The AI Margin Map: Find Which Clients Are Quietly Stealing Your Nomad Hours

Most freelancers track revenue but not the invisible hours that make a client unprofitable: revisions, status updates, context switching, and support messages. In this episode, Marcus Chen builds an AI Margin Map that turns a month of calendar entries, project messages, invoices, and deliverables into a practical client-by-client profitability report. You will learn how to sanitize and combine exports in Google Sheets, analyze them with ChatGPT or Claude, and use Make or Zapier to maintain the system automatically. Marcus provides an exact analysis prompt, a simple scoring formula, and decision rules for protecting your schedule without prematurely firing good clients. The workflow reveals which work should become an async process, a paid add-on, a fixed boundary, or an automated task. It helps digital nomads increase reliable income and preserve location flexibility by improving the economics of existing work—not chasing more leads. The episode closes with a seven-day implementation challenge and a clear invitation to join the course for the complete automation playbook.