AI-Built & Half-Finished MVPs
Keep the useful parts, replace fragile shortcuts and finish the flows that never became production-ready.
We take over SaaS products with broken Stripe flows, unreliable auth, slow dashboards, database problems, unfinished features or fragile AI-generated code — and make the critical flows dependable in production.
If every new feature creates another bug, payments fail randomly or dashboards slow down as data grows, adding more features will only make the product harder to maintain.
Keep the useful parts, replace fragile shortcuts and finish the flows that never became production-ready.
Fix failed subscriptions, webhook issues, access rules, login problems and users ending up on the wrong plan.
Find why dashboards take seconds to load, requests time out or performance drops as customer data grows.
Fix issues that only appear after deployment, unstable releases, configuration problems and environments that behave differently.
Emergency patches can keep an MVP alive, but they also pile up. We trace recurring problems back to the code, database or product flow causing them, then fix the source instead of adding another workaround.
The visible error is often only the symptom. We trace what is happening behind it so the same problem does not show up somewhere else after the next update.
Untangle duplicated logic and fragile shortcuts so one small update does not create new problems elsewhere.
Make signup, login, billing, account access and core product actions work consistently from start to finish.
Fix configuration and environment differences so a release does not work in testing and fail after it goes live.
Fix slow queries and backend bottlenecks before more users, more records and more activity turn them into bigger failures.
Reproduce what is going wrong and trace it through the code, database, APIs, billing flow or production setup.
Handle failed payments, broken logins, blocked users and other issues affecting customers or revenue first.
Fix the code or product logic behind the failure instead of adding another temporary patch around the symptom.
Test the repaired flows under realistic conditions before calling the problem solved and moving forward.
The questions founders usually ask when an MVP works well enough to demo but not well enough to trust.
Yes. We can review what the AI-generated build produced, keep the useful parts and replace or restructure the parts that are too fragile for production.
Yes. We can trace the payment flow across checkout, subscriptions, webhooks, account access and your backend to find where the failure actually starts.
Yes. We do not recommend a full rebuild just because the code is messy. If the product can be repaired safely, we keep what works and focus the budget on the parts causing real problems.
Yes. Once the important flows are stable, we can continue developing features, improving performance and scaling the product without returning to emergency fixes every week.
Explore recent SaaS, web application, AI and website work in our portfolio.
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