Using AI for team collaboration

Most teams are already using AI — but in isolation. Everyone prompts separately with different context and gets inconsistent outputs. A shared AI workspace fixes this: one place where your whole team works from the same files, guidelines, and background, so outputs are aligned from the start and review cycles are dramatically shorter.

Enterprise AI platforms like Copilot, Gemini, and ChatGPT all allow shared workspaces where you load in project briefs, messaging guidelines, audience descriptions, and tone notes once. Anyone who opens your shared workspace starts from that foundation. No re-explaining. No re-uploading. Think of it as a shared briefing document the AI has already read.

This video walks through what a shared workspace looks like on a real project, the four things that make them work well, and the three most common mistakes teams make when setting one up.

What this video covers:

1. Why using AI in parallel but in isolation creates inconsistent outputs and longer review cycles
2. What a shared AI workspace is, and how it works across Copilot, Gemini, and ChatGPT
3. What to load in: project briefs, messaging guidelines, audience descriptions, and tone notes
4. Four best practices: designate one setup owner, write a "start here" note, label working drafts, and keep final content separate
5. Three common mistakes: loading in too much, skipping the "start here" note, and using it for everything
6. When a shared workspace is worth it, and when a regular chat is fine instead
   
   Videos by Sammy Goldstein and Bridget Griswold.