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Jev directory

Jev Practices & Patterns

296 curated Jev entries. How to design Jev states, questions, and confidence gates the right way, from the official patterns to the failure modes worth designing around.

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All 296 Jev Practices & Patterns

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Showing 289–296 of 296 resources

Vercel CTO Malte Ubl reports that Jev beat an existing classifier eval previously run on Gemini 2.5 Flash Lite, saturating the eval on quality and running 6x faster.
Jev Practices & PatternsPost#community#x#evaluation
Community
A widely read counterpoint to Jev-based context compaction: compaction is reconstruction, not filtering, and scoring tool calls to drop history misunderstands context management.
Jev Practices & PatternsPost#community#x#compaction
Community
The WebMCP benchmark author reports that Jev paired with the small Mercury 2.5 model solved 100% of tasks at roughly 112x lower model cost than GPT-6 Astra with computer use.
Jev Practices & PatternsPost#community#x#benchmark
Community
The three TypeSafe question types, the typed answers they return, how to choose between them, and how to ask several in a single call.
Jev Practices & PatternsDocs#official#primitives#choice
Official
How TypeSafe reports certainty, how it differs from probability, and how to use it architecturally to gate and route decisions.
Jev Practices & PatternsDocs#official#confidence#routing
Official
Architectural patterns for System One systems: speculative fan-out, confidence-gated routing, composite scoring, and intent routing.
Jev Practices & PatternsDocs#official#patterns#architecture
Official
Design AI-powered software by keeping code in control and giving System One narrow, structured decisions to make.
Jev Practices & PatternsDocs#official#patterns#architecture
Official
Explore TypeSafe use cases by industry and turn promising ideas into concrete software workflows.
Jev Practices & PatternsDocs#official#use-cases
Official

Index of all 296 entries

Start here with the Jev AI model

Featured entries in practices & patterns.

The box question type: one bounding box per question, returned as four edges that are fractions of the image, plus confidence, with no criteria field and no not-found value.
Jev Practices & PatternsDocs#official#docs#vision
Official
Published evaluations of four automation workflows, security incidents, agent trace observability, invoice processing, and customer service, comparing Jev and frontier LLMs as structured workflows versus single prompts.
Jev Practices & PatternsDocs#official#benchmarks#evaluation
Official
9.3kGitHub stars
Apache-licensed, locally runnable Jev-style decision models (0.8B, 4B, 9B on Qwen3.5) with released weights, training code, a System One-compatible server, frozen eval suites, and a playground.
Jev Practices & Patterns#community#python#open-models

Jev AI model articles

Original guides that go deeper on Jev practices & patterns.

Jev's compaction tools keep or drop tool calls instead of summarizing them — the thresholds they fire at, the savings they report, and why 1.14's opt-in 262k context doesn't settle the choice.
Jev Practices & Patterns#compaction#long-context#coding-agents
Read article
Per-tick buy/sell calls on Monad, a five-sleeve Hyperliquid desk, Nifty-50 rankers, and Polymarket confidence gates: how the catalog's trading repos wire Jev in without asking it to predict prices.
Jev Practices & Patterns#trading#markets#gates
Read article
How the box question type turns a crop into a decision: four fractional edges, a presence Noul for missing targets, the cut-off problem, and two patterns worth building.
Jev Practices & Patterns#vision#box#patterns
Read article

From the Jev community

Watch walkthroughs, read the threads, and see what builders are posting.

YouTube: A podcast segment on TypeSafe AI, its $40M raise, and the Jevons paradox behind the name.

YouTube: Gary Explains the catch: Jev understands natural language but answers with structured values and confidence.

YouTube: Sam Witteveen on System 1 thinking, then Choice, Score, and Noul demos, and chained actions.

Hacker News: Pipeable onesie CLI with shell-safety exit codes and a calibrate mode over labelled commands.

frodikarlsson3 pointsShow HN: onesie – An expressive Unix-pipeable CLI for System One models like JevRead the thread on Hacker News

Hacker News: Spoken-language learning with video scenes branching on TypeSafe Jev.

j_rcht1 pointShow HN: Worklaude – learn by speaking; video scenes branch on TypeSafe JEVRead the thread on Hacker News

Hacker News: OpenAI's Luna Decisions API framed as a fast follow to TypeSafe's Jev wave.

matt_d6 pointsOpenAI Answers TypeSafe's Jev with a Decision API Built on LunaRead the thread on Hacker News

Hacker News: Nikola Balić on what made the Jev launch easy to try and easy to share.

nkko2 pointsWhat TypeSafe Got Right with the Jev LaunchRead the thread on Hacker News