AI app launch & production readiness

Built your app with AI? I’ll help make it ready for real customers.

If Lovable, Bolt, Replit, Base44, v0, or another AI builder got you to a working MVP, I can handle the gap between “it works” and a product people can confidently understand, sign up for, pay for, and use.

Lovable · Bolt · Replit · Base44 · v0 · Custom AI-built apps

AI app launch dashboard showing product readiness, customer flow, analytics and launch optimization
Launch readiness From generated MVP to customer-ready product
Founder-friendly Clear priorities without a long agency process
Fixed-scope sprints Start with the highest-value launch blockers first

The last mile is usually the hard part

An AI-built app can look finished long before it is ready for customers.

AI builders are excellent at getting an idea into the browser quickly. The remaining work is usually less glamorous: removing friction, connecting the right systems, measuring what users do, and making the important flows dependable enough for a real launch.

  • 01Visitors reach the product but the positioning, CTA, or pricing does not make the next step obvious.
  • 02Signup, onboarding, booking, payment, or lead capture works inconsistently or creates unnecessary friction.
  • 03Analytics and conversion tracking are missing, so you cannot see where prospects stop or which channels work.
  • 04The product needs APIs, integrations, automation, SEO, performance work, or production checks beyond what the AI builder handled.

AI App Launch Sprint

Fix the launch blockers that sit between a working MVP and a usable business.

01

Conversion & product clarity

Tighten positioning, calls to action, pricing presentation, trust signals, landing flows, and the path from visitor to signup or enquiry.

02

Signup, onboarding & payments

Improve account creation, forms, booking, checkout, payment flows, onboarding steps, and the customer journey after signup.

03

Analytics, SEO & launch tracking

Set up or repair GA4/GTM, conversion events, search indexing, technical SEO, metadata, and the measurement needed to learn after launch.

04

APIs, automation & technical fixes

Connect external services, Supabase or other backends, webhooks, email/CRM workflows, AI APIs, and custom logic the generated product still needs.

AI app launch audit dashboard showing conversion, onboarding, analytics and technical issues moving from warnings to fixes

A focused launch process

Start with the product you already built. Fix the most important gaps before adding more features.

The goal is not to rebuild your product. It is to identify what prevents a real customer from understanding, trusting, buying, or successfully using it.

  1. 01Review

    Use the product like a potential customer

    I review the important public journey: positioning, responsive experience, calls to action, signup, payment, booking, forms, and the obvious technical handoffs.

  2. 02Prioritize

    Choose the few fixes that matter most

    You get a focused scope instead of a long generic audit. We prioritize the issues most likely to block launch, measurement, conversion, or dependable use.

  3. 03Implement

    Fix the product, not just the presentation

    I implement the agreed front-end, backend, analytics, API, SEO, payment, automation, or workflow changes within the sprint scope.

  4. 04Verify

    Test the important customer journey again

    After the fixes, I retest the relevant flows and confirm what changed so you have a clearer foundation for launch and continued iteration.

AI-built MVP moving through audit, optimization and launch into a customer-ready product

Keep what AI already gave you

Review · Prioritize · Implement · Verify

Keep the speed AI gave you. Add the judgment and implementation needed for production.

I work with the product you already have and focus on the gaps that matter. That can mean a conversion fix, onboarding improvement, tracking setup, API integration, payment correction, automation, technical cleanup, or a combination of small changes that make the product more dependable for real users.

  • Lovable
  • Bolt
  • Replit
  • Base44
  • v0
  • Supabase

When this is a good fit

Best for founders who already have a working MVP and now need to launch, start charging, or improve the customer journey.

A focused first sprint is typically suitable when the app already exists and you can point to the main user journey you want improved. Small launch sprints often fall around $250–$400 depending on scope; larger integrations or backend work are estimated separately.

Send the live URL and what you want the product to achieve. I can start by identifying the highest-value launch blockers rather than proposing a rebuild.

Frequently asked

Questions before an AI App Launch Sprint

Will you rebuild my app from scratch?

Usually no. The point of the sprint is to keep the useful work you already have and improve the specific areas that are blocking launch, conversion, measurement, integrations, or reliable use.

Can you help an app built with Lovable, Bolt, Replit, Base44, or v0?

Yes. The exact work depends on the stack and access available, but I can work across the customer-facing product, APIs, analytics, SEO, integrations, automation, and supporting web code where the platform allows it.

Can you help with Supabase or API integrations?

Yes. I can review and implement supported API, webhook, authentication, data-flow, and Supabase-related work when it is part of the launch requirement.

Can you guarantee customers or revenue?

No. I can improve and implement the product, tracking, conversion flow, and launch foundation, but I do not promise a specific number of customers, leads, or revenue.

How much does a Launch Sprint cost?

A small focused sprint commonly starts around $250–$400 depending on the fixes involved. I confirm the scope and fixed price after reviewing the live product and the outcome you need.

What should I send you?

Send the live app URL, the main customer action you want people to take, the current problem, and any relevant access or stack details. I will identify what I would investigate first.

Primary next step

Your AI builder got you to version one. Let’s make version one ready for customers.

Send the live product and the customer journey you want improved. I will focus the first sprint on the highest-value launch blockers instead of adding features for the sake of it.

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