01
The Honest LandscapeWhat the current generation of models is actually good at — and what it isn't
We start with a brutal, demo-led tour of Claude, ChatGPT, and two specialist tools. You leave the first session with a calibrated sense of when to reach for AI and when not to.
02
Prompting as ThinkingStructure, context, examples — the craft of steering a model
The difference between hobbyists and serious users is not "secrets." It's structure. You build a personal prompt library against real tasks from your week. Output: 10 patterns you'll still use in a year.
03
Mapping Your Busy WorkThe repeating admin, the low-leverage tasks, the things eating your Monday
We map your week honestly and pull out the three or four repetitions worth killing first. By session end you've automated one — and seen how to spot the rest on your own.
04
Connecting the Systems You Already UseAI as the glue between email, docs, CRM, calendar, and the rest
The five-hour gains show up when the tools stop sitting in silos. You leave with one workflow connecting at least two systems you already pay for — running without you needing to babysit it.
05
Judgment, Risk, and GovernancePrivacy · hallucinations · when not to use AI · how to brief your legal team
The one most "AI courses" skip. We cover data handling, hallucination detection, and how to have a grown-up conversation about AI risk with people who don't share your appetite for it.
06
Shipping It to the TeamRolling your new workflow out beyond yourself
Capstone: present the workflow you're taking back to your team — what it automates, what it connects, what it hands back in time or revenue. Cohort and instructors critique. You leave with something you'll actually use on Monday.