Rod Claar traces a through-line from his earliest work in a 1972 lumber yard to his current role as an AI trainer — revealing that the core skill connecting both worlds is pattern recognition. The post reframes AI for skeptics and late adopters: AI isn't magic, it's pattern matching at scale. Professionals with decades of real-world problem-solving experience already possess the foundational thinking that makes AI useful. The message is empowering — your past experience is an asset, not a liability, in the age of AI.

Five facts from the past week — a stronger Claude, metered Copilot billing, a cheap new Grok coding model, a more autonomous Cursor, and a permanent DeepSeek price cut — and what each means for your Scrum team.

Rod Claar draws a direct parallel between writing clean code and writing effective AI prompts. The core idea: vague instructions produce broken results, whether you're coding or prompting. Developers already have the structured thinking required to write great prompts — they just need to apply it to AI. The post offers four practical rules for better prompts and closes with a concrete example showing the difference between a weak prompt and a precise, program-like one.