Scale AI content by improving the editorial system.

AI can help you draft more quickly. A publishing system determines whether the extra output is useful. Scale the work that produces better answers: research, structure, evidence, review, and maintenance.

At StackM, the goal is to give a distinct customer question a useful home. Article count is an operational measure, not proof that the publication is helping anyone.

A useful brief identifies the reader, the decision, the existing pages nearby, and the new contribution. That contribution might be a worked example, a decision table, an original method, or a clearer explanation of something customers routinely misunderstand.

Specify the sources needed for any changing claims. Product pricing, plan limits, and platform behavior should be checked against current primary material. A model's confident recollection is not an evidence source.

Include the intended product connection. If the article has no meaningful relationship to your business, ask whether it belongs in this publication.

Begin with the direct answer. Add the context needed to apply it, then a concrete example or process. Use questions as headings when they help readers locate an answer. Do not add a FAQ merely to repeat the same paragraphs with different punctuation.

Give each section a job. If two sections make the same decision easier in the same way, combine them. If a claim sounds impressive but has no support, remove it or label it as a hypothetical example.

Google’s guidance warns against using generative AI to produce many low-value pages. The useful response is an editorial quality threshold, rather than a quota for human-sounding wording.

In the factual pass, verify material claims, dates, numbers, product names, links, and the arithmetic in examples. In the editorial pass, ask whether the answer is clear, the advice is specific, and the article adds something beyond nearby content.

Review first-person statements carefully. AI assistance must not invent experience, experiments, conversations, or client results. “I would evaluate it this way” is a recommendation. “We saw a 40% lift” is a factual claim that requires evidence.

• A distinct title and accurate description.
• The actual author and a relevant author profile.
• A real publication date and honest update history.
• Sources placed near the claims they support.
• Links to related pages where they help the reader.
• A clear next step that fits the article.

Our articles use Matt Pru's byline and explain the use of AI assistance in the editorial approach. That context should stay consistent as the archive grows.

Some articles need review when a named platform changes. Others need attention when a product changes, a claim loses its source, or readers cannot complete the task. Stable decision frameworks can be reviewed on a different cadence from product comparisons.

Track the next review reason alongside the URL. Updating a page's date without changing its substance does not create new value. A real refresh should improve what a reader can understand or do.

Use the recency workflow to decide when news deserves a new article and when it belongs in an existing one.

For the next implementation step, use Guides, essays, and checklists: choose the right format.

For the next implementation step, use Turn a live webinar into an accurate resource.