Humans spent 30,000 years pretending to talk to god. And for some reason the ambition of most workplace AI agents stops at replacing Jake from accounting.
If you're building agents, you're choosing between two futures.
๐ฃ๐ผ๐น๐-๐ฎ๐ด๐ฒ๐ป๐๐ถ๐ฐ: One agent per function. A copy-paste of your org chart.
๐ ๐ผ๐ป๐ผ-๐ฎ๐ด๐ฒ๐ป๐๐ถ๐ฐ: One agent that knows the whole company and adapts to the person/task.
The poly-agentic model is a human-centric projection onto machines. We have separate departments because humans have limited bandwidth. A salesperson can't also be an engineer. Communication between humans is expensive and difficult, so we keep each person's scope narrow.
But agents don't have limited bandwidth the way people do. With a proper memory solution, one agent can hold everything sales, engineering, and support knows simultaneously, with perfect recall. An omniscient, omnipresent agent that works on your company vision.
Most workspace agent providers are still trying to push the poly-agentic model, one agent per function. ๐๐๐ ๐๐ต๐ ๐๐ผ๐๐น๐ฑ ๐๐ผ๐ ๐๐ฎ๐น๐ธ ๐๐ผ ๐๐ฎ๐ธ๐ฒ ๐ณ๐ฟ๐ผ๐บ ๐บ๐ฎ๐ฟ๐ธ๐ฒ๐๐ถ๐ป๐ด ๐๐ต๐ฒ๐ป ๐๐ผ๐ ๐ฐ๐ผ๐๐น๐ฑ ๐๐ฎ๐น๐ธ ๐๐ผ ๐ด๐ผ๐ฑ?
At Hyperspell, our agent Cubert lives in our group chat. He doesn't have a "sales mode" and an "engineering mode." He knows what's going on across the company, and when I ask him about a customer issue, he pulls from the same knowledge graph as when
@contextconor asks about a product roadmap question.
๐๐ฒ๐ฐ๐ฎ๐๐๐ฒ ๐ถ๐'๐ ๐๐ต๐ฒ ๐๐ฎ๐บ๐ฒ ๐ธ๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ. ๐๐'๐ ๐ผ๐ป๐ฒ ๐ฏ๐ฟ๐ฎ๐ถ๐ป.
Build one agent that knows everything. Make it act differently depending on who's talking to it and what they need. It knows the whole picture, so it adapts.
You don't need more agents. You need one that understands your company the way a chief of staff or trusted advisor does.