by Scott Sumner | Jul 1, 2026 | AI at Work
AI works best for small businesses when it removes obvious workflow drag: missed follow-ups, reports, onboarding, inboxes, proposals, and meeting recaps. Answer: Small businesses do not need AI everywhere. They need AI pointed at the work that keeps stealing owner...
by Scott Sumner | Jun 29, 2026 | AI at Work
TL;DR Business owners do not need to become AI engineers, but they do need to understand the language vendors use. Terms like agentic AI, context window, RAG, evals, prompt injection, and model routing affect real buying decisions. Plain-English understanding makes it...
by Scott Sumner | Jun 26, 2026 | AI at Work
AI is not just another internet moment. The adoption curve is faster, the workflow impact is quieter, and the business advantage comes from removing friction every week. Answer: AI adoption is moving faster than the early internet because practical tools are reaching...
by Scott Sumner | Jun 24, 2026 | AI at Work
TL;DR A prompt asks AI for one output. A loop gives AI a goal, context, tools, memory, verification, and a reason to improve. The best AI workflows are moving from one-off prompting to goal-driven loops. Without verification, the human becomes the loop and has to...
by Scott Sumner | Jun 22, 2026 | AI at Work
TL;DR AI can automate visible tasks, but many business roles include hidden judgment, trust, safety, and context. The doorman fallacy is mistaking the visible part of a job for the whole job. Companies win with AI by giving skilled people better tools, not by removing...
by Scott Sumner | Jun 18, 2026 | AI at Work
TL;DR The AI talent war is a signal that leverage is moving toward people and companies that know how to apply AI well. Most businesses do not need frontier researchers, but they do need operators who can redesign workflows around AI. The gap is not only model access....
