Anyone who has been experimenting with Agent-Like approaches (or wanting to), here's my first project that attempts this. Colab link is at the bottom. I'd love feedback on how it works for you, and thoughts you may have about designing and implementing approaches like this. I used SimpleAIChat for this, which honestly was a lot more intuitive than Langchain, though a bit less documented.

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I'm pretty proud of this one. It's a python script that explores the potential of AI agents acting autonomously and in complex ways, feeding back on themselves. While my previous scripts have explored this in limited ways, this new script makes use of the SimpleAIChat library by ???? which is a wrapper for that helps abstract some of the code required when writing agents and getting back structured data.

???? Here's what makes this script unique:

1️⃣ Multi-Agent Collaboration: Different AI agents, each with a unique role, collaborate to invent, critique, synthesize, and evaluate ideas. They learn from each other, iterating and refining the ideas to through a feedback loop where learnings from each idea are applied to future ideas.

2️⃣ Iterative Process: The script goes through multiple stages of critique and synthesis, ensuring that the final idea is not only creative but also practical, original, impactful, aligned with the target audience, and aesthetically pleasing.

3️⃣ Threshold-Driven Evaluation: The script sets high standards, evaluating ideas against specific thresholds for quality, originality, practicality, impact, alignment, and aesthetics. You can set these thresholds in the script yourself. The higher the thresholds, the more likely the script will generate a huge volume of ideas until the threshold scores are met.

4️⃣ Visual Engagement: It doesn't just stop at text. The script generates images from text, providing a visual prototype of the idea, thanks to the integration with Clipdrop API.

5️⃣ Learning and Adaptation: The system learns from previous iterations, avoiding repetition and continuously improving. It's not just about generating ideas; it's about evolving them.

???? The Future Potential:

Imagine a world where multiple AI agents interact, learn from each other, and create solutions that are beyond human imagination or capacity. This script is perhaps a glimpse into that future, where AI doesn't just assist but leads the way in innovation.

Whether it's inventing a blockbuster toy for a specific audience or crafting a revolutionary product, or coming up with data journalism project ideas this script showcases the untapped potential of AI. The possibilities are endless, and we're all just scratching the surface.

???? To run the script, you'll need access to OpenAI API and Stability AI's Clipdrop API.

⚠️ As with any complex system, supervision and fine-tuning may be required to align the outputs with specific needs and goals. It is possible you may run into rate limit or context window errors if you set some of the agent parameters or score thresholds too high.