It works—until the data is imperfect
One unexpected response crashes a page instead of showing a useful fallback.
FOR FOUNDERS WHO BUILT WITH AI
Your app looks finished. Will it survive real customers?
I find and fix the failures coding agents miss—broken customer journeys, hidden crashes, weak access controls, and release gaps—then prove your product is ready to ship.
REAL PROJECT · Foredawn
A full prediction-market product—not a portfolio mockup
Restored 3 missing brand assets
Contained malformed market data
Bounded health-check latency
Added server compilation to CI
THE PROBLEM I SOLVE
AI makes features fast. Shipping a dependable product is still hard.
A generated app can look impressive while important failures stay invisible. I focus on the customer journey that makes or loses money, then harden the systems around it.
RESILIENCE GAP
The tests are green—but customers still see defects
The test checks that code ran, not that the real result loaded and looked correct.
The app has features—but no launch evidence
You cannot confidently answer whether the build, deployment, and critical flow are safe.
More code keeps hiding the real risk
Agents add features quickly while access control, failure handling, and operations lag behind.
WHAT I DO
I audit, fix, verify, and document one business-critical flow.
A fixed-scope engagement: one focused week from audit to handover. No retainer, no full rewrite, no open-ended scope.
- AuditDay 1–2Trace the journey and rank risks by customer and revenue impact.
- FixDay 2–4Correct the highest-value failures in the existing codebase.
- ProveDay 4–5Run the real interface, builds, and targeted browser tests.
- Hand overDay 5Deliver the fixes, evidence, and a clear list of what remains.
REAL PRODUCT CASE STUDY · Foredawn
A mature product can still fail at the edges customers touch.
Foredawn is a full prediction-market application with customer trading, portfolios, referrals, sports markets, and an operator control center.
Before work began, 3,821 backend tests and all 26 browser tests passed, and both applications built. That green baseline still missed broken sharing, dashboard crash paths, an unbounded readiness endpoint, a public infrastructure diagnostic, and a release gate that did not compile the server.
Discover a market→Choose an outcome→Place a trade→Track the result→Share a win
ACTUAL DEFECT LEDGER
Five release defects found in the working Foredawn repository.
Each item below maps to implemented source, a targeted test, or reproduced build and browser evidence—not a hypothetical recommendation.
01 · CUSTOMER MOMENT
The share card rendered an empty brand frame.
Repair the asset systemGenerate the files and verify browser decoding
Branded sharing worksDesktop and 320 px mobile
02 · DASHBOARD
Unexpected market data could reach a crashing render path.
Validate at the boundaryTreat network responses as untrusted
Bad data degrades safelyNo customer-facing crash
03 · OPERATIONS
A stalled dependency could delay the health response.
Bound concurrent probesOne explicit time budget
Degradation is visibleWithout an indefinite wait
04 · RELEASE
CI repaired errors and skipped the production server build.
Make the gate prove the artifactCheck-only lint plus compilation
Green means moreClean source and production build
05 · ACCESS
A public endpoint exposed infrastructure egress data and made an unbounded third-party request.
Move it behind the admin boundaryPermission, throttle, validation, and timeout
Useful internally, closed publiclySanitized failure responses
THE CUSTOMER-VISIBLE FIX
A passing test hid a broken referral moment.
The win card asked for logo files that did not exist. The old test checked the file name, so it passed while the customer saw a blank space.
The fix added real Foredawn assets and changed the browser test to prove each image actually decoded. That turns a shallow check into evidence of what the customer sees.
WHY IT MATTERS
A winning customer can now promote the product with a credible, branded card.
Working asset · verified browser decode
THE LESS VISIBLE WORK
The fixes customers do not see are often the ones that protect the launch.
The assignment was not to rewrite everything. It was to close specific failure paths while preserving the product’s sensitive trading and payment behaviour.
RESILIENCE
Bad data no longer takes down the dashboard
Unexpected featured-market and breaking-news responses now fall back safely instead of reaching a crashing render path.
Found after the suite was greenOPERATIONS
Health checks finish within a known deadline
Database, cache, and provider checks run together and return a useful degraded result when a dependency stalls.
Bounded failure instead of waitingACCESS
An infrastructure tool moved behind admin protection
A public diagnostic became permission-controlled, rate-limited, validated, and time-bounded.
Useful internally, closed publiclyRELEASE
The pipeline now proves what production will run
Lint checks source without silently editing it, and the backend must compile before the release gate succeeds.
Clean source plus compiled artifact
SAFE CHANGE BOUNDARY
No database migration, customer balance, pricing rule, settlement logic, live payment, or production configuration was changed. High-risk money behaviour stayed behind the existing test boundary.
Technical buyer? Inspect the exact before-and-after source 14 source panels · selectable text · baseline versus working code
Customer share asset and browser proof
Dashboard data boundaries
Operational and access boundaries
Release gate
VERIFIED RESULT
The handover includes proof—not “trust me.”
Real customer and operator screens were exercised using safe test data. The product still builds, and the targeted failures now have direct coverage.
The customer and operator journeys still work after the fixes.
Trading, portfolio, mobile, sports, and admin flows exercised with safe test data.
Client checks passedIncluding malformed-data fallbacks
Production pages builtWith zero client lint errors
Critical surfaces shownReal components, not redesign mockups
WHAT THE FOUNDER RECEIVES
A release decision you can understand.
- Prioritized findings in plain business language
- Implemented fixes in the existing repository
- Desktop and mobile proof of the critical journey
- Passing test and production-build evidence
- A transparent list of remaining risks and next actions
BEST FIT
This is for you if the app exists—but confidence does not.
- You used Cursor, Claude, Codex, Lovable, Bolt, Replit, or another agent to build quickly.
- The interface looks ready, but authentication, payments, deployment, or failure handling still worry you.
- You need to launch, demo, or onboard paying customers without commissioning a full rewrite.
- You want an engineer to fix problems—not simply generate another audit report.
BEFORE YOU ASK
What founders want to know before starting.
A launch-risk review should be easy to say yes to. These are the questions that usually come back in the first reply—answered plainly.
Will you rewrite my app?
No. The review deliberately leaves the product intact. I find where real customers can break, fix those paths, and prove the result—the rest of the codebase stays exactly where it is.
My app was built fast with AI. Is it too messy to audit?
That is exactly the kind of codebase this review is for. Foredawn is an AI-accelerated production app with 3,821 passing backend tests that still hid five launch-critical defects. Generated code can be hardened, not just rewritten.
How long does it take?
One focused week: audit, fix, prove, hand over. You receive a ranked risk list early, so you can stop after the audit if that is all you need.
What if the codebase is sensitive?
The default mode is read-only. I audit a local copy, walk through findings on a shared screen, and only touch code after you approve each fix. Nothing merges without your review.
How do I know the fixes actually work?
Every fix ships with the same evidence as this case study: exact before-and-after source, a passing targeted test, a real production build, and a browser session of the corrected customer journey.
What happens after the week ends?
You keep the fixes, the evidence, and a transparent list of remaining risks and next actions. No retainer and no follow-on work pushed—the next decision is yours.
START WITH ONE CRITICAL FLOW
Before adding another feature, find out what could lose the customer.
Send the repository, the product URL if one exists, and the one journey that matters most—signup, checkout, payment, booking, dashboard, or another revenue-critical action.
“I need a launch-risk review for my app. The critical customer journey is ______. My biggest concern is ______.”
- Fixed scope: one week, one critical flow
- No retainer, no full rewrite
- Nothing merges without your review
- Money-critical code stays untouched