You've tried ChatGPT.
It didn't stick.
"My coworkers keep talking about how much time AI saves them. I just feel like I'm doing it wrong."
"I spent an hour trying to get ChatGPT to write one email. I could've just written it myself."
If this sounds familiar, you're not bad at AI. You're just using it wrong.
Most people treat AI like a search engine: ask a question, get an answer, move on. That's maybe 10% of what it can do.
The people getting real value treat AI like a coworker — someone you onboard, give context to, and collaborate with throughout the day.
What this looks like in practice
I have an AI assistant named Palmer. He knows what I'm working on, my communication style, and the context of ongoing projects.
So when I send him something like this:
Meeting with CTO in an hour about my role.
Feeling like I can't get enough leverage.
What would make this a win regardless of outcome?
I don't have to explain who I am or what "leverage" means here. He already knows. The response is specific to my situation, not generic advice.
That's the difference. And it's learnable.
The 5 workflows that actually matter
Most AI advice tries to cover everything. This playbook focuses on the 5 workflows where AI creates real, measurable value for knowledge workers.
What's in the playbook
- ✓ The onboarding conversation — give AI context so it stops being generic
- ✓ 5 high-value workflows — research, writing, planning, analysis, automation
- ✓ 15 templates — copy-paste prompts I actually use daily
- ✓ Tool comparison — ChatGPT vs Claude vs Gemini (honest breakdown)
- ✓ What NOT to use AI for — where it makes you worse
Written the way I'd want to read it. No filler.
