Editorial Policy

This site is maintained as a curated operational reference. The standard is simple: be current, be useful, and do not waste the reader’s time.

Accuracy is the floor, not the flourish. This policy exists so the site can stay useful under changing platform behavior without drifting into stale certainty, filler prose, or AI-assisted nonsense with good posture.

Human-led authorship

Every page on this site is ideated, edited, and approved by a human before it publishes. AI tools assist with research and drafting — surfacing sources, producing a first pass, converting formats — but they do not operate as a publishing pipeline. No page goes live on AI output alone.

This is a policy commitment, not a marketing line, and it is also a compliance position. Google’s scaled-content-abuse enforcement does not target AI involvement in content production — it targets publishing velocity and editorial depth. Sites that shipped high-volume, low-oversight AI content saw significant traffic loss through 2026; the dividing line the enforcement actually drew was between documented human editorial judgment and unexamined machine output at scale, not between “used AI” and “didn’t.” A public, followed editorial policy stating human-led authorship is therefore a durable asset against that enforcement pattern, not just a values statement.

In practice, this means: every draft — AI-assisted or not — gets human review before publication; every page has a named editorial owner; and no content program on this site runs on autopilot.

Core standards

• Current state beats legacy assumptions. Search and AI platform behavior changes fast. If a claim no longer reflects current reality, it gets updated or removed.
• Primary sources first. When change risk is high, official documentation and directly verifiable behavior outrank recycled summaries.
• Page roles stay distinct. Checklists, playbooks, templates, briefings, and news each have a different job. We do not blur them just because a topic is messy.
• Fewer, stronger pages. We would rather keep a smaller set of pages that earn their place than pad the site with thin repetitions and taxonomy wallpaper.
• Human review is not optional. AI can help with drafting, summarising, and structure, but it does not get to publish unchecked claims or smuggle in fake certainty.
• Warmth without sludge. The tone should be professional, clear, and human. No hype, no trend-jargon stuffing, and no sterile corporate drywall either.

Publication rule

A page is not publish-ready unless it survives source checking, structural review, role clarity, and a basic honesty test: would this still be useful to a competent practitioner who is actively trying to solve the problem?

Corrections and updates

If a page is stale, unclear, or wrong, the fix is to correct it plainly. We do not protect outdated wording just because it was previously published, and we do not leave shaky claims in place because they sound impressive. Briefings review on a 6-month cycle from their reviewed date; playbooks, templates, and checklists review on trigger (a platform behavior change, a spec change, a news item that touches them) plus a 12-month backstop.

What readers should expect

• Verified change over recycled takes. When platform behavior shifts, the page changes with it rather than preserving old assumptions for convenience.
• Clear structure over blended page jobs. Readers should be able to tell whether a page is a procedure, an artifact, an interpretation, a verification list, or a dated update without guessing.
• Human editorial judgment. Drafting help is fine. Publishing unexamined machine output is not. Those are not the same thing.

How trust shows up on the page

Every page carries a reviewed date and a Sources block generated from its frontmatter — this replaces hand-added trust modules with something the build enforces rather than something an author remembers to add. If a claim is volatile or high-stakes, it should cite a primary source directly rather than asking the reader to trust the page’s tone.