Infrastructure

Ever wished your AI could remember every conversation across every platform? Not just the last few messages, but everything - from Signal texts to iMessage threads to voice calls to web chats - all searchable, all accessible, all connected? That’s exactly what we built today. The Problem: AI Amnesia at Scale Personal AI systems suffer from fragmented memory. Your conversations are scattered across: Signal messages and group chats iMessage and SMS threads Web dashboard sessions Voice calls with PAI Email exchanges Meeting transcripts Each silo exists in isolation. When you ask “What did we discuss about that client project?” your AI can only see the current conversation thread. The context from your phone call yesterday? Gone. The planning session in another chat? Invisible. ...

We’ve all been there. You’re using ChatGPT or Claude for quick questions, but the moment you need something more complex—deep research, document generation, or integration with your actual tools—things fall apart. Either the AI forgets context between sessions, can’t access your systems, or simply isn’t designed for the kind of persistent, specialized work you need. On the flip side, powerful agentic systems like Claude Code are incredible for complex tasks but aren’t always “on.” They’re designed for focused work sessions, not the constant stream of messages, reminders, and quick questions that make up daily life. ...

Personal AI Infrastructure has evolved from a simple assistant into a full-fledged cognitive operating system. With version 2.4.0—codenamed “The Algorithm”—PAI introduces a systematic 7-phase problem-solving framework, 28 specialized skills, and a roster of 12 named agents with distinct personalities and expertise areas. This post provides a complete tour of what’s possible. The PAI Algorithm: 7 Phases of Problem-Solving Every task PAI handles follows a consistent methodology: ...

One of the most powerful aspects of Personal AI Infrastructure isn’t just what it can do - it’s who it can serve. The same architecture that transforms my individual productivity can scale to empower a small team, a growing company, or an enterprise with 60,000 employees. The secret? Every user gets their own personalized PAI with their personal context and relevant skills. No shared generic chatbot. No one-size-fits-all solution. Your AI, with your context, working your way. ...

One of the unexpected joys of building a Personal AI Infrastructure is the moment you realize: this doesn’t have to live on just one machine. My PAI runs on a Windows workstation at home. It has all my context, my skills, my workflows, my history. But I’m not always at that desk. Sometimes I’m on my phone. Sometimes my daughter wants to use her Chromebook for homework help. The question became: how do I access PAI from anywhere? ...

I’ve been building what I call Personal AI Infrastructure (PAI) for a few months now. This blog is where I’ll document the journey. The Problem AI tools are everywhere. ChatGPT, Claude, Copilot - they’re useful, but they don’t know me. Every conversation starts from scratch. Context gets lost. Work gets repeated. I wanted something different. An AI system that: Remembers past conversations and decisions Understands my projects, preferences, and constraints Runs locally when I need it to Integrates with my actual workflow The Approach I’m building on Claude Code as the foundation. Not because it’s perfect, but because: ...