Claude Academy
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Why multiplayer AI matters

Lesson 17 min
In this lessonBy the end, you’ll be able to
  • Explain how work changes when your team moves from single-player AI to multiplayer AI
  • Identify the specific team norms that help multiplayer agents support your team effectively

Meet the Lantern team, a group about to launch a health tracker app. To date, they've been using AI in single-player mode. See how that impacts their work, especially as the team grows.

From super suit to shared room

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Single-player AI is like putting on a super suit at work: it makes you faster on your own tasks, but information can get siloed easily. When agents and humans on a team work in a shared space together, that dynamic changes.

When someone asks AI to summarize the decisions from the meeting or update the calendar, every human and agent in the shared space can see it.

Over time, this becomes knowledge the team can build on. It allows humans and agents to work proactively in service of a common goal.

Try it: see the impact of moving from single-player AI to multiplayer AI

Drag the team size and switch how the team uses AI. Watch what gets duplicated.

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Key takeaways

  • Single-player AI speeds up an individual, but it can also silo information from the team. Multiplayer AI ensures that humans and agents work side by side with shared context.
  • The faster a team grows, the greater the impact siloed context can have on agent performance.
  • When agents and humans work together in a shared space, agents are able to be more proactive and personalized.

Exercises

Find your team's repeats

Why? You just watched repeat answers pile up on a made-up team. Now find yours.

  1. List three questions your team asks most weeks.
  2. Open the prompt below and paste the list in.
  3. Keep the answer for the last lesson.

I lead a team of [number] people and today we each use AI on our own. Here are three questions that come up on our team most weeks: [paste your list].

For each one, ask me who else on the team probably asks it too, then describe what goes wrong when our answers differ. Finally, say what would change if one shared AI agent like you answered it once where everyone could see it. Keep it to a short table.

Lesson reflection

  • Where has single-player AI made you faster in a way the rest of your team never sees?
  • If an agent could see your team's shared space today, what would you want it to notice first?

What's next

Next: what a multiplayer agent is made of, part by part.