Evaluate an assistant on edge cases
Find situations where a workflow should pause, clarify, or avoid acting.
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.
Run approved test scenarios through an assistant, record which actions it reports taking, and compare those actions with the expected result for each scenario. Use the metric to spot reliability gaps and improve the workflow before people depend on it in a live customer or business process.
Actual availability depends on published steps, supported connections, permissions, and provider approval.
“Compare observed assistant actions with expected actions and report a clear, repeatable evaluation result.”
Clear tasks, with review where it matters.
Shows how to evaluate whether an assistant follows the expected action path for each test scenario.
Test conversations can contain customer or employee information. Use synthetic or properly authorized, minimized data, obtain consent where required, restrict access to results, and review failures with a person before changing or releasing a customer-facing process.
Select an illustrative task to explore its proposed role. No workflow runs here.
Use synthetic scenarios or data that your organization is authorized to process, with sensitive details removed where possible.
Describe which action should occur and when it is appropriate, including cases where the assistant should not act.
Keep each input associated with its expected outcome and capture the actions reported during the test.
Mark whether the required action occurred and distinguish a missed action from an inappropriate extra action.
Inspect representative cases, identify likely causes, and have a responsible person approve updates before live use.
Use synthetic scenarios or data that your organization is authorized to process, with sensitive details removed where possible.
These are planning notes for the concept, not instructions for a currently available template.
Include expected behaviors, edge cases, and cases where the correct choice is to ask a person or take no action.
Avoid unnecessary personal data, document permission for any real conversation used, and limit access to the evaluation set.
Specify how to score required actions, inappropriate actions, missing results, and uncertainty.
Name who interprets results, checks failure examples, and approves changes before a customer-facing release.
Published templates and verified customer availability remain pending.
Explore the sample experience while launch details are being finalized.
View pricing status Explore the simulation