De-AI your content

Applies to every AI-assisted draft before publishing or sending. Produces the same copy with the machine tells removed, the vague claims made concrete, and a full detection battery passed before it ships.

The economics: readers pattern-match AI tells in about a second and discount everything after, feeds suppress the formulaic shape, and answer engines never cite the median take. An unedited AI draft is the one piece of content guaranteed to look like everyone else's. This pass injects the only thing that differentiates, which is structure a machine would not default to and specifics a machine could not know.

The pass, in order

The order is the method. Reversing it produces a draft that has been word-swapped and still reads as generated.

1. X-ray the skeleton. Structural tells expose a draft even after every suspicious word is swapped, so structure gets fixed first. Scan against category 1 of the inventory and rewrite the sentence, never just the word.

2. Strip the surface. Run categories 2 through 5: punctuation, lexicon, content tells, voice tells.

3. Run the specificity pass. Every generic claim becomes a real number, name, or date pulled from source material, or it gets cut. If the source lacks the specific, flag the gap. Fabricated specificity is worse slop than vagueness, and in regulated industries it is a liability.

4. Run the rhythm pass. Read the piece aloud. Vary sentence length on purpose. Leave one fragment. Break at least one parallel structure per section. The target is copy that reads like one person typed it in one sitting.

5. Reconcile with the author. If a voice fingerprint document exists, load it and let it win every conflict with the tell list. Some humans genuinely open with rhetorical questions. Sanding off real habits produces a second kind of fake their audience catches just as fast.