People Agents: AI Advisors Built From the World's Greatest Frameworks

Most of what I build runs in the background — trading systems processing orders in microseconds, blockchain contracts settling value across distributed networks. The work is technical and the feedback loop is mostly data. People Agents is different. It's the product I built because I kept running into the same problem: I needed a second opinion, and the person I wanted to ask wasn't available.

Not a generic opinion. A specific one — grounded in a framework I respected, from someone who had already worked through the kind of problem I was facing. Sometimes that's a sales question. Sometimes it's a product decision. Sometimes it's a harder question about direction, leverage, or what to say no to.

The insight behind People Agents is simple: the frameworks already exist. The great business builders have spent years documenting exactly how they think about offer creation and growth. The philosophers have articulated coherent systems for wealth, leverage, and how to live. The investors have given the same principles in different forms across decades of letters, interviews, and public writing. The knowledge is public. What's missing is a way to engage with it dynamically — to ask it a question about your specific situation and get an answer in character.

People Agents is a repository of AI agents built from the frameworks, philosophies, and decision-making patterns of the world's most impactful people. On demand. In character.

The Problem With Advice

Good mentorship is unequally distributed. If you grew up around founders, you absorbed how they think. If you were in the right rooms early in your career, you internalized frameworks that most people never encounter. For everyone else — the founder working alone, the builder without a network, the person making their first real business decision — the access gap is real.

The typical alternatives fall short. Googling "how to create an irresistible offer" surfaces a hundred blog posts that restate the surface-level ideas without the reasoning underneath. Books get you closer, but they're static — they can't engage with your specific context. Asking a friend gets you their opinion dressed up as expertise they may not have.

What people actually want is to ask the person who solved the problem — and get an answer that stays true to how that person actually thinks. That's what People Agents is built to do.

How It Works

The product is intentionally simple. There are three steps:

Each agent is built to stay in character — not just to sound like the archetype, but to reason like them. The goal isn't mimicry. It's fidelity to the framework. If you ask the Business Coach about pricing and his framework says focus on the value stack, the agent takes you there. If you ask the Philosopher a career question and his instinct is to reframe it entirely, the agent makes that move.

The Agents

The library currently has 24 agents spanning four domains. Here are some of the most-used:

The remaining agents span disciplines from negotiation and systems design to creativity and leadership. Each has a framework coherent enough to be useful and distinct enough from the others to earn its place. The library is ranked by conversation volume, so the most-tested agents surface first.

Why I Built It

The honest answer is that I was using this kind of thing informally already — pulling up a quote to think through a decision, asking "what would the Business Coach say here" before pricing something, re-reading passages from the philosophers when thinking about what to work on. The pattern was consistent enough that it felt worth building properly.

What I wanted to build wasn't a chatbot that impersonates people. It was something closer to a thinking tool — a way to engage with a specific intellectual framework on a specific problem. The character is a feature, not the point. The point is fidelity to how these people actually reason.

The technical side is straightforward. The hard part is the curation: understanding a person's framework well enough to represent it accurately, choosing the agents that cover the domains people actually need help in, and building the experience so that switching agents feels natural — because different questions call for different advisors.

I also wanted it to be genuinely accessible. No account required to start. The library is browsable without login. You can be talking to an agent in under a minute.

What's Next

The current version is free to use. A Pro tier is in the works — designed for people who want deeper access, longer conversations, and agents with more domain-specific depth.

The library will grow deliberately. I'm not trying to add agents for the sake of coverage — each one needs to have a framework that's coherent enough to be useful, documented enough to be faithful, and distinct enough from the others to justify adding them. Twenty-four is a good number to start. Every agent in there earns their place.

The longer vision is a platform where the gap between "I need to think through something" and "I'm talking to someone who's solved this" is as small as possible. Most people don't need a generalist AI assistant. They need the right advisor for the specific problem they're facing right now.