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  1. 1Tool use
  2. 2Agent loops
  3. 3Memory and context
  4. 4Safety and evaluation
← Agentic AI

Lesson 4 of 4

Safety and evaluation

Watch, read the card, then practise. Guardrails · Evaluating agents

Video coming soon

The video for this lesson is being recorded.

Meanwhile, the notes below and the 60-second cards cover the same ideas.

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  • Guardrails

    Guardrails limit what an agent can do, so mistakes and attacks can't cause real damage.

    Remember: The more an action can't be undone, the more checks it needs.

  • Evaluating agents

    Evaluate agents on whole tasks: did they succeed, how many steps, what did it cost, and was anything unsafe?

    Remember: Same success rate can hide very different costs and risks.

Try the example in Code Lab

allowed = {"search", "read_file"}
requested = ["search", "delete_file", "read_file"]
print([t for t in requested if t in allowed])
← Memory and context

In this lesson

  • Guardrails
  • Evaluating agents

Practise this topic

5 questions at your level. The best way to make it stick.

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