Verification service
An independent verification pass over Base44 AI-builder output. We catch the gaps the AI does not flag — RLS drift, missing connecting code between files, regressions after large edits, auth context that never propagated into the new function. Fixed-fee, five business days, written report. Ship to production with a paper trail.
01 /THE PROBLEM
Base44's AI builder ships features that look complete in the editor but are partially built in the codebase. The page renders, the button clicks, the toast fires — and then the function call lands in a handler that was never wired into a route, or hits an RLS policy the AI forgot to update when it added the new column.
We have run 11 audits against AI-built Base44 apps in the last six months. Every single one had at least three undisclosed gaps. Eight of eleven had orphan RLS policies — rules pointing at tables that no longer existed, or tables with no policy at all. Six of eleven had connecting code missing between two files the AI claimed it had "updated together." The median audit surfaces eight issues across seven verification patterns.
The AI does not lie about what it did. It just does not know what it did not do. That is the gap an audit fills: a senior engineer reads the codebase, the RLS catalogue, the route table, and the type definitions side-by-side — and writes down what is missing before your first paying user finds it.
02 /COVERAGE MATRIX
Every audit walks the same seven patterns — the failure modes the Base44 AI builder reliably leaves behind. The matrix is published so you know what you are paying for before the engagement starts.
01/PATTERN
The AI added a column, a table, or a multi-tenant scope but did not update the row-level-security policy. Result: tenants read each other's rows, or admins cannot read any row. Eight of our last eleven audits surfaced this. We enumerate every policy, cross-reference against every query, and flag drift line-by-line.
02/PATTERN
The AI generated a handler, a route, a hook, and a UI button — and shipped three of the four. The button calls a function that does not exist; the handler is unreachable; the route returns 404. We trace every UI action to its terminal data write to verify the chain is intact.
03/PATTERN
Types claim a field exists; the runtime schema dropped or renamed it three edits ago. TypeScript compiles, the page mounts, and then the first query throws at the customer. We diff types against the live schema and flag every mismatch with a reproduction recipe.
04/PATTERN
Stripe, Resend, and SSO providers retry. The AI-generated handler reads the event, writes a row, and returns 200 — but does not check whether it has seen the event ID before. Result: duplicate charges, duplicate emails, duplicate user records. We audit every webhook for idempotency keys and dead-letter handling.
05/PATTERN
The session is on the request; the function the AI added does not read it. The request executes as the service role instead of the user. Privilege escalation by accident. Five of eleven audits surfaced this. We trace auth context from the edge to the data layer for every authenticated route.
06/PATTERN
The happy path works; the failure path swallows the error and returns a 200 with an empty body. The UI shows a success toast for a request that silently failed. We enumerate every catch block and every default-return and flag the ones that hide failures from the user.
07/PATTERN
Queries reference columns that no longer exist, joins reference foreign keys the AI removed, indexes are missing on the columns the new feature filters on. We run a static enumeration of every query against the current schema and flag every drift — including the silent-performance failures (missing indexes) that look fine in dev and fall over at 10,000 rows.
03 /WHAT YOU GET
Fixed-fee, no hourly billing, no scope creep. The Full Audit is the default; the Quick Check is for buyers who need a directional read in three days; the Fix Sprint is for buyers who already know they want the issues remediated.
TIER
$1,500
USD · Fixed-price · One engagement
Three business days. Top-3-issue report only — no fixes, no walkthrough. Right when you need a directional read on whether the AI-built app is shippable.
Scope
Out of scope
TIER · RECOMMENDED
$4,500
USD · Fixed-price · One engagement
Five business days. Complete coverage matrix across the seven patterns, 15-page written report, two-hour walkthrough call. The default tier for pre-launch verification.
Scope
Out of scope
TIER
$9,500
USD · Fixed-price · One engagement
Full audit, then two weeks of remediation work shipped against the report. Verification tests included so the next AI edit cannot silently regress what we fixed.
Scope
Out of scope
02 /METHOD
Four steps, every time, regardless of the bug. Diagnose. Reproduce. Repair. Verify. The discipline is what makes the work shippable — and refundable when it is not.
02.1/STEP
Read the stack trace, the network log, and the credit-burn graph. Walk every layer. We do not guess. We do not Vibe-fix. We isolate the failure to a specific line, function, or schema mismatch before any code is written.
02.2/STEP
Reproduce the failure deterministically — same input, same broken output, every time. If we cannot reproduce it, we cannot prove we fixed it. This step is the gate; nothing ships without a written 100% reproduction recipe.
02.3/STEP
Smallest possible change at the correct layer. No drive-by refactors, no AI rewrites of files we did not touch. The patch is reviewed against the reproduction recipe and shipped behind a feature flag where the platform allows.
02.4/STEP
Tests pass. The original failure cannot be reproduced. Credit-burn delta is recorded. The fix is documented in a written summary that names the root cause, the change, and the verification steps. Then — and only then — we close the ticket.
Method ref · base44devs/method-rev-2026-05 · applies to every fix sprint
04 /INPUTS
Five source-of-truth artefacts every audit walks. Each is enumerated in full and cross-referenced against the others. No sampling. No spot-checks. Either the matrix is complete, or the audit is not finished.
A./SOURCE
Every route handler, every function, every hook, every page. We map the call graph from UI down to data layer and flag every dead-end, every unreachable handler, every orphan import.
B./SOURCE
Every policy on every table. Cross-referenced against every query. Orphan policies, missing policies, and policies that allow more than the AI claimed are flagged with a reproduction.
C./SOURCE
Every read and every write the app issues, mapped to the policy that gates it and the index that serves it. Missing indexes, missing policies, and silent fallbacks to service-role queries all surface here.
D./SOURCE
Anonymous, authenticated, admin, service-role. Every route exercised against every role. Gaps in the access matrix — e.g. a route an unauthenticated user can hit that mutates data — surface in the smoke run, not in production.
E./SOURCE
We pin to two commit hashes — the last verified build and the current head — and diff every audited region. Anything the AI rewrote, deleted, or silently moved is flagged. This is how we catch the regression-loop pattern: the AI fixed bug A by introducing bug B somewhere else.
05 /DISQUALIFICATION
Three honest gates. If you are in any of these positions, an audit is not the right spend — and we will say so on the scoping call before the engagement letter goes out.
×/GATE
Audits are a pre-launch and post-large-edit instrument. If you are still iterating in the editor with no signed-up users, finish the build first. The AI builder will rewrite half of what we audited; the audit goes stale before launch.
×/GATE
The Quick Check is the floor. We do not run audits at a discount because the work cannot be compressed below three days without skipping verification patterns. If $1,500 is a reach, ship to your first ten users first — come back for an audit once revenue justifies it.
×/GATE
Auditing AI-generated code you are about to throw away is wasted spend. Get a migration auditinstead — same engineers, different scope, focused on what is portable rather than what is broken.
06 /BUYER QUESTIONS
A regular code review judges code on style, structure, and idiom. An AI-builder audit verifies that the code does what the AI claimed it built — that the RLS policies actually match the queries, that the webhook handler is wired into a route, that the type definitions match the runtime schema, that the auth context propagates into the function the AI added. We are checking integrity, not aesthetics.
Both options exist. The Quick Check ($1,500) and Full Audit ($4,500) tiers are diagnostic only — we deliver a written report and walk you through it. The Audit + Fix Sprint ($9,500) bundles the audit with two weeks of remediation work, including verification tests so the next AI edit cannot silently regress the fixes. Most clients start with Full Audit and upgrade to a fix sprint if the report warrants it.
We pin to a specific commit hash on day one and audit against that snapshot. If you ship AI edits during the engagement, we note the divergence in the report and flag any audited regions that have drifted. Most clients freeze AI edits for the five-day audit window — but it is not strictly required, just cleaner.
Yes — pre-launch is the highest-leverage point to engage. The audit cost ($1,500-$4,500) is one to three orders of magnitude cheaper than a post-launch incident on AI-generated code. We have run pre-launch audits on apps as small as a 30-table schema and as large as a 280-table multi-tenant SaaS. If you are within two weeks of launch, prioritise the Full Audit tier.
A full-time senior engineer in the US loaded cost is $15,000-$22,000 per month. A Full Audit is $4,500 fixed-fee and lands in five business days. The math only favours full-time hiring when you have at least three months of continuous AI-builder verification work — which most teams do not. Audits are deliberately scoped to be the cheaper, faster, lower-commitment option.
Yes, by default. We sign your NDA before we look at the workspace, and we operate as a read-only collaborator wherever the platform allows. We do not subcontract the audit to undisclosed third parties. Every engineer on the engagement is named in the engagement letter. If your legal team requires a custom NDA, we will redline within one business day rather than dragging the kickoff.
Five business days for the Full Audit, same as non-regulated apps. HIPAA-adjacent work adds two extra checks — PHI propagation paths and audit-log completeness — but it does not slow the engagement. We do not currently sign BAAs because we are diagnostic-only on the regulated data path; if your HIPAA program requires a BAA from your auditor, flag that on the kickoff call so we can route you to a partner who signs them.
07 /NEXT STEP
Book a 30-minute scoping call. Same engineer who scopes the audit ships it. Fixed-fee, written report, five business days.