LLM Knowledge Bases: a practical guide

Official Schedule Context

Putting thoughts to paper (or keyboard, or transcription model) refines your thinking, connects

ideas, and pulls context out of your brain for others to learn from. But while taking notes can be

fun, organizing those notes is not. Flat lists turn to folders turn to tags and taxonomies that grow

unwieldy beyond the first hundred entries. If you can’t find what you wrote down yesterday, or you

miss connections to related ideas, you’re missing the value of notetaking: learning from what you

notate. Agents dramatically expanded what’s possible here. Combined with Markdown-backed apps like

Obsidian to make notes agent-accessible, you can build a second brain that works for you, not the

other way around. Andre Karpathy has popularized LLM knowledge bases, and I want to take it further

with concrete workflows you can use to organize your thoughts with agents. We’ll explore a number of

Obsidian workflows to make this possible: - Automations to organize notes with tags, folders,

backlinks, and deduplication to level-up search and discovery - More automations to have agents

expand your thinking by auto-recording ideas while you sleep - Building an agentic writing partner

to surface related ideas in real time and answer questions as you type (or as you speak) - Voice

monologuing and summarization tools to lower the friction of transcibing thoughts into well-

formatted notes You’ll walk away with a new appreciation for notetaking, and a second brain that

leaves you 10x smarter than your brain alone. Talk format: Code and live tech demos. I will set up

all of these automations and tools from scratch, and show agents executing each of them live. I will

share the source for all automations as well.

No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

Pending transcript synthesis when an official recording or confirmed matching video is available.