Preseason vs Wattfare

We track which developer tools AI models pick across a frozen panel of vibe-coding prompts at every level, from beginners to expert engineers.

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

About Preseason

We track which developer tools AI models pick across a frozen panel of vibe-coding prompts at every level, from beginners to expert engineers. Define data-model boundaries, asynchronous processing for long-running work, observability, and a deployment and migration strategy that supports schema evolution without downtime. Enforce role-based separation between shoppers, support agents, and operations staff. Add observability for prompt, retrieval, latency, and failure traces, plus evaluation pipelines that score groundedness, escalation correctness, and regression risk before prompt or model changes are shipped.

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.