About

About Aiifi

Aiifi publishes reviews, comparisons, and buying guides for AI, online courses, and career-focused technology. The site is built for readers who are trying to make a practical choice: what to use, what to buy, what to learn, and what to skip.

Short version: Aiifi helps professionals compare AI courses and online learning platforms. We publish fewer pages with more decision value: clearer comparisons, sharper buying logic, and honest guidance on who should skip a product.

1. What Aiifi Covers

Our coverage focuses on products and decisions that sit at the intersection of AI, work, and career development. That includes AI software, online learning platforms, professional certificates, subscription products, and business-facing products where pricing, fit, and practical value matter more than hype.

2. Who Aiifi Is For

Aiifi is for professionals, career changers, and business-focused readers who want clear buying and learning guidance. We aim to help people compare options quickly, understand tradeoffs clearly, and avoid spending time or money on the wrong fit.

3. How Aiifi Works

Aiifi uses visible bylines where readers would reasonably expect them. Review and course content is published under Evan Selway, who covers AI, online learning, and career-focused technology for the site.

We also publish site-level standards so readers can see how content is researched, written, reviewed, and monetized:

Those pages explain how Aiifi handles sourcing, affiliate relationships, AI-assisted production, updates, and corrections.

4. How Aiifi Makes Money

Some Aiifi pages contain affiliate links. If a reader clicks through and buys, Aiifi may earn a commission. That commercial model supports research, writing, editing, development, and maintenance.

Affiliate monetization does not guarantee a positive recommendation. Aiifi may recommend against buying, suggest a narrower option, or direct readers to a cheaper alternative when that is the better fit.

5. Why This Site Exists

Aiifi exists because the market for AI and career-related learning products is crowded with generic listicles, thin affiliate content, and recycled marketing copy. Our goal is to publish fewer pages with more decision value: clearer comparisons, sharper buying logic, and more useful guidance on who should skip a product.

We care more about decision quality than volume. A page should help a reader make a better call, not just give them more words to scan.