Cloudflare Workers has Jev now so I'm putting it to the test on keep.md - 7x faster search rerank compared to the current hybrid - 50x faster tagging of content vs GLM 4.7 Flash with no failures
Threshold
The value your code compares against a score, a Noul probability, or a confidence to turn an answer into an action.
- Category
- Answers & Confidence
- Also known as
- —
- Related terms
- 4
- Directory entries
- 2
- Docs
- docs.typesafe.ai
- Added
- 2026-09-24
Definition
Thresholds are how typed answers become decisions: a Noul above 0.9 escalates, a Score above 1.5 flags severity, a confidence below 0.6 routes to support. The docs stress that thresholds are per action, set by the consequences of a wrong classification.
The reliability warning is explicit: a confident answer is not a correct answer, and confidence thresholds tuned on one question type do not transfer to another, because structural identities between primitives are not guaranteed.
Related terms
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From the directory
From the community
Posts from builders shipping with Jev right now.
Search and tagging on keep.md
A filter for reply-guy comments
Pro tip: You can use Jev to remove annoying reply guy comments that X seems to always miss. Takes 5 minutes in Astra with the docs and an API key.
A Downloads folder that sorts itself
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JEV is insanely fast. We gave it a massive dataset based on thousands of outreach messages and asked: Which intent signals generated the most booked demos? 40 seconds later, we had the answer. Cost: less than $0.20. JEV can also rank leads, measure prospect-message fit, and Show more
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Introducing Jev for 'Website to App' Turn any website into a native mobile app. Just paste a URL. jev-1.13.0 decides how to build the original website as a *native* mobile app, then shipper submits to the app stores for you. We’ve been using this internally a ton for Show more
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
The compaction plugin, in Spanish
Este tipo de herramientas empieza a hacer que el contexto de los agentes parezca menos una ventana limitada y más una memoria que se administra dinámicamente. [fast-jev-compaction] No resume, hace que Jev analice cada tool call y su resultado para decidir qué sigue siendo Show more
