Turn source material into reviewed AI content

AI can help turn existing material into a readable draft, but it cannot make missing evidence appear. A useful content workflow starts with material you can stand behind and ends with a deliberate editorial decision. The step between those points is a draft, however polished it looks.

Prepare a small source pack

Choose the current material relevant to the article. Separate approved company facts from independent background research and from examples used only to demonstrate tone. Date the pack and identify the person who can answer questions about the offer.

For an illustrative service article, include what the service does, who it is intended for and the limits of the promise. Exclude unsupported customer outcomes and old claims that nobody has confirmed. Do not give the system private documents simply because they happen to be available.

Ask for a draft with visible gaps

Define the reader's question and a structure that answers it. Ask the system to identify missing information separately, rather than completing every section with plausible detail. NIST identifies confabulation as a risk of generative AI; fluent language should therefore never be treated as evidence by itself.

Keep research notes separate from publication text. If the draft introduces a statistic, quotation or specific company claim that was not in the source pack, mark it for verification or remove it. Rephrasing a claim does not establish its truth.

Review different things deliberately

First compare factual statements with the material. Then check whether the article answers the intended question and whether examples are clearly examples. Finally, read for clarity, repetition and tone. Separating these checks makes it less tempting to accept a factual error because the paragraph sounds good.

An own-project example is the iMATRIX - AI Suite content workflow, which describes planning, AI drafts and human approvals. A workflow description does not guarantee the accuracy of an individual article.

Transparency: iMATRIX is our own project. This product example is separate from independent research.

Make approval a distinct action

Keep the reviewed version identifiable and assign a person to the final decision. If important facts change afterwards, revisit the affected content rather than assuming the earlier approval covers every edit.

The useful output is not merely a finished-looking text. It is an article whose facts, purpose and publication decision you can explain.

Sources: NIST: Generative Artificial Intelligence Profile; iMATRIX - AI Suite: Content workflow overview.