GoM · Graph of Models · Recorded — real logged runs, not live

Your AI does the math in its head — and gets it wrong.
GoM checks its work.

Watch a leading model answer confidently, slip up, and get caught — line by line. Real logged cases, replayed here.

The six cases replayed here are drawn from the baseline's errors — across the full 15-problem set it answered 7 correctly (47%).

Case 1 / 6 · grade-school word problem

Recorded · real case

The question

Raw LLM Answers from memory

thinking…

✗ — confidently wrong

GoM Reasons & checks each step

✓ — verified

✓

Same questions. One checks its work.

Measured on a held-out set of grade-school word problems.

Baseline LLM

47%

With GoM

87%

+40 pts

accuracy gain (n = 15)
47% → 87%

errors caught
& corrected

100%

of steps
verified & auditable

GoM reasons step by step, checks its own work, and learns from feedback — so every answer is verifiable, not guessed. · Sample size n = 15 held-out problems.

Forty points is what checking your work is worth.

See the rest of the deck.

In-session learning, auditable step-by-step reasoning, byte-identical determinism, verified arithmetic, and the measured economics.

All demos

Your AI does the math in its head — and gets it wrong.GoM checks its work.

Same questions. One checks its work.

See the rest of the deck.

Your AI does the math in its head — and gets it wrong.
GoM checks its work.