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What if your AI could build up knowledge about your work instead of starting over every time?
Most AI interactions are disposable. We give an AI some context, it does some work, and much of what it learned disappears.
In this live experiment, we will explore what happens when an AI agent has a knowledge library it can organize, search, retrieve, and use while it works. The idea is simple: your work becomes a library, and the AI needs a way to find the right books at the right moment.
I will use a tiny harness, five basic tools, Markdown, and an LLM to test how little machinery it takes before an AI starts behaving like it has a brain you own.
If you have heard Garry Tan describe G-Brain as “the library plus the librarian” or seen Andrej Karpathy’s LLM Wiki blueprint, you will recognize the breadcrumbs. No background is required. We will focus on the understandable problem: how can an AI compound on knowledge that you own?
The public livestream is a complete experiment. The deeper code, prompts, retrieval choices, provenance questions, and Forge build continue inside Agentic AI Forge: skool.com/agentic-ai-forge
About the Host
Doug Finke is a 16-time Microsoft MVP, author of PowerShell for Developers, and creator of ImportExcel, PSAI, and PSClaudeCode. His work focuses on practical agentic AI: using scripts, shells, CLIs, and AI tools to build repeatable automation.
Learn how to invest in real estate, reduce risk and mistakes, use OPM, and get the support you need to be decisive.
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