A Guide to Building Personal AI Infrastructure
This article presents a systematic guide to building a personal AI digital assistant based on Daniel Miessler's Personal AI Infrastructure (PAI) framework. The core thesis: don't start with tools, start with yourself. It covers the TELOS identity system (10 Markdown files defining mission, goals, beliefs, etc.), a three-tier memory architecture (hot/warm/cold), a decision priority chain (goal → code → CLI → prompt → agent), a user/system separation directory design, and an event hook system. It emphasizes that architecture matters more than model choice—a good context management system with an ordinary model often outperforms a top model without context. Suitable for engineers and knowledge workers who want to build a personalized, continuously learning AI assistant.