Jev on X
The model arrived with a launch post and no tutorial, so the explaining happened in public. These are the posts that mattered — the vendor's own announcements, the platform confirmations, the benchmarks people ran, the first-week sceptics — each described in a sentence of ours and linked back.
42 posts described Likes read 2026-09-23 The projects behind them: builds
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@gregpr07 · video
Browser Use + Jev searched a flight in seven seconds
The most-liked post in the whole list, and the one behind the browser-use repository we already cover: a flight search in seven seconds for under half a cent. Author's numbers.
7 s the flight search in the clip, and $0.0039 for it the post's own text
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@altryne · image
A Claude plugin that trims tool results with Jev
The most-liked post here: Jev working as a plugin inside Claude, for review work. The interesting part is the shape rather than the excitement — a large model writes, Jev decides.
1 s one review pass over a Claude session, 1M → 86K tokens the post's own text
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@NathanFlurry · post
Jev does not replace GPT or Claude
The most-liked explanation in this list, and the only one whose opening move is to say what Jev does not replace. Start here if the rest of the column reads as enthusiasm.
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@akshay_pachaar · image
Jev clearly explained: what it is and what it is not
The most-liked thing we have read from the second wave — over five thousand likes — and it is an explainer rather than a benchmark: why using a language model for a bounded decision is a hammer, and what the alternative looks like when you only need a choice.
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@moritzkremb · image
The coolest Jev projects on X, in one thread
A curated thread of Jev projects from X: the same instinct as this column, by somebody reading the same timeline. Overlaps our builds list and belongs beside it.
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@OpenRouter · video
Jev is on OpenRouter, in beta
OpenRouter's own announcement of the beta listing — the post that made the model reachable without a waitlist, and the reason the listing page this site links to exists at all.
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@alexchristou_ · video
Years of bookmarks, run through Jev
The joke that travelled furthest in this batch: years of bookmarked posts as a workload for a fast decision model. The demo is the point.
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@moritzkremb · video
A full Jev tutorial: what it is and what to build
The fullest tutorial in this batch — what it is, how to build with it, what it unlocks. Long, and the nearest thing to the official walkthrough that was never published.
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@0xCodila · post
Jev as an “Internet moment” for the AI industry
The strongest version of the hype, posted as text. Read it for how the analogy is argued; the post itself offers no number, and none of the claims in it are ours.
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@akshay_pachaar · video
LLMs vs Jev: the difference is not what you think
A widely shared explainer whose first move is to say the key difference is not speed. Short, and the numbers inside it are the vendor's, as they are everywhere else in this column.
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@SUOHA_AI · video
The co-founder's own nod to the Claude Code workflow
A Chinese-language clip about long coding sessions where the context window fills up. The co-founder reposted it, which is how it reached this list.
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@iannuttall · post
Starting with Jev: install the skill
The shortest useful post here: one command that installs the vendor's own skills. As much a resource as a demo, and how most people in this list started.
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@theo · post
The argument against Jev-shaped compaction
A well-known developer arguing the compaction plugin is the wrong approach. The most useful dissenting post in the list, and it is aimed at a build we cover.
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@paarangatrai · post
The easiest way to understand Jev
Two sentences that became the most-quoted explanation: models generate answers, Jev makes decisions. Nothing here to verify and everything to quote.
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@studio_yebisu · post
A Japanese roundup of Jev repositories
A Japanese post collecting the Jev repositories that look practically useful, especially for computer use and automated trading. A collection, so it belongs in resources too.
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@0xCodez · video
The founder on why the next era is not the coding-agent era
A clip of the founder arguing that the next era is not coding agents. Worth having as the vendor's own framing of the direction — and worth remembering it is a claim about where things go, not a measurement.
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@DataChaz · image
The “up to 193x” figure, as the vendor states it
Quotes the vendor's up-to-193× faster claim while framing it as the maker's number. We have not reproduced that measurement, and the row says so rather than repeating it flatly.
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@0xLogicrw · image
An Awesome Jev list for people with a key and no plan
A Chinese-language post that assembled an Awesome Jev list within a day of getting API access. The same shape as the resource columns on this site: the value is in what got included, not in the commentary around it.
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@0xRicker · video
Jev Engineering turns an agent stack into a control system
A video version of the same argument: Jev as the thing that turns a stack into a control system. Watch it for the vocabulary, which is spreading faster than the model is.
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@gregisenberg · video
What Jev is, and what it lets you build
The clearest of the explainer videos, and the one aimed at people wondering what business it unlocks rather than how the mechanism works.
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@swill1ams · post
The prediction: custom Jev-style models
A prediction rather than evidence, kept because it names the mechanism — parallel constrained decisions — and shows what this audience is betting on.
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@jonymusky · video
A four-minute explanation in Spanish
A four-minute Spanish explainer that states what Jev does not do before what it does — the clearest non-English treatment in the list.
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@CloudflareDev · post
Jev is live on Cloudflare AI Gateway
Cloudflare's developer account announcing Jev on AI Gateway. A platform confirmation rather than an opinion, which is the kind of primary source a resource index should carry.
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@mdlahfir · video
Using Jev for local harness and model routing
A developer using a decision model to route between Claude Code, Codex and opencode: the practical version of the routing argument made elsewhere in this column.
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@cocktailpeanut · image
Jev did not reinvent classification
The most precise framing we found — not a new classifier, but arbitrary classification made cheap enough to put inside a loop. Read this before the vendor's own claims.
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@0xMovez · image
Jev Engineering in ten steps
A ten-step article about putting Jev where an LLM was doing the cheap work inside an agent loop — the same case our builds column keeps finding, written as a walkthrough with the setup included. The numbers in it are the author's, not ours; 750 likes and 31 replies at the time we read it.
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@fazxes · image
Benchmarking a safety classifier against Jev
A benchmark post with a concrete result: roughly 5-18x faster on a safety classifier. Their numbers, their harness; it is listed because they published the setup.
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@da_fant · post
The “10x faster and cheaper” routing claim
A thread on model routing as the first place a decision model pays for itself. The 10x in the opening line is the author's claim, not a number we checked.
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@akshay_pachaar · image
Build a Jev judge: evaluation as a bounded decision
Takes the same argument to evaluation: if the judgement is a handful of bounded decisions, does it need another round of text generation to make it? The most concrete Jev-as-judge case we have found on X, and the one we would test before relying on it.
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@xiaomovps · post
Five open replications, five days after launch
A Chinese-language roundup of five open replications, with parameter counts and platforms — evidence for the copy-the-pattern claim that the Kev repository makes alone.
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@iwashi86 · post
Notes on reverse-engineering Jev from ten thousand calls
A Japanese engineer's notes on an article that reverse-engineered the architecture from about ten thousand API calls. The closest thing here to the architecture conversation.
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@mvanhorn · post
Multiple choice, not essay writing: Jev as an ELI5
An explainer aimed at people who have never heard of the model, summed up in the line worth keeping: think multiple choice, not essay writing. Useful as the single link to send somebody who asks what this is — and the 200x speed claim in it is the author's, not a measurement.
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@mvanhorn · post
Nine things people are building, summarised
The companion post to the article above, listing nine things people were already building. A week-one snapshot, useful even where our builds column disagrees with it.
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@zodchiii · video
The founder's “biggest breakthrough” framing
Another founder clip, this one making the breakthrough claim directly. Grouped with the earlier founder video so both of his framings sit side by side.
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@tonnoz · video
The use cases people keep missing
A short clip arguing the use cases are still being missed. Enthusiastic rather than technical; its value is the specific examples it names.
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@jiayuan_jy · post
A day with Jev, and a deflating conclusion
A sceptical Chinese-language note: after a day of study the author reads Jev as a faster general classifier that an LLM could equally do. The counterweight this column needs.
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@0xRicker · post
Jev as the control layer agents are missing
Argues that Jev belongs as the control layer rather than inside the model call. The seconds figure in the post is the author's framing of agent latency, not something we measured.
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@isaac_flath · post
Six things I tried with Jev
Six uses the author kept after trying them, with the ones they dropped left implied. Small reach, and the only entry reporting a durable personal workflow.
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@Kostastsale · post
Where Jev fits in security engineering
A security engineer's account of where a decision model fits in that work — a question the vendor's launch post never answers.
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@GoSailGlobal · video
Cold water on Jev for search reranking
A negative result worth keeping: on their reranking test, Jev alone did not beat vector search. The only post in this column reporting that something did not work.
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@ErickSky · image
On agents that no longer carry the whole context
A Spanish-language reaction noting that the agent's context stops feeling like a black box. Small reach, and the only post here making that particular observation.
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@GoSailGlobal · video
255 options, a few hundred milliseconds, one calibrated answer
A Chinese-language walkthrough of what a multiple-choice-only model grows into: up to 255 options, a few hundred milliseconds, and a calibrated confidence attached.
42 of 42 posts have a record of their own Send us one we missed
What the like counts are, and are not
They are a snapshot, taken when we read each post on 2026-09-23 — not a live feed. A like count keeps moving after we look; the ones on this page do not. That is deliberate. X's read API is priced (ADR-0023 — the free tier is write-only), and the endpoint that fills these rows is the widget endpoint a browser uses to draw an embedded post. We read it once, write the number down with the date, and do not poll it: a number that updates itself is a number nobody can check.
So the ordering on this page is "most liked when we looked", which is a weaker claim than "most liked" and an honest one. Where a post's own words carry a figure — a latency, a cost — it goes on the card as the author's, with the sentence it came from.