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Getting to Collaborative Cognition: A World Cup Special

By: John Greenstein 6/26/26 12:47 PM

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John Greenstein, CEO, explores an AI-enhanced shared Workspace in the wild!

I got a lot of great feedback on my last blog post about how the future of AI work isn’t going to be accomplished through “Chat,” but rather with an AI-enhanced shared Workspace (powered by Bluescape, or course!).

One individual seeking more clarity asked if I could walk through a detailed use case.

Let’s go!

The indispensable role of visual collaboration

Humans have always collaborated visually to create clarity on complex tasks. Consider:

  • Whiteboards

  • Maps

  • Sticky notes

  • Architectural diagrams

  • Flight plans

  • Battle maps

Visual collaboration is not a convenience, but how humans build shared mental models.

Graphic -- Getting to Collaborative Cognition A World Cup Special

A specific complex scenario that requires visual collaboration? Securing a stadium for a big game, like a World Cup match.

Many agencies must to coordinate to ensure World Cup game-day security—State and Local Law Enforcement, FBI, DHS, etc. Information must radiate from those agencies out to security teams, as well as FIFA, local individuals, and the individual teams themselves.

AI chat can help answer questions for each individual, but where should these AI-generated insights live?

To build an operational (and actionable) plan, there will be scores of automated inputs from sources like:

  • Intelligence AI Agent Analysis

  • Automated Threat Analysis

  • Logistics AI Agent Coordination/Scenario Modelling

  • Dynamic Weather Agent/Atmospherics/Traffic Planning Agents

  • Operational Planning Optimization Agents

When all these AI Agents collaborate, the optimal way for them to communicate their outputs is to visually place results in a shared workspace so that the humans managing the program can create a shared understanding and agree on mission execution.

To achieve that shared understanding, the visual output must be dynamic.

Imagine multiple diagrams, and every box in each diagram is alive.

  • Clicking a node reveals evidence.

  • Dragging a connection changes assumptions.

  • Launching a new agent generates alternatives.

  • Humans and AI iterate together continuously.

The workspace becomes less like software and more like a digital war room... a place where thinking itself is externalized.

The MCP-enabled Bluescape Workspace makes the scenario above a reality.

The MCP-enabled Multiplayer Workspace changes everything

The combination of MCP servers and collaborative workspaces finally closes the complex planning loop:

  • Agents generate insight.

  • Humans generate judgment.

  • Together they generate understanding.

This is far more powerful than chat, because decisions are rarely made from text alone. They are made from shared context.

Why Bluescape is ideal for AI interaction

Most AI platforms were designed around conversation. Bluescape was designed around collaboration.

That distinction matters enormously.

As MCP-connected agents begin generating content and workflows, organizations need environments where humans can interact with those outputs safely and collectively.

Want to know more? Keep those questions coming!