AI app rescue sprint.
A fixed-scope debug pass for founders and small teams whose AI-assisted app is close, but blocked by deploy, auth, data, API, payment, or platform issues.
Scope
Best fit: a real project with a specific blocker, repo or logs available when needed, and a willingness to prioritize the smallest reliable fix.
Built for stuck AI-assisted apps.
The goal is not to add more features. It is to identify the blocker, stop the loop of speculative fixes, and create a clean path to launch or handoff.
Diagnosis before more changes.
The sprint is intentionally narrow. It starts with evidence, then turns that evidence into the next concrete fix.
Triage the blocker
Review the visible symptom, deploy target, stack, recent changes, and the first useful log line.
Separate likely causes
Narrow whether the issue is build config, runtime env, auth policy, data shape, API contract, or platform limits.
Ship a fixed-scope path
Deliver a ranked fix list, patch guidance, or implementation pass depending on the access and scope agreed.
A practical output, not vague advice.
A small rescue sprint should leave you with a clear decision: patch now, rebuild a narrow part, change deployment setup, or stop spending time on the wrong path.
Fixed-scope rescue pass
Good for one focused blocker such as a failed deploy, broken auth flow, Supabase RLS issue, Stripe checkout problem, API failure, or AI-built app that needs a technical handoff before launch.
Send the app context.
Share the project, platform, current blocker, and the first useful error or log line. Do not include secrets in the form.
Unblock the app before adding more prompts.
Send the current blocker, platform, and first useful error line. The next step is a focused diagnosis before more changes are made.