AI AgentsOnline
Chess Coach AI
True multi-agent, not a scripted pipeline
The distinction I cared about here: the model has real decision authority. This isn't Python calling an LLM in a fixed order — it's a LangGraph ReAct loop where each agent reasons about what to do next.
The Critic is the piece I'm most attached to. Generated advice is frequently plausible and shallow, so a dedicated agent validates every claim and sends weak explanations back for revision before a human ever sees them.
What it does
- Three specialized agents: Analyst (PGN patterns), Coach (personalized lessons), Critic (rejects weak advice)
- Agents decide what to do next at each step — ReAct, not a fixed pipeline
- Links a real chess.com account; pick how many games back and which time controls
- Weights mistakes differently for fast time controls, where rushing is expected
- Persistent session memory means you never re-authenticate