Deciding with Jev AI

David Fant's post on X, curated on eChai

  • Explainers

    Curated from X →

    David Fant, on how an agent gets ten times faster and cheaper with Jev in it: routing, computer use, action review, and subagent orchestration, each pointing at somebody's demo.

    David Fant David Fant

    jev will make agents 10x faster and cheaper, here's how:

    1/ model routing: pick the right model for each task, without training a custom router
    https://x.com/mdlahfir/status/2100314182201802811?s=20

    2/ computer use: faster, cheaper and more reliable for action-heavy tasks
    https://x.com/gregpr07/status/2100411066966749359

    3/ auto review: ask jev whether an action is safe, instead of using a slow and expensive LLM
    https://x.com/fazxes/status/2100300097695232164?s=20

    4/ less obvious: subagent orchestration

    long-running agents (cursor projects, grokbot, energy) parallelize work with subagents.

    but every user message, email, or subagent reply can wake the expensive orchestrator.

    example: it costs $1 to wake up gpt 6 astra w 100k input tokens

    jev can decide what each event needs:
    - route directly to a subagent
    - queue for later
    - wake the orchestrator

eChai Partner Brands The partnership →