Editorial Methodology

Source Standards

First AI Class is built for working professionals who need practical, current AI guidance. Our source hierarchy starts with primary sources: regulators, official product and vendor documentation, peer-reviewed research, government data, standards bodies, and direct platform release notes. When primary sources do not fully explain a workflow or market context, we may use reputable secondary sources from established publishers, research organizations, and recognized subject-matter experts.

We exclude low-quality SEO pages, unsupported claims, scraped summaries, anonymous content farms, and sources that cannot be tied back to verifiable evidence.

AI Assistance and Human Review

Our content workflow is AI-assisted and human-reviewed. AI may help draft outlines, compare sources, generate examples, or identify gaps, but publication decisions remain human. Every page must pass automated quality gates for originality, uniqueness, citation coverage, structure, and internal consistency before human review.

For regulated or professional-advice topics, including legal, medical, financial, employment, education, or compliance-sensitive guidance, a named, credentialed human reviewer must review the page before publication.

Fact-Checking and Corrections

We check factual claims against the strongest available sources before publication and attach a "last verified" date to pages that require active review. That date reflects a real review, not an automated page refresh.

Readers can report possible errors through our contact page. We review correction requests, compare the issue against source material, update the page when warranted, and refresh the verification date when a substantive review is completed.

Review Cadence

AI tools, model capabilities, pricing, policies, and regulations change frequently. We periodically re-review published content, with faster review cycles for pages involving regulated topics, fast-moving tools, or high-impact professional workflows.