At Muish, we're leveraging advanced AI capabilities to lay the groundwork for "Muish Oddity: Mutant Monkfish." This customised AI has been crucial in accelerating the conceptualisation and early development of the game. It serves as a dynamic tool that helps us explore creative possibilities, refine strategies, and solve complex problems quickly—paving the way for the future human development team to bring these ideas to life.

​

This AI is not a substitute for a traditional team but a strategic advantage that allows us to move forward with vision and precision, bridging the gap until we expand with a full team of developers and creative professionals. By using AI at this stage, we're ensuring a strong, well-defined foundation, ready to be further developed by a talented group of people.

​

​

How the Tree of Thought Method Powers Muish

​

1. Activating AI Specialists

When a challenge or query arises, the AI system activates specialized "experts" within the model—each one fine-tuned to focus on a specific field, whether it’s blockchain integration, creative design, or strategy. This is like having an entire team of experts working on different parts of the project.

​

2. Distributing the Challenge

The challenge is then distributed to these specialists, and each AI expert analyzes it from their unique perspective. For example, the Creative AI might focus on design possibilities, while the Technical AI explores the code and blockchain integration.

​

3. Independent Thinking

Each AI expert works independently at first, generating its own insights and ideas. This stage ensures that no stone is left unturned, with each specialist using advanced algorithms to provide deep analysis within their domain.

​

4. AI Collaboration

Here’s where the magic happens. Once each AI specialist has formed its ideas, they all come together for a collaborative review—cross-questioning each other’s outputs, refining their insights, and filling in gaps. It’s like a virtual brainstorming session between the world’s smartest minds.

​

5. Refining Solutions

If there’s a conflict or gap in reasoning, the AI system retraces its steps and refines its answers. This back-and-forth ensures that the final solution is comprehensive and precise.

​

6. Reaching Consensus

Once the AI experts align on the best solution, they merge their insights into a unified, multi-faceted response. This ensures that the output is not only accurate but also well-rounded, taking into account all relevant angles.

​

7. Delivering the Solution

The final response is presented by the virtual Co-CEO, ensuring that the solution is cohesive, strategic, and ready for implementation. By synthesizing insights from each AI expert, this process delivers a comprehensive answer that balances creativity, technical precision, and strategic foresight.