Name: Rory Garton-Smith's post on X, curated on eChai
Uploaded: 2026-09-17T20:52:42+05:30
Description: I just built Easy-Jev, a Jev demo anyone can try right now! Change the inputs and watch the classifications change in real time. I did my master's thesis on classification models so it's fun to see...

Founder Notes

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Rory Garton-Smith wrote a master's thesis on classification models and built Easy-Jev so anybody can change the inputs and watch the classifications move in real time. The second half of the post is his own read of where this goes: break a statement into classifications and route each to the right kind of model.

Rory Garton-Smith 17 Sep 2026

I just built Easy-Jev, a Jev demo anyone can try right now!

Change the inputs and watch the classifications change in real time.

I did my master's thesis on classification models so it's fun to see a modernized version of a very useful alg

Typesafe are correct in that LLMs are just one approach to intelligence, and I think as time goes forward we’re going to see a hybrid of dif models splitting up and allocating correct parts of a problem, using less tokens overall and leaning on LLMs for less of the answer.

I’m bullish on what I call 'combination input' approaches: breaking a statement down into a series of classifications and routing each to the right type of model rather than just brute forcing the whole thing with an LLM

cc / @CompleteSkeptic @typesafeai

Link below, please enjoy

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Andre Landgraf's showcase of the yes/no gate, several worked examples at the link.

Andre Landgraf 2h

Ok, jev is really cool. So many great use cases where a fast and accurate yes/no gate can deliver meaningful performance gains.

Played around and built some showcase examples here →
safer-with-jev.com Safer with Jev
Curated from X →

Vipul Sharma's Minecraft agents ask Jev whether to fight or run, from what the agent can see, the mob count, its weapon and its health; one broke off mid-fight as the odds turned.

Vipul Sharma 2h

I hooked up Jev by @typesafeai to a few agents on my Minecraft world. Look at how Jev decides when they should fight and when they should run away.

Jev rates the odds from what the agent can see, mob count, weapon, how hurt it is, and runs away when they are bad. One broke off mid-fight as its odds turned.
Curated from X →

Mahmoud's simulation of fifteen autonomous drones through an asteroid field, Jev deciding for each in under 300 ms, all fifteen arriving.

Mahmoud 3h

Jev can control a swarm of 15 autonomous drones in real time!

I built a simulation to test it navigating an asteroid field:

• Decision latency: < 300ms
• Survival rate: 100% (all 15 reached the destination)

Built with @typesafeai by @CompleteSkeptic

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