How this works
AI Brief for Coaches & Small Business is a short twice-weekly briefing on the AI developments that affect coaches and small businesses. It isn't general AI news. It covers what changes how you work, serve clients, market yourself, run your business, and protect the trust your clients place in you.
1. Finding the news
Every Tuesday and Friday morning (issues are up by 7 a.m. Eastern) an automated process checks a fixed list of about thirty sources for anything published since the previous issue. They fall into these groups:
- AI and coaching: the International Coaching Federation's research portal and Coaching.com
- AI, work, and human impact: Harvard Business Review, MIT Sloan Management Review, Stanford HAI, the MIT Initiative on the Digital Economy, McKinsey, and Deloitte
- AI and small business: the U.S. Small Business Administration, the U.S. Chamber of Commerce, and SCORE
- Primary AI research: OpenAI, Anthropic, Google DeepMind, and Microsoft Research
- AI news: established technology journalism, such as The Verge, Wired, Ars Technica, and MIT Technology Review
- AI tools and products: product updates for everyday tools like Google Workspace and Microsoft 365
That's usually a couple of hundred articles. Most of them aren't relevant here, so the next step does a lot of filtering.
2. Choosing and summarizing
All of those articles go to one AI model (Anthropic's Claude) together, in a single pass. The model:
- Groups coverage of the same event into one story, so you don't read the same news five times.
- Keeps only what connects AI to coaching, people, work, or small business. A huge AI-industry headline gets left out if it doesn't change anything for you.
- Favors original research, studies, and data over product announcements, and prioritizes topics like AI in coaching, human connection, meaning at work, career transitions, leadership, small business adoption, and responsible AI use.
- Rates each story by how much it matters to these readers, and whether it's most useful for coaches, small businesses, or both.
- Writes a plain-language summary with why it matters, a small "Try this" suggestion, and links to the original sources it relied on.
If nothing clears the bar, the issue says so rather than filling space.
3. No human in the loop
No person selects, writes, edits, or fact-checks the stories. The process runs on its own: each issue is published automatically and isn't reviewed by a person first. That's why every story, "Worth watching" item, and suggestion links to its original source, and why you should read those sources and use your own judgment before acting on anything.
Spot a problem? Have a request?
If a summary gets something wrong, a story doesn't belong, something important was missed, or you'd like the briefing to work differently, please send a message on LinkedIn. Feedback helps improve which sources are used and how the AI chooses stories.