You open your team chat. Forty-seven unread messages in the general channel. Half are random links, a quarter are inside jokes, and the rest are arguments about a project you don’t even touch. You scroll, you sigh, and you realize you have absolutely no idea what is actually going on.
We’ve been sold a lie. The tech industry tells us that if we just share more context—if we dump everyone into the same Slack channel, the same Notion doc, or the same massive AI prompt—our teams will magically align. But context isn’t a commodity you can dump into a shared bucket. It’s an emergent property of relationships. When you scale shared context, you don’t get clarity. You get noise.
Think about your closest working relationship. You don’t need to explain everything. A single emoji or a two-word message is enough. That’s because your context is built on shared history and specific relational dynamics. Now, add five more people to that chat. Suddenly, you’re writing paragraphs to explain the backstory. Add fifty, and the channel goes dead because nobody wants to trigger a notification avalanche.
The paradox of collaboration is that the more people you force into a shared context, the more diluted and useless that context becomes. We are terrified of being out of the loop, so we subscribe to everything and absorb nothing.
Now, we are dragging this broken human problem into our AI tools. We are trying to build AI agents that sit in our group chats, ingesting everything, hoping they will magically understand the team’s context. It won’t work. If a human can’t parse the mess of a 50-person channel, an AI agent will just hallucinate a confident, expensive mess.
The bottleneck isn’t that we need better tools for sharing context. The bottleneck is that context is inherently personal. Context cannot scale with the number of people. It must scale with the number of relationships.
We need to stop building tools that force human-scale synchronization. We need to design agents that maintain context per relationship, not per group. Imagine an AI agent that knows exactly what *you* need from a project, acting as a boundary between you and the chaotic noise of the broader team. It doesn’t need to know what the marketing intern thinks about the API; it only needs to know how the API impacts your specific workflow. It manages the boundary, so you don’t have to.
We don’t need bigger rooms with louder voices. The future of collaboration is a system that finally knows who you are, and protects you from everyone else.
FAQ
Q: What's wrong with just putting an AI agent in our group chat to summarize everything?
A: It creates a false sense of understanding. A summary of a noisy room is still just noise. The agent will miss the nuanced, relational context that actually drives decisions, leaving you with a sanitized version of the chaos.
Q: How do we build tools that manage context per relationship?
A: Stop designing systems that ingest every message. Design agents that act as boundaries—filtering team noise and maintaining context only for the specific workflows and relationships relevant to the individual user.
Q: Isn't reducing shared context just creating dangerous silos?
A: No. Silos hide information. Relational context filters information so you only interact with what actually matters to your role. It's the difference between being locked in a dark room and having a great personal assistant.