found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant
Augustus
An agent skill for deciding where typed judgments belong beside code, policy, and generation, with Jev examples for question design and abstention plus an offline probability and threshold evaluator.
- Category
- Tools & Integrations
- Published by
- Community
- Author
- 24601
- Added
- 2026-09-22
Tagscommunityskillsagentsclassificationcalibration
Highlights
- Companion to the official typesafe-ai skill: that skill owns Jev integration contracts; Augustus owns design judgment such as fail-open versus fail-closed.
- Covers the wider decision-model class, including GLiNER, Laya, kev, OpenJev, SemIf, NanoJev, Jeff-1, and localjev, not only TypeSafe Jev.
- Recipe cards warn against treating schema-valid output as correct, API confidence as P(correct), or a soft Noul as a hard gate.
- Version 0.5.1 is written against typesafe-ai/skills v0.5.7 and tells readers to re-read live TypeSafe docs before trusting the pin.
Quickstart
bash
claude plugin install augustus@augustusWatch out
MIT-licensed. It is not a TypeSafe product, and the README warns that its pinned typesafe-ai/skills version may lag live API behavior.
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From the community
Posts from builders shipping with Jev right now.
Instant compaction with Jev
A Claude session from 1M to 86K tokens
This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run! Like, literally, 1 second to take my Claude session from nearly 1M to ... 86K tokens! 😮 Ask your claude to install it and be Show more
found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant
Vercel's fx safety reviewer, 18x faster
We're seeing extraordinary results from @typesafeai. Default mode in 𝚏𝚡 is auto, with a safety reviewer analyzing every command. That reviewer runs on GPT Luna today. Jev is up to 18x faster (p95) *and* more accurate. It's coming to @vercel AI Gateway and likely new default.
@fazxes
We benchmarked fx auto mode (safety) classifier with @typesafeai's Jev. tl;dr: ~5-18x faster and more accurate than 𝚐𝚙𝚝-𝟻.𝟼-𝚕𝚞𝚗𝚊, our current top choice
Jev lands on OpenRouter
Jev by @typesafeai is now on OpenRouter, in beta. Jev is a System One model. Instead of generating text, it takes your app's state plus a typed question and returns a typed decision with a probability attached. There is no JSON prompting, parsing layer, and nothing to validate Show more
700 leads scored for $0.09
JEV is INSANE. We gave it 700 high-intent leads and personalised outreach messages. In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches. All for just $0.09. JEV can also score leads, analyse buying Show more
Beating Gemini Flash Lite on an eval
Ran @typesafeai's Jev against an existing classifier eval that previously used Gemini 2.5 Flash Lite. It won both on quality (saturated the eval) and speed (6x)
