Calibrate a Forecast
Separate a calibrated estimate from a guess. A forecast is output. It is not a commitment.
Use when. A specific question, horizon, and owner are supplied.
Do not use when. The question or horizon is vague, or you want the model to commit resources.
Your input. Prediction question; horizon; what yes means; supplied evidence; named owner.
Your quality check. Question, horizon, range, and update triggers are explicit. Commitment stays blank.
Put this to work
Prepare one calibrated forecast
For the named decision ownerCopy this prompt. Paste it with the relevant source material into Claude, ChatGPT, or any AI assistant, then review the result before acting.
Human decision — cannot be delegated. Use the forecast, revise it, or stop. AI may estimate only. No clinic CTA.
Outcome
A forecast with a question, horizon, range, and what would change the estimate.
Use When
Use when a specific question, horizon, and owner are supplied.
Inputs
Prediction question; horizon; what yes means; supplied evidence; named owner.
Recipe
Copy the prompt. Paste only supplied material. Leave the human decision blank.
Human and AI Control
An assistant may draft and report. Named owner owns the forecast and any commitment that follows. The tool is a player, not the job.
Output and Handoff
Return the Calibrated forecast and the blank human decision.
Evidence and Stop
Demand is hypothesized and the outcome is untested. Stop when the owner, the job boundary, or a required input is missing.
Reliability
Skill and tool: forecast calibration using a private reasoning assistant. The Calibrated forecast is the pattern; one question, one horizon, and human commitment is the protocol. Retain the returned brief as evidence. Accept only a result the named human can verify against the supplied inputs.
Next
Return the result to the named owner. Do not register autonomous execution until a completed prompt trial and an accepted execution contract exist.