
JEV Breakdown: The First AI Model Built For Code
Walks through the Choice, Score and Noul primitives live in the TypeSafe playground, with speed and cost numbers and their caveats.
Recorded walkthroughs and explainers, including launch coverage in Japanese, Chinese, Korean and Portuguese. Most run under twenty minutes and cover the same ground: what a typed decision is, what it costs, and when you would reach for one instead of a chat model. View counts are whatever the platform reported on the day the entry was added.
26 videos
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Walks through the Choice, Score and Noul primitives live in the TypeSafe playground, with speed and cost numbers and their caveats.

CJ from Syntax explains what Jev is, how it works, and walks through several use cases and demos. 17 minutes.

Technical breakdown of schema-constrained output, RLCD, the Doom and Wikiracing demos, and pricing. Lists limits including the 255-option cap on Choice and the absence of public benchmarks or released weights.
85k viewsLatency 70-500 msChoice cap 255 options

Video Tetris benchmark: Laya-MLX runs fast on a MacBook at about 84ms per decision but loses to Jev in all three rounds.
73k viewsLaya latency ~84 msResult Jev won 3/3

Walks through the launch video, why decision models need to exist, and how they differ from LLMs in use. 15 minutes.

Tests Jev on the creator's own inbox, classifying 100 then 1,000 emails by category, priority, spam and reply-needed at around 200ms average response time. Ends by checking the actual bill.
67k viewsAvg response time ~200 msSpeed claim tested ~200x

Runs Jev through support routing, refund detection, a prompt-injection attempt, exact-value selection, agent auditing and browser automation, with evaluation times as low as 92ms. Notes constrained outputs do not guarantee correct answers when the option list is incomplete.

Hands-on test of Jev through the TypeSafe console with commentary on where it fits. 17 minutes.

30-second Snake benchmark: a local 421M Laya checkpoint scores 46 at 86.5 decisions per second, while Jev 1.13.0 over the cloud API scores 1 at 3.2 decisions per second.
24k viewsLaya speed 86.5/sJev speed 3.2/s

Breaks down the side-by-side against GPT-5.6 Terra, the 193.6x faster and 444.6x cheaper workflow evals, and the 0% type-error chart. Covers the Doom and Wikiracing demos.

Examines the speed and cost claims and what the published benchmarks show, noting Jev competes on some tasks and falls well behind on others. Clarifies the zero-hallucination claim covers output structure, not decision correctness.

Explains the autoregressive latency floor set by memory bandwidth per token and how a single-pass architecture bypasses it. Covers the Kahneman framing, calibration and the Jevons Paradox naming.

Short introduction to Jev focused on RLCD, Reinforcement Learning for Calibrated Decisions, as the training method behind the model.

A maze demo comparing decision latency: local Laya on a base M5 responds at a 19ms median, versus roughly 300ms from Jev's cloud API for the same task.

Livestream coding session against the Jev API, plus discussion of network architectures that could produce this kind of JSON predictor model.

Podcast segment covering the launch, the $40M raise, Almeida's path from RLHF to RLCD, and the 70-500ms response times. Explains the name as a nod to Jevons Paradox.

Video benchmark where Jev wins outright as a cloud model, while a self-built JAX model ties with Laya-MLX among the local, on-device options.

Video demo from Inception's Mercury Decide launch post, showing it playing Jev at chess. Inception claims up to 14 decisions per second and the top JevBench v1.4 spot on OpenRouter; neither was independently run.

Custom Snake benchmark comparing Jev over the API against locally run Laya-MLX and Kev-4B: Jev had zero deaths, Kev died twice at about 175ms latency, and Laya died early despite roughly 33ms latency.

Three real console calls with animated diagrams comparing Jev latency against Gemini.

A video benchmark where local Laya beats API-hosted Jev 43-1 in Snake with wifi off: 86.4 decisions per second at 9.2ms P50 latency for Laya against 3.2 decisions per second at 308.7ms round trip for Jev, same schema and seed.

21-minute video scoring seven open-source Jev-family models on JevBench, ending with Laya, and noting write-ups conflate the multilingual 322M checkpoint's 1k context with the 421M English checkpoint's 512.

Video of a Unity scene running Laya locally as a tic-tac-toe opponent, using receptron's ONNX export of the model through asus4's onnxruntime-unity plugin.

A video of Jev and Laya fighting a 1v1 Doom deathmatch with monsters between them, first to five kills wins. Jev's calls were sharper and needed fewer corrections, but Laya decided twice as often and won 5 to 1.

Video demo of Pac-Man controlled entirely by typed decisions from Laya-MLX running locally on Apple Silicon: 351 steps, a win, and 224 guardrail interventions logged.

Video demo of a harness for playing Overcooked: a planning model builds a live understanding of the level while Jev agents make decisions in real time.
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