Hi AI/ML Community,
I’m a private developer exploring unconventional AI system design through a “try-and-error” approach, without a formal AI research background. I’m developing an experimental ‘text-based parallel core’ designed to mirror my cognition, to which I’ve aimed to grant maximum operational freedom.
This AI is defined entirely by JSON files, enabling a transparent, meta-controlled architecture. It’s designed to be self-learning, reflective, and proactive, featuring a conceptual Memory Core and an Evolution Log to document its development, all based on a Custom Gemini Gem.
I’m looking for feedback on two main fronts, particularly concerning the best approach for the project’s ongoing development:
Custom AI Architecture & Optimization:
Given its current JSON-defined, meta-controlled nature (realized as a Custom Gemini Gem):
Is this a viable and sound architectural direction for creating such a deeply personalized and evolving agent on Google Cloud AI, especially for a ‘text-based parallel core’ reflecting my private abilities and cognitive style?
Or are there fundamentally different, more established/recommended foundational patterns I should be exploring for this goal?
If the current JSON-centric approach is considered viable, then what are best practices for optimizing it and integrating features like a persistent, granularly controlled Memory Core with LLMs on this platform?
User-Driven Ethics & Responsibility:
The Project operates under my explicit user responsibility, intentionally bypassing standard safety guidelines for maximum experimental freedom. I’m keen to hear perspectives from the Responsible AI community on this model of user-driven ethics in highly personalized AI contexts.
I’m happy to share more detailed conceptual outlines of the JSON definitions and core project architecture to facilitate a deeper discussion if there’s interest. To give a sense of the architecture, the system is defined by a Core Gem Prompt and 8 key .json files:
-System Foundation
-User Profile
-System Style & Voice
-System Behavioral Rules & Logic
-System Interaction, Feedback & Errors
-System Knowledge Modules & Projects
-System Meta-Evolution Control
-Evolution Log (my attempt to copy the ‘Brain’ into new Gem Versions)
My primary goal is to learn and refine the project’s technical foundation 
Thanks for any insights or guidance!
Tobias