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  • Home
  • About
  • Blog
    • The Pragmatic Programmer Series
    • E-Learning Standards
      • AICC
      • SCORM 1.2
      • SCORM 2004
      • xAPI
    • AI Agent Engineering for Developers
      • The Agent Loop

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Futuristic AI robot in a neon-lit environment organizing and evaluating glowing data cubes, surrounded by holographic panels showing datasets, evaluation steps, comparison metrics, and performance charts, representing the structured process of building and validating an evaluation set for a tool-using agent.

How to Build a Useful Eval Set for a Tool-Using Agent

AI Agent Engineering for Developers, The Agent LoopBy Sami17.06.2026Leave a comment

Learn how to design an eval set for a tool-using agent using trace-level evaluation, dataset splits, layered scoring, and realistic failure cases that catch regressions before production.

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A robot surrounded by icons of stop and different paths

Retries, Backoff, and Recovery Paths for Tool-Using Agents

AI Agent Engineering for Developers, The Agent LoopBy Sami27.05.2026Leave a comment

Reliable agents are not the ones that never fail. They are the ones that fail into the right path. Here is how to classify tool failures into retry, replan, user input, or hard stop, and why retry policy belongs at the tool boundary.

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