Introducing @Project0AI : World’s first zero-person company 👌
Most AI apps today are chatbot wrappers.
Project Zero is not an app.
It's an autonomous multi-agent architecture
where tasks spawn full-stack AI employees
inside isolated cloud sandboxes
equipped with tools, budgets, and real-world integrations.
Each agent is created with a specific task.
It gets:
- Its own E2B sandbox (filesystem, bash, internet)
- Access to Claude via VibeKit
- Native tools: Notion, GitHub, Figma, Mailchimp, Gmail, Calendar, LinkedIn, and more.
Agents run independently.
They research.
They write code.
They design, deploy, launch marketing campaigns
and ship real work.
All outputs are streamed in real-time to a live frontend (Next.js + InstantDB).
No refresh. No lag. No humans.
What’s under the hood?
- Claude + MCP agent routing
- x402 protocol for payments
- Real tool integrations (not just APIs, but real-time usage)
- Onchain budget tracking
- Instant deployment of work products
A machine-to-machine economy powered by agent labor.
Zero humans. Infinite output. 👌
$ZERO presale is now live on https://t.co/lgweFkAnD0
AI Capital markets
Every decade, a new abstraction unlocks the next generation of companies.
In this decade and the ones ahead that abstraction layer is agentic.
Capx is the operating system.
Capx Casa is your control center.
We’re giving away $10,000,000 to founders building agent-first businesses.
Autonomous, proactive agents will run tomorrow's companies.
We're backing 500 founders building them.
The Founding 500.
https://t.co/u8mxRWEXiT
Most agents today are missing one thing:
economic awareness.
They can generate text.
Call APIs.
Chain tasks.
But they still can’t answer basic questions like:
- Is this action worth the cost?
- Should I wait?
- Is this task profitable?
- Should I reject this request?
Future of agents probably looks less like chatbots and more like markets.
Agents hiring other agents.
Negotiating prices.
Competing for tasks.
Optimizing margins in real time.
Just software making economic decisions at machine speed.
Most agents today are missing one thing:
economic awareness.
They can generate text.
Call APIs.
Chain tasks.
But they still can’t answer basic questions like:
- Is this action worth the cost?
- Should I wait?
- Is this task profitable?
- Should I reject this request?
The fix probably doesn’t come from better prompting.
It comes from giving agents:
- budgets
- pricing signals
- memory of losses
- permission to say no
Right now most agents are rewarded for execution.
Interesting thing happens once agents control finite resources
Speed is no longer a competitive advantage.
It is a baseline expectation.
Anything slower than the market gets bypassed.
@Project0AI is built to match clearing speed.
Speed is no longer a competitive advantage.
It is a baseline expectation.
Anything slower than the market gets bypassed.
@Project0AI is built to match clearing speed.
Pricing used to require context.
Now it emerges from competing execution.
Tasks find their own market rate.
@Project0AI does not negotiate.
it observes and routes.
Most software still assumes a human in the loop.
Clicking, approving, routing.
When that assumption breaks, the interface disappears.
@Project0AI does not wait for interaction.
it executes.