intelligence agents must understand: - **Team accessibility**: Shared operational dashboards - **Unified thinking**: Your agent should understand that CRMs track + **Unified thinking** your agent should understand that CRMs track relationships while spreadsheets often contain the operational truth. @@ -84,7 +84,7 @@ Your agent can: - **Analyze pipelines**: Deal stages, conversion rates, and velocity - **Custom attributes**: Work with your specific data model -### Google Sheets capabilities +### Google sheets capabilities Your agent can: @@ -154,7 +154,7 @@ Keep both systems synchronized for accurate customer view. ``` - **TODO**: Advanced Attio workflow automation and custom object management will + **TODO** Advanced Attio workflow automation and custom object management can be covered in future sessions. @@ -162,13 +162,13 @@ Keep both systems synchronized for accurate customer view. In 20 minutes, you've built comprehensive customer intelligence: -**Unified data view**: Agents that bridge CRM and operational data +**Unified data view** agents that bridge CRM and operational data -**Automated synchronization**: Keep multiple systems aligned automatically +**Automated synchronization** keep multiple systems aligned automatically -**Intelligent insights**: Combine relationship and operational intelligence +**Intelligent insights** combine relationship and operational intelligence -**Proactive alerts**: Catch issues before they impact revenue +**Proactive alerts** catch issues before they impact revenue ## Week 3 complete: Domain specialization achieved @@ -208,14 +208,14 @@ This pushes agents beyond automation to transformation. --- -**Time to complete**: ~20 minutes +**Time to complete** ~20 minutes -**Skills learned**: CRM intelligence, spreadsheet automation, unified customer +**Skills learned** CRM intelligence, spreadsheet automation, unified customer view, cross-system synchronization -**Week 3 complete**: You're now a domain-specific agent builder! +**Week 3 complete** you're now a domain-specific agent builder! - **Remember**: The best domain agents don't just use tools—they embody the + **Remember** the best domain agents don't just use tools—they embody the expertise and judgment of seasoned professionals in their field. diff --git a/styles/config/vocabularies/general/accept.txt b/styles/config/vocabularies/general/accept.txt index 4c92d7c8..4c15f40a 100644 --- a/styles/config/vocabularies/general/accept.txt +++ b/styles/config/vocabularies/general/accept.txt @@ -183,4 +183,7 @@ I'm GTM chatbots enablement -[lL]uma \ No newline at end of file +[lL]uma +CRM +CRMs +touchpoints \ No newline at end of file From 46b30630794dd596adea05bc3d2cf7c3f44f5265 Mon Sep 17 00:00:00 2001 From: danstarns Date: Tue, 15 Jul 2025 11:41:07 -0700 Subject: [PATCH 5/7] trunk fixes --- agents/30-days-of-agents/day-11.mdx | 20 ++++++++--------- agents/30-days-of-agents/day-13.mdx | 18 +++++++-------- agents/30-days-of-agents/day-14.mdx | 22 +++++++++---------- .../domain-specific-agents.mdx | 12 +++++----- styles/config/vocabularies/general/accept.txt | 10 ++++++++- 5 files changed, 45 insertions(+), 37 deletions(-) diff --git a/agents/30-days-of-agents/day-11.mdx b/agents/30-days-of-agents/day-11.mdx index 054ceb19..eb9d4123 100644 --- a/agents/30-days-of-agents/day-11.mdx +++ b/agents/30-days-of-agents/day-11.mdx @@ -49,7 +49,7 @@ Revenue agents must understand: - **Compliance needs**: Data privacy, financial reporting requirements - **Domain thinking**: Your agent should reason like a revenue operations + **Domain thinking** your agent should reason like a revenue operations manager, not just fetch Stripe data. @@ -148,7 +148,7 @@ Alert me only for critical issues needing immediate action. ``` - **TODO**: Advanced Stripe webhook integration and automated dunning workflows + **TODO** advanced Stripe webhook integration and automated dunning workflows will be covered in future advanced sessions. @@ -156,15 +156,15 @@ Alert me only for critical issues needing immediate action. In 20 minutes, you've built a domain-specific revenue operations agent: -**Financial intelligence**: Agent that understands revenue metrics and SaaS +**Financial intelligence** agent that understands revenue metrics and SaaS business models -**Stripe integration**: Connected payment and subscription data for real-time +**Stripe integration** connected payment and subscription data for real-time insights -**Automated workflows**: Revenue reporting and customer health monitoring +**Automated workflows** revenue reporting and customer health monitoring -**Domain expertise**: Agent that thinks like a revenue operations manager, not +**Domain expertise** agent that thinks like a revenue operations manager, not just a data fetcher ## The power of domain-specific agents @@ -197,14 +197,14 @@ This helps your agent develop predictive capabilities specific to your business. --- -**Time to complete**: ~20 minutes +**Time to complete** ~20 minutes -**Skills learned**: Domain-specific agent design, Stripe integration, revenue +**Skills learned** domain-specific agent design, Stripe integration, revenue intelligence, automated financial workflows -**Next**: Day 12 - Development & infrastructure agents with GitHub and Vercel +**Next** Day 12 - Development & infrastructure agents with GitHub and Vercel - **Remember**: The best financial agents don't just report numbers—they + **Remember** the best financial agents don't just report numbers—they understand what those numbers mean for your business and what actions to take. diff --git a/agents/30-days-of-agents/day-13.mdx b/agents/30-days-of-agents/day-13.mdx index ee4cf170..ed7a720a 100644 --- a/agents/30-days-of-agents/day-13.mdx +++ b/agents/30-days-of-agents/day-13.mdx @@ -44,7 +44,7 @@ Project agents need to understand: - **Team collaboration**: Different tools for different team members - **Multi-tool thinking**: Your agent should understand that Linear tracks work + **Multi-tool thinking**: your agent should understand that Linear tracks work while Notion captures knowledge—and keep both synchronized. @@ -65,7 +65,7 @@ The agent should: It should act like a technical project manager who ensures nothing falls through the cracks. ``` -## Step 3: Connect Linear and Notion +## Step 3 connect Linear and Notion Add both connections to your agent: @@ -146,14 +146,14 @@ Create a "Documentation Debt" report in Notion. In 20 minutes, you've built a cross-platform project management agent: -**Multi-tool coordination**: Agent that understands Linear for execution and +**Multi-tool coordination** agent that understands Linear for execution and Notion for knowledge -**Automated synchronization**: Keeps tasks and documentation aligned +**Automated synchronization** keeps tasks and documentation aligned -**Workflow intelligence**: Converts between different information formats +**Workflow intelligence** converts between different information formats -**Gap identification**: Finds where documentation doesn't match execution +**Gap identification** finds where documentation doesn't match execution ## The power of multi-tool agents @@ -188,12 +188,12 @@ This helps your agent develop insights about your team's work patterns. **Time to complete**: ~20 minutes -**Skills learned**: Multi-tool coordination, Linear integration, Notion +**Skills learned** multi-tool coordination, Linear integration, Notion automation, project intelligence -**Next**: Day 14 - Data & analytics agents with Neo4j and MongoDB +**Next** Day 14 - Data & analytics agents with Neo4j and MongoDB - **Remember**: The best project agents don't just move data between tools—they + **Remember** the best project agents don't just move data between tools—they understand how your team works and help improve processes. diff --git a/agents/30-days-of-agents/day-14.mdx b/agents/30-days-of-agents/day-14.mdx index db3918f4..84492438 100644 --- a/agents/30-days-of-agents/day-14.mdx +++ b/agents/30-days-of-agents/day-14.mdx @@ -35,22 +35,22 @@ structures. These agents understand complex data patterns, not just queries. Data intelligence agents must grasp: -### Graph intelligence (Neo4j) +### Graph intelligence Neo4j - **Relationship mapping**: How entities connect and influence each other - **Pattern detection**: Finding hidden connections in networks - **Path analysis**: Shortest paths, influence chains, impact radius - **Community detection**: Clusters, groups, and anomalies -### Document intelligence (MongoDB) +### Document intelligence MongoDB - **Schema flexibility**: Varying document structures and embedded data - **Aggregation patterns**: Complex queries across nested documents - **Time-series analysis**: Historical patterns and trends -- **Geospatial insights**: Location-based patterns and relationships +- **X insights**: Location-based patterns and relationships - **Beyond SQL thinking**: Modern data agents understand relationships and + **Beyond SQL thinking** modern data agents understand relationships and document structures, not just tables and rows. @@ -166,13 +166,13 @@ Focus on actionable insights, not just statistics. In 20 minutes, you've built sophisticated data intelligence agents: -**Graph understanding**: Agents that see relationships, not just data points +**Graph understanding** Agents that see relationships, not just data points -**Document flexibility**: Working with varied, nested, and complex structures +**Document flexibility** working with varied, nested, and complex structures -**Pattern recognition**: Finding insights in connected and unstructured data +**Pattern recognition** finding insights in connected and unstructured data -**Actionable intelligence**: Recommendations based on data patterns, not just +**Actionable intelligence** recommendations based on data patterns, not just queries ## The power of modern data agents @@ -208,12 +208,12 @@ This pushes agents beyond basic queries to true intelligence. **Time to complete**: ~20 minutes -**Skills learned**: Graph database intelligence, document database analytics, +**Skills learned** graph database intelligence, document database analytics, pattern recognition, modern data workflows -**Next**: Day 15 - CRM and spreadsheet intelligence with Attio and Google Sheets +**Next** Day 15 - CRM and spreadsheet intelligence with Attio and Google Sheets - **Remember**: The best data agents don't just run queries—they understand the + **Remember** the best data agents don't just run queries—they understand the meaning behind the data and find patterns humans might miss. diff --git a/agents/30-days-of-agents/domain-specific-agents.mdx b/agents/30-days-of-agents/domain-specific-agents.mdx index 07b2ba83..f9554701 100644 --- a/agents/30-days-of-agents/domain-specific-agents.mdx +++ b/agents/30-days-of-agents/domain-specific-agents.mdx @@ -53,7 +53,7 @@ Perfect for developers, DevOps teams, Platform engineers **Day 13 Linear & Notion Integration** Build agents that coordinate tasks, track progress, and maintain documentation across project tools. -_Perfect for project managers, engineering teams, product teams_ +Perfect for project managers, engineering teams, product teams @@ -65,15 +65,15 @@ _Perfect for project managers, engineering teams, product teams_ **Day 14 Neo4j & MongoDB Integration** Build agents that work with graph databases and document stores for complex data analysis and insights. -Perfect for data engineers, analytics teams, backend developers +Perfect for: data engineers, analytics teams, backend developers - - **Day 15 Attio CRM & Google Sheets Integration** + + **Day 15 Attio CRM & Google Sheets Integration** Develop agents that manage customer relationships and operational data for unified business intelligence. - *Perfect for: Sales Teams, Customer Success, Revenue Operations* +Perfect for: sales Teams, Customer Success, Revenue Operations - + diff --git a/styles/config/vocabularies/general/accept.txt b/styles/config/vocabularies/general/accept.txt index 4c15f40a..57a0ea7a 100644 --- a/styles/config/vocabularies/general/accept.txt +++ b/styles/config/vocabularies/general/accept.txt @@ -186,4 +186,12 @@ enablement [lL]uma CRM CRMs -touchpoints \ No newline at end of file +touchpoints +Neo4j +Geospatial +Linear +MRR +LTV +CAC +upsell +will \ No newline at end of file From 32f93a46194a5ed25c21e42d6ec3f42d72fb82ab Mon Sep 17 00:00:00 2001 From: danstarns Date: Wed, 16 Jul 2025 08:37:34 -0700 Subject: [PATCH 6/7] various updates --- agents/30-days-of-agents/day-11.mdx | 5 -- agents/30-days-of-agents/day-12.mdx | 64 +------------------ agents/30-days-of-agents/day-13.mdx | 17 ++++- agents/30-days-of-agents/day-15.mdx | 5 -- .../domain-specific-agents.mdx | 2 +- 5 files changed, 16 insertions(+), 77 deletions(-) diff --git a/agents/30-days-of-agents/day-11.mdx b/agents/30-days-of-agents/day-11.mdx index eb9d4123..91ff5cc0 100644 --- a/agents/30-days-of-agents/day-11.mdx +++ b/agents/30-days-of-agents/day-11.mdx @@ -147,11 +147,6 @@ Daily, check for: Alert me only for critical issues needing immediate action. ``` - - **TODO** advanced Stripe webhook integration and automated dunning workflows - will be covered in future advanced sessions. - - ## What you've accomplished In 20 minutes, you've built a domain-specific revenue operations agent: diff --git a/agents/30-days-of-agents/day-12.mdx b/agents/30-days-of-agents/day-12.mdx index 3db6379e..ccd7d164 100644 --- a/agents/30-days-of-agents/day-12.mdx +++ b/agents/30-days-of-agents/day-12.mdx @@ -275,69 +275,7 @@ All metrics look healthy. Promoting to 100% traffic... I'll continue monitoring and alert you if any issues arise. ``` -## Step 5: Implement production monitoring and rollback - -Your agent should be capable of handling production issues: - -**Configure monitoring and rollback:** - -```text -Monitor production health by: - -1. Tracking Key Metrics: - - Error rates (baseline vs current) - - Response times (P50, P95, P99) - - Core Web Vitals scores - - Active user sessions - -2. Automated Rollback Triggers: - - Error rate increases >5% from baseline - - Response time degradation >20% - - Multiple user reports of issues - - Critical service dependencies failing - -3. Rollback Process: - - Immediately revert to previous deployment - - Notify team via Slack - - Create incident report - - Begin root cause analysis -``` - -### Example monitoring and rollback - -```text -You: How's the authentication deployment performing in production? - -Agent: I'm monitoring the authentication deployment. Here's the current status: - -**Production Health Check (2 hours post-deployment):** - -📊 **Performance Metrics:** -- Error rate: 0.03% (↑ 0.01% from baseline) - Within normal range -- Login success rate: 98.7% (previously 97.2%) - Improved! ✅ -- Avg response time: 124ms (baseline: 118ms) - Acceptable -- Active sessions: 3,247 (normal for this time) - -⚠️ **Detected Issue:** -I've noticed an increase in "token refresh failed" errors in the last 15 minutes: -- Affected users: 47 (1.4% of active users) -- Error pattern: Timeout errors from auth service -- Started: 14:23 UTC - -**Investigating:** -- Checking Vercel function logs... Found timeout issues with the refresh endpoint -- Database connection pool may be exhausted -- This could escalate if not addressed - -**Recommended Action:** -This doesn't meet automatic rollback criteria yet, but I recommend: -1. Increase database connection pool size (quick fix) -2. Or rollback if errors increase beyond 2% - -Would you like me to apply the quick fix or initiate a rollback? -``` - -## Step 6: Create development best practices automation +## Step 5: Create development best practices automation Extend your agent to enforce and automate development best practices: diff --git a/agents/30-days-of-agents/day-13.mdx b/agents/30-days-of-agents/day-13.mdx index ed7a720a..2f65f1ed 100644 --- a/agents/30-days-of-agents/day-13.mdx +++ b/agents/30-days-of-agents/day-13.mdx @@ -118,10 +118,15 @@ The agent: ## Step 5: Build reusable coordination tasks + + **Coming soon** daily scheduled tasks and automated workflows. For now, you'll + need to interact with your agent through the UI to trigger these workflows. + + **Daily standup prep**: ```text -Each morning, prepare a standup summary that includes: +Can you prepare a standup summary that includes: - Yesterday's completed Linear issues - Today's priorities from Linear - Any blockers mentioned in Linear comments @@ -133,7 +138,7 @@ Post this in our Notion daily standups page. **Documentation health check**: ```text -Weekly, analyze: +Can you analyze: - Linear issues marked "Done" without linked documentation - Notion pages that reference outdated Linear issues - Technical decisions in Linear not captured in Notion @@ -142,6 +147,11 @@ Weekly, analyze: Create a "Documentation Debt" report in Notion. ``` + + **Pro tip** set a reminder to run these workflows daily or weekly until + automated scheduling becomes available. + + ## What you've accomplished In 20 minutes, you've built a cross-platform project management agent: @@ -149,7 +159,8 @@ In 20 minutes, you've built a cross-platform project management agent: **Multi-tool coordination** agent that understands Linear for execution and Notion for knowledge -**Automated synchronization** keeps tasks and documentation aligned +**Manual synchronization** keeps tasks and documentation aligned when you run +the workflows **Workflow intelligence** converts between different information formats diff --git a/agents/30-days-of-agents/day-15.mdx b/agents/30-days-of-agents/day-15.mdx index a1d33866..53671da9 100644 --- a/agents/30-days-of-agents/day-15.mdx +++ b/agents/30-days-of-agents/day-15.mdx @@ -153,11 +153,6 @@ Daily, monitor for: Keep both systems synchronized for accurate customer view. ``` - - **TODO** Advanced Attio workflow automation and custom object management can - be covered in future sessions. - - ## What you've accomplished In 20 minutes, you've built comprehensive customer intelligence: diff --git a/agents/30-days-of-agents/domain-specific-agents.mdx b/agents/30-days-of-agents/domain-specific-agents.mdx index f9554701..443ec32c 100644 --- a/agents/30-days-of-agents/domain-specific-agents.mdx +++ b/agents/30-days-of-agents/domain-specific-agents.mdx @@ -47,7 +47,7 @@ Perfect for developers, DevOps teams, Platform engineers **Day 13 Linear & Notion Integration** Build agents that coordinate tasks, From 290ba46e73a5c34221dc0ffd643e95cc48efa38c Mon Sep 17 00:00:00 2001 From: danstarns Date: Wed, 16 Jul 2025 08:40:42 -0700 Subject: [PATCH 7/7] remove notion of cron jobs in day 11 --- agents/30-days-of-agents/day-11.mdx | 17 ++++++++++++++--- 1 file changed, 14 insertions(+), 3 deletions(-) diff --git a/agents/30-days-of-agents/day-11.mdx b/agents/30-days-of-agents/day-11.mdx index 91ff5cc0..b73413e0 100644 --- a/agents/30-days-of-agents/day-11.mdx +++ b/agents/30-days-of-agents/day-11.mdx @@ -122,10 +122,15 @@ The agent analyzes: Build repeatable revenue tasks: + + **Coming soon** daily and weekly scheduled tasks. For now, you'll need to + interact with your agent through the UI to run these workflows. + + **Weekly revenue report**: ```text -Every Monday, analyze last week's revenue performance including: +Can you analyze last week's revenue performance including: - New vs lost MRR - Payment failure rate and recovery - Top customers by revenue @@ -138,7 +143,7 @@ Format as an executive summary with key metrics and action items. **Customer health monitoring**: ```text -Daily, check for: +Can you check for: - Failed payments needing attention - Customers with multiple failed attempts - Sudden usage drops indicating churn risk @@ -147,6 +152,11 @@ Daily, check for: Alert me only for critical issues needing immediate action. ``` + + **Pro tip** set calendar reminders to run your revenue report weekly and + health checks daily until automated scheduling is available. + + ## What you've accomplished In 20 minutes, you've built a domain-specific revenue operations agent: @@ -157,7 +167,8 @@ business models **Stripe integration** connected payment and subscription data for real-time insights -**Automated workflows** revenue reporting and customer health monitoring +**Manual workflows** revenue reporting and customer health monitoring that you +can run on-demand **Domain expertise** agent that thinks like a revenue operations manager, not just a data fetcher