What do I get at the end of the audit?

A written findings report covering the data layer, identity, secrets, integrations, and operations. Every finding is graded keep, harden, replace, or defer, ranked by risk, with a fixed-scope and fixed-price proposal for the hardening phase. The report is yours whether or not you continue with us.

Do I have to proceed with RaftLabs for the hardening?

No. The audit is a standalone diagnostic. Many teams use the report to prioritise their own engineering; others engage us for the hardening phase. Either way you leave with evidence instead of guesses.

What access do you need?

The prototype tool project (or exported repository), the database, environment configuration, and a walkthrough of the product with someone who knows what it should do. Without repository and data access we cannot audit, and we will tell you that upfront rather than guess.

How is this different from a penetration test?

A penetration test attacks a running system to find exploitable vulnerabilities. The audit is broader and earlier: it assesses whether the foundation (schema, auth model, data isolation, operations) can carry a production product at all. If you already have a production system, you likely want a pentest; if you have a prototype approaching production, you want this first.

My prototype is not AI-built; it is no-code or conventional code. Does the audit still apply?

Yes. The audit inspects the build in front of us regardless of how it was produced. No-code tools create the same class of invisible-foundation problems, and conventional prototypes often carry the same demo-grade shortcuts.

AI Prototype Audit

Find out what your AI-built prototype is hiding before customers do.

A fixed one-to-two-week diagnostic for prototypes built in Lovable, Replit, v0, Bolt, or similar tools. We inspect the invisible foundation, including the auto-created database schema, authentication, security posture, secrets handling, and integrations, and deliver a written findings report: what can stay, what must be hardened, what should be replaced, and what can wait. No obligation to continue.

See our work

Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.

The brief

Start with what is not working.

Good software decisions begin with the constraint, not a list of features or a preferred technology.

You said "yes" when the tool asked to persist data. Now a database exists that you never designed and cannot explain.

Nobody on your team can answer basic questions: who can see whose data? What happens when two users edit the same record? Where are the API keys stored?

Investors, partners, or enterprise prospects are asking about security, and you have no answers.

Plain answer

An AI prototype audit is a one-to-two-week diagnostic that inspects the hidden foundation of a prototype built in Lovable, Replit, v0, or similar tools: database schema, authentication, authorisation, secrets handling, integrations, and deployment safety. RaftLabs delivers a written findings report grading each part keep, harden, replace, or defer, plus a fixed-scope plan for production hardening.

The most expensive question is the one nobody asked.

"Do you want to persist this data?" You said yes. A database was created, tables inferred, an API generated. It felt like magic because the decisions were made for you, invisibly.

Those invisible decisions are now load-bearing: the schema shapes every query you will ever write, the auth model decides who can see what, the secrets handling determines your breach surface. An audit makes every one of them visible, graded, and priced to fix before a customer, a partner, or an attacker asks the question for you.

Audit facts

fixed diagnostic window: 1-2 weeks; Repository access required

data, identity, secrets, integrations, operations: 5 areas; Every finding graded and ranked

the report stays with you: Yours; No obligation to continue

When the audit pays for itself

A fit

Real users, customer data, payments, or a security questionnaire are approaching, and you cannot answer foundation questions today.

You need a fixed, evidence-backed scope before committing budget to production work.

A technical decision-maker (you, a co-founder, or an advisor) can grant repository and environment access.

Not a fit

The prototype is still an experiment and no real data or users are near; keep iterating.

You already operate the system in production and need a penetration test or compliance audit instead.

Repository and environment access cannot be shared; without it, an audit is guesswork.

From audit to production

The audit is step one of the prototype-to-production journey. Step two, production hardening, implements the report: real schema, real auth, security controls, integrations, and a safe launch. Fixed scope, agreed after the evidence is in.

Work with us

Know what is inside the build before customers find out.

One to two weeks, a written report, and a fixed scope for whatever comes next.

Scope and cost agreed before work starts. No surprises. No obligation.
Working prototype within 3 weeks of kickoff.
Pay by milestone. You see progress before each invoice.
60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
All conversations are NDA-protected.

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Tell us about your project

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Common questions

: A written findings report covering the data layer, identity, secrets, integrations, and operations. Every finding is graded keep, harden, replace, or defer, ranked by risk, with a fixed-scope and fixed-price proposal for the hardening phase. The report is yours whether or not you continue with us.
: No. The audit is a standalone diagnostic. Many teams use the report to prioritise their own engineering; others engage us for the hardening phase. Either way you leave with evidence instead of guesses.
: The prototype tool project (or exported repository), the database, environment configuration, and a walkthrough of the product with someone who knows what it should do. Without repository and data access we cannot audit, and we will tell you that upfront rather than guess.
: A penetration test attacks a running system to find exploitable vulnerabilities. The audit is broader and earlier: it assesses whether the foundation (schema, auth model, data isolation, operations) can carry a production product at all. If you already have a production system, you likely want a pentest; if you have a prototype approaching production, you want this first.
: Yes. The audit inspects the build in front of us regardless of how it was produced. No-code tools create the same class of invisible-foundation problems, and conventional prototypes often carry the same demo-grade shortcuts.