Semantic search over GitHub's Terms of Service: one request ranks all 218 lines with a Choice while a Noul checks whether the document contains an answer at all, including when it should say no.
Cookbooks & Demos·#official#cookbook#search
Official
A two-stage extraction cascade: a mini model extracts, a Noul battery verifies each field in one request, and a 0.7 gate escalates to a reasoning model, sitting on the cost/quality frontier.
Cookbooks & Demos·#official#cookbook#extraction
Official
Turn natural language into typed function calls: closed-set arguments become Choice questions, optional ones become Noul questions, and 54 questions ship in one request for a trading assistant.
Cookbooks & Demos·#official#cookbook#tool-calling
Official
Decide which of 450 candidate product pairs from two beer catalogues describe the same entity: one three-level Score per pair splits 40 merges, 50 curator reviews, and 360 non-matches.
Cookbooks & Demos·#official#cookbook#entity-matching
Official
Catch wrong and hallucinated citations against RFC 7519 with a string match plus one Choice question: four accurate citations verified at 0.93 or more and all four planted failures caught.
Cookbooks & Demos·#official#cookbook#citations
Official
A repeatability study: an 8-question moderation rubric run 15 times per condition shows a mean probability standard deviation of 0.0098, and a 0.60 uncertainty gate lifts agreement to 99.2%.
Cookbooks & Demos·#official#cookbook#consistency
Official
A 14-Noul claims-triage rubric over one insurance claim, repeated 15 times: mean probability standard deviation of 0.0102 at 111 ms per call, with a 0.30 to 0.70 band for human review.
Cookbooks & Demos·#official#cookbook#consistency
Official
Extract dates by asking seven Choice questions about a date's shape and parts, then resolving them in code: five of six examples auto-accepted and missing dates flagged at 0.46 confidence.
Cookbooks & Demos·#official#cookbook#extraction
Official
Score retrieved passages with four Noul questions each, then route in code: prompt injections dropped, false premises kept as conflicts, and evidence assembled separately for the generator.
Cookbooks & Demos·#official#cookbook#search
Official
Rank 182 agent skills in one request and re-read the top three in a second: over 488 requests, wrong skill loads fell from 16.8% to 7.3% and needless loads from 9.8% to 4.0%.
Cookbooks & Demos·#official#cookbook#agents
Official
Reconstruct Markdown from unformatted text in two requests: 16 Noul line-pair questions stitch split sentences, then 62 questions classify each block's type and companions.
Cookbooks & Demos·#official#cookbook#formatting
Official
Turn wine tasting notes into 67 numeric columns for a CatBoost regressor: five rounds of reading its own errors cut held-out RMSE from 3.09 to 1.77 across 800 unseen reviews.
Cookbooks & Demos·#official#cookbook#research
Official
Regex finds candidate emails, phone numbers, and amounts; Jev picks the requested span so code copies a verbatim value that cannot be invented, with no free-text extraction required.
Cookbooks & Demos·#official#cookbook#extraction
Official
An experimental controller that has Jev choose NES inputs to play Super Mario Bros. from structured emulator telemetry instead of screenshots, logging every decision with probabilities and latency.
Cookbooks & Demos·#community#python#games
A camera-only MuJoCo quadrotor that uses Jev for tactical maneuvers at 2.5 Hz while classical perception and a 50 Hz reflex layer keep safety outside Jev, clearing a five-station course.
Cookbooks & Demos·#community#python#robotics
A video demo of a bot that asks Jev to decide buy or sell from a live price feed, then places real orders on Kuru's on-chain order book on Monad every 300ms block.
Cookbooks & Demos·#community#x#video
Community
vogel ran Jev over 1,500 of his own emails to test classification quality and posted the results as a video, calling it the most impressive model he has tried for the task.
Cookbooks & Demos·#community#x#video
Community
Kyle Jeong's demo of browser use with Jev and Stagehand: the accessibility tree is the state, actions are the questions, and one remote-browser task cost $0.001 at near-instant speed.
Cookbooks & Demos·#community#x#video
Community
dax previews how fast browser use can be with Jev as the decision layer and OpenCode's browser-use CLI, quote-posting a demo video of the loop in action.
Cookbooks & Demos·#community#x#browser
Community
Gojiberry's Romàn reports scoring 700 high-intent leads and personalized outreach messages in 40 seconds for $0.09, with confidence scores and lead-message mismatch detection.
Cookbooks & Demos·#community#x#video
Community
A 33-second demo clip captioned "when a designer gets access to Jev", among the most-liked organic Jev posts, showing a polished interface built on top of typed decisions.
Cookbooks & Demos·#community#x#video
Community
The jevmeter author runs five yes/no questions per sentence across a debate: 1,191 Jev calls, 1.18M tokens, 415 ms median latency, and $0.0497 for the full run.
Cookbooks & Demos·#community#x#video
Community
A 13-question regulatory briefing that shows batching every question into one call is 12.2x cheaper and 10x faster with no change in answers.
Cookbooks & Demos·#official#cookbook#batching
Official
One question per query-candidate pair raises top-1 accuracy from 5% to 18% and top-10 accuracy from 38% to 62% on 40 CLERC legal queries.
Cookbooks & Demos·#official#cookbook#reranking
Official
Screen every message going into and out of an LLM app: a Noul describes possible hazards, a Score rates severity, and code thresholds the probabilities.
Cookbooks & Demos·#official#cookbook#guardrails
Official
Classify documents through deep patent, retail product, biomedical, and source-code hierarchies using parallel beam search over Choice probabilities.
Cookbooks & Demos·#official#cookbook#classification
Official
Classify SEC annual reports into 75 industry groups with one Choice each, then read confidence to decide when to fall back to a broader division.
Cookbooks & Demos·#official#cookbook#classification
Official
A smart home assistant that uses TypeSafe to evaluate user requests, pick a tool, and fill its arguments from plain language.
Cookbooks & Demos·#official#demo#tool-calling
Official
