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Agentic AI Startup RoadMap

Agentic AI Roadmap
Figure 1: Visual representation of the Agentic AI Startup Roadmap.

This document outlines the roadmap for building an Agentic AI startup, divided into assignments and team responsibilities.

Assignment Level 1 (CrewAI Development Lifecycle)

  1. Anthropic Design Patterns
  2. CrewAI Flows Implementation
    • Design pattern and LiteLLM integration.
  3. Crews, Agents, and Tasks in CrewAI
  4. Knowledge and RAG in CrewAI
  5. Function Calling in CrewAI
  6. Memory in CrewAI
  7. MCP (Model Context Protocol) In-Depth
  8. MCP Integration in CrewAI
    • Integration with crews, agents, and tasks.
  9. MCP Integration with LiteLLM
  10. Stripe Agentic Payments
  11. Research Payment Alternatives
  12. CrewAI Default Deployment
  13. CrewAI Deployment with Cloud Native
    • Docker, Kubernetes.
  14. CrewAI Deployment with Serverless Containers
    • Docker, Azure Container Apps.
  15. Next.js UI Integration with CrewAI
  16. CrewAI Inter-Agent Communication
    • Deployed separately.
  17. Observability with AgentOps
  18. Testing with Pytest
    • Unit tests and integration tests
    • Test coverage and reporting
  19. CrewAI Automated Coding
    • Using Cursor and GitHub Copilot.

Assignment Level 2 (LangGraph Development Lifecycle)

  1. LangGraph Functional API
  2. LangGraph Design Pattern Implementation
    • With LangChain.
  3. Task and Entrypoint
  4. Knowledge and RAG in LangGraph
  5. Function Calling in LangGraph
  6. Memory in LangGraph
  7. MCP Integration in LangGraph
  8. Stripe Agentic Payments with LangGraph
  9. LangGraph Default Deployment (LangServer)
  10. LangGraph Deployment with Cloud Native
    • Docker, Kubernetes.
  11. LangGraph Deployment with Serverless Containers
    • Docker, Azure Container Apps.
  12. Next.js UI Integration with LangGraph
  13. LangGraph Inter-Agent Communication
    • Deployed separately.
  14. Observability with LangSmith
  15. Testing with Pytest
    • Unit and integration testing along with test coverage and reporting with pytest
  16. LangGraph and CrewAI Inter-Agent Communication
    • Deployed separately.
  17. Research on Inter-Agent Communication Protocols

Assignment Level 3 (Enterprise-Scale Autogen Orchestration)

  1. Autogen > 0.4
  2. MCP with Autogen
  3. Stripe with Autogen
  4. Deployment with Serverless Containers (Azure)
  5. Testing with Pytest
    • Unit and integration testing along with test coverage and reporting with pytest
  6. Inter-Agent Communication with All Other Agents

Assignment Level 4 (Agentia World Production Platform)

  1. Select and Build Vertical Agents
    • Compatible with inter-agent communication protocols.
  2. Select and Build MCP Servers
  3. Stripe Payment Integration
  4. Testing with Pytest
    • Unit and integration testing along with test coverage and reporting with pytest
  5. Observability Implementation

Assignment Level 5 (Become a Venture Innovator and Leader)

  1. Identify Market Gap
    • Research and propose a startup idea to become a Co-Founder.

Team Responsibilities

Level 1 Teams

  • CrewAI Design Pattern Team: Steps 2 to 6.
  • MCP Team: Steps 7 to 9.
  • Payment Team: Steps 10, 11.
  • Deployment Team: Steps 12 to 14.
  • Observability Team: Step 17.
  • Inter-Agent Communication Team: Step 16.

This roadmap provides a structured approach to building an Agentic AI startup, ensuring clarity and focus for all teams involved.