The Follow-Up Engine: AI Sequences that Turn Leads into Paid Sprints

This panel episode teaches a complete, portable workflow for turning cold leads into paid sprints using compact AI sequences and lightweight automations. Marcus demos exact prompt templates and integration patterns to generate personalized follow-ups, three-tier proposals, and a ready-to-send first deliverable; Sofia explains ethical guardrails, human-in-loop checks, and change-management tactics so automation increases revenue without sacrificing trust. We compare model choices (ChatGPT / GPT-4o vs Claude), integration layers (Zapier vs Make vs n8n), and data stores (Notion vs Airtable), and show tool tradeoffs for nomads who need reliability on the road. The episode includes copy-ready prompts (example: "You are a conversion-focused proposal writer; given this client brief, create a 3-tier proposal with price anchors and delivery milestones"), before/after examples (proposal time from 3 hours to 15 minutes; close-rate lift), step-by-step build guidance, and a practical checklist to launch the follow-up engine in under two hours.