The Demo Should Show You Where It Stops
Building the demo took a day. Deciding what the demo was not allowed to claim took longer, and that part is the actual work.
Read the field note →Field Notes
Practical notes from the workshop.
Guidance for owners who want a useful first AI workflow, clear operating boundaries, and evidence they can actually inspect.
Start With One Job Before You Automate With AI
Owner-led businesses get better AI results when they start with one recurring job, clear approval points, and a measurable workflow.
Read the field note →What Visible Proof Means in an AI Workflow
A practical standard for showing what an AI workflow did, what it could not do, and what still needs human review.
Read the field note →The Best First AI Workflow by Industry
Practical first-workflow options for trades, real estate, legal, and financial services teams.
Read the field note →What Business Owners Get Wrong About AI Agents
Most business owners ask the wrong first question about AI agents. The useful question is which job can be handed off without creating a mess.
Read the field note →What NemoClaw Means for Enterprise AI Agents — A Practitioner’s Take
A practical look at NemoClaw, enterprise agent infrastructure, and the operating work still required around the model.
Read the field note →Three AI Agent Deployments: What the Work Actually Required
Field notes from three early deployments, including what worked, what needed revision, and why operating boundaries matter.
Read the field note →The Real Cost of Missed Calls for Contractors
Why missed-call intake is a useful first workflow for a trades business—and where a phone system still needs clear rules.
Read the field note →What Is an AI System? A Practical Guide for Small Business
A plain-English guide to bounded AI systems, the jobs they can support, and the review points owners should keep.
Read the field note →A practical first step
Have a workflow in mind?
Use the notes to sharpen the question, then bring the actual job to Don.