6 agents · 8 models configured

What do you need?

Say it in your own words. Cannon scores it against every desk's vocabulary, picks a model for the shape of the request, and shows you both before anything runs.

Agents

Each desk has its own prompt, tools and retrieval scope. None can read another's data. If none of them fits, describe what you need above and Cannon will build one.

Providers

A pick moves that model to the front of the fallback chain. The rest stays behind it.

Groq

Custom inference hardware. Owns the time-to-first-token budget.

Google

A different vendor entirely, so an outage here is uncorrelated.