All notesModelsArah AI

Why we switch models, and when we do not

A better model ships almost every month. We test each one on real work and switch only when it wins.

An isometric line drawing of a phone wired to the client's own system

A better model ships almost every month. Chasing each launch means rebuilding on every announcement. Ignoring them means your system ages while the field moves. Neither is a strategy.

Test on the work, not the leaderboard

A new model is tested on the work the system actually does. It replaces the current one only when it wins there. A launch post is not a reason to switch.

We test each one on real work and switch only when it wins.

No bet on one vendor

We build on whichever model wins, across Claude, OpenAI, Gemini, AWS Bedrock, Llama, Mistral, Qwen and Kimi. Your system is not tied to one lab's roadmap, so you never bet on the wrong one.

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