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Find out if your agent got better.

Change the instructions, model or tools. Test the proposed agent against the installed version on the same tasks, then compare useful results and model costs.

Would you keep this change?

Illustrative incident summary. Results and model costs below are invented.

Installed version and proposed change on the same example
What you asked forInstalledProposed
Name the affected servicePresentPresent
Cite the supporting logsMissingPresent
Suggest a next stepPresentPresent
Installed model cost
$0.02
Proposed model cost
$0.03

Evidence improves; model cost rises from $0.02 to $0.03. Is that useful improvement worth the extra cost?

Choose changes that improve useful results at a cost your team accepts. Check more than one task.

What you can do

Outcome checks

Define what a useful answer must contain. An optional judge on another model checks the answer against that rubric and can ask the agent to try again.

Read the docs

Compare changes

Run both versions on the same test cases. Supported comparisons replace writes with simulated results; unsupported agents are skipped and reported.

Read the docs

Plugin improver

Let an agent propose a fix to a plugin you own. A person reviews the change before a draft pull request opens, and a person decides whether to merge it.

Read the docs

Did the change help your team?

Assess these on the same representative tasks. Combine job records with your team’s review; these are evaluation questions, not an automatic score.

Four things to assess when comparing agent changes
MeasureWhat to check
Useful resultsDid a person accept the result? Did it solve the original task?
Cost per useful resultInclude retries and rejected attempts when comparing model costs.
Human effortHow often did someone need to approve, correct or finish the work?
RecoveryAfter an interruption, what resumed, restarted or needed intervention?