What usually breaks
AI prototypes look finished before they are launch-ready
The first version can be impressive and still hide the exact issues that block payments, onboarding, deployment, and support.
Auth that works only in the happy path
Magic links, sessions, roles, and redirects often pass demos but fail under real users.
Data models that cannot survive change
AI code can ship with missing constraints, duplicate states, and migrations nobody can trust.
Deployment surprises
Environment variables, build steps, storage, domains, and cron jobs are rarely wired cleanly.
Security gaps hidden behind working screens
Public routes, unsafe database access, exposed keys, and weak validation need a real review.
Slow paths that appear after the first users
Uncached queries, oversized bundles, and chatty APIs make a polished demo feel fragile.
No recovery plan when something breaks
Logs, error states, retries, and admin controls are usually absent until the first incident.
Sample output
You get a decision document, not vague advice
The diagnosis ranks blockers by severity, explains the impact in plain English, and gives you a fix path you can use with or without Vibeship.
Launch-readiness report
Ranked blockers
Session refresh fails on protected dashboard routes.
Normalize middleware and add expired-session handling.
Orders can be created without an owner relation.
Add schema constraints, guards, and a migration plan.
Local-only environment setup blocks Vercel deploys.
Document required env vars and split server-only config.
Payment and onboarding flows have no error recovery.
Add retry, empty, and failed-payment states before launch.
Recommended path
- 1. Stabilize core
Fix auth, owner validation, and deployment configuration. - 2. Add recovery
Cover failed payments, empty states, and retry behavior. - 3. Launch narrowly
Ship to a small pilot group before adding new features.
How it works
Start small, fix what matters, then decide what comes next
The diagnosis is designed to help you decide clearly: fix it yourself, close the top blockers with a sprint, or scope a custom roadmap only after the risks are visible.
Share the prototype
Book a short fit call first, then send the repo, live preview, or walkthrough if the diagnosis makes sense.
Get a launch-readiness report
Receive ranked blockers, fix estimates, and a practical recommendation for what to do next.
Choose your path
Fix it yourself, apply the diagnosis credit to a Fix Sprint, or use the findings to shape a custom roadmap.
Work
Proof from products already shipped
PatternRank and VibeChess are now shown as build stories: what was shipped, what had to be solved, and how that maps to the same problems solo founders bring to Vibeship.

Built by Vibeship
PatternRank
A research-focused market rankings product for US equities, momentum and breakout models, confidence scores, and subscriber access.

Built by Vibeship
VibeChess
A mobile chess product with adaptive puzzles, real-time mate-in-1 duels, subscriptions, and cross-platform app-store flows.
Pricing
Founder-friendly steps before custom build work
Book a short fit call first. If your prototype is a fit, the $149 diagnosis is confirmed after the call and credited toward a $499 Fix Sprint if you continue.
Low-risk first step
Start with a fit call before committing to the diagnosis.
No hidden hourly pitch
Fix work is packaged around blockers, not sold as open-ended time.
Useful either way
Use the report yourself, or apply it toward the Fix Sprint.
Prototype Diagnosis
A focused prototype review that gives you clarity before implementation: what blocks launch, what matters, and what to fix first.
USD
one-time review
Book a short fit call first. If your prototype is a fit, the $149 diagnosis is confirmed after the call.
Included:
- Ranked launch blockers by severity
- Plain-English risk summary
- Fix estimates and recommended sequence
- Launch-readiness report with go / no-go guidance
Scope:
- Repo, preview, or walkthrough review
- Best for solo founders with a working demo
- $149 credited toward the Fix Sprint if you continue
Prototype Fix Sprint
A focused implementation sprint for closing the highest-impact launch blockers found in the diagnosis.
USD
focused implementation
$149 diagnosis credited if you continue. Scope is confirmed manually before work begins.
Included:
- Close the top blockers from the diagnosis
- Repair auth, data, or deployment issues
- Add missing recovery and error states
- Prepare a tighter launch checklist
Scope:
- Based on diagnosis findings
- Focused on the highest-impact launch blockers
- Larger roadmap scoped separately if needed
Not a fit if
This is for prototypes, not ideas.
FAQ
Questions solo founders ask before booking
The fit call is intentionally low-pressure: confirm whether the diagnosis makes sense, then decide whether to continue.
What do I need before booking?
A working demo, repo, preview link, screen recording, or walkthrough is enough. The prototype can be rough, but there should be something real to review.
Do I need a GitHub repo?
No. A repo is helpful for deeper diagnosis, but a live preview or walkthrough can be enough for the fit call.
What happens during the 15-minute call?
We check what you have, what you are trying to launch, and whether a diagnosis is the right next step. You are not charged just for booking the call.
Is the $149 paid before or after the call?
After the fit call. If your prototype is a fit, the $149 diagnosis is confirmed manually. There is no checkout on this site.
What do I get after the diagnosis?
You get a launch-readiness report with ranked blockers, plain-English risk notes, fix estimates, and a recommended next path.
What if my prototype is messy or incomplete?
That is normal. The diagnosis is meant for imperfect AI-built demos. The main requirement is that there is enough product surface to review.
Do I have to hire Vibeship after the diagnosis?
No. You can use the report yourself, hand it to another developer, or apply the $149 credit toward a Vibeship Fix Sprint.
What does the $499 Fix Sprint include?
A focused implementation sprint for the highest-impact blockers found in the diagnosis, such as auth, data, deployment, or missing recovery states.
What does it not include?
It is not a ground-up rebuild, open-ended feature build, or long roadmap engagement. Larger implementation work is scoped separately after the risks are clear.