Jev analyzes 8,724 ad judgments in 40 seconds for 9 cents
Using typesafe-sdk, Jev made structured judgments on 724 live ads, returning fields like hook, CTA and awareness stage at a median of 216 ms per ad and a total cost of 9 cents.
724 live ads. 40 seconds. 9 cents. pip install typesafe-sdk That's Jev, the new model from TypeSafe. It doesn't write a single word. It only makes decisions, and it makes them in milliseconds. The demo: 37 brands, 8,724 judgments, median 216 ms per ad. Here is what it pulled from every ad in one run: → the hook and the format → the offer and the CTA → which awareness stage it targets → where the landing page breaks the promise of the ad Under the hood you get typed answers with a probability for every option. No broken JSON, no invented fields. And here is the part that got me: On TypeSafe's own benchmark it runs 193x faster and 444x cheaper than frontier LLMs. Input is $0.042 per 1M tokens. Output is free. Early access, API key after the waitlist. SDKs for Python and JS, MIT. The ad teardown itself is coming to StealAds and MCP. Link in the comments