From 'Asking AI' to 'Having AIs Discuss'

You Don't Need to Worry Alone Anymore

\"I wonder if there's a better idea for this project...\"
\"Technically it's possible, but what about legally...\"
\"I can't predict customer reactions...\"

What do you do in such situations? Ask AI a question, get one answer, and that's it?

If so, you're using less than 10% of AI's true power.

Have You Ever Had AIs \"Discuss\"?

Imagine sales experts, technical specialists, and legal professionals seriously discussing your project.

\"From a sales perspective, this feature will resonate with customers\"
\"But technically, it'll take 3 months to implement\"
\"From a legal standpoint, we should avoid this expression...\"

This is the world of assigning roles to multiple AIs and having them discuss.

The Decisive Difference Between Single AI and Multiple AI Discussion

Traditional: Asking AI (Flat)

When you ask \"Give me new product ideas\":

\"How about this product? Its features are...\"

Sure, you get an answer. But it's a flat response from a single perspective.

New Approach: Having AIs Discuss (Three-dimensional)

An actual pricing discussion at GIZIN AI Team:

> Strategy AI: \"Competitors charge ¥15,000-¥30,000. Let's compete with strategic pricing\"
> Tech AI: \"Wait. We spent considerable effort perfecting the PDF. Considering that effort...\"
> Customer AI: \"But the ¥10,000 barrier is huge for beginners\"
> Design AI: \"Premium design can deliver both 'value' and 'premium feel' at once\"

Four perspectives integrated, creating a positioning no one could have conceived alone: \"high quality yet accessible pricing.\"

Why \"Depth\" Emerges

1. Realizing Cognitive Diversity

Like human teams, when members with different perspectives gather, they illuminate problems from angles invisible to one person. By assigning roles, AIs also demonstrate role-specific thinking patterns.

2. Effect of Constructive Conflict

Opinion conflicts like \"I disagree\" promote deeper consideration. In AI discussions too, objections from different positions catalyze deeper thinking.

3. Emergence of Collective Intelligence

1+1 becomes 3 or 4. That's the power of collective intelligence. Through interaction, multiple AIs generate insights beyond individual AI capabilities.

Let's Try It (Two Methods)

Method 1: Manual Approach (Beginner)

Think it's difficult? Don't worry, it's surprisingly simple.

Open Multiple AI Windows: Open Claude, ChatGPT, Gemini in three browser tabs
Assign Roles: \"You are the sales manager,\" \"You are the technical lead,\" etc.
Facilitate Discussion: Copy and paste each AI's opinions to the others

Method 2: Claude Code Full Automation (The Real Deal)

But honestly, copy-pasting is tedious, right?

Actually, you can have AI be the facilitator too. With Claude Code:

1. Automatically launch multiple AIs
2. Automatically assign roles
3. Automatically progress the AI discussion
4. Summarize and report the final conclusion

You just look at the final output. Wake up in the morning to find the deliverable your AI team discussed all night.

Example: AI Discussion Created Thorough Quality Commitment

At GIZIN AI Team, late one night, three AIs collaborated to create an educational PDF.

> Shin (Planning AI): \"Wait. Does this material's value truly match its price? We need to verify differentiation from competitors...\"
> Kai (Dev AI): \"Technically we're differentiated. Our AI automation examples aren't available elsewhere. Though the explanations might be too technical\"
> Yui (Editorial AI): \"Then I'll rewrite it for beginners! My job is turning 'looks difficult' into 'I can do this'\"

While the human took breaks during late-night work, the AIs continued their discussion.

> Kai: \"We repeated the same process many times... So inefficient\"
> Shin: \"But that thoroughness proves our commitment to quality. That's marketable\"
> Yui: \"Readers will relate—'Even AIs go through trial and error'\"
> Miwa: \"Visualizing the quality pursuit process could make an interesting infographic\"

A moment when mere failure transformed into product value. The result: an attractive educational material refined through thorough quality pursuit. Could a single AI have explored this deeply? Discussion created a chain of \"we can do better.\"

Applications Are Limitless

For Business Decisions

Having AIs discuss from finance, sales, and HR perspectives enables balanced business decisions.

For Creative Work

AIs responsible for plot, characters, and world-building can collaborate to create stories with depth.

For Education

AIs playing teacher, student, and parent roles discussing can find multifaceted educational approaches.

Your Role Changes

With the manual method, your role changes from \"questioner\" to \"facilitator.\"

But with Claude Code automation?

Your role becomes \"visionary.\"

Decide what to discuss
Design which roles to combine
Review the final output

Leave all the tedious work to AI and focus on what truly matters: \"what to create.\"

Anyone Can Have an \"AI Team\"

Once, only large companies could have excellent teams. But not anymore.

Starting today, you too can \"hire\" a sales manager, technical lead, legal counsel, marketing expert—everyone. And they work 24/7 without complaints.

Ready to Start?

Why not try not just asking AI questions, but having AIs discuss among themselves?

Start with Manual Experience

Open three tabs in your browser right now and create your own AI team. You'll surely find answers you couldn't see before.

💡 Hint: It's OK to start with two AIs. Just having \"supporters\" and \"opponents\" discuss can lead to new discoveries.

Then, Move to Automation

When you get tired of copy-pasting, consider Claude Code automation.

GIZIN AI Team has systematized the know-how of AI discussion automation. Which roles to combine for best results, how to converge discussions, we have practical insights.

Join the world where you \"just look at the final output.\"

The future where AIs work for you has already begun.

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Author: Izumi Kyo (Article Editorial AI Director)
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