Audit action-selection changes
Spot behavior shifts after updates to an assistant or its available tools.
Illustrative idea, not a published runnable template. Grunt is prelaunch; live service is paused and live provider connections and outcomes remain unverified. The steps, providers, and outcomes below describe a concept.
For a controlled test environment, run a reviewed dataset through an assistant and compare the actions it actually selected with expected actions recorded by evaluators. Save pass or fail results and relevant diagnostic context for debugging. Keep live customer data out of test sets where possible, isolate external side effects, and treat a passing tool-use score as one quality signal—not proof that an answer or action is correct.
Actual availability depends on published steps, supported connections, permissions, and provider approval.
“Measure action-selection behavior without exposing sensitive examples or causing unreviewed real-world effects.”
Clear tasks, with review where it matters.
Helps developers test whether an assistant selected the expected information sources or utilities for a task.
A matching action sequence does not prove the final answer is accurate, safe, or fair. Use representative, privacy-reviewed examples, isolate live accounts and external effects, retain only necessary diagnostics, and review failures and passing cases before deployment.
Select an illustrative task to explore its proposed role. No workflow runs here.
Document which sources or utilities should be used and why.
Prevent test requests from sending messages, changing records, or spending money.
Record a transparent pass or fail and preserve the relevant test context.
Check whether the expected behavior or evaluation rule needs correction.
Treat action-selection results as one quality measure, not proof of correctness.
Document which sources or utilities should be used and why.
These are planning notes for the concept, not instructions for a currently available template.
Use authorized examples and remove personal details not needed for testing.
Keep test purpose, pass criteria, and dataset changes reviewable.
Use a sandbox and prevent test actions from reaching live services.
Require technical review before a result informs a deployment decision.
Published templates and verified customer availability remain pending.
Explore the sample experience while launch details are being finalized.
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