EPISODE 46 | February 13, 2026

Vibe Coding for GTM: AI-Powered Personalization at Scale

How prompt sequences and deep research unlock hyper-personalized outbound that reads like it was written only for that person

Key Takeaways

Prompt sequences beat single prompts: Don't ask AI to write an email in one shot - take it through a logical chain: research first, synthesize, compare data points, then write. The output quality is dramatically better
Only-for-that-person test: If an email could be sent to anyone, it won't land. Build research that identifies what signals to look for over the next six months - content that can only be written for that specific person
Chef metaphor for AI trust: Your chef should design the menu and train the kitchen staff. If the chef has to taste every dish before it leaves, the system isn't working. Build a process you can trust, then spot-check rather than edit everything
Copywriting fundamentals still matter: Coming from agencies writing about boring products (Microsoft security software in 2006), the skill of creating connection and understanding what the person on the other side is thinking remains the foundation
Don't tweak the output, fix the process: When AI output isn't right, don't edit the email - go back and fix the prompt sequence. Tuning the system produces consistently better results than manual editing

Dave Prager,

Vibe Coding, AI Copywriting, Prompt Sequences, Hyper-Personalization, Outbound Email, AI-Assisted Marketing, B2B Sales Messaging

Strategies, insights, and best practices for person-level visitor identification and AI-powered go-to-market.

GDPR

CCPA