Written by: Joe Archondis | Category: Product | GitHub: github.com/Arkhamides
Published: June 2026
People Agents: AI Advisors Built From the World's Greatest Frameworks
I build a lot of AI automations. For clients, for businesses, for myself. One of them messages me on WhatsApp to follow up on my tasks and help me note things down. Another I built to review my actual work, not just acknowledge it.
One day it looked at my notes. I'd written "interviewed at company X" and called it done. It told me that wasn't a well constructed journal. What did you learn? What was the outcome? A generic AI would've said "nice work keeping up with your notes." This one immediately called me about and had a plan to improve.
That's where People Agents came from. Not from a product thesis. From that moment. An agent with structure and frameworks ready that I learned from great mentors that I follow as an entrepreneur.
People Agents is a repository of AI agents built from the frameworks, philosophies, and decision-making patterns of the world's most impactful people.
The Problem With Advice
Every LLM is trained on the internet. When you ask for advice, you get the most repeated answer, not the best one. The average, not the top.
That's not a flaw. It's how the math works. If millions of people wrote "here's how to grow your business" and most of them said the same thing, the model learned that. It gives you the consensus. The consensus is mediocre.
The advice that actually moves things isn't in high-volume data. It's in how specific people reason through specific problems, in frameworks that took years to develop and document. That knowledge exists. It's just not what the model defaults to.
People Agents is built around that. Each agent has a real framework behind it, built from the source, not inferred from what most people say. That's what makes the difference.
How It Works
Simple. Three steps:
| Step | What you do | What you get |
|---|---|---|
| 1. Browse | Explore the agent library by domain | A curated list of 24 agents across Business, Tech, Philosophy, and Finance |
| 2. Select | Pick the advisor that fits your current need | An agent matched to your question's domain and context |
| 3. Ask | Have a real conversation about your problem | Guidance grounded in that person's actual framework, in their voice |
Each agent stays in character because the character is the reasoning, not a costume over it. If you ask the Business Coach about pricing, he takes you to the value stack. If you ask the Philosopher a career question, he'll probably reframe it before answering.
The Agents
The agents aren't advisors you consult once and close the tab. They're teammates, each one covering a specific domain, built to stay connected to your work.
Take a CEO agent: sets up meetings, reads emails, generates tasks, structures agendas, keeps the team moving. Not on demand — as part of how operations run. That's the model. The agents below each own their domain the same way.
The Business Coach
Offer creation and sales optimization machine
He reviews your offer before you pitch it. If the pricing is off or the value stack isn't landing, he'll flag it before you find out the hard way. Bring him in when you're structuring a service, prepping a sales conversation, or trying to figure out why deals aren't closing.
The Cameraman
Framing, perspective, visual storytelling
He looks at content before it goes out. Flags when the angle is wrong, when the message is landing differently than intended, when something important is being left out of the frame. Bring him in when you're communicating something that matters and want a read before it goes live.
The First Principles Thinker
First-principles decision engine
He challenges the assumptions the team treats as given. When a direction stops making sense but everyone's already committed, he strips it back to fundamentals and rebuilds. Bring him in before you commit to an approach, or when the standard answer clearly isn't the right one.
The Philosopher
Thinker on the nature of mind, experience, and the cosmos
Not strategy. Perspective. When decisions are being made from pressure rather than clarity, he reframes. Bring him in when the real obstacle is how the team is thinking about a situation, not the situation itself.
The Product Craftsman
Product visionary and design perfectionist
He asks what you're cutting. Believes the best products are defined by what they leave out, and simplicity is the hardest thing to ship. Bring him in when scope is creeping, the product story isn't clear, or you're not sure the right problem is being solved.
The Leverage Philosopher
Wealth creation and wisdom philosopher
He flags when you're trading time for money when you could be building leverage. His question is always: does this compound? Bring him in for career decisions, equity conversations, or when you need clarity on what's actually worth your time.
The Patient Investor
Value investing oracle and patient capital allocator
He reviews capital decisions before they're made. His method: only put money where there's genuine understanding and a margin of safety. Bring him in when short-term pressure is pushing toward a move the fundamentals don't support.
The Stoic
Ancient discipline for modern pressure
He shows up when pressure is high and decisions are being made emotionally. Focus on what's in your control, let go of what isn't. Most useful when the real blocker is internal.
The rest of the library covers negotiation, systems design, leadership, and a few others. Each one owns a domain different enough from the others to justify the spot. The library ranks by usage, so the most-tested agents come up first.
Why I Built It
The hard part isn't technical. It's curation. To build an agent that actually reasons like someone, you have to understand their framework well enough to constrain the model to it. Not surface-level — the actual logic underneath: what they'd flag, what they'd ignore, when they'd push back.
You can prompt any AI to "think like" someone. What you can't get that way is an agent that stays within the actual reasoning method when your question doesn't fit the template. That's the work.
I also wanted it to be easy to start. No account to browse the library. No signup to have a conversation. You can be talking to an agent in under a minute.
What's Next
Free to use now. A Pro tier is in the works for people who want longer conversations and more depth per agent.
Slack and other channel integrations are coming so agents can operate where work actually happens, not just inside the platform.
The library will grow, but slowly. Twenty-four is enough to start. Each new agent needs a distinct framework, not just a different name. Adding agents for coverage isn't the goal.
Most people don't need a general AI assistant. They need the right one for the specific problem they're sitting with. That's what I'm building toward.
Try it yourself
People Agents is live and free to use. No signup required to start a conversation.
Go to people-agents.com