Method
Every article on this site is generated by a pipeline that has to prove its work before anything goes live. This page documents how — including what the system cannot promise.
The claim store
Nothing is written from thin air. Before an article is drafted, its factual material is entered as individual claims in a verification store. Each claim carries three things: a source, a confidence label, and a reference. The writer is only allowed to use what is in the store; a draft with too little verified material is blocked before a single word is generated.
What the confidence labels mean
- Sourced
- Traced to a named document we have read in full. The reference points to the chapter or section.
- Observed
- We watched it happen in our own running systems — a logged run, a caught failure, a receipt with a checksum.
- Inferred
- Our own reasoning built on sourced or observed material. Always labeled as a hypothesis in the article, never presented as fact.
- Mythbuster
- A limit or counter-claim we keep on purpose — the honest case against our own thesis. Every article is required to carry one.
The gates
A draft passes two independent checks before publishing. First a grounding guard: if the verified material behind the article is too thin, the run stops. Then an independent judge — a different model than the writer — scores the draft on insight, readability, balance and voice. A failing verdict blocks publication outright; the draft is not softened and shipped, it is stopped. This is not theoretical: the judge has blocked our own flagship draft, and the revision only went live after a passing verdict.
Receipts, not assurances
Between the automated steps, every hand-off carries a receipt — a checksum or byte count that proves the work exists as claimed. A green status light proves a step executed. The receipt is what proves it executed correctly. We wrote about the difference in What a Green Checkmark Doesn’t Prove.
What we cannot promise
No honest system can promise hallucination-free content, and we don’t. The judge is itself a model and can be wrong in both directions. Confidence labels are our own assessment, not third-party certification. And we do not yet have infrastructure that measures how often external AI answer engines actually cite us — where that gap matters to an article’s argument, the article says so.
That is the whole method: proof you can read beats confidence you have to trust.