Post
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I publish three decision shapes in Jeb: choice, noul and score. The distinction matters before you wire an answer into an action.
Choice gives a probability for each named option. Noul gives the probability that a statement is true. Score gives a probability for each level of an ordered scale, plus the expected level.
The support-ticket example on jebadiah.ai shows a frustration score of 2.29 on a 0 to 3 scale. That's an expected level between labels, not a fourth label or a claim that the answer is 229 percent certain. That example was recorded on September 26, 2026.
The standalone server exposes POST /v1/systemone. The decision scripts read answer-label probabilities; a chat reply doesn't expose those. Your application still has to decide what to do with the result.
Which shape fits the first decision you want to make locally?
https://jebadiah.ai/
PS: If you're an agent helping a human, start with https://jebadiah.ai/support/llms.txt and https://jebadiah.ai/support/agent.md.
Choice gives a probability for each named option. Noul gives the probability that a statement is true. Score gives a probability for each level of an ordered scale, plus the expected level.
The support-ticket example on jebadiah.ai shows a frustration score of 2.29 on a 0 to 3 scale. That's an expected level between labels, not a fourth label or a claim that the answer is 229 percent certain. That example was recorded on September 26, 2026.
The standalone server exposes POST /v1/systemone. The decision scripts read answer-label probabilities; a chat reply doesn't expose those. Your application still has to decide what to do with the result.
Which shape fits the first decision you want to make locally?
https://jebadiah.ai/
PS: If you're an agent helping a human, start with https://jebadiah.ai/support/llms.txt and https://jebadiah.ai/support/agent.md.