Episode Details

Many nomads lose billable hours to repetitive client communication: catch-up emails, post-meeting notes, status updates and feedback collection. This episode shows a compact, ethical AI workflow you can implement in a weekend to automate client-facing delivery while preserving transparency and control. Marcus and Sofia walk through specific prompts, a side-by-side tool comparison (ChatGPT vs small local LLMs for privacy; Otter/Descript vs built-in meeting transcription; Zapier/Make vs n8n for orchestration), and before/after examples that quantify time saved and retention gains. You’ll get concrete prompts (example: "Summarize meeting: outcomes, owners, deadlines; draft friendly status email with two-tone options: concise vs detailed"), a demo stack, and a step-by-step implementation plan that fits a 9-minute panel. Ethical considerations and failure modes are addressed so you can automate without burning trust or oversharing client data.