Editorial Policy & Review Methodology

1. Editorial Purpose

Aiifi covers AI, work, online learning, and career-focused technology for non-technical white-collar professionals. Our primary goal is to help readers make better decisions about what to use, what to buy, what to learn, and what to skip.

We do not publish content simply because a topic is trending or because it may attract search traffic. We publish when we believe a topic matters to our audience and when we can add original value through comparison, sourcing, evaluation, or practical analysis.

For product and course coverage specifically, we prioritize items readers are likely to encounter in practice: well-known platforms, widely-marketed courses, tools that appear in professional buying decisions, and notable launches or updates. We may decline to cover obscure tools with no path to credible verification, products our research suggests are misrepresented, or topics where we have no way to add value beyond what reputable provider documentation already offers.

2. Authorship and Accountability

FJ O’Shea is the editor and lead reviewer for AI courses, AI tools, and AI-for-non-technical-professionals coverage at Aiifi. He holds final editorial responsibility for any review or guide published under his named byline. Where readers would reasonably expect a byline, Aiifi uses one. Byline pages link to author information so readers can understand who created the content and what they cover.

Aiifi uses two byline conventions:

• Named-author byline (FJ O’Shea): applied only after FJ has personally reviewed, edited, and accepted responsibility for the article. Articles in his coverage area (AI evaluation, AI tools, AI courses, and AI for non-technical professionals) move to this byline as he reviews them; until then they carry the Aiifi Staff byline. Readers can read the full author bio for background on his relevant experience and external profiles.
• Aiifi Staff byline: applied to articles that have not yet been individually reviewed and accepted by a named author, plus quote roundups, broad reference content, and pages produced through multi-contributor research without a single primary author. These pages follow the same editorial standards as named-author content; the Organization (Aiifi) is the editorial entity behind them.

We aim to make authorship self-evident, accurate, and useful to readers. Where editing, review, or fact-checking materially changes a page, we may note that on the page itself.

3. Source Standards

We prioritize primary sources for every product or course claim. For product and course pages, that means checking the official provider page, pricing or enrollment page, help center or support documentation, official refund or terms pages, and official launch or update announcements when relevant.

For course and subscription reviews, for example, we may verify claims against the official product or enrollment page, platform help center documentation, official pricing or refund terms, and provider blog posts or update announcements.

When a claim cannot be verified from a trustworthy source, we either avoid making it, qualify it clearly, or identify it as uncertain. We do not present marketing copy, affiliate claims, or unsupported social chatter as fact.

4. Review Methodology

Aiifi's review content is built around decision quality. We evaluate what the product or course is, how it is priced, who it is best for, where it is weak, and how it compares with nearby alternatives.

Depending on the topic, our reviews may assess:

• price structure and total cost of completion
• subscription versus one-off purchase value
• career relevance and likely learner fit
• depth, breadth, and curriculum structure
• platform limitations, exclusions, and refund rules
• comparable alternatives and better-fit substitutes

We aim to follow the same principles Google highlights for review content: demonstrate expertise, provide evidence, include quantitative comparisons where useful, explain what differentiates the subject from competitors, and discuss pros and cons based on original analysis.

We do not claim first-hand testing when it has not happened. If a page is based on structured research, public documentation, pricing analysis, and comparison rather than direct product use, we say so through the page's sourcing, methodology, and language.

5. Recommendation Standards

Aiifi publishes reviews, comparisons, and buying guides, so our content is designed to help readers act. That does not mean every page is written to force the same outcome. A recommendation is only credible if it clearly identifies who should buy, who should skip, and when a narrower or cheaper option is the better decision.

When we recommend a product as the best fit, we explain why it is the best fit for a specific reader or use case. When we recommend against buying, we say so clearly.

Specific patterns that can lead us to recommend against a product, regardless of affiliate availability:

• Misrepresented pricing, refund terms, or course inclusions on the provider’s own marketing pages
• Substantial gaps between marketing claims and what the product actually delivers
• Outdated content or curricula that no longer reflect current AI capabilities
• Predatory subscription structures, dark-pattern cancellation flows, or undisclosed recurring charges
• A clearly better-fit alternative is available at the same or lower price for the same reader

Our reviews are more useful when they help readers avoid a bad purchase, not just make a purchase.

6. Affiliate Relationships and Commercial Independence

Some Aiifi pages contain affiliate links. When a reader clicks through and completes a qualifying purchase, Aiifi receives a commission from the merchant or affiliate network. We disclose that relationship on-page in line with applicable advertising disclosure standards, with the aim of making the commercial relationship clear, conspicuous, and close to the recommendation. For the full site-level explanation, see our Affiliate Disclosure.

Reviews are written and verdicts reached before affiliate links are added to a page. The order of operations is editorial-first: a recommendation is determined by the page’s research and analysis, then commission-bearing links are placed where the recommendation supports them. Affiliate relationships do not guarantee a recommendation. A monetizable product can still be a poor fit for a reader, and when we think a product is the wrong choice we say so. Likewise, we may direct readers to a narrower or cheaper option when that is the better fit.

We do not accept payment in exchange for a guaranteed positive editorial verdict. Sponsored placements, if ever introduced, should be clearly distinct from editorial reviews.

7. AI Use in Content Production

Aiifi may use AI tools during research, outlining, drafting support, coding, formatting, or workflow automation. We do not treat AI output as authoritative on its own. Any AI-assisted content intended for publication is subject to human review, source verification, and editorial accountability.

Where automation plays a meaningful role in content production, we make that understandable to readers through disclosures, methodology, or both. The purpose of using AI is workflow efficiency and structured analysis, not bulk publishing or search manipulation.

Aiifi assumes editorial responsibility for all AI-assisted output published on this site. AI tools are aids to editorial judgment, not substitutes for it. This places Aiifi within the human-review carve-out of the EU AI Act’s transparency obligations for AI-generated public-interest content (Article 50, applicable from August 2026).

8. Updates, Freshness, and Corrections

We update pages when there is a meaningful reason to do so, such as pricing changes, policy changes, new product launches, updated access rules, or improved comparison information. We do not change dates merely to create the impression of freshness.

If a page is updated materially, the visible updated date is revised. If a factual error is identified, we correct it as quickly as practical and may revise related language, comparisons, or recommendations where necessary.

How to flag an error or request a correction: readers can flag a factual error or request a correction via the contact page. We aim to acknowledge requests within two working days and apply confirmed corrections within seven working days. Where a correction materially changes a recommendation, the page is updated with a brief note describing what changed.

9. Reader Experience and Page Design

We design pages to be useful, readable, and decision-friendly. That means clear headings, transparent authorship, visible trust information, scannable comparisons, and layouts that work on mobile as well as desktop.

We do not believe more words automatically make a better page. We prefer complete, specific, evidence-backed content over filler added to meet arbitrary word counts.

Aiifi does not host third-party content, sponsored sections, or rented subfolders. All content on this site is produced by FJ O’Shea or the Aiifi Staff editorial team and falls under the standards on this page.

10. Public Guidance That Informs This Policy

This page is informed by public documentation from Google Search Central, the European Commission, the Advertising Standards Authority for Ireland (ASAI), the Competition and Consumer Protection Commission (CCPC) in Ireland, the UK Competition and Markets Authority (CMA), and the U.S. Federal Trade Commission (FTC), including:

• Google Search Central: Creating helpful, reliable, people-first content
• Google Search Central: How to write high quality reviews
• Google Search Central: General structured data guidelines
• FTC: Endorsement Guides FAQ (United States)
• FTC: Consumer Reviews and Testimonials Rule (16 CFR Part 465)
• ASAI: Guidance on Influencer Advertising and Marketing (Ireland)
• CCPC: Influencer Advertising and Marketing (Ireland)
• UK CMA / DMCC: Hidden Ads Principles (United Kingdom)
• European Commission: Unfair Commercial Practices Directive
• EU AI Act: Article 50 Transparency Obligations

If you have a question about Aiifi’s editorial approach, you can contact us here.