I Built an AI News Site That Actually Explains Things in Plain English

Most AI news reads like it's written for ML engineers. Papers with arxiv links, breathless announcements about parameter counts nobody outside a lab cares about, and "revolutionary breakthroughs" that turn out to be incremental improvements on a benchmark.

I kept running into the same problem: I needed to stay current on AI for my work, but every source was either dumbed-down clickbait or impenetrable academic writing. There was no middle ground.

So I built one.

The Problem With AI News Coverage

The AI news ecosystem has a gap. On one end: TechCrunch and The Verge writing "ChatGPT can now do X!" with no technical depth. On the other: research blogs assuming you know what LoRA fine-tuning means and why a 2% improvement on MMLU matters.

The people who actually use AI tools daily — marketers, developers, business owners, writers — need something different. They need to understand:

• What actually changed (not the marketing spin)
• Whether it affects their workflow
• What the practical implications are in 6 months
• Which tools are worth switching to

What ClearAI News Does Differently

Every article follows a simple structure:

1. What happened — one paragraph, no jargon
2. Why it matters — practical impact on real workflows
3. Who should care — specific roles and use cases
4. What to do about it — actionable next steps

No "this could revolutionize everything" hedging. No breathless hype. No 47-paragraph essays when 5 paragraphs will do.

The Curation Challenge

The hardest part isn't writing — it's deciding what to cover. On any given day there are 50+ AI announcements. Most are irrelevant noise. The curation filter I've developed:

Cover if:

• A major model release that changes what's possible (not incremental updates)
• A tool launch that solves a real workflow problem
• A policy change that affects how people can use AI
• A trend shift backed by data (not speculation)

Skip if:

• Another wrapper around GPT-4 with a different UI
• A benchmark improvement with no practical application
• Funding announcements (unless the product is already useful)
• "AI will take your job" fear pieces with no substance

The Stack (for the curious)

• WordPress with custom theme optimized for reading speed
• SEO pipeline built on RankMath with structured data
• Content enrichment via Claude API for summaries and categorization
• Automated trend detection scanning 200+ sources daily
• Newsletter via Kit (ConvertKit) for daily digest delivery

What I've Learned After 6 Months

1. People want "so what?" more than "what" — the analysis paragraph gets 3x more engagement than the news itself
2. Tool reviews drive 10x the traffic of news posts — people Google "best AI tool for X" not "latest AI news"
3. Weekly roundups outperform daily posts — attention is finite; curation beats volume
4. Plain language isn't dumbing down — it's harder to write clearly than to hide behind jargon

Try It

clearainews.com — no signup needed, no paywall, no newsletter popup on page load.

If you're building in the AI space and want a news source that respects your time, give it a look. Happy to hear feedback on what topics you'd want covered more.