6 reviewed prompts.
Creates a page-by-page audit plan to find errors, broken formatting and thin content across a set of articles, with verified issues prioritized. Use it before a content cleanup or relaunch.
Scores a support conversation against your own quality standards, with evidence for each score, strengths and one improved wording. Use when reviewing tickets for coaching or quality checks, and keep it fair and specific.
Finds the weak spots in a prompt your team reuses, builds a small set of test inputs with pass checks, and proposes a minimal revision. Use when a saved prompt gives inconsistent results.
Designs a practical testing strategy for an application: risk map, test layers with targets, dependency handling, the first ten tests to write, CI gates and a four-week rollout. Use it when a suite is missing, slow or untrusted.
Builds a practical test plan for an AI assistant or automated workflow: realistic test cases, pass/fail rules, metrics and review triggers. Use before rolling a workflow out to a team.
Designs how to test an AI-powered feature before and after launch: success metrics, a balanced test set, a 1-5 scoring rubric with examples, pass criteria and a failure log. Use when you need to know whether an AI feature is good enough to ship.
