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#66: How MCP enables AI to know you better | Mike Bal (Head of Product and AI @ David’s Bridal)
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#66: How MCP enables AI to know you better | Mike Bal (Head of Product and AI @ David’s Bridal)

A deep dive into building personalized AI workflows, local memory systems, and how MCPs unlock next-level product work.

Listen now: Spotify, Apple and YouTube

What if you had a personalized AI toolkit—not just a chatbot—that actually remembered your projects, your workflows, and even your family’s preferences?

In this episode, Marc and Ben sit down with Mike Bal, a product leader experimenting at the frontier of AI tooling. Mike shares how he built a local memory system for Claude using Model Context Protocols (MCPs), enabling persistent knowledge graphs that connect everything from his product designs to his family’s vacation plans. They walk through how it works—step-by-step—including a live demo of Fleur (essentially a mini app marketplace to make it easy for non technical people to add MCPs to Claude), how Mike structures entities and relationships, and why this setup beats traditional RAG approaches for real-world usage.

If you’ve ever wanted your AI to truly understand you and the work you do—or you're curious how a product leader uses AI to streamline everything from design reviews to family logistics—this episode is packed with real-world inspiration and actionable examples.

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In this episode, we covered the following topics:

  • (02:08) Why traditional RAG setups break down—and how knowledge graphs offer a more reliable foundation

  • (6:55) What MCPs actually are and why they’re more like a toolkit than an API reference

  • (11:45) Installing Fleur: the dead-simple way Mike connected Claude to a local memory system using MCPs

  • (15:30) Why traditional APIs fall short—and how MCPs give AI tools structured, usable context

  • (28:52) Live demo: How Claude pulls memory from a local knowledge graph—personal details, podcast history, and more

  • (35:28) A real-world example of how Mike planned a family trip using AI memory, including dietary needs and activity preferences

  • (44:10) How Claude’s memory MCP compares to project instructions and system prompts

  • (52:32) How Mike uses memory graphs for PRD reviews, user pain points, and feature validation

  • And more!


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