Content rating
Everyone
10+
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Content rating
Everyone
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About this game

Dual AI Reversy is a next-generation Reversi (Othello) app that allows you to freely combine user, CPU, and external AI for matches.

In addition to the common "user vs. CPU" matchup, you can enjoy matches in any combination, including AI vs. AI, CPU vs. AI, and user vs. AI.

Because it can utilize an external AI server (LLM) as its thinking engine, it provides an ideal experimental environment for researchers, developers, and AI enthusiasts who want to:

"Compare the differences in strategies between models"

"Test how strength changes when prompts are altered"

"Observe the differences in thinking between CPU-based AI and LLM-based AI"

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■ Main Features

● 1. Freely set "User / CPU / AI" for both Black and White

You can independently set the operation mode for each turn of Black and White.

- Black: User, White: AI
- Black: CPU, White: AI
- Black: AI (Model A), White: AI (Model B)
And so on, flexible configurations that directly bring the philosophy of Dual AI Chat into the game are possible.

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● 2. Using an External AI Server as the Thinking Engine
In AI mode, board information and prompts are sent to the configured URL, and the move is retrieved in the format of "Line 1: Coordinates" and "Line 2: Reason".

- Any LLM can be used
- Fine-tune model name, prompt, timeout, and number of retries
- Freely customize the AI's thinking

It possesses the flexibility to withstand research purposes.

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● 3. Displaying AI/CPU Move Reasons in the Comment Section
The comment section at the bottom of the screen displays the AI ​​and CPU's move reasons in chronological order.
Because you can directly observe the LLM's "thinking reasons,"
you can visually understand the differences in strategy, the influence of prompts, and the quirks of the models.

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● 4. AI Communication Logs Can Be Viewed and Copied
Each settings screen includes an "AI Communication Log."
You can check the transmitted board data, received responses, error details, etc.

- Model Comparison
- Prompt Adjustment
- Debugging
This is a powerful feature for developers that is useful for these purposes.

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● 5. CPU Strength Can Also Be Adjusted
You can set the CPU's search depth,
and compare the strength of search-type AI and LLM-type AI.

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● 6. Documentation Can Be Accessed Anytime Within the App
- Operation Manual
- Privacy Policy
- Rights Notice

You can quickly access the information you need.


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■ Recommended for:
- Want to compare strategic differences between AI models
- Want to observe changes in thinking based on prompts
- Want to compare the strength of CPU and LLM
- Want to enjoy automated AI vs. AI matches
- Want to research game AI using LLM
- Want to use it as a reference for app development using external AI servers

Dual AI Reversy is not just a Reversi game; it's designed as an experimental platform for AI research.

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■ Precautions
- When using external AI servers, please check the URL security and terms of service.
- If communication fails or the response format is invalid, the AI's move may fail.
- Due to the characteristics of LLM, strength and response speed vary from model to model.

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■ Summary
Dual AI Reversy is a unique Reversi app that allows you to freely combine "AI × CPU × User" for matches.
It visualizes the AI's thinking process and communication logs, providing an optimal environment for research, comparison, and analysis.

Experience the fun of "seeing, comparing, and trying out" AI strategies.
A Reversi app that allows you to freely combine generated AI and CPU to play against each other. It provides an advanced playing environment for AI research purposes, allowing you to check the AI's reasoning and communication logs.
Updated on
Aug 14, 2026

Data safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.
  • No data shared with third parties
    Learn more about how developers declare sharing
  • No data collected
    Learn more about how developers declare collection

What’s new

GBNFに対応し、モデルとの連携エラーを教えて改善。
Content rating
Everyone
Learn more

App support

About the developer
黒田光男
micklab2026@gmail.com
Japan

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