Ambition shouldn't require an army.

There has always been an unfair equation at the heart of getting things done: ambition multiplied by people equals outcomes. Great ideas need capable teams. Capable teams need capital. So only people with access to money get to execute on their ambitions.

AI agents are changing the scarce variable. Digital employees can receive a task, make decisions, execute, and deliver completed work. Not as a tool that assists a human, but as a workforce that does the work. Software engineering is the leading edge, but it's happening across market research, financial analysis, content, legal review, and operations.

Every idea deserves a team. For the first time, that's becoming possible.

Individual agents produce impressive work. Teams of agents produce chaos. Code that contradicts architectural decisions from last month. Analysis that duplicates work another agent already completed. Models built on assumptions that conflict with other models built last week.

The root cause is always the same: intent was never codified, transmitted, or kept alive. Agents don't remember previous sessions. They don't know why the system was designed the way it was. They receive a prompt, fill gaps with assumptions, and execute. Nobody checks whether the output matches what was actually intended.

The models are excellent. The infrastructure to make them work as a team is absent.

The funded competitors in this space are building proprietary platforms and selling digital employees as a subscription. That's a viable business, but it recreates the same inequality the technology should be dissolving. If only well-funded companies can afford the agent management infrastructure, the equation doesn't actually change.

The protocol layer must be open for the same reason HTTP is open: the infrastructure for a new mode of work should not be owned by any single company. We build the commercial platform on top of the open standard and compete on the quality of the experience, not on the lock-in of the protocol.