Jev by TypeSafe AI joins the app — a System One model for AI traffic classification (beta)
AI Data Stream now runs a second kind of model alongside the frontier LLMs on your own keys: Jev, the first System One model from TypeSafe AI. Jev never generates text. You send it a state and typed questions, and it returns a choice from your options or a yes/no probability, with a calibrated confidence, in about a second. It runs on our key, not your BYOK LLM key, and the blog post explains what a System One model is, how it differs from an LLM, and how we validated it.
Its first job is an experimental, switch-it-on-yourself beta for Pro and Business teams. GA4’s new “AI Assistant” channel only catches visits that arrive with an ai-assistant medium. Perplexity, Copilot and untagged ChatGPT links land in Unassigned instead, next to your own subdomains, link scanners and referrer spam. When the beta is on, every traffic-source lookup gives those rows a second opinion from Jev.
- A real channel for Referral and Unassigned rows: AI assistant, self-referral, link scanner or tool, referrer spam, industry referral, search, social, email, offline or campaign tag — with a confidence score on every row
- An
is_ai_assistantflag your AI can total, so “how many sessions came from AI” finally includes the ones GA4 missed - GA4 stays the source of truth: below a confidence threshold the GA4 grouping is kept and the model’s guess is only noted; if the model is unavailable you get plain GA4 results, never an error
- Judged once, cached 30 days per source, so the extra second only applies to the first lookup of each source
- On/off in Team Settings → Beta Features (team owner, paid plans). Off by default. With it off, your AI mentions it once when your data has rows it could help with, with a link to the toggle