A model will invent a statistic, a date, or a quote and present it with the same calm tone it uses for things that are true. Your audience trusts you, and that trust is on the line every time you repeat an unchecked number.
Fact-checking is not optional work you do when you have time. It is part of writing with AI, the same way proofreading is part of writing without it.
Go through the draft and highlight every number, name, date, and direct quote. These are the spots where a model is most likely to be wrong and most convincing when it is.
For each flag, find a source you trust and confirm the detail yourself. If you cannot confirm it in a couple of minutes, cut the claim rather than risk it.
The safest facts are the ones from your own experience. You can tell viewers what happened in your channel, what your viewers said, and what you tested. No model can get those wrong because they come from you.
When a script leans too hard on external numbers, that is a sign the topic needs your own angle more than it needs borrowed data.
A confident wrong number costs more trust than a hundred boring correct ones earn.
AI writing is strongest on pattern work like drafts and hook lists, so learn where the tool earns its keep and where your own voice has to take over.
A clear brief is the difference between usable AI writing and vague mush, so spell out the viewer, the goal, the tone, and what the script must avoid.
When you bring the outline, AI writing can expand it into a full draft, so your structure stays yours while the model handles the slow business of prose.
Analyze a channel, extract its structural DNA, and generate scripts engineered from patterns that actually work.
Analyze a Channel