THE RIGHT MODEL: A Field Guide to Choosing and Using AI

Stop guessing which AI to use. Most advice about AI still splits into two useless camps: treat it like magic, or dismiss it as hype. Neither one gets the work done. The Right Model is a practical field guide to the AI landscape of 2026 - what each family of models is actually good at, how to frame a job so the output is usable, and how to keep a human on the hook for anything that can't be undone. This isn't a vendor catalog that goes stale the moment a company renames a product. It's a working method: how to match the right class of model to the job in front of you, how to write prompts and context that survive contact with real work, and how to build judgment into every workflow - from a single chat to a fully autonomous agent. Inside, you'll learn how to: - Match the right class of model - not just the trendiest one - to the job actually in front of you- Write prompts and context that survive contact with real work, not just a demo- Tell the difference between assistance, automation, and agency - and know which one a task actually calls for- Keep a human accountable for anything irreversible, from a sent email to a production deploy- Spot the common mistakes - the ghost citation, the leaked credential, the over-automated Friday deploy - before they become your incident report- Build a personal or team practice that keeps you fast without letting your judgment atrophy >No hype. No vendor worship. Just a method you can use starting today - and update as the tools keep changing.