Keep the method.
- Your context.
- Clear instructions.
- Your review checks.
One reusable plan.
Ready for your next project.
From everyday work
to a useful first draft.
Your call notes.
The client wants one scope checklist.
Agreed next step:
Send a draft for review.A clear follow-up.
Draft emailYour scope checklist
I will send a draft checklist for your review.
We can confirm the scope before the next step.
You make the call.
- Does it match the call?
- Is the next step clear?
Review.
Then send.
Learn it. Build it.
Use it again.
A guided starting point for applying AI to your own business work.
- Learn practical AI.
- Choose a task. Write clear AI instructions. Check the output.
- Build your own workflow.
- Three editable business examples and a blank project for your work.
- Keep what you build.
- Keep your instructions, steps and review checks in a reusable workflow plan, your Runbook.
See inside the actual workbook
Plan in the workbook. Draft with your AI tool. Review and reuse.
- Format
- Your workbook opens offline.Use your chosen AI tool for the drafting.
- Access
- Keep your workbook.Download it again for 90 days.
- Recovery
- Save your recovery code.Return with your recovery receipt during the access period.
How does it work with my AI tool?
The workbook guides you. Your chosen AI tool drafts. You test and review every output before deciding what to use. Choose a tool appropriate for your task and information.
What should I know before purchasing?
The current offer is for eligible US purchasers. Applicable tax is shown at checkout. A voluntary full refund is available during the 14 calendar days after verified payment; statutory rights remain intact. Read the refund policy and purchase terms.
What if I lose my recovery receipt?
If you lose both your active session and saved recovery receipt, there is no automated recovery. Keep your receipt somewhere safe after payment.
You stay in control.
- Choose a tool that fits your task.
- Use confidential information only in approved tools.
- Review every output before using or sharing.
Not sure where to begin?
Start with the free audit.
Why start with one workflowRead the research and its limits
Research with clear limits
Why bounded work is worth testing with AI
Published research has found measurable gains when generative AI was applied to specific work in controlled settings. The results make a carefully chosen task worth testing, not assuming.
15%more customer-support issues resolved per hour, on averagePublished study result
A field study followed 5,172 customer-support agents at one company using a generative AI assistant. Agents remained responsible for the conversation and could ignore or edit suggestions.
Context limit: Effects varied substantially. Less-experienced workers gained more, while the most experienced workers saw small gains in speed and small declines in quality.
Generative AI at Work, Erik Brynjolfsson, Danielle Li, Lindsey Raymond, The Quarterly Journal of Economics (2025).
Read the study in The Quarterly Journal of Economics40%less time on the assigned professional writing tasksPublished study result
A randomized experiment with 453 college-educated professionals found that average completion time fell by 40% and independently assessed output quality rose by 18% on short, occupation-specific writing tasks.
Context limit: The tasks were short and self-contained, without the company context or factual verification that much real business work requires.
Experimental evidence on the productivity effects of generative artificial intelligence, Shakked Noy, Whitney Zhang, Science (2023).
Read the study in ScienceWhat this means for a first workflow
The practical question is not whether AI is universally productive. It is whether one bounded, recurring task has known inputs, a human reviewer, and a manual fallback, then earns an Adopt, Revise, or Stop decision through a small test.