The concepts,
in plain language.
No jargon, no hype, short explainers on the ideas behind a digital brain, written by someone who builds them with business owners every week. Each one ends where the work starts: a free session, or a free tool to try it yourself.
Start here.
What is a digital brain?
The store of what your business knows, wired so AI answers with your context.
What is a knowledge graph?
Information as dots and lines, entities and the relationships between them.
Knowledge graph vs RAG
Relationships vs similarity, when to use each, and why many builds use both.
What is an AI agent?
An LLM with tools and goals that takes action, not just a chatbot.
What is an MCP connector?
The universal adapter between your AI and your tools and data.
What is a RevOps churn radar?
A system that flags at-risk accounts early, with the reason.
Who it's for.
For consultants
Your frameworks and voice, on tap, so the AI drafts like you.
For business coaches
An assistant agent that answers from your method, in your voice.
For agencies
A shared brain so the whole team answers from one source.
For solo founders
Agents that take the repetitive ops off your plate.
AI for RevOps teams
Turn your methodology into a churn and revenue radar.
Tool choices, honestly.
Neo4j vs FalkorDB
Ecosystem vs speed and cost, from someone who builds on both.
n8n vs Make
Control and code vs quick and visual.
Build vs buy: AI agents
Buy the commodity, build your edge.
Claude Opus 4.8 vs Fable 5
I built the same brain with each model. Which one is better to think with?
Digital brain vs connectors
Why AI gets lazy across your tools, and a graph does not.
Knowledge graph vs text files
Obsidian-style notes and a graph, better combined than compared.
Other ways in.
How to build it.
Rather build than read?
The fastest way to understand any of this is to build it. Join the next free Mastermind, or try Brain Graph.