AI & agents / THE PRACTICAL CHECKLIST
AI agent reviews
Assess the actions an agent can take, the permissions it needs, and how it behaves when a task cannot finish.
What to look for
Name the allowed actions before evaluating autonomy. Reading a record, drafting a reply, publishing a message, and modifying another system are separate capabilities. A useful trial makes those boundaries explicit.
Make the review useful
Use safe test cases to examine approval, stopping, recovery, and duplicate-action prevention. Check the final state as well as the agent’s completion message. Keep a record of what happened so a person can inspect the outcome.
Keep the limits in view
A successful demonstration does not establish safe behavior across all tasks. Compare the agent with a simpler workflow and choose only the flexibility the job needs. Do not grant broad access just to make a trial look impressive.
What should an agent review test beyond success?
A missing input, an unavailable dependency, a denied action, and a clear stop or recovery path. These checks reveal whether the workflow remains understandable when normal interruptions occur.
AI agent reviews and review bots: know the difference
Assess real automation capabilities without confusing feedback analysis with fabricated customer experiences.
Read the 6-minute guide ↗KEEP EXPLORING
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Evaluate an AI tool on a defined task with checkable output. Separate writing fluency from correctness and workflow fit.
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Compare language models with a controlled task set, clear success criteria, and a record of the configuration being evaluated.
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Evaluate the ChatGPT experience you actually use: a defined task, a documented configuration, and results checked against the source.