Editorial Policy

How we publish
This page explains how we choose topics, how we write, and how we handle updates and mistakes. In short: we aim for clear, useful AI content that respects readers’ time — and we correct issues when we find them.
Last reviewed: January 2026
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Quick summary (for busy humans)
  • We publish AI explainers, tools/workflows, data/privacy, and real-world impact content.
  • We prefer reliable sources (official docs, standards, research, and reputable publishers) for factual claims.
  • AI may assist with early drafts, but humans review and edit before publishing.
  • We update posts when information changes and correct errors when found.
  • We don’t provide medical, legal, or financial advice.

What we cover

We organize posts using labels (also called tags). Labels help readers find related posts fast. If you want the full list, use the Topics page.

Browse by category
Categories are big navigation groups. The Topics page always has the most up-to-date list.
Open Topics →
Note: labels can overlap. A post can use a label without matching a “category” perfectly — the Topics page is a browsing tool, not a strict rulebook.

How we choose topics

We pick topics using a simple filter: will this help a real reader understand something important or use a tool better? Most ideas come from:

  • Common questions readers ask (or search for)
  • Major changes in widely-used AI tools and platforms
  • Practical confusion we see repeatedly (terms used loosely or incorrectly)
  • Important privacy, safety, or real-world impact discussions
What we try to avoid
  • Hype-only content with no useful takeaway
  • Misleading “secret trick” headlines
  • Inventing statistics, quotes, or credentials
  • Copy-paste “template articles” with no real substance

Research, sources, and accuracy

AI moves fast, so accuracy is a moving target. When we make factual claims (features, dates, technical behavior, policies), we try to base them on reliable sources and update them when they change.

Our “source ladder” (preferred order)
  1. Primary sources: official documentation, product pages, standards, research papers
  2. Reputable secondary sources: established journalism and technical publications
  3. Community sources: clearly labeled, treated as discussion (not proof)

If a claim can’t be supported confidently, we remove it, soften it, or label it as uncertain.

AI assistance policy

We may use AI tools during drafting. When we do, it’s used as a draft helper — outlines, structure, wording suggestions, and simplifying explanations. It is not treated as an authority.

What this means in practice
  • Humans review and edit before publishing.
  • We double-check details that are easy to get wrong (numbers, dates, product behavior).
  • We don’t claim personal experiences or credentials we don’t have.
  • When uncertainty matters, we say so.

Corrections and updates

Mistakes happen. If we find an error (or a reader reports one), we fix it. We also update posts when important details change.

What we typically update
  • Clarifying wording or adding missing context
  • Fixing broken links or outdated references
  • Correcting factual errors or misleading phrasing
  • Updating “what it means now” when the situation changes

Independence and ads

Ads may appear on the site. Ads do not control editorial decisions. We don’t sell “guaranteed” rankings or reviews, and we avoid writing content purely to manipulate search engines.

Important disclaimer

Content on this site is informational only and is not professional advice. Nothing here should be treated as medical, legal, or financial advice. For serious decisions, consult qualified professionals.

Contact and feedback

If you spot an error, want to suggest a topic, or have feedback, please use our Contact page. We read messages and fix real issues.

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