Keep / cut decision
You get a clear decision on what stays, what gets rewritten, and what gets deleted.
AI Prototype → Production
Your AI prototype is close. Make it safe enough for real users.
For founders with a Claude/Cursor/Lovable-style prototype: keep what works, cut what does not, harden the product, and launch with guardrails.
from $15k 2–8 weeks prototype required
What you get
Concrete deliverables for turning a promising generated prototype into production software your team can operate before users see fragile code, because generated speed still needs human product judgment.
Production spine
You get auth, data, permissions, API boundaries, deploy, and rollback work built for real use.
Product finish
You get UX flows, onboarding, states, analytics, launch checklist, and owner handoff deliverables.
Before
Almost-working code
Generated fast, unclear risk, unfinished UX, fragile deploy path.
After
A product users can trust
Clear scope, stable architecture, launch guardrails, owner handoff.
Process
Four moves from demo to production
01
Triage
Repo, demo, risks.
02
Shape
Scope the real product.
03
Harden
Fix the system.
04
Ship
Launch safely.
Good fit
Use this when the demo has real promise.
- The prototype proves the idea, but the code is not production-safe.
- Users, customers, or investors are close to seeing it.
- You need a keep, cut, fix, and launch plan before adding more features.
Not a fit
Audit first if the risk is unknown.
- There is no working prototype to review.
- You only need a code audit, not implementation.
- You want to keep every generated feature without prioritizing risk.
Bring the prototype.
We’ll tell you what to keep, what to fix, what to cut, and what it takes to launch safely.