What changed
TypesSafe AI launched Jev on September 15, a new type of AI model that doesn't write text. Instead, it answers structured questions with probabilities: is this email urgent, which category does this order belong to, should this support ticket go to billing or technical. It responds in 70 to 500 milliseconds — compared to 3 to 329 seconds for frontier models like ChatGPT or Claude. TypeSafe prices it at 4 cents per million input tokens with output free, versus 20 cents to 10 dollars per million for standard AI models. Three weeks after launch, the company raised 870 million dollars at a 7.5 billion valuation, led by Andreessen Horowitz. A third of Fortune 500 companies are reportedly already testing it.
What you can do with it now
Look at any task where you're using ChatGPT or Claude to make the same decision over and over: sorting incoming customer emails by urgency, tagging orders by product type, deciding whether a support message needs a person or can get an automated reply, checking if a receipt matches your records, flagging invoices that look wrong. If the answer is always a category, a score, or a yes-or-no, that's a Jev task. You can access it through Cloudflare Workers AI or the TypeSafe API. Start with one repetitive decision task that runs at least 50 times a day. Run Jev and your current tool side by side for a week, compare the answers, and measure the speed and cost difference. If Jev gets it right 95% of the time or better, switch that task over and pocket the savings.
What to keep in your own hands
Jev is built for decisions, not explanations. It won't tell you why it chose an answer or write a response to a customer. If you need the AI to explain its reasoning or draft a message, you still need ChatGPT or Claude. Jev also launched with no published pricing tiers, no standalone pricing page, and access through a waitlist — which means the 4-cent price could change as the company scales. Don't build your entire workflow around a launch price until you see stable pricing for at least six months. And remember: fast and cheap doesn't mean accurate. Test it on real data with known answers before you trust it with live customer work. Speed matters, but only if the decision is right.