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Building a Self-Correcting AI Agent with Reflection Loops in Python

Language models produce wrong answers. Not occasionally — regularly. When you deploy an LLM to automate tasks, you need a way to catch and fix those errors without human intervention.

  • Reflection loop automates tasks in language models
  • Two-step cycle: generate and critique
  • Critique step uses second LLM call or deterministic check

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