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Comparisons
How the pieces fit

How corrections compare with observability, evals and the other ways teams handle recurring AI agent mistakes.

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AI agent observability vs evals vs corrections

Observability shows what an agent did, evals test a change, and corrections change what it gets in one situation. How they fit with Langfuse, LangSmith and Braintrust.

Which mistake can’t your agent afford to repeat?
Tell us what you’re building.

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