Editorial policy

How we use AI in our writing.

If you're spending time reading our blog, you should know what you're reading. Articles are written by humans, edited lightly with AI assistance, and reviewed by humans before they go up.

What AI does

A rubber-duck editor, not a writer.

A light pass on prose somebody has already written from experience.

Grammar and flow. An author finishes a draft, then asks an AI to flag awkward phrasing, missed words, and sentences that lost the plot. The author decides what to take and what to ignore. Plenty gets ignored.

Sanity checks. "Am I being completely out of line here?" The author is the expert on the topic. AI is a second pair of eyes that may push back on a take, surface a counterargument worth addressing, or confirm that yes, this is roughly the consensus. The author still decides.

Terminology validation. If a writer is calling something by what they think it's called, an AI pass might surface that the industry has settled on a different name. Useful, low-stakes, easy to verify.

What AI doesn't do

It doesn't write the article, and it doesn't decide what's true.

Two lines that don't move.

AI does not draft articles. The article comes from the author's experience, opinion, and operational scars. If we don't have something to say, we don't publish.

AI is not a source of truth. We don't ask it whether a claim is correct and trust the answer. Models hallucinate confidently on technical details, and that's exactly the failure mode a reader would reasonably worry about. The author is the expert. AI is the sanity check, not the authority. Anything load-bearing gets verified by a human, the old way.

We don't run "rewrite this in our voice" passes. Each author's voice is their own. If a post sounds like a person, that's because a person wrote it.

Why

If we're asking for your time, we owe you something real.

Generated content is everywhere. We're not adding to the pile.

Our writers have decades of production scars across healthcare, e-commerce, manufacturing, and SaaS. Reading those scars is the point. An article that's mostly model output isn't worth the space on this site, and it isn't worth your time.