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Capture the decision now — kind, what you expect, what you assumed, and the downside case. At lot close, the system computes the actual numbers and shows variance side-by-side so the next decision can learn from the last one.
Lot-scoped. Pick a lot below to enable variance comparison at lot close.
Floor $/lb, basis assumption, contract month
0–100 percent (we store as fraction)
Capture the downside case — "worst plausible outcome" — so the variance at lot close shows whether your guard was right.
Pull the AI's read on this kind of decision, captured at the moment of decision so we can compare hindsight to foresight.