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Cutting MCP Round-Trips with Jev (Part 3)

That's where Jev comes in. From Parts 1-2 we know it's a fast, cheap "decision model": give it options and a question, and it returns one answer plus a confidence score - no long…

That's where Jev comes in. From Parts 1-2 we know it's a fast, cheap "decision model": give it options and a question, and it returns one answer plus a confidence score - no long text to generate. ... ``` Before: user → LLM picks route → find_* returns top-k → LLM picks → call real tool (ping-pon

Open source ↗ marketdx.hashnode.devcost-time-

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  1. 0616

    Jevstiller: distill Jev calls into a local model

    A self-hosted proxy that trains a local model on Jev's answers. It served 72% of Banking77 locally at 15 ms, with a 2% audit and a bound on disagreement.

    tomerglick57 · Tools & apps · 15 ms local

  2. 0611

    Scruple: code checks for what linters miss

    Semantic-aware linting with System One models: rules you can state in a sentence, checked against your code by Jev.

    @nalexpeae · Tools & apps

  3. 0606

    Algolia-style Postgres search with a Jev reranker

    Typo tolerance, typeahead, barcodes and facet counts in plain Postgres SQL, plus an optional Jev step that asks one question per top-10 result.

    @alex_forman1 · Tools & apps

  4. 0604

    Virtual Closet: outfits from closet videos

    built a virtual closet & outfit generator from raw closet videos. classification + semantic search thanks to jev 🥰. clueless closet dreams finally coming to life

    @maitreemervana · Tools & apps