Break tasks into smaller, checkable steps
Decomposing a large task into small steps with checkpoints makes each step reliable, localizes failures, and lets the agent recover without redoing everything.
Small steps fail small
A single giant prompt that tries to do everything is hard to make reliable and impossible to debug. Breaking the work into discrete steps means each one can be validated, retried, and reasoned about on its own. When something fails, you know which step and why.
Plan, then execute
Many reliable agent designs separate planning from doing: the agent lays out the steps, then works through them, checking state between each. Patterns and frameworks for this are covered well in Building effective agents and orchestration tools like LangGraph.
Checkpoint between steps
Save progress at each step so a failure late in a task does not throw away the work done early. Checkpoints are what make partial failure recoverable rather than catastrophic.
Key takeaways
- Split large tasks into small steps you can validate independently.
- Separate planning from execution and check state between steps.
- Checkpoint progress so a late failure does not discard early work.
Further reading
- Building effective agents AnthropicAnthropic's guide to how effective agents are structured and where they commonly break down.
- LangGraph LangChainA framework for building agents as explicit, checkpointed step graphs you can inspect and resume.