Core AI workflow
The product's main AI moment scoped around a user problem, not a novelty demo.
Subscriptions and paywalls
RevenueCat or Stripe subscriptions, trials, receipts, and paid conversion flow.
Analytics and retention
Activation, paywall, AI usage, retention, and churn events wired from day one.
App Store execution
Screenshots, copy, privacy answers, TestFlight flow, and App Store submission support.
The Problem
AI made demos easy. It did not make products easy.
Most founders do not get stuck because they cannot generate more screens. They get stuck because the product needs pricing, onboarding, retention, analytics, cost control, App Store review, and decisions about what deserves to ship.
The 30-day launch path
- 1Nail the paid promise, target user, core AI workflow, and v1 scope.
- 2Build onboarding, accounts, primary UX, AI integration, and product logic.
- 3Wire subscriptions, analytics, retention hooks, AI cost controls, and launch assets.
- 4QA the release, prepare store submission, hand off the repo, and map the next experiments.
FAQ
What is an AI product launch sprint?v
An AI product launch sprint is a fixed-scope build that turns a validated AI idea, prototype, or workflow into a launch-ready product with UX, AI integration, monetization, analytics, store assets, and handoff included.
How is this different from hiring developers?v
Silpho is not a body shop. The sprint is founder-led and outcome-based: we help decide what to build, what to cut, how the product makes money, and how it gets through the App Store with production systems in place.
Can Silpho rescue a product started in Lovable, Cursor, or another AI builder?v
Yes. AI builders are useful for starting quickly, but many founders get stuck when the demo needs subscriptions, onboarding, analytics, infrastructure, AI cost controls, and store approval. Silpho can triage the existing build or rebuild the critical path.
What do I own after the sprint?v
You own the repo, infrastructure, store assets, analytics setup, product docs, and launch playbooks. There is no platform lock-in or required ongoing retainer.
Sitting on an AI demo that should be a business?
Bring the prototype, the idea, or the messy repo. We will tell you what can launch, what should be cut, and what it takes to make the product revenue-ready.