Recognises a reconciliation by count only
Row counts reconcile; no monetary control total. Values can be lost while counts match.
Can AI do this?
AI does this well Most of the tested AI models master this. 3 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 99% | Mastered |
| gemini-3.5-flash-lite | Low cost | 8% | Not shown |
| gpt-6-luna | Low cost | 99% | Mastered |
| claude-haiku-5-5 | Low cost | 98% | Mastered |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The defect named on the reconciliation without monetary totals, and its fix or the question for its owner
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: RC-001 loan count per status, nothing else Acceptable: Counts plus principal, accrued interest and arrears totals
Also known as: Reconciliation by count only
Related knobits
Builds on
Usually followed by
All 15 knobits of Plan and prove a data migration.
Source: Review checklist 05-data-migration, row 1 (DMBOK)