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Jev AI: The No-Text Decision Model Making AI Agents 25–95x Faster (and Cheaper)
The script explains Jev AI from Typesafe AI, launched Sept 15, 2026 by founder Diogo Almeida (ex-OpenAI, linked to RLHF/InstructGPT), positioning it as a “system one” model that doesn’t write text and instead chooses from provided answer lists with a calibrated confidence score, enabling rapid, low-cost decisions. It cites Typesafe benchmarks across 711 business cases where Jev matches mid-tier frontier accuracy (~67.8% agreement) while running far faster and cheaper, while noting the caveat that “correct” answers were derived from other models. Independent and user tests are described, including Every’s 777 judgments in under 0.7 seconds for about a quarter cent, a NearHere moderation test reporting 96% accuracy, and a voice-browser demo leveraging Jev’s parallel batching to answer many questions at once. The script highlights reduced hallucination risk via constrained choices, RLCD calibration, ideal use cases (routing/scoring/sorting), limitations (no writing/explanations), pricing details, integrations, and a promotion for the AI Profit Boardroom training.
00:00 Why Jev Matters
00:24 Meet Typesafe AI
01:01 How Jev Works
01:57 System One Thinking
02:41 Speed Benchmarks
03:11 Evals and Caveats
04:42 Independent Tests
06:21 Parallel Batching Trick
07:17 Voice Browser Demo
07:52 Boardroom Plug
08:39 No Hallucinations
10:11 Confidence Dial
11:23 Mirror Outfit App
13:16 Jevons Paradox
14:15 Where Jev Fails
15:06 How to Build
16:19 Boardroom Offer
17:11 Wrap Up
Дата на публикация: 22 септември, 2026
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