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What failures should agent evals include?

Short answer from Learnetto's Best AI agent evaluation courses guide.

Short answer

Include wrong tool choice, bad retrieval, stale data, unsafe actions, loops, missing clarification, and cases where the agent should stop. These are the failures that polished demos usually hide.

Context from the full guide

Start with Evaluating AI Agents for a beginner-friendly 2-hour-36-minute course with Python exercises. Add an official provider lab or LangSmith course when you need a specific implementation, then build a code-owned suite with calibrated graders, CI checks, and production traces.

Read Best AI agent evaluation courses

Useful resources

  1. Evaluating AI Agents

    Short course · DeepLearning.AI · Intermediate

    You need to test, trace, and improve agent workflows instead of judging only single LLM responses.

  2. OpenAI Evaluate agent workflows

    Guide · OpenAI · Intermediate

    You need the current OpenAI path for tracing, grading, and regression-testing agent workflows instead of only single-prompt evals.

  3. LLM Evals

    Guide · Hamel Husain · Intermediate

    Your AI app needs quality checks before users see it.

  4. AWS Emulator autonomous agent build guide

    AI agent engineering analysis · AWS · Intermediate to advanced

    Understand how AWS used autonomous agents to build and maintain AWS Emulator, test the local tool safely and adapt its specification-and-gate workflow to your own coding agents.

  5. Lazarus AI agent backdoor defense guide

    AI agent security analysis · Microsoft Research · Intermediate to advanced

    Understand Microsoft's Lazarus model-backdoor research, assess open-weight agent risk and add provenance, isolation and monitoring controls before deployment.

  6. Claude Fable 5.2 and Mythos 5.2 launch guide

    Frontier model news analysis · Anthropic · Intermediate to advanced

    Use this analysis to decide whether Claude Fable 5.2 belongs in a demanding agent workflow, plan migration tests and understand why Mythos access remains restricted.

  7. Uber production AI agent security guide

    AI agent security guide · Uber · Intermediate

    Use this guide to turn a production agent's purpose, tools and risk level into enforceable checks before it can take sensitive actions.

  8. Claude Code local-settings secret leak response guide

    AI coding-agent security analysis · Apiiro · Intermediate

    Use this guide to find credentials recorded in Claude Code settings, rotate exposed secrets and prevent local approvals from entering Git history.

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