June 5, 2026
How AI Actually Works: A Plain-English Guide to Artificial Intelligence
A plain-English guide to AI for non-technical people. Learn how AI learns, why it gets things wrong, and what it means for your business. No jargon.
Read →From the Field
Practical articles on AI identity, brand representation, and structured data — written for business owners, not engineers.
June 5, 2026
A plain-English guide to AI for non-technical people. Learn how AI learns, why it gets things wrong, and what it means for your business. No jargon.
Read →May 28, 2026
Data poisoning is no longer theoretical. It's an active threat to AI reliability — and businesses are exposed through training data, retrieval systems, and AI-mediated discovery.
Read →May 23, 2026
AI systems are actively forming opinions about who you are, what you do, and whether to surface you in response to questions from potential customers. Here are the nine signals that matter most.
Read →May 19, 2026
As AI systems become larger intermediaries between users and the web, ecommerce businesses face a visibility challenge most operators haven't fully reckoned with yet. This article examines the difference between transaction visibility and entity visibility — and why it matters.
Read →May 16, 2026
AI is not one thing — it's a family of related approaches, each built differently and suited to different problems. Here's a clear map of what AI actually is, how large language models work under the hood, and what the different types mean for the world being built around them.
Read →May 1, 2026
AI systems are already forming opinions about your brand — often from outdated, unverified sources. Here's what you can actually do about it.
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