I have been playing with something similar and I see these types of projects all the time. My criticism of things like this is that they seem to rely heavily on the ~*~magic~*~ of LLMs to do everything and try to paper over gaps with major hand-waving on everything beyond "agents do everything" when in reality, the most critical part is agents NOT doing much and relying on 'boring' deterministic backbones in an automatic fashion.

A good version of this kind of system would be pushing as much LLM magic out of the core and having solid internal tools that personas/agents _happen_ to have access to. So rather than having one big messy ball of ~*~magic~*~ where it burns tokens trying to invent strategy and keep track of every thread via memory, you have a few personas that manage specific tools to gather information about the world and outlay of the company. Inside those specific tools/platforms, you can have ~*~magic~*~ to do things deterministic code can't while still keeping the magic halves of CMO and copywriter separated by a deterministic concern-specific platform so structure is consistent and enforced by strongly typed code.

The model I think many go after is a strong monolith when the idealized 'autonomous company', in my opinion, should be decentralized and largely tool-driven rather than agent-driven along with not re-inventing the wheel / pushing third-party integrations out to the edge or later in the roadmap. It's a lot easier and better to just write an MCP against Linear than re-inventing the wheel on a todo app basically.

Let me know if that is your design because whenever I look at stuff like this, especially the broad promises of an autonomous company, all I can think about is just a slop factory that produces even worse slop the longer you run it due to agents running away and inventing new things.