AI Prototype Production Readiness
You (or an AI tool) already built something that works in a demo. Before you put real users and real data on it, we run a fixed-price audit, tell you exactly what's actually risky, then fix it in a scoped hardening sprint.
- Independent security & architecture audit, delivered as a written report
- Fixed-price hardening sprint, scoped from real findings — not an open quote
- Built for prototypes made with Cursor, Lovable, Bolt, v0, Replit, or Claude Code
- Optional ongoing monitoring retainer once you're live
Service Focus
Delivery Ready
3-5 Days
Audit Turnaround
Fixed Price
Both Stages
2-4 Weeks
Hardening Sprint
Any AI Tool
Cursor, Lovable, Bolt, v0
You Built the First Draft.We Make It Safe to Run a Business On.
AI coding tools compress the first draft — they don't reliably compress the parts that matter once real users and real data show up: auth, data integrity, and the failure modes that only surface under production load.
Independent testing has repeatedly found a meaningful share of AI-generated code failing basic security checks. We don't guess at whether that's true of your build — we audit it, then fix what's actually wrong.
What Gets Reviewed
- Authentication & Access Control: Who can see and change what, and whether that's enforced correctly.
- Data Model & Integrity: Migrations, validation, and the edge cases that break under real usage.
- Dependency & Supply-Chain Risk: Hallucinated or outdated packages, and known vulnerability classes.
- Architecture Under Load: What breaks first when usage grows past a demo.
- Monitoring & Observability Gaps: Whether you'd actually know if something failed in production.
Who This Is For
- Bootstrapped Founders: Shipped a working prototype with an AI tool, about to onboard real users.
- Post-Funding Teams: Need the prototype to hold up under investor and customer scrutiny.
- Teams After an Incident: Something already broke, and you want an honest audit before it happens again.
- Non-Technical Founders: Built something that works but have no way to independently verify it's safe.
Why This Is a Separate Engagement, Not a Feature List
01
Audit Before Build
You see exactly what's wrong before paying for a fix — no guessing at scope.
02
Fixed Price, Both Stages
The audit and the sprint are each priced upfront, not billed hourly against an open scope.
03
Tool-Agnostic
We work with whatever you already built, in whatever AI tool you used to build it.
04
A Real Vendor, Not a Tool
Someone accountable for the outcome — not another AI-generated first draft.
Why Not Just UseClaude, ChatGPT, or Cursor?
A good AI tool can generate a working first draft in minutes. We use these tools ourselves, every day.
What they don't do is decide what shouldn't be built, catch the data model mistake that only shows up under real load, or take responsibility when something breaks in production.
We're not selling you against AI. We're the team you bring in when an AI-assisted prototype needs to become a real product.
Talk to Us About Your PrototypeJudgment on what not to build
An AI tool builds whatever you ask it to. We help you scope what actually matters before a line of code gets written.
Production hardening
Auth, data integrity, security, and monitoring are the unglamorous work that turns a fast draft into something real users can depend on.
Integration with real systems
Your business already runs on existing tools and data. Wiring new software into that reality is where AI-generated code most often breaks down.
Accountability
A tool can't be held responsible for an outage or a data breach. A vendor can — and should be.
What the Audit & Sprint Cover
A structured review of the exact places AI-generated first drafts most often fall short — then a fixed-price sprint to fix what's found.
Independent Security & Architecture Audit
A structured, fixed-price review of your existing app — auth, data model, dependency risk, and the failure modes AI-generated code most commonly ships with.
Findings You Can Act On
A written report ranking what's actually risky versus what can wait, so you know exactly what a hardening sprint will fix before you commit to it.
Data Integrity & Auth Hardening
The parts most first drafts get wrong under real load: access control, data validation, migrations, and the edge cases that only show up with real users.
Fixed-Price Hardening Sprint
Scoped directly from audit findings, not an open-ended engagement — you know the price and the timeline before work starts.
Built for Vibe-Coded Tools
We work inside what you already have — Cursor, Lovable, Bolt, v0, Replit, or Claude Code — rather than starting over from scratch.
Ongoing Monitoring, Optional
Once you're live, an ongoing retainer keeps someone watching for the reliability issues that don't show up until production traffic does.
From Audit to Launch-Ready
Two fixed-price stages: know what's wrong before you pay to fix it.
Production Readiness Audit
3-5 days. We review your existing prototype's auth, data model, dependencies, and architecture, and deliver a written, ranked findings report — fixed price, no open scope.
Scoped Hardening Sprint
Priced directly from what the audit actually found. Typically 2-4 weeks to close the gaps that matter before real users and real data touch the system.
Launch-Ready Handoff
You get a system that's been through a real security and reliability pass, plus documentation of what changed and why.
Optional Ongoing Retainer
For teams that want continued monitoring, evaluation, and incident response once the system is carrying real traffic.
What happens after launch?
A hardened system still needs someone watching it. The AI Ops Retainer covers ongoing monitoring, evaluation, and incident response once you're live.
From the Blog
Practical guides on AI-assisted development, evaluation, and what it actually takes to ship production AI features.
Get Your Prototype Audited
A fixed-price, 3-5 day audit tells you exactly what's standing between your current build and something you can safely put real users on.