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Answers & Confidence

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
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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.

Tagsconfidencepatterns

From the directory

How TypeSafe reports certainty, how it differs from probability, and how to use it architecturally to gate and route decisions.
Practices & PatternsDocs#official#confidence#routing
Official
A maintained list of jev-1.13's known failure modes, literal reading, unreliable counting, dates as text, indirection, context rot, and contradictory criteria, each with a guardrail.
Practices & PatternsDocs#official#docs#evaluation
Official

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Diogo Almeida
TypeSafe AI
@CompleteSkeptic

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

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