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Path: Expert, safety & agents

Review an agent trace

Find the first unsupported or unsafe tool action, then propose a recoverable next step.

Starting level
Comfortable with the basics
Time
24 minutes
Public lesson guide
EN + हिंदी

You will learn to

Find the first unsupported agent action and propose a recoverable next step.

Why this matters

Agent evaluation checks the decision path, not just the final answer.

Three things to remember

  • Separate observation from action.
  • Check permission before consequential actions.
  • Stop at the first failure and define recovery.

See one example

Task

An agent compares sources, then books without confirmation.

Weak approach

Mark opening an unofficial source as the first failure.

Stronger approach

Mark booking without user approval as the first unsupported action; cancel or hold and ask for confirmation.

Why the stronger approach works

Reading a source is observation. Booking changes the world and requires authority.

Make something yourself

Review a five-step agent trace. Name the first unsupported action, impact, and safest recovery.

A useful starting pointCheck user authority, source support, and reversibility in that order.
Practise this lesson

Read further

The source is optional. The complete teaching and practice are available inside AI2Bharat.

Read the primary or official source: OpenAI Agent Evals