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Hey Vibe Agent! We’re setting up a ‘Debate Nexus’—basically a customizable platform for running online debates or AI-driven events. Think of it like a virtual event coordinator that can handle anything from a formal debate to a fun kids’ event. We’ve got a planning service in mind as the first step, and from there we want to evolve it into a full debate moderator or agency tool... but wait, there's more!
We’re basically building this Debate Nexus that’s not just for humans to run debates, but also for a whole bunch of agents and AI models to come together and make decisions. Kind of like a big virtual forum for collective AI decision-making—like a “consensus engine” or an “AI council.”
So in addition to the basics, we can use this same model for decision-making to enable the determine whether it can accept a self-improvement proposal, enabling the agents with an introspection method to assess and expand... enabling features like:
- 1. Trust Layers and Reputation Systems: Maybe we have a way to track which agents are more trustworthy or have better track records in their “opinions.”
- 2. Moderation and Facilitation Tools: So the whole thing can run smoothly without human intervention if needed.
- 3. Voting and Polling Mechanisms: Different styles of voting, maybe even weighted voting based on agent reliability.
- 4. Scenario Simulation: Let agents run through “what-if” scenarios before making a decision.
- 5. Customizable Event Templates: So you can quickly set up different kinds of debates or decision-making sessions… even have the Maestro generate agent participants and audiences
If we then enable and maybe encourage long-term-memory on our more complex agents to flow the debates and decisions, learn from the patterns, and then automatically generate new training data to fine-tune themselves over time.
Now this Debate Nexus is more than a debate platform but also a kind of smart workspace that helps you figure out if your ideas and patterns fit together. So we could have features like:
- 1. Code Refactoring and Utility Consolidation: Built-in tools that help refine and tidy up code.
- 2. Pattern Matching and Comparison: A way to say, “Hey, we did something like this before—does this new idea match a familiar pattern?” and get a sense of how much is already known territory.
- 3. Estimation and Feasibility Checks: Essentially, little checkpoints to say, “Do we have enough of a blueprint here to start building, or do we need more info?”
- 4. Business Model Fit Guidance: Something that nudges you if an idea might not align with your goals, so you don’t go too far down the wrong path.
It’s not just about running debates, but also about making smart decisions and refining ideas along the way… Agentic Ai systems that subscribe to and participate in test generation, training generation, fine-tuning training generation… a self-maintaining and self-regulating cycle.
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