Radar Rising Jev Use casesCases MethodSubmit

Close

×

Radar

Missed a build?

Paste an X post or GitHub repo we missed. It is reviewed first, then scored by the normal pipeline.

X or GitHub URL

𝕏Built by @psingh

Loading

Independent radar of Jev builds, experiments and use cases — scored by Jev, not by likes. Not affiliated with TypeSafe AI.

Built by @psingh

Explore

Jev Radar
Rising
How Jev works
Jev use cases
How Jev Radar works

Use cases

Routing
Classification
Agents
Search & Retrieval
Developer Tools
Automation

Elsewhere

TypeSafe AI
Follow me on X

1449 published builds · 6019 buildersBuilt with Amp · © 2026 Jev Radar

CHOOSEData & productivity

10k Danish call transcripts, analyzed inside @Snowflake in three ways: 🚀 @typesafeai Jev: 9.1s

Anders Boje@anders_boje

Video preview

4:14

Original post ↗

Sep 22

36 views on X · does not affect score

10k Danish call transcripts, analyzed inside @Snowflake in three ways: 🚀 @typesafeai Jev: 9.1s / $0.31 ❄️ AI_SENTIMENT + AI_CLASSIFY: 139s / $34.3 ❄️ AI_COMPLETE (gpt-5): 183s / $15.62 💣 #Jev 15–20x faster. 50–110x cheaper. More info: lnkd.in/p/eU3ScZXr x.com/anders_boje/status/21023496575735727

Use cases

Classification

Related builds

Jev Model Asymmetry Analysis

This project analyzes the Jev model's behavior, revealing that natural language wording induces a significant conviction asymmetry between buy and sell sides, while the model itself is symmetric when presented with symmetric prompts.

Dan Holzrichter@dholzric

83 views on XJev score 79

TypeSafe Computer Use

This project enables a Mac to achieve plain-English goals by combining OCR and the Accessibility tree to drive actions, avoiding large model loops for screenshots.

Yash Chaudhary@YashChaudhary

4 views on XJev score 78

Jev Decision Model Evaluation

Jev, a decision model from TypeSafe, was tested on standard AI problems, answering structured questions with probabilities and performing comparably to or better than other models on single-step tasks, but struggled with sequential reasoning without state information.

Nikhil Deshpande@nikhdesh

113 views on XJev score 76

Project photo 1

PostgreSQL Extension for TypeSafe AI Jev Integration

This project is a PostgreSQL extension that allows SQL queries to directly call TypeSafe AI's Jev for classifying rows within a database table, avoiding the need to export data for external processing.

giulio@giuliosmall

4.4K views on XJev score 76

Quality57

NoveltyiHow surprising the Jev use is versus an obvious typed-decision call. Generic mentions score low; a new primitive scores high.47
UsefuliHow reusable the technique is for another builder. Toys score low; a production-quality idea scores high.58
SubstanceiHow much concrete evidence supports the claim: code, numbers, demo, architecture. Hype scores low.70

Quality is Jev’s judgment of the idea. Likes, reposts and views do not affect it. Relevance is a separate gate.