Michal Peled is a Technical Operations Engineer at HoneyBook who specializes in building internal tools and automations that eliminate friction for teams. In this episode, Michal demonstrates three practical AI use cases: using ChatGPT’s agent mode to automate LinkedIn recruiting, transforming customer research into interactive AI personas, and creating a custom calendar solution for a very San Francisco–specific problem—avoiding expensive parking during Giants games.

What you’ll learn:

How to use ChatGPT agent mode to automate LinkedIn recruiting and find high-quality candidates that manual searches missed
The step-by-step process for turning static customer research into interactive AI personas that product and marketing teams can actually use
Why NotebookLM excels at creating prompts from source material with proper citations
How to structure agent-mode prompts to create effective “little helpers” that follow your exact workflow
A practical framework for improving your prompts when AI tools aren’t giving you the results you want
How internal tools teams can drive massive impact by focusing on eliminating friction in everyday workflows