Primitives

Three question types, one request. Each is evaluated on its own against the same state.

TypeUse whenAnswer
Choicethe answer is one of a set of unordered optionschoice, probabilities per option summing to 1, confidence
Scorethe answer is a position on ordered levelsscore (probability-weighted level), probabilities per level, legend, confidence
Noulthe answer is yes or nonoul, the probability of yes, and confidence

Choosing

  • Categories without order: Choice. Add an other option when the set may not cover everything.
  • A spectrum: Score. Describe each level as a situation, not a degree word.
  • A statement: Noul. Phrase it so that yes is the interesting case.

Atomic questions, composed in code

Ask one specific thing per question. If a judgment needs several factors, ask each as its own question and combine the answers in code with weights you control. "Is this pitch good?" becomes market size, technical feasibility and differentiation, each a Score, combined by your formula. When priorities change, change a coefficient, not a prompt.

Structure

instructions and criteria accept JSON, not only strings: an option can be {"what": ..., "not_for": ..., "examples": [...]}, a level {"summary": ..., "signals": [...]}, a noul's criteria {"true": ..., "false": ...}. Jers was trained on text, so structure helps when it makes the boundary clearer and hurts when it adds noise; test on your data.

Several questions at once

All questions in a request run in one engine pass on the same state (two passes when a choice has more than 20 options, one per window with windows). A request may need at most 400 engine questions. Measured on this Mac: a three-question request takes 22 to 25 ms of engine time (medians of 20 requests, three runs, 2026-09-23); the cost per answer is the same however many you send.