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Why My Agent Refused 96 Times Before Getting It Right: Lessons from Building Reliable AI Agents in Production

Originally published on tamiz.pro . After the 96th failed deployment, I stopped asking the LLM to be more careful and started asking it to be honest about what it didn't know.

  • 96 failed deployments taught key lessons about building reliable AI agents
  • Introduced explicit uncertainty gate to eliminate 60% of production incidents
  • Tool calling should have fallback chains to prevent infinite loops

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