AI Coach.
The right skill and the right model, chosen for you.
AI Coach: The right skill and the right model, chosen for you.
AI Coach helps teams building with AI make two decisions well: which capability to install, and which model to run it on. It is a marketplace of vetted skills and MCP tools you can search and install, paired with model comparisons and bakeoffs that replace leaderboard-chasing with a choice grounded in your task.
- Teams standing up an AI stack who do not want to guess
- Engineers evaluating models beyond the leaderboard headline
- Anyone assembling skills and MCP tools they can trust
Why it exists.
The AI tooling space moves faster than any team can track. New skills, new MCP servers, and new models land weekly, most of them undifferentiated and some of them unsafe. Teams either freeze on the last thing they read or chase the largest number on a leaderboard, which is rarely the model that fits their task. The missing piece is curation with a point of view.
The capabilities, plainly.
Search vetted skills
Find AI Coach skills and MCP tools by what they do, not by who marketed them loudest. Curation with a point of view.
Install in one step
Adopt a skill or tool into your workflow without hand-wiring it. The plumbing is handled.
Compare models honestly
Side-by-side model comparisons on the axes that matter: capability, latency, and cost, rather than a single headline benchmark.
Model bakeoffs
Run the same task across candidate models and read the result, so the choice is grounded in your workload instead of a leaderboard.
Browse the marketplace
A growing catalogue of MCP servers and curated products, so the next capability is a search away instead of a research project.
- MCP
- Direct LLM integration
- Model evals
- TypeScript
- How is this different from a model leaderboard?
- A leaderboard ranks models in the abstract. AI Coach compares them against your task and pairs the choice with the skills you would actually run, so the answer is usable, not trivia.
- Is it tied to one model provider?
- No. The point is to help you pick, so it stays provider-neutral and compares across the field.