Practical AI guides
Agent persistence & workflows
Understand how agent frameworks manage state, recover interrupted work, and coordinate tool calls.
Where to start
Start with the lifecycle of one task: what state survives a failure, what gets replayed, and where approval or cancellation belongs. A graph abstraction is useful only if those boundaries are clear.
- What state is persisted, and when?
- Can a retry repeat an external side effect?
- Does the workflow need a framework or a simpler control loop?
Practical guides
Why RAG Gives Wrong Answers With Relevant Documents
Why RAG gives wrong answers: Trace evidence through retrieval, context assembly and generation. Target the boundary losing the required facts.
Explore the guideAgent Memory vs Checkpoints: What Should You Persist?
Agent memory vs checkpoints: Separate knowledge, execution progress and scheduling. Use a refund scenario to plan recovery and protect external actions.
Explore the guideExplore the reports
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LangGraph Persistent State: When Agents Need Checkpoints
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