📚 Main Topics

1. Introduction to Gemini 3

   • Claims to be the best AI model currently available.
   • Comparison with GPT-5 and addressing its criticisms.

2. Use Cases and Testing

   • Demonstration of website generation capabilities.
   • Comparison of outputs from Gemini 3 with previous models.
   • Importance of uniqueness in design and the role of references.

3. AI Studio and Website Creation

   • Use of AI Studio for generating websites.
   • Examples of prompts used to create websites for a credit card company and a browser.
   • Discussion on the quality of generated designs and the need for human input.

4. Integration with Other Tools

   • Introduction of Higsfield for enhancing visual assets.
   • Importance of pairing coding engines with art engines for better outputs.

5. Future of Software Development

   • Shift in the role of software engineers towards synthesis rather than just coding.
   • Discussion on the competitive landscape and the impact of AI on job markets.

6. Examples of Applications

   • Creation of a PC builder tool and a simple video editor.
   • Exploration of various projects to test Gemini 3's capabilities.

7. Market Dynamics

   • Discussion on the software as a service (SaaS) market and the implications of AI on pricing and competition.
   • Importance of targeting the right customer segments.

8. Conclusion

   • Emphasis on the need for unique ideas and problem-solving approaches in leveraging AI tools.
   • Encouragement to subscribe for future updates and insights.

✨ Key Takeaways

• Gemini 3is positioned as a leading AI model, capable of generating unique and functional web designs.
• Human inputremains crucial in refining AI-generated outputs, especially in design and functionality.
• The integration of AI toolscan significantly enhance productivity and creativity in software development.
• The market for softwareis evolving, with increased competition leading to potential price drops and a need for differentiation.
• Problem-solvingand unique idea generation are essential for success in an AI-driven landscape.

🧠 Lessons Learned

• Embrace AI as a tool for enhancing creativity and efficiency, but recognize the importance of human oversight.
• Stay updated with the latest AI developments to leverage their capabilities effectively.
• Focus on unique value propositions and customer needs to stand out in a competitive market.
• Understand the shifting dynamics of the software industry and adapt strategies accordingly.