AI Build Sanity Check
Check an AI-built app for work that looks finished but is not: leftover TODOs and stubs, fake or mock data returned as real, errors quietly swallowed, placeholder content,…
Check fit, access, and next step →// shop by job
Verify an AI-built app before launch
Find unfinished behavior, unsafe assumptions, missing tests, and unproven completion claims before an AI-built application reaches users.
Who this is for: Founders, product owners, and developers preparing an AI-assisted build for release.
How to choose
Start with AI Build Sanity Check for a broad unfinished-work scan. Use AI Code Verification Gate when the agent must prove a specific change, Webapp Tester for real browser flows, and Agent Task Completion Gate when a delivery must satisfy an explicit acceptance ledger.
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Skills for this job
AI Code Verification Gate
Stop your agent from claiming done before it is proven. A verification gate that classifies each change by risk (payment, auth, database, user-facing),…
Check fit, access, and next step →Webapp Tester
Run real Playwright E2E tests on your web app: login, checkout, and form flows across desktop and mobile viewports, with screenshots, traces,…
Check fit, access, and next step →Test Quality Auditor
Finds unit tests that pass without testing anything: no assertions, trivial assertions, tests that assert the mock.
Check fit, access, and next step →AI UI Finish Loop
Find and finish the UI states AI-built apps commonly miss, then verify the smallest launch-ready patch across mobile and desktop.
Check fit, access, and next step →Agent Task Completion Gate
Verify an AI coding task against required rows, dependencies, evidence, artifacts, and real external boundaries before the agent declares completion or hands off.
Check fit, access, and next step →Still not sure which scope fits?
Describe the platform, file, failure, and result you need. The recommender returns only catalog-grounded matches.
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