Build a Self-Optimizing Fitness Agent with LangGraph and Notion

Short summary

A LangGraph tutorial for building a self-optimizing fitness agent that reads Heart Rate Variability, analyzes recovery with an LLM, and automatically adjusts your Notion workout schedule. Demonstrates state-machine agentic reasoning with runnable Python code and explores patterns for multi-step AI decision-making beyond simple scripting.

• •LangGraph state-machine architecture for fitness automation
• •Closed-loop system: HRV data → LLM analysis → Notion updates
• •Runnable code example with LangChain + OpenAI integration

Generated with AI, which can make mistakes.