Deciding with Jev AI

Nathan Flurry's post on X, curated on eChai

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    Nathan Flurry is a co-founder of Rivet. This is the explanation most people ended up passing around, and it is worth reading whole: what Jev cannot do, what it can, and the shape of workflow it fits.

    Nathan Flurry Nathan Flurry

    hype-free explanation of jev:

    jev does not replace gpt / claude

    jev is just a *really* smart switch statement

    like if 2016 ml classifiers got 2026 levels of intelligence

    it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate

    * = and by new, i mean rebranded

    ~~~

    it needs a predefined set of options and it will tell you which one to take

    it cannot:

    - write code
    - generate natural language
    - reason step by step / show its work
    - produce any output you didn't define in advance
    - pick from more than ~255 options in one shot

    but it can:

    - classify, route, score, rank
    - give confidence
    - pick the right branch, tool, model, or sub-agent
    - judge / verify / guardrail an llm's output
    - label tons and tons of rows

    ~~~

    i'd imagine a lot of workflows that look like:

    llm proposes options → jev decides → code executes

    and i see this fitting *really* well with code mode and mcp

    ~~~

    implying this will lead to agi seems incredibly far fetched to me, but i don't want to discount the types of applications that this will make possible

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