Put AI to work on work that matters.
I started with a task I knew how to judge. In 30 minutes, you can do the same with Claude Code: use AI on real material, check the result and decide whether it earned a place in your work.
Choose the outcome you need.
Your job title does not decide where to start. Pick the result you want, then skip anything you already know.
Get one useful result
For anyone starting out. Use AI on your own material and check the answer.
Open guide →Make good work repeatable
For regular users and managers. Save the brief, checks and working rules.
Open guide →Set the team standard
For leaders and experienced users. Decide access, checks, ownership and review.
Open guide →Change an input. See what moves.
These demos use a made-up company. They show the shape of the work and the questions I would ask. They are not software my team runs.
Would the plan pay for the behaviour?
Move attainment, mix and caps. Watch payout and cost change.
Where is the plan asking too much?
Compare quota, capacity and coverage across a set of regions.
When does a hire start producing?
Change hiring dates, ramp and attrition. See capacity by month.
Put the signals in one revenue cockpit.
A made-up operating view of pipeline, forecast, coverage and team capacity.
Turn messy material into a decision brief.
The free decision helper separates source evidence from assumptions, compares the live options and states the decision required.
My day job became the test.
I'm David Lee. I lead Global Revenue Operations at Checkout.com. I was comfortable with data, but building software with AI was new. I learned on real work where I could spot a bad answer.
I also write about revenue decisions, squiggly careers and helping people grow into bigger jobs.
Pick one file. Give it 30 minutes.
You should leave with a result you understand well enough to accept, fix or reject.
Start the guide →