# System One extraction models

Cloudflare has previewed Clairic on Workers AI, extending so-called System One models from decisions to extraction: given text and a map of typed fields, it returns extracted, computed, estimated or forecast values in a single parallel forward pass, each with confidence and an 80% interval. Structured-output calls previously went to frontier LLMs that generate tokens, requiring parsing, validation and retries. In one support-claim pipeline, Clairic plus the decision model Clef plus an LLM finished in 19.3 seconds, against 61.7 seconds when GLM-5.3 did every step.

Cloudflare has previewed Clairic on Workers AI, extending so-called System One models from decisions to extraction: given text and a map of typed fields, it returns extracted, computed, estimated or forecast values in a single parallel forward pass, each with confidence and an 80% interval. Structured-output calls previously went to frontier LLMs that generate tokens, requiring parsing, validation and retries. In one support-claim pipeline, Clairic plus the decision model Clef plus an LLM finished in 19.3 seconds, against 61.7 seconds when GLM-5.3 did every step.