# Your First AI Team Meeting

> **One-liner:** Run a multi-perspective AI session where one prompt gets you two expert viewpoints on the same problem — no extra tools required.

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## 🔧 Jump in (Tinkerers start here)

Pick a real decision you're currently facing. It could be a work decision, a project direction, or a problem you're stuck on.

Paste this prompt into any AI chat (ChatGPT, Claude, Gemini — anything works):

> I want you to act as two different experts giving me advice on **[your problem here]**.
>
> First, respond as a **[Role A]** — someone who focuses on **[their priority]**.
> Then, respond as a **[Role B]** — someone who focuses on **[their different priority]**.
>
> Keep each perspective clearly labeled. Be specific and give concrete recommendations, not vague advice.

**Example — choosing whether to launch a feature now or wait:**

> I want you to act as two different experts giving me advice on whether to launch our new onboarding flow this week or wait until next month.
>
> First, respond as a **growth-focused product manager** — someone who prioritizes user acquisition and speed to market.
> Then, respond as a **risk-aware QA lead** — someone who prioritizes stability, edge cases, and user trust.
>
> Keep each perspective clearly labeled. Be specific and give concrete recommendations, not vague advice.

After reading both perspectives, send this follow-up:

> Now, act as a **neutral facilitator**. Summarize where these two experts agree, where they disagree, and what the key trade-off is. End with a single question I should answer before making my decision.

Read the synthesis. Notice how one prompt gave you a structured debate that would normally require two people in a room.

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## 📋 Plan first (Planners start here)

Here's what you're about to do:

1. **Choose your problem** — Pick a real decision or challenge you're working on right now. It works best when reasonable people could disagree about the right approach.
2. **Pick two expert roles** — Choose two perspectives that would naturally see your problem differently. Examples: marketer vs. engineer, short-term thinker vs. long-term strategist, customer advocate vs. operations manager.
3. **Write and send the dual-role prompt** — Use the template in the "Jump in" section. Fill in your problem and your two roles.
4. **Read both perspectives** — Notice where they conflict, where they agree, and which one you instinctively lean toward.
5. **Send the facilitator follow-up** — Ask the AI to synthesize the two views and surface the core trade-off.

**"Done" looks like:** You have a summary of two contrasting expert viewpoints and a clear understanding of the key trade-off in your decision.

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## 🧭 Why this matters (Strategists start here)

This exercise builds the foundational skill behind all multi-agent AI workflows: **defining specialized roles and comparing their outputs**. At the intermediate level, you'll split these roles across separate AI sessions with different contexts. At the advanced level, you'll design entire agent architectures. But it all starts here — training yourself to think in terms of roles, perspectives, and structured disagreement rather than asking AI once and accepting the first answer.

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## Reflection

- Did one perspective feel stronger than the other? Why — was it genuinely better argued, or did it just align with what you already believed?
- What did the facilitator synthesis surface that you hadn't considered?
- Would you use this dual-role technique for real decisions going forward? What types of decisions benefit most?
- 💬 *Run this exercise with a colleague in the room. Have them choose different expert roles than you did for the same problem — the role selection itself reveals different priorities.* (Social Learners)

## ⬆️ Level up

Ready for more? Try [AC-Intermediate-01](/exercises/agent-collaboration/ac-intermediate-01/) — where you'll split these roles across separate AI sessions and learn to manage handoffs between them.

Back to [Agent Collaboration](/pillars/agent-collaboration/)