Posts

Apple’s ecosystem is famously closed. iMessage, Calendar, Notes, Reminders—they all work beautifully together, but getting external systems to interact with them? That’s traditionally been nearly impossible. Until now. By adding a Mac Mini to my PAI infrastructure, I’ve unlocked bidirectional access to the entire Apple ecosystem. My AI can read my messages, check my calendar, access my notes, and even respond through Siri. Here’s how it works and what it unlocks. ...

I built this system for a friend who runs a consulting business. Running a business means spending more time on invoicing than anyone would like. Creating quotes, tracking expenses, sending invoices, following up on payments—it’s necessary work, but it pulls attention away from actual client work. So I did what any AI-obsessed technologist would do: I taught my AI to handle it. The Goal: AI-Powered Business Operations I wanted my Personal AI Infrastructure (PAI) to be able to: ...

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. ...

I’ve been documenting my journey building Personal AI Infrastructure (PAI) on this blog, sharing what I’m building and how I’m doing it. But I haven’t really explained why I’m doing any of this. The Practical Reality I’m not building PAI because it’s fun (though it absolutely is). I’m building it because I’m doing everything I can to prepare myself to support my family in a world where AI might make what I do now obsolete. ...

There’s something magical about an AI that can actually speak to you. Not through a chat interface, not through notifications on your phone, but through the speakers in your home, with a voice that has personality. Today I’m excited to share how I gave PAI (my Personal AI Infrastructure) the ability to speak - using local, GPU-accelerated text-to-speech that runs entirely on my own hardware, with 28 unique voice personas to choose from. ...

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? ...

What if your AI assistant could create images? Not generic stock photos or simple icons - but custom visuals that match your aesthetic, illustrate your ideas, and enhance your content. That’s what I built today: an Art skill for my Personal AI Infrastructure. This post is a show-and-tell of the images Pal created in our first session together, including the prompts that generated them. No technical tutorial - just a visual journey through what’s now possible. ...

Most AI tools treat every conversation like you’re a stranger. You explain your context, your preferences, your constraints—over and over again. PAI changes that. Personal AI Infrastructure (PAI) is a system that wraps AI with your context. It remembers your projects, knows your preferences, and can be extended to handle whatever you need. And the best part? It’s built on simple building blocks that anyone can understand and customize. ...

Every system I’ve built for my Personal AI Infrastructure stands on a foundation I didn’t create. That foundation comes largely from the work of one person: Daniel Miessler. This post is both a thank-you and a guide for anyone wanting to understand the incredible resources Daniel has shared with the world. Who Is Daniel Miessler? Daniel is a cybersecurity and AI engineer based in the San Francisco Bay Area who’s been writing online since 1999. He runs Unsupervised Learning, a newsletter and podcast read by over 95,000 subscribers including people at OpenAI, NVIDIA, Apple, and Google. ...

I have a demanding career. I manage customer experience analytics at Agilent Technologies. I teach at two universities. And I’m deeply involved in AI infrastructure development. But none of that matters if I’m not present for my family. My wife Tiffany and I have two daughters - Ellie (9) and Tessa (5). Between dance classes, swim lessons, gymnastics, and the endless logistics of family life, staying organized is a challenge. Staying present is harder. ...