frontend-design-pro vs Wattfare

A skill pack an AI coding agent loads while it writes frontend code. It routes one of 19 skills per request, holds the output to 61 machine-checked constraints, and ships...

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

About frontend-design-pro

A skill pack an AI coding agent loads while it writes frontend code. It routes one of 19 skills per request, holds the output to 61 machine-checked constraints, and ships only when all 11 gates pass. Route a request and run the checks in your browser. The lit mark is landing-pages/landing-patterns.md, the reference this pack loads to build a page like this one. Behind the router sits 436,284 tokens of reference depth, material every skill can point into, none of it loaded until a request routes there.

About Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.