AI AgentsIntermediate

AI Agent MVP

Build your first autonomous AI agent with proper orchestration and memory

2-4 weeks
1-3 people
6 tools
Key Tools
LangGraphCrewAIOpenAI APIPineconeLangfuseInstructor
Implementation Steps
  1. 1

    Design agent workflow and decision points with LangGraph

  2. 2

    Implement structured outputs with Instructor for reliable parsing

  3. 3

    Add long-term memory using Pinecone vector storage

  4. 4

    Set up Langfuse for tracing and debugging agent behavior

  5. 5

    Test with edge cases and implement proper error handling

  6. 6

    Add human-in-the-loop checkpoints for critical decisions

Expected Outcomes
  • Working autonomous agent with memory
  • Observable and debuggable agent behavior
  • Structured, predictable outputs
  • Foundation for multi-agent systems
Pro Tips
  • Start simple - single agent before multi-agent
  • Log everything - agent debugging is hard
  • Add guardrails early
  • Test with adversarial inputs
All PlaybooksExplore Tools