Your prototype works. Real users are a different test.
Your Lovable, Bolt.new, or Base44 build impresses in the demo, but it was never built to hold real accounts, real payments, or real traffic. We complete the missing pieces, harden what's there, and deploy it on infrastructure built to scale.
Prototype-ready and production-ready are 2 different bars.
AI prototype to production is the process of taking a working AI-built demo — from Lovable, Bolt.new, Base44, or a similar builder — and completing the missing features, security, and infrastructure it needs to serve real users. A prototype has to prove the idea works. Production software has to keep working when a user enters real payment details, when 50 people use it at once, and when something fails at 2am with nobody watching.
The gap is specific and well documented. Prototype-stage apps typically ship with basic access controls, no compliance design, and no observability. Infrastructure cost reflects the same jump: MVP-stage cloud spend runs $5,000 to $20,000, while production-stage infrastructure runs $40,000 to $200,000 or more per year once real usage, redundancy, and monitoring are accounted for.
Our process is surgical, not additive. We keep 60% to 70% of the code that already works and replace only the parts that create risk or instability — without treating a working prototype as a disposable draft.
- Feature completion
- The features your prototype is missing before real users can rely on it.
- Security & compliance
- Access control, input validation, and data handling hardened.
- Scalable infrastructure
- Architected for concurrent real users, not demo conditions.
- Observability
- Logging, alerting, and monitoring live before launch day.
7 production readiness gates every launch audit checks.
Each dimension is scored prototype-ready or production-ready — no partial credit.
| Gate | Prototype | Production |
|---|---|---|
| Security | Basic access controls present. | Access control and input validation hardened. |
| Compliance | Not addressed. | Designed into the architecture from day one. |
| Scalability | Performs under demo conditions. | Architected for real load with failure handling. |
| Reliability | Works on expected inputs. | Tested against failure and concurrent load. |
| Observability | Absent. | Logging, alerting, and monitoring live pre-launch. |
| Maintainability | Written for speed. | Structured for extension and team continuity. |
| Customer Trust | Demonstrated in a controlled environment. | Earned through consistent performance at scale. |
9 deliverables in a prototype-to-production build.
Feature completion, hardening, and infrastructure — scoped from the audit findings.
Feature completion
The features flagged as missing or stubbed out in the prototype get built to the same standard as the rest of the product.
Billing & payment hardening
Real payment flows tested end to end — webhook verification, failed-payment handling, and subscription lifecycle events.
Security & access-control hardening
Authentication, session handling, and database access rules reviewed and locked down before real accounts exist.
Scalable architecture
Database indexing, caching, and service boundaries designed to hold up under concurrent real-user load, not demo conditions.
Load & failure testing
The app is tested against concurrent sessions and failure conditions before launch, not discovered by the first traffic spike.
Observability & monitoring
Error tracking, uptime alerts, and cost-ceiling alarms configured so issues surface before users report them.
Rollback & deploy safety
A tested rollback path and staged deployment process, so a bad release is a 5-minute fix instead of a multi-hour outage.
Legal & compliance pages
Privacy policy, terms of service, and data-handling disclosures put in place before the app processes real user data.
Production deployment
Full deployment to production infrastructure with documentation your team can follow to ship the next release without us.
Proof, not promises.
The same production-grade rebuild discipline behind every launch.
Full-Stack Rebuild · Legacy Migration · Cloud & DevOps
BeesApp: rebuilt for a 99.9%-uptime launch serving real users across Saudi Arabia
BeesApp needed to move past a system that worked in isolated tests but couldn't hold real market entry. We rebuilt the platform on Next.js, Flutter, and FastAPI: 120+ API endpoints, a 74% faster load time, and a 40% lower server cost — architected for the load a live market launch actually brings, not the load a demo simulates.
Read the case studyYour prototype proved the idea. We prove it holds.
A demo has to work once, in front of one audience, under conditions you control. Production has to work every time, for every user, under conditions you don't.
- 01
Surgical hardening, not a rebuild
We keep 60% to 70% of what already works and replace only the parts that create risk — your product logic and UX stay exactly as validated.
- 02
Gates verified, not assumed
Every readiness gate — security, scalability, observability — is tested and scored before we call it launch-ready, not signed off by assumption.
- 03
We tell you what to skip
We flag the polish that isn't a launch blocker as clearly as we flag what is, so your budget goes to real risk, not perfectionism.
- 04
Development and marketing under one roof
Once your product is live, the same team can run its SEO, paid acquisition, and growth marketing — no second agency has to learn it from zero.
How we take a prototype to launch.
5 phases, from audit to a documented, monitored production deployment.
Free launch audit call
30 minutes to walk through your prototype, your target launch date, and which of the 7 readiness gates concern you most.
No pitch, no obligationReadiness scoring
Each of the 7 gates scored against your codebase, producing a launch plan that separates real blockers from optional polish.
Blockers vs. polish, separatedComplete & harden
Missing features get built, security gets hardened, and the architecture gets restructured for real load — module by module.
60–70% of code preservedLoad test & verify
The app is tested under simulated concurrent load and failure conditions before a single real user hits it in production.
Verified before go-liveDeploy & monitor
Production deployment with monitoring live from minute one, plus documentation your team can extend without us.
30-day post-launch supportWhat a production build typically costs.
Fixed-price by feature scope and codebase size — confirmed after the free audit, never billed hourly.
- Investment
- From $399
- Scope
- Single-feature prototype
- Scoring
- All 7 readiness gates
- Output
- Launch plan, blockers vs. polish
- Commitment
- None — report is yours
- Investment
- $5,000–$20,000
- Timeline
- 3–8 weeks
- Scope
- Multi-feature SaaS prototype
- Work
- Feature completion & hardening
- Infra
- Scalable infrastructure
- Investment
- $20,000–$60,000+
- Timeline
- 8–16 weeks
- Scope
- Multi-tenant architecture
- Integrations
- Deep third-party integrations
- Compliance
- Requirements built in
Every launch comes gate-checked.
No launch without a scored readiness report across all 7 gates, delivered in writing.
- 7-gate readiness audit
- Security, compliance, scalability, and more, scored.
- Feature completion
- Missing or stubbed features built to full standard.
- Security & access-control hardening
- Authentication and database rules locked down.
- Load & failure testing
- Verified against concurrent real-user conditions.
- Monitoring & alerting
- Live from minute one of production.
- Rollback path
- A bad release is a fix, not an outage.
- Legal & compliance pages
- Privacy policy and terms in place before launch.
- Documentation & handover
- Your team can ship the next release without us.
Understanding the launch gap.
Direct answers to the questions founders ask before committing to a production build.
Rescue, or prototype to production?
AI app rescue fixes an app that is broken or failing; prototype to production completes and hardens an app that works but was never built for real users. A rescue starts from a codebase with active bugs, security exploits, or production incidents. A prototype-to-production build starts from a codebase that runs correctly but is missing the features, testing, and infrastructure production traffic requires.
Our launch audit determines which applies before any work begins — an app that is functionally correct but incomplete gets a production build, while an app with active failures gets a rescue first.
The biggest risks in scaling an AI-built MVP
Infrastructure cost spikes, unhardened security left over from the prototype stage, and a codebase the original team can't enumerate the technical debt in. MVP-stage infrastructure typically costs $5,000 to $20,000, while production-stage runs $40,000 to $200,000 or more per year once real traffic, redundancy, and monitoring are added — a jump that catches founders who scale without budgeting for it.
Five categories of scaling risk repeat: infrastructure scaling, security posture, data quality, cost growth dynamics, and output reliability under concurrent use. Changing one variable frequently breaks another that wasn't tested against it — which is why load testing happens before launch, not after.
Related services.
The rest of the vibe coding cluster and services a launch often leads into.
Vibe Coding Agency
The full cluster of AI app build, rescue, and migration services.
ExploreAI App Rescue
For apps with active bugs or security issues, not just gaps.
ExploreCloud & DevOps
Infrastructure, migration, and monitoring beyond a single launch.
ExploreDevOps Services
The CI/CD pipeline and rollback path behind every release.
ExploreQA Testing
The load and failure coverage a prototype usually lacks.
ExploreCybersecurity Services
Security hardening beyond the launch checklist.
ExploreSaaS Development
Where a launched product goes as it scales.
ExploreMVP Development
Building the first version rather than hardening one.
ExplorePrototype to production questions
The questions asked before every launch engagement — answered directly.
Yes. Hoop Interactive takes prototypes built on Lovable, Bolt.new, and Base44 to production — completing missing features, hardening security, and deploying on infrastructure built for real load. Every engagement starts with a Launch Readiness Audit scored against 7 production dimensions, so the exact scope is known before work begins.
If the app runs correctly but lacks security hardening, testing, or scalable infrastructure, it needs prototype-to-production work, not a rescue. A rescue applies when the app has active bugs, security exploits, or production incidents. The free Launch Readiness Audit tells you which situation applies before any pricing is discussed.
A Launch Readiness Audit starts at $399; a Standard Production Build runs $5,000 to $20,000; a complex or enterprise build runs $20,000 to $60,000 or more. Price is set as a fixed fee after the audit, based on how many features are incomplete and how much the architecture needs to change for real load — never billed hourly.
No. Our process is surgical, preserving 60% to 70% of the existing code and replacing only the parts that create risk or instability. Your validated product logic and user experience carry through the build unchanged unless a specific readiness gate requires modifying them.
No. A second or third feature, pixel-perfect design on every breakpoint, and scaling for 100,000 users are not launch blockers. The Launch Readiness Audit separates real production blockers — security, payments, monitoring — from polish that can wait until after real users provide feedback.
A Standard Production Build takes 3 to 8 weeks; a complex or enterprise build with deep integrations takes 8 to 16 weeks. Timeline depends on the number of incomplete features, the architecture changes needed for scale, and whether a compliance review is required before launch.
Yes. You own 100% of the code, documentation, and infrastructure after launch, with no ongoing dependency on Hoop to operate it. Handover includes full documentation, so your own team or any other developer can ship the next release without us.
Yes. Hoop Interactive runs software development and digital marketing under one roof, so the same team that launches your product can also run its SEO, paid advertising, and growth strategy. This removes the handoff to a second agency that has to learn your product from scratch before it can market it.