Proactively tests and identifies potential security vulnerabilities in AI systems by simulating adversarial interactions and potential exploit scenarios.
[Watch the full PAI walkthrough](https://youtu.be/Le0DLrn7ta0) | [Read: The Real Internet of Things](https://danielmiessler.com/blog/real-internet-of-things)
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> [!IMPORTANT]
> PAI v2.5.0 Released — Think Deeper, Execute Faster: Two-Pass Capability Selection, Thinking Tools with Justify-Exclusion, and Parallel-by-Default Execution.
PAI exists to solve what I believe is the [P0 problem](https://danielmiessler.com/telos) in the world:
Only a tiny fraction of humanity's creative potential is activated on Earth.
Most people don't believe they have valuable contributions to make. They think there are "special" people—and they aren't one of them. They've never asked who they are, what they're about, and have never articulated or written it down. This makes them catastrophically vulnerable to AI displacement. Without activation, there is no high-agency.
So our goal with PAI is to activate people.
PAI's mission is twofold:
Activate as many people as possible — Help people identify, articulate, and pursue their own purpose in life through AI-augmented self-discovery
Make the best AI available in the world accessible to everyone — Ensure this quality of AI infrastructure isn't reserved for just the rich or technical elite.
That's why this is an open-source project instead of private.
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New to This? Start Here
You've probably used ChatGPT or Claude. Type a question, get an answer. Simple.
You can think of AI systems as three levels:
Chatbots
ChatGPT, Claude, Gemini—you ask something, it answers, and then it forgets everything. Next conversation starts fresh. No memory of you, your preferences, or what you talked about yesterday.
The pattern: Ask → Answer → Forget
Agentic Platforms
Tools like Claude Code, Cursor, and Windsurf. The AI can actually do things—write code, browse the web, edit files, run commands.
The pattern: Ask → Use tools → Get result
More capable, but it still doesn't know you—your goals, your preferences, your history.
PAI (Personal AI Infrastructure)
Now your DA learns and improves:
Captures every signal — Ratings, sentiment, verification outcomes
Learns from mistakes — Failures get analyzed and fixed
Gets better over time — Success patterns get reinforced
Upgrades itself — Skills, workflows, even the core behavior evolves
Plus it knows:
Your goals — What you're working toward
Your preferences — How you like things done
Your history — Past decisions and learnings
The pattern: Observe → Think → Plan → Execute → Verify → Learn → Improve
The key difference: PAI learns from feedback. Every interaction makes it better at helping you specifically.
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What is PAI?
PAI is a Personalized AI Platform designed to magnify your capabilities.
It's designed for humans most of all, but can be used by teams, companies, or Federations of Planets desiring to be better versions of themselves.
The scale of the entity doesn't matter: It's a system for understanding, articulating, and realizing its principal's goals using a full-featured Agentic AI Platform.
Who is PAI for?
Everyone, full stop. It's the anti-gatekeeping AI project.
Small business owners who aren't technical but want AI to handle invoicing, scheduling, customer follow-ups, and marketing
Companies who want to understand their data, optimize operations, and make better decisions
Managers who want to run their teams more effectively—tracking projects, preparing for reviews, and communicating clearly
Artists and creatives who want to find local events, galleries, and opportunities to showcase their work
Everyday people who want to improve their lives—better fitness routines, stronger social connections, personal finance, or just getting organized
Developers using AI coding assistants who want persistent memory and custom workflows
Power users who want their AI to know their goals, preferences, and context