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AI for operators
AI Second Brain, Memory and Context Engineering
Agents are only as useful as the context they can reach. These articles cover second brains, agent memory, context engineering, and building a personal AI system around your own notes and data.
Three good places to begin.
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How to Build an AI Second Brain That Actually Runs Your Business (Not Another Notes Graveyard)
An AI second brain captures, organizes, and retrieves everything you know so your agents produce expert output. Here's the system I built and how operators can copy it.
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How to Build a Personal AI Operating System That Actually Runs Your Business
Build a personal AI operating system that combines memory, skills, tool connections, and scheduled routines into one unified system that extends you as an operator.
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AI Agent Memory: How to Build Business Automations That Actually Get Smarter Over Time
Most AI agents forget everything between sessions. Here's how operators build AI agent memory systems that compound knowledge and make every automation smarter.
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All 9 articles, newest first
- AI Personal CRM: How to Build a Relationship Management System That Never Drops a Contact Build an AI personal CRM that captures every interaction, surfaces forgotten contacts, and sends follow-ups automatically. The exact system I run across four ventures.
- How to Build a Personal AI Assistant That Actually Runs Your Business Build a personal AI assistant for business that knows your context, runs your automations, and compounds over time. Not a chatbot — an operating system.
- AI Context Engineering: How to Build Inputs That Make Your Agents Actually Perform AI context engineering is the skill that separates operators who get results from everyone guessing. Here's how to structure agent inputs that compound.
- How to Build a Personal AI Operating System That Actually Runs Your Business Build a personal AI operating system that combines memory, skills, tool connections, and scheduled routines into one unified system that extends you as an operator.
- Context Engineering for AI Agents: The Skill That Separates Operators Who Ship From Those Who Tinker Context engineering for AI agents is the difference between agents that nail it first try and agents that hallucinate. Here's the full system I use across 30+ production automations.
- AI Agent Memory: How to Build Business Automations That Actually Get Smarter Over Time Most AI agents forget everything between sessions. Here's how operators build AI agent memory systems that compound knowledge and make every automation smarter.
- Context Engineering: The Operator's Guide to Making AI Actually Compound Context engineering is the skill that separates operators who get compounding returns from AI from those who start from scratch every session. Here's how to build it.
- How to Build an AI Second Brain That Actually Runs Your Business (Not Another Notes Graveyard) An AI second brain captures, organizes, and retrieves everything you know so your agents produce expert output. Here's the system I built and how operators can copy it.
- Context Engineering: The Skill That Separates Operators Who Get Results From AI From Those Who Get Slop Context engineering is how you structure the information AI agents receive so they produce expert-level output. Here's the practical system I use across Claude Code, Codex, and every automation I run.