How to charge credits for AI features
Price a named tool on the server. Gemmein reserves the credits and settles at real usage.
Read the answerAnswers
Practical answers for
building an AI product.
The real questions that come up when you take an AI app to paying customers, answered clearly, with the code and a prompt you can paste to your coding agent. Useful whether or not you use Gemmein.
Store your OpenAI key server-side
Keep the provider key off the browser. Paste it once, and the app calls a named tool by name.
Read the answerPasswordless auth for an AI app
One-time email codes, no passwords, and seven server-enforced rules that keep customers apart.
Read the answerThe backend for a vibe-coded app
Keep your front end. Add sign-in, protected data, payments, and server-side AI to reach real customers.
Read the answerRow-level security in plain English
What RLS means, why SQL policies are easy to get wrong, and the seven server-enforced rules that replace them.
Read the answerRate-limit AI usage per user
Cap usage with credits: a customer only runs what they hold. Plus access gates and built-in abuse limits.
Read the answerHow to monetise AI features
Sell credits that tools spend, or gate premium tools behind a paid plan. Stripe end to end, into your own account.
Read the answerLaunch an agentic product
Your agent is the implementation; Gemmein hands it a signed run with a credit ceiling and seals the result to the customer.
Read the answerSee the whole picture
Auth, data, payments, credits, AI, and relays, and how the customer side fits together.
Explore the productThe builder guide
The machine-readable contract your coding agent reads to check fit and build against the real rules.
Read llms.txtSee if Gemmein fits your app.
Point your coding agent at docs.gemmein.com/llms.txt and ask it to confirm the fit before it builds.