An AI vs Wattfare

Capture real user feedback with screenshots, DOM, and console context your coding agent can act on.

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

About An AI

Capture real user feedback with screenshots, DOM, and console context your coding agent can act on. No feedback Shipped work waits here until it is released. A screenshot, DOM snapshot, and console log are auto-captured in the background. The Skill gives your agent the workflow; MCP and the CLI provide feedback data and status actions. Then run /makethisbetter pick to inspect the original evidence, claim the feedback, and start the fix (right) . The widget lets them report the problem on the spot, and your agent takes over.

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.