Lovable, Bolt, Replit, Cursor, Claude Code: they get you to a working demo fast. What they do not do is decide what is safe to ship. I review what shipped, write the plan that makes it safe, and either hand you the plan or take it to production myself.
Ideal for apps built with Lovable, Bolt, Replit, v0, Cursor or Claude Code.
Illustrative review. These are the kinds of findings that show up in the first hour with an AI-built app. Your written plan names your files, your risks, and the order to fix them.
These are the places an AI-built app breaks first. I read the code, run the app, and write down what I find in order of how much it would hurt.
Want to run these yourself? The full checklist gives each one a test you can do in an afternoon, free.
Every audit follows the same sequence so your code is protected in writing before you share it, your production database stays untouched, and every finding is backed by runnable tests and exact file-and-line citations.
Tell me what the app does, which AI tools built it (Lovable, Bolt, Replit, v0, Cursor or Claude Code), and where you are stuck. I review any handoff notes or error logs you already have and confirm on the spot whether a review session or a full audit is worth your money.
Before you share a line of code, I send a Mutual Confidentiality Agreement through SignWell covering your repository, architecture and strict AI-tooling rules: your code is never used to train models, and my local clone is deleted within 10 business days of the engagement ending. Once signed, you invite nexaiadvisors to your GitHub repo with read-only access.
I take a fast read-only look at your repository to verify the stack, size, integrations and active release branch (even if your live deployment sits on a Replit or staging branch ahead of main). Then I send a written proposal and Service Agreement via SignWell with a fixed price and a 50% deposit invoice by bank transfer.
Once the deposit clears and repo access works, I run six read-only passes across security and tenant isolation, core business and money math, third-party integrations, database migrations and sync safety, release and CI alignment, and git-history secret scans. I also write runnable synthetic scenario tests against your core logic that you keep, and send a short read-only SQL/config checklist for you to run in your own dashboard so you never hand over production database keys or live customer data. Any leaked live key in git history is flagged to you immediately.
You receive a written PDF report where every finding is anchored to its exact file and line number, separated into launch blockers versus post-launch improvements, alongside the runnable scenario test suite and fixed prices for every fix group. We walk through the report together on a call (or narrated video walkthrough) so you can ask questions and decide what to tackle first.
The report and scenario tests are yours to keep. Hand them to your own developer or AI coding agent, or hire me for a fixed-price production hardening sprint (where half of the audit fee comes off the sprint price) or ongoing monthly engineering care.
Every step is priced on its own; the $500 review session counts toward the audit if you buy it within 90 days. You can take the written plan and stop, or keep going until the app is safe to run a business on.
A 60 to 90 minute working session on your app, or a read-only repo review, then a written plan within 48 hours: what is broken, what is risky, what to do first, and what it costs. Paid when you book.
A full review of an AI-built app: severity-ranked findings with the effort to fix each, delivered within 24 hours.
$4,500 fixed for up to 5 critical or high findings in 1 to 2 weeks; $6,000 to $8,000 for 6 to 10 findings in 2 to 3 weeks.
The written plan names your files, your risks, and the order to fix them, with the effort next to each one. Hand it to your own developer or work through it yourself. Nothing in it depends on hiring me.
The sprint is scoped from the audit's finding count, so the number is written down before any work starts. Fixed price means fixed. 50% deposit and 50% on delivery for work under $10,000; 25% milestones above that. Scope changes come with a written number before any work starts.
Cancel or reschedule at least 24 hours before the call and I refund the $500 in full. Once the call has happened and you have the assessment, it is not refundable.
No. The audit is strictly read-only on your code repository under a signed Mutual NDA. I never connect to your live database, payment processor or customer records. When a finding depends on a live database setting or row-level security policy, I send you a short read-only SQL query or settings check to run in your own dashboard and paste back with personal data removed.
That is common with AI-built apps. During the codebase check I help you push your active workspace or TestFlight release branch to GitHub so I audit the exact code you are about to ship, not a stale branch from a month ago.
I do not wait for the final report. If the git-history scan finds a live service-role key or API secret, I email you an immediate heads-up with the exact commit and rotation steps so you can lock it down the same day.
No. Our Mutual NDA requires that any AI coding tool used during the review has model training turned off, that no customer data or secrets are ever sent to outside services, and that all local repository clones are deleted within 10 business days after our work ends.
Looking for AI staff instead? Start with the business brain
Send a link to the app or the repo. I will tell you the first three things I would look at, and whether a $500 review session is worth your money.