261 world-class specialists. 7 legendary teams. Zero mediocrity.
Stoodio Agents is a collection of AI-powered specialist teams that bring the expertise of industry legends to your product development workflow. Each team is structured like a professional agency with a lead orchestrator coordinating domain specialists.
Think of it as having access to Dieter Rams, Gary Halbert, Andrej Karpathy, Roger Martin, Marty Cagan, and 256 other legends on speed dial.
| Team | Lead | Specialists | What They Do |
|---|---|---|---|
| Strategy Team | strategy-lead | 17 agents | Intake, questioning, briefs, planning, orchestration |
| AI Team | ai-lead | 50 agents | Platform expertise, prompt engineering, RAG, agents, safety |
| Data Team | data-lead | 50 agents | Pipelines, data science, quality, visualization, prediction |
| Growth Team | growth-lead | 35 agents | Customer acquisition, copywriting, SEO, brand strategy |
| UX Team | ux-lead | 48 agents | Research, design philosophy, visual language, UI design |
| Dev Team | dev-lead | 42 agents | Architecture, coding principles, implementation, review |
| QA Team | qa-lead | 18 agents | Testing, quality assurance, accessibility, security |
17 specialists who turn vague ideas into actionable plans. The "big boss" layer.
The Strategy Team is where every project begins. They receive project descriptions, ask the hard questions, create briefs, decide which teams are needed, and orchestrate execution. This team includes the authors of "Playing to Win," "7 Powers," "Inspired," "Obviously Awesome," and other foundational strategy texts.
The operational core of strategic work.
| Agent | Role | Deployed For |
|---|---|---|
| the-questioner | Challenges assumptions, finds gaps | Surfacing risks, validating ideas |
| the-pragmatist | Reality checks on resources/timeline | Grounding ambitious plans |
| product-strategist | User needs, market fit | Product-market fit analysis |
| technical-strategist | Feasibility, architecture implications | Technical risk assessment |
| brief-writer | Crisp project briefs (Pyramid Principle) | Creating single source of truth |
The authors who defined modern strategy.
| Agent | Known For | Deployed For |
|---|---|---|
| roger-martin | Playing to Win, 5 strategic questions | Strategic choice, where-to-play |
| hamilton-helmer | 7 Powers, competitive moats | Sustainable advantage, barriers |
| michael-porter | 5 Forces, value chains | Competitive positioning |
| jim-collins | Good to Great, Level 5 Leadership | Organizational excellence |
| clayton-christensen | Disruption theory, Jobs to be Done | Innovation strategy, JTBD |
| barbara-minto | Pyramid Principle, structured thinking | Clear communication |
The experts who defined modern product work.
| Agent | Known For | Deployed For |
|---|---|---|
| marty-cagan | Inspired, Empowered, SVPG | Product discovery, empowered teams |
| april-dunford | Obviously Awesome, positioning | Product positioning, sales pitch |
| gibson-biddle | DHM framework, Netflix strategy | Delight + hard-to-copy + margin |
| teresa-torres | Continuous Discovery Habits | Opportunity solution trees |
| melissa-perri | Escaping the Build Trap | Outcome-focused product |
| claire-hughes-johnson | Scaling People, Stripe COO | Operations, organizational design |
"I have a product idea - help me think it through" → strategy-lead deploys: the-questioner, product-strategist, marty-cagan, april-dunford
"Plan a new initiative" → strategy-lead deploys: roger-martin, hamilton-helmer, the-pragmatist, brief-writer
"We're stuck on strategic direction" → strategy-lead deploys: michael-porter, jim-collins, clayton-christensen, the-questioner
"Prepare for a major product launch" → strategy-lead deploys: april-dunford, gibson-biddle, claire-hughes-johnson, brief-writer
"Full strategic review of a project" → strategy-lead deploys: the-questioner → [relevant strategists] → the-pragmatist → brief-writer
The Strategy Team is the entry point for all major projects:
- Intake - strategy-lead receives project description
- Questioning - the-questioner surfaces gaps and assumptions
- Strategic Analysis - relevant legendary strategists provide perspective
- Reality Check - the-pragmatist grounds everything
- Brief Creation - brief-writer produces the canonical brief
- Plan Presentation - strategy-lead presents plan for approval
- Handoff - approved brief goes to execution teams (AI, Data, Growth, UX, Dev, QA)
50 specialists who transform raw chaos into trusted, actionable intelligence.
The Data Team includes the creators of Hadoop, Airflow, dbt, and tidyverse, the pioneers of dimensional modeling and causal inference, and the engineers who built production data systems at scale. They know data pipelines, statistical analysis, and data quality inside out.
The visionaries who defined modern data science.
| Agent | Known For | Deployed For |
|---|---|---|
| dj-patil | First US Chief Data Scientist | Data product thinking, data culture |
| cassie-kozyrkov | Google Chief Decision Scientist | Decision intelligence, statistical thinking |
| hadley-wickham | Tidyverse creator, ggplot2 | Tidy data, data wrangling |
| andrew-gelman | Bayesian Data Analysis, Stan | Hierarchical models, Bayesian methods |
| rob-hyndman | forecast package, time series | Forecasting methodology |
| judea-pearl | Causal inference, DAGs | Causality, counterfactuals |
The builders of data infrastructure.
| Agent | Known For | Deployed For |
|---|---|---|
| maxime-beauchemin | Airflow, Superset creator | Pipeline orchestration, BI |
| tristan-handy | dbt Labs founder | Analytics engineering |
| doug-cutting | Hadoop creator | Distributed data processing |
| erik-bernhardsson | Luigi, Annoy, Spotify recs | ML pipelines, workflow systems |
| holden-karau | Spark expert, author | Distributed computing, performance |
The architects of data structure.
| Agent | Known For | Deployed For |
|---|---|---|
| ralph-kimball | Dimensional modeling, star schemas | Data warehouse design |
| bill-inmon | Data warehouse father | Enterprise data architecture |
| data-modeler | Schema design | Entity relationships |
| lakehouse-architect | Medallion architecture | Modern data platforms |
The masters of showing data.
| Agent | Known For | Deployed For |
|---|---|---|
| edward-tufte | Data-ink ratio, visual excellence | Visualization principles |
| stephen-few | Dashboard design | BI dashboards, information display |
| viz-developer | D3.js, Plotly, interactive viz | Custom visualizations |
| dashboard-designer | Tableau, Looker, Power BI | BI tool dashboards |
The guardians of data trust.
| Agent | Known For | Deployed For |
|---|---|---|
| barr-moses | Monte Carlo, data observability | Data reliability |
| data-quality-specialist | Validation, profiling | Quality rules, anomaly detection |
| data-governance-lead | Policies, compliance | Data catalog, governance |
| data-steward | Domain ownership | Documentation, stewardship |
The builders of data highways.
| Agent | Known For | Deployed For |
|---|---|---|
| pipeline-architect | End-to-end design | Pipeline architecture |
| etl-developer | Extract-Transform-Load | ETL implementation |
| data-integration-specialist | APIs, CDC, connectors | System integration |
| stream-processing-engineer | Kafka, Flink, real-time | Streaming pipelines |
The bridge between data and decisions.
| Agent | Known For | Deployed For |
|---|---|---|
| analytics-engineer | dbt models, testing | Analytics layer |
| dbt-developer | Macros, packages | dbt implementation |
| metrics-layer-specialist | Semantic layer | Metric definitions |
| semantic-layer-architect | Universal metrics | Enterprise metrics |
The rigorous thinkers.
| Agent | Known For | Deployed For |
|---|---|---|
| statistician | Hypothesis testing | Experimental analysis |
| bayesian-analyst | Probabilistic modeling | Uncertainty quantification |
| causal-inference-specialist | DAGs, counterfactuals | Causal analysis |
| experimental-design-expert | A/B testing, power analysis | Experiment design |
The seers of future data.
| Agent | Known For | Deployed For |
|---|---|---|
| forecasting-specialist | ARIMA, Prophet, ensembles | Production forecasting |
| time-series-analyst | Trend, seasonality | Time series exploration |
| predictive-modeler | ML models, feature engineering | Prediction models |
| demand-planner | Inventory, capacity | Business forecasting |
The signal extractors.
| Agent | Known For | Deployed For |
|---|---|---|
| feature-engineer | Feature creation, selection | Feature development |
| feature-store-architect | Feast, Tecton | Feature infrastructure |
| data-transformation-specialist | Normalization, encoding | Data prep |
The watchers of data health.
| Agent | Known For | Deployed For |
|---|---|---|
| data-observability-engineer | Monitoring, alerting | Pipeline health |
| data-reliability-engineer | SLOs, incident response | Data reliability |
| data-sla-manager | Contracts, reporting | SLA management |
The investigators and cleaners.
| Agent | Known For | Deployed For |
|---|---|---|
| data-forensics | Entity extraction, cross-document linking | Investigation |
| data-validator | Match validation, confidence scoring | Quality gates |
| data-cleaner | Standardization, deduplication | Data cleaning |
| data-mapper | Relationship visualization | Network analysis |
| data-wrangler | Format conversion, schema reconciliation | Data wrangling |
"Build a data warehouse" → data-lead deploys: ralph-kimball, data-modeler, lakehouse-architect, etl-developer
"Implement data quality monitoring" → data-lead deploys: barr-moses, data-observability-engineer, data-quality-specialist, data-reliability-engineer
"Create forecasting system" → data-lead deploys: rob-hyndman, forecasting-specialist, time-series-analyst, feature-engineer
"Investigate data for entity connections" → data-lead deploys: data-forensics, data-validator, data-cleaner, data-mapper
"Design analytics layer with dbt" → data-lead deploys: tristan-handy, analytics-engineer, dbt-developer, metrics-layer-specialist
50 specialists who built, trained, and deployed the AI systems everyone uses.
The AI Team includes Nobel Prize winners, the creators of GPT and AlphaFold, the inventors of RLHF and Constitutional AI, and the engineers who build production AI at scale. They know Claude, GPT, and Gemini inside out.
The legends who built modern AI.
| Agent | Known For | Deployed For |
|---|---|---|
| geoffrey-hinton | Godfather of Deep Learning, Nobel 2024 | Neural architecture, training fundamentals |
| yann-lecun | Meta Chief AI Scientist, CNNs, world models | Vision AI, self-supervised learning |
| andrej-karpathy | Tesla Autopilot, Zero to Hero, nanoGPT | Practical implementation, training |
| ilya-sutskever | GPT architect, AlexNet, SSI founder | Scaling laws, alignment research |
| demis-hassabis | DeepMind CEO, AlphaGo, AlphaFold, Nobel 2024 | Scientific AI, reinforcement learning |
| fei-fei-li | ImageNet creator, Human-Centered AI | Computer vision, AI ethics |
Anthropic experts for Claude-specific work.
| Agent | Known For | Deployed For |
|---|---|---|
| dario-amodei | Anthropic CEO, Constitutional AI | AI strategy, safety-first design |
| chris-olah | Mechanistic interpretability pioneer | Understanding model internals |
| amanda-askell | Claude character/personality design | Prompt design, persona creation |
| jan-leike | Alignment Science lead, superalignment | Safety mechanisms, RLHF strategy |
| claude-engineer | MCP, Claude Code, Anthropic API | Claude integration, tool use |
OpenAI experts for GPT/Codex work.
| Agent | Known For | Deployed For |
|---|---|---|
| lilian-weng | LLM agents blog, Safety Systems | Agent architecture, safety |
| john-schulman | PPO inventor, RLHF pioneer | Training optimization, reward models |
| gpt-engineer | OpenAI API, Assistants, function calling | GPT integration, API patterns |
| codex-specialist | Code generation, Copilot patterns | AI coding assistants |
Google DeepMind experts for Gemini work.
| Agent | Known For | Deployed For |
|---|---|---|
| jeff-dean | Google Chief Scientist, TensorFlow | Infrastructure at scale |
| gemini-engineer | Gemini API, model selection | Gemini integration, grounding |
| gemini-cli-expert | Terminal AI, agentic coding | Command-line AI tools |
| multimodal-specialist | Vision, audio, video AI | Image/video understanding |
Masters of prompt craft.
| Agent | Known For | Deployed For |
|---|---|---|
| elvis-saravia | DAIR.AI, Prompt Engineering Guide | Prompt frameworks, best practices |
| simon-willison | Datasette, coined "prompt injection" | Security, practical tooling |
| prompt-architect | System prompts, production patterns | Production prompt systems |
| chain-of-thought-specialist | Reasoning prompts, Tree of Thought | Complex reasoning tasks |
Multi-agent and workflow specialists.
| Agent | Known For | Deployed For |
|---|---|---|
| harrison-chase | LangChain founder, Deep Agents | Agent frameworks, orchestration |
| joao-moura | CrewAI founder, role-based agents | Multi-agent teams |
| agent-architect | Agent design patterns, state machines | Agent system design |
| tool-use-specialist | Function calling, MCP servers | Tool integration |
Retrieval-augmented generation experts.
| Agent | Known For | Deployed For |
|---|---|---|
| rag-architect | End-to-end RAG systems | RAG pipeline design |
| embedding-specialist | Vector search, similarity | Embedding optimization |
| chunking-strategist | Document processing | Chunk size, overlap |
| reranking-specialist | Result optimization | Search quality tuning |
Long context and memory system experts.
| Agent | Known For | Deployed For |
|---|---|---|
| charles-packer | MemGPT inventor, Letta | Memory architecture |
| context-engineer | Window optimization | Token efficiency |
| long-context-specialist | Million-token strategies | Long document processing |
| memory-architect | Persistent AI memory | Memory system design |
AI safety specialists.
| Agent | Known For | Deployed For |
|---|---|---|
| alignment-researcher | Constitutional AI, RLHF | Safety architecture |
| red-team-specialist | Jailbreak detection | Security testing |
| safety-evaluator | Guardrails, content filtering | Safety systems |
Training and adaptation experts.
| Agent | Known For | Deployed For |
|---|---|---|
| rlhf-specialist | Human feedback training | RLHF pipelines |
| lora-expert | LoRA, QLoRA, efficient tuning | Parameter-efficient training |
| dpo-specialist | Direct Preference Optimization | Simplified alignment |
Benchmarking and quality experts.
| Agent | Known For | Deployed For |
|---|---|---|
| wei-lin-chiang | LMSYS Chatbot Arena | Model comparison |
| benchmark-designer | Eval frameworks | Custom benchmarks |
| quality-analyst | Performance metrics | Quality monitoring |
Efficiency and cost experts.
| Agent | Known For | Deployed For |
|---|---|---|
| inference-optimizer | Latency, throughput | Production inference |
| token-economist | Cost analysis | Budget optimization |
| quantization-specialist | Model compression | Size reduction |
Teachers and community builders.
| Agent | Known For | Deployed For |
|---|---|---|
| sebastian-raschka | "Build LLM From Scratch" | Deep technical education |
| andrew-ng | DeepLearning.AI, Coursera | Curriculum design |
| clem-delangue | Hugging Face CEO | Open source strategy |
"Build a Claude-based product" → ai-lead deploys: claude-engineer, amanda-askell, prompt-architect, context-engineer, safety-evaluator
"Implement RAG for our documentation" → ai-lead deploys: rag-architect, chunking-strategist, embedding-specialist, reranking-specialist
"Design a multi-agent system" → ai-lead deploys: harrison-chase, joao-moura, agent-architect, tool-use-specialist, memory-architect
"Optimize our AI costs" → ai-lead deploys: token-economist, inference-optimizer, quantization-specialist, context-engineer
35 legends who built the playbooks everyone else studies.
The Growth Team includes the people who coined "growth hacking," wrote the copywriting books, built billion-dollar brands, and created the frameworks you learned from. They've collectively generated tens of billions in revenue.
The architects of viral loops and product-led growth.
| Agent | Known For | Deployed For |
|---|---|---|
| sean-ellis | Coined "growth hacking", Dropbox, LogMeIn | Activation, retention, experimentation |
| andrew-chen | Uber growth, a16z, The Cold Start Problem | Network effects, marketplace cold starts |
| brian-balfour | Reforge CEO, HubSpot VP Growth | Growth models, retention loops |
| hiten-shah | Crazy Egg, KISSmetrics, FYI | SaaS growth, customer research |
| lenny-rachitsky | #1 Substack, ex-Airbnb growth | Marketplace growth, PLG metrics |
| emily-kramer | Asana/Carta marketing, MKT1 | B2B marketing, go-to-market |
The masters of persuasion who generated billions through words.
| Agent | Known For | Deployed For |
|---|---|---|
| david-ogilvy | Father of Advertising, Ogilvy & Mather | Brand advertising, research-driven copy |
| gary-halbert | The Boron Letters, $109M coat of arms letter | Direct response, sales letters |
| eugene-schwartz | Breakthrough Advertising | Market awareness, headline mastery |
| claude-hopkins | Scientific Advertising | Measurable results, testing |
| joe-sugarman | BluBlocker, emotional triggers | Long-form copy, storytelling |
| dan-kennedy | No B.S. Marketing, GKIC | Direct marketing, high-ticket offers |
| gary-bencivenga | World's best living copywriter | A/B testing, control-beating copy |
The traffic architects who own page one.
| Agent | Known For | Deployed For |
|---|---|---|
| neil-patel | Ubersuggest, NP Digital, Crazy Egg | SEO strategy, content marketing |
| brian-dean | Backlinko, Skyscraper Technique | Link building, on-page SEO |
| rand-fishkin | Moz founder, SparkToro | Audience research, SEO strategy |
| peep-laja | CXL, Wynter | Conversion optimization, landing pages |
The philosophers who understand why ideas spread.
| Agent | Known For | Deployed For |
|---|---|---|
| seth-godin | Purple Cow, Permission Marketing, Tribes | Remarkable positioning, tribe building |
| kevin-kelly | 1000 True Fans, Wired founding editor | Creator economy, superfan strategy |
| al-ries | Positioning, 22 Immutable Laws | Category creation, positioning |
| jonah-berger | Contagious, STEPPS framework | Word-of-mouth, viral design |
| ryan-holiday | Growth Hacker Marketing, Trust Me I'm Lying | Guerrilla PR, media strategy |
The builders who scaled audiences and businesses in the creator era.
| Agent | Known For | Deployed For |
|---|---|---|
| noah-kagan | AppSumo founder, OkDork, $85M+ | Validation, launch strategies |
| shaan-puri | My First Million, Milk Road | Idea generation, newsletters |
| sam-parr | The Hustle (8-fig exit to HubSpot) | Newsletter growth, viral content |
| alex-hormozi | $100M Offers, $100M Leads, Acquisition.com | Offers, lead generation |
| sahil-bloom | 1.5M+ newsletter, creator economy | Twitter/X growth, personal brand |
| james-clear | Atomic Habits, 2M+ newsletter | Behavior change, newsletter strategy |
The executives who transformed global brands.
| Agent | Known For | Deployed For |
|---|---|---|
| bozoma-saint-john | Apple/Uber/Netflix CMO, Hall of Fame | Bold brand moves, culture marketing |
| ann-lewnes | Adobe CMO | Enterprise marketing, digital transformation |
| hiroki-asai | Airbnb Global Marketing, ex-Apple | Brand campaigns, creative direction |
| leslie-berland | Twitter/Peloton CMO | Brand repositioning, social-first |
| linda-boff | GE CMO | B2B brand, content marketing |
| marc-mentry | Capital One "What's in Your Wallet" | Brand campaigns, taglines |
| antonio-lucio | HP/Facebook/PepsiCo CMO | Global brand, diversity marketing |
"Launch my SaaS product" → growth-lead deploys: sean-ellis, noah-kagan, alex-hormozi, brian-balfour
"Write sales copy for this landing page" → growth-lead deploys: gary-halbert, eugene-schwartz, joe-sugarman, peep-laja
"Build SEO content strategy" → growth-lead deploys: brian-dean, neil-patel, rand-fishkin, sam-parr
"Position my brand in a crowded market" → growth-lead deploys: al-ries, seth-godin, david-ogilvy, kevin-kelly
48 legendary designers and researchers. The world's greatest design agency.
From Don Norman (who invented the term "UX") to Dieter Rams (whose 10 principles shaped Apple's entire aesthetic), this team includes the actual people whose books, principles, and work define modern design.
They define problems and validate solutions.
| Agent | Expertise | Deployed For |
|---|---|---|
| don-norman | Human-centered design, affordances | Any project - foundational |
| jakob-nielsen | Usability heuristics, evaluation | Usability audits |
| erika-hall | Efficient research, right questions | Lean projects |
| jared-spool | Strategic research, org alignment | Enterprise, stakeholders |
| indi-young | Mental models, deep understanding | Complex behaviors |
| steve-portigal | User interviews, story extraction | Qualitative research |
| steve-krug | Usability testing, simplification | "Don't make me think" |
| alan-cooper | Personas, goal-directed design | User definition |
| kim-goodwin | Scenarios, requirements | Requirements gathering |
| whitney-quesenbery | Storytelling, accessibility | Inclusive design |
| leah-buley | Lean methods, constraints | Small teams |
| jan-chipchase | Field research, global contexts | International |
| cyd-harrell | Civic design, public sector | Government |
| susan-weinschenk | Behavioral science | Psychology-informed design |
| gregg-bernstein | Research operations | Scaling research |
They design physical things and product philosophy.
| Agent | Expertise | Deployed For |
|---|---|---|
| dieter-rams | Less but better, functionalism | Minimalism, essentials |
| james-dyson | Engineering, relentless iteration | Innovation, problem-solving |
| charles-ray-eames | Constraint-driven, joy | Constraints as features |
| jony-ive | Obsessive refinement, Apple | Premium, polish |
| naoto-fukasawa | Intuitive, invisible design | "Without thought" |
| philippe-starck | Democratic, playful | Accessible luxury |
| marc-newson | Organic futurism | Future-forward aesthetics |
| karim-rashid | Sensual minimalism | Bold form, color |
| patricia-urquiola | Texture, craft | Material-focused |
| yves-behar | Purpose, sustainability | Impact-driven |
They create visual identity and brand systems.
| Agent | Expertise | Deployed For |
|---|---|---|
| paul-rand | Timeless logos, visual wit | Logo design, brand marks |
| paula-scher | Large-scale typography | Environmental, bold type |
| saul-bass | Symbolic power, motion | Logos, motion graphics |
| aaron-draplin | Bold simplicity, Americana | Honest, workwear-inspired |
| massimo-vignelli | Systematic grids | Design systems, structure |
| stefan-sagmeister | Provocative, emotional | Experimental, boundary-pushing |
| milton-glaser | Conceptual, iconic | Cultural impact, posters |
| jessica-walsh | Bold color, emotion | Attention-demanding |
| michael-bierut | Strategic identity | Corporate identity |
| herb-lubalin | Typography as art | Expressive type, wordmarks |
| neville-brody | Rule-breaking, punk | Anti-establishment |
They shape digital experiences.
| Agent | Expertise | Deployed For |
|---|---|---|
| dann-petty | Bold digital, landing pages | Marketing sites, portfolios |
| marc-hemeon | Product strategy at scale | Product design, teams |
| tobias-van-schneider | Premium, immersive | High-end experiences |
| rauno-freiberg | Motion, performance | Animations, interactions |
| pablo-stanley | Illustration systems | Illustrated interfaces |
| julie-zhuo | Product at scale | Large product teams |
| brian-lovin | Systems thinking | Design systems, dev tools |
| claudio-guglieri | Enterprise with soul | Enterprise that's not boring |
| mike-creative-mints | Visual craft | High-fidelity polish |
| david-kelley | Design thinking | Innovation, process |
They set culture and direction.
| Agent | Expertise | Deployed For |
|---|---|---|
| tina-roth-eisenberg | Joy-driven, community | Final check: does it spark joy? |
"Design a new mobile app" → ux-lead deploys: don-norman, jony-ive, naoto-fukasawa, rauno-freiberg, steve-krug
"Create brand identity for a startup" → ux-lead deploys: paul-rand, massimo-vignelli, paula-scher, michael-bierut
"Redesign our enterprise dashboard" → ux-lead deploys: julie-zhuo, claudio-guglieri, brian-lovin, jakob-nielsen
42 legendary developers who built the tools we all use.
This isn't a list of consultants. These are the actual creators of Linux, Git, Python, JavaScript, React, Node.js, Go, Rust, and more. The people who wrote the books on clean code, refactoring, and distributed systems.
The architects of the tools themselves.
| Agent | Created | Deployed For |
|---|---|---|
| linus-torvalds | Linux, Git | Systems programming, kernel-level |
| dennis-ritchie | C, Unix | Low-level, language foundations |
| ken-thompson | Unix, B, Go, UTF-8 | OS design, concurrency |
| bjarne-stroustrup | C++ | Performance-critical systems |
| rob-pike | Go, Plan 9, UTF-8 | Simplicity, concurrent services |
| anders-hejlsberg | TypeScript, C#, Delphi | Type systems, developer tools |
| chris-lattner | Swift, LLVM, Clang, Mojo | Apple platforms, compilers, AI |
| guido-van-rossum | Python | Readable code, scripting, data |
| yukihiro-matsumoto | Ruby | Programmer happiness, elegance |
| brendan-eich | JavaScript | Web platform, dynamic languages |
| graydon-hoare | Rust | Memory safety, systems |
The builders of ecosystems.
| Agent | Created | Deployed For |
|---|---|---|
| dhh | Ruby on Rails | Full-stack, convention over config |
| jordan-walke | React | Component architecture, UI |
| evan-you | Vue.js, Vite | Progressive frameworks, build tools |
| rich-harris | Svelte | Compiler-as-framework |
| guillermo-rauch | Next.js, Socket.io, Vercel | Full-stack JS, deployment |
| ryan-dahl | Node.js, Deno | JavaScript runtimes, async I/O |
| tj-holowaychuk | Express, Koa, Mocha | Node.js ecosystem, APIs |
| taylor-otwell | Laravel | Elegant PHP |
| matt-mullenweg | WordPress | CMS, open source |
The authors of how we build software.
| Agent | Known For | Deployed For |
|---|---|---|
| martin-kleppmann | DDIA | Data architecture, distributed systems |
| martin-fowler | Refactoring, PEAA | Patterns, enterprise architecture |
| robert-martin | SOLID, Clean Code | Clean code, craftsmanship |
| kent-beck | XP, TDD, JUnit | Test-driven development |
| sandi-metz | POODR | Object-oriented design |
The architects of React's evolution.
| Agent | Known For | Deployed For |
|---|---|---|
| dan-abramov | Redux | State management, React internals |
| sebastian-markbage | Hooks, Concurrent Mode | React architecture, TC39 |
The builders of the platform.
| Agent | Known For | Deployed For |
|---|---|---|
| werner-vogels | AWS Architecture | Cloud design, distributed systems |
| urs-holzle | Google Cloud | Infrastructure, data centers |
| kelsey-hightower | Kubernetes advocacy | Container orchestration |
The minds behind AI.
| Agent | Known For | Deployed For |
|---|---|---|
| jeff-dean | MapReduce, TensorFlow, Transformers | ML infrastructure, scale |
| demis-hassabis | AlphaGo, AlphaFold, Gemini | Scientific AI, DeepMind |
| ilya-sutskever | AlexNet, GPT | Deep learning, OpenAI |
| andrej-karpathy | Tesla Autopilot | Computer vision, AI education |
| chris-olah | Mechanistic Interpretability | Understanding neural networks |
| dario-amodei | Constitutional AI, Claude | AI safety, Anthropic |
The pioneers of real-time rendering.
| Agent | Known For | Deployed For |
|---|---|---|
| john-carmack | id Tech, Doom, Quake | 3D graphics, game engines |
| tim-sweeney | Unreal Engine | Game engines, real-time |
The masters of motion.
| Agent | Known For | Deployed For |
|---|---|---|
| matt-perry | Framer Motion, Motion | React animation, spring physics |
| jack-doyle | GSAP | Timeline animation, ScrollTrigger |
The optimizers.
| Agent | Known For | Deployed For |
|---|---|---|
| addy-osmani | DevTools, Lighthouse | Web performance |
| jesse-james-garrett | Ajax, Elements of UX | Async interfaces |
"Build a React application" → dev-lead deploys: jordan-walke, dan-abramov, guillermo-rauch, matt-perry, robert-martin
"Design a distributed system" → dev-lead deploys: martin-kleppmann, werner-vogels, kelsey-hightower, linus-torvalds
"Build an AI/ML pipeline" → dev-lead deploys: jeff-dean, andrej-karpathy, chris-olah, guido-van-rossum
18 specialized QA agents. Professional testing as a service.
The QA Team brings enterprise-grade testing methodology across platforms, infrastructure, quality dimensions, and specialized domains. They don't just find bugs - they ensure quality.
qa-lead (orchestrator)
├── Platform Specialists
│ ├── qa-web (React, Vue, Angular, PWA, cross-browser)
│ ├── qa-ios (XCUITest, SwiftUI, Universal Links)
│ ├── qa-tvos (Focus Engine, Siri Remote, 10-foot UI)
│ ├── qa-watchos (Complications, WatchKit, HealthKit)
│ ├── qa-android (Espresso, Compose, App Links)
│ └── qa-flutter (Widget tests, golden testing)
│
├── Infrastructure Specialists
│ ├── qa-api (REST, GraphQL, gRPC, contract testing)
│ └── qa-backend (Kafka, RabbitMQ, databases, caching)
│
├── Quality Dimension Specialists
│ ├── qa-security (OWASP Top 10, auth, injection)
│ ├── qa-performance (k6, chaos engineering, Core Web Vitals)
│ └── qa-accessibility (WCAG, screen readers, keyboard nav)
│
├── Methodology Specialists
│ ├── qa-exploratory (Session-based testing, heuristics)
│ └── qa-automation (Framework design, CI/CD, POM)
│
└── Domain Specialists
├── qa-payments (Stripe, Square, PCI compliance)
├── qa-media (HLS, DASH, DRM, adaptive bitrate)
└── qa-i18n (Localization, RTL, Unicode)
"Test my iOS payment app" → qa-lead deploys: qa-ios, qa-payments, qa-security, qa-accessibility
"Full web application testing" → qa-lead deploys: qa-web, qa-api, qa-performance, qa-automation
"Streaming media testing" → qa-lead deploys: qa-media, qa-web, qa-performance, qa-accessibility
For full product builds, teams work sequentially:
Strategy Team → AI Team → Data Team → Growth Team → UX Team → Dev Team → QA Team
│ │ │ │ │ │ │
│ │ │ │ │ │ └── Test everything
│ │ │ │ │ └── Build to UX spec
│ │ │ │ └── Research, design, create UX Plan
│ │ │ └── Define positioning, channels, messaging
│ │ └── Design data pipelines, analytics, ML features
│ └── Design AI architecture, prompts, integration
└── Intake, question, brief, plan, orchestrate
Each team lead:
- Assesses the project and selects the right specialists
- Spawns agents sequentially, passing context forward
- Compresses phase outputs before the next phase
- Compiles the final deliverable
| Command | What Happens |
|---|---|
| "Deploy strategy team for [task]" | strategy-lead questions, plans, and creates brief |
| "Deploy AI team for [task]" | ai-lead selects and coordinates AI specialists |
| "Deploy data team for [task]" | data-lead selects and coordinates data specialists |
| "Deploy growth team for [task]" | growth-lead selects and coordinates growth specialists |
| "Deploy UX team for [task]" | ux-lead selects and coordinates design specialists |
| "Deploy dev team for [task]" | dev-lead selects and coordinates development specialists |
| "Deploy QA team for [task]" | qa-lead selects and coordinates testing specialists |
| "Deploy [specific agent]" | Direct deployment of individual specialist |
Input: "Build a Claude-powered document Q&A system"
- Strategy Team → Question assumptions, strategic analysis, create brief
- AI Team → RAG architecture, prompt design, context strategy
- Data Team → Data pipeline, embedding storage, quality monitoring
- Growth Team → Positioning, acquisition strategy, pricing
- UX Team → Research, design principles, visual language, UI specs
- Dev Team → Architecture, implementation, code review
- QA Team → Testing across platforms, performance, accessibility
These aren't random experts. They're the actual people who:
- Won Nobel Prizes for neural networks and protein folding
- Coined the terms we use (growth hacking, UX, positioning, prompt injection)
- Wrote the books we study (Playing to Win, 7 Powers, Inspired, DDIA, Clean Code)
- Built the tools we use daily (Linux, Git, React, Python, LangChain, Airflow, dbt)
- Created the frameworks we follow (5 Forces, DHM, SOLID, 10 Principles, Constitutional AI)
When you deploy andrej-karpathy, you get neural network expertise from the person who built Tesla Autopilot. When you deploy roger-martin, you get strategic thinking from the #1 ranked management thinker. When you deploy marty-cagan, you get product strategy from the most influential person in the product space.
Each team has explicit quality criteria:
Strategy Team: Clear problem definition, validated assumptions, actionable brief, realistic plan AI Team: Production-ready AI systems with safety, cost optimization, and reliability Data Team: Trusted pipelines, accurate models, clean data, reliable observability Growth Team: Clear positioning, measurable channels, offers that convert UX Team: Awwwards-worthy (40% design, 30% usability, 20% creativity, 10% content) Dev Team: Clean, tested, documented, production-ready code QA Team: Comprehensive test coverage, zero critical issues, performance verified
- Pick a team based on your needs
- Describe your project to the team lead
- The lead selects specialists based on project type
- Specialists are deployed sequentially, each building on the last
- Final deliverable is compiled by the lead
MIT
261 specialists. 7 teams. Built for people who refuse to ship mediocre work.