Clarinet Open Session: Systemizing Your AI Use
You're already getting real value from AI, but it can still feel like you're doing all the driving: carrying the context every time, steering each step, and getting good-but-inconsistent or time-consuming results. This session is about making AI feel like it's set up around you, so it starts already knowing how you work and takes on more of the lift. You'll build reusable spaces and your own custom assistants, plus the judgment of when to reach for what tools. Everything is built live in your own tools as you go, so you leave with real systems already running, not just ideas to try later.
You’ll learn and do:
Set AI up around you. Build a reusable workspace that holds your recurring context, so it starts already knowing your role, your work, and how you like things done.
Build your own AI assistants. Create custom assistants for the tasks you do all the time so they show up trained instead of briefed from scratch.
Train it, don't just build it. Setting it up is step one; the payoff comes from testing it on real work and correcting it, so it keeps getting better the more you lean on it.
Know what's worth systematizing. Learn a simple judgment call for what deserves a dedicated space, what deserves a trained assistant, and what's better left to a quick chat, so you get leverage without over-engineering.
Spot your next high-value build. Use AI to scan how you already work and surface the systems worth building next, then set a recurring prompt so new opportunities keep coming to you.
You’ll take away:
A reusable context workspace set up for a real area of your work.
Custom assistants you built and trained for your own recurring tasks.
A simple test for what's worth systematizing
Recurring prompt that keeps surfacing your next high-value build.