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​Build a compounding knowledge engine - Paul Iusztin

​Imagine giving your AI agents a true long-term memory where every piece of information they learn builds on the last. Instead of starting from scratch every session, your agents can rely on a structured, self-updating knowledge base that makes them faster, smarter, and remarkably cost-effective.

​Join us for this hands-on coding workshop where we’ll build an LLM Wiki: an agent-maintained Second Brain that synthesizes domain knowledge once and compounds its value over time. Together, we’ll build an end-to-end system that elevates scattered notes, GitHub repos, and transcripts into a clean, cross-referenced memory layer that transforms how your agents reason and retain information.

​We’ll cover the following steps:

  • ​Design a structured markdown hierarchy with index.md files and automatic cross-links to organize core agent memory.
  • ​Create automated workflows that instantly convert scattered sources into clean, synthesized knowledge artifacts.
  • ​Equip your agents with specialized skills to continuously summarize, categorize, and reason over complex topics.
  • ​Build efficient retrieval and auto-update loops to keep your agent's wiki naturally fresh as new data arrives.

​By the end of this workshop, you’ll be able to deploy a local, persistent AI Research OS that equips your agents with long-term memory, unlocking continuous learning and building a personal knowledge engine that gets smarter with every single session.

​About the Speaker:
​Paul Iustin is the author of the bestseller LLM Engineer’s Handbook, lead instructor of the Agentic AI Engineering course, founding AI Engineer of a San Francisco start-up, and obsessed with making knowledge accessible through AI.

​With over 10 years of experience and 20 apps shipped, he teaches AI Engineering as he wanted to at the beginning of his career. End-to-end. From idea to production. From data collection to deploying, monitoring, and evaluation. With a focus on AI principles, software patterns, and infrastructure systems that will thrive in a future dominated by AI coding tools.

​His ultimate goal is to help other engineers escape PoC purgatory and 10x their AI Engineering skills.

**Join our Slack: https://datatalks.club/slack.html**
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