Whitepapers
How NGTAX.AI works, and why it is built this way.
Seven papers on the architecture, the examination loop, provenance, the rule harvest, fixed assets and valuation, document capture and the economics of per-return pricing. Each says plainly what is built today and what is not.
Paper 1 · 9 minModels judge, code computesThe architecture of a defensible AI-prepared return: where models belong in tax preparation, and where they must never be.Paper 2 · 10 minThe examination loopAdversarial review with isolated context, five termination conditions, and why non-convergence is a diagnosis, not a failure.Paper 3 · 7 minA return you can reproducePer-figure provenance — evidence, rule, model, human — and what it does for review, examination and notice response.Paper 4 · 8 minThe rule harvestHow each resolved finding becomes a tested, cited, deterministic check, so the loop gets cheaper and the library becomes the asset.Paper 5 · 11 minDepreciation, amortization and valuation for every kind of businessBook and tax registers side by side, the elections that drive the year, and valuation workpapers built from the same ledger.Paper 6 · 6 minCapture anywhereReceipts, bills and tax forms from a phone or an inbox, matched to the bank evidence they support — and questions instead of guesses.Paper 7 · 8 minThe economics of a $99 returnWhat a business return costs to prepare with agents, why it falls with volume, and what per-return pricing means for a firm.Early accessBecome a founding firm →Founding firms: first three returns free.