A frozen frontier model hands you a professional-looking financial figure. Sometimes it is right — but it gives no audit trail, and on a multi-step chain it can quietly carry a fabricated or mis-computed intermediate forward. GoM is a verify → override layer over the same frozen base: it translates the problem into a checked sequence of arithmetic steps (a typed “op-graph”), executes each step exactly, verifies every hand-off, and returns a replayable, auditable total. This is a lift on top of the model you already have — not a different model.
Step through the 20 items — watch where the confident number goes wrong.
finance_data.json …20 items, 20 verified. Four corrected over a confident frontier answer. The language model proposes; the verified engine computes.
In-session learning, auditable step-by-step reasoning, byte-identical determinism, verified arithmetic, and the measured economics.
All demos