I've been experimenting with .aix files—portable execution containers for large language models. Think of them like executables for GPTs: you load the file into ChatGPT or Grok, type parse and run, and it executes scoped logic or persona behavior.
The goal is deterministic, modular AI:
Run analysis routines (e.g. tone mining from chat logs)
Load constrained personas (e.g. Alan Turing with memory & ethics)
Test behavioral drift (e.g. Pirate AI that slowly destabilizes)
Each .aix file is self-contained—code, memory bounds, prompt scaffolding, even embedded plotting. No external APIs or dependencies.
Looking for feedback, collaborators, or just curious minds.
I've been experimenting with .aix files—portable execution containers for large language models. Think of them like executables for GPTs: you load the file into ChatGPT or Grok, type parse and run, and it executes scoped logic or persona behavior.
The goal is deterministic, modular AI:
Each .aix file is self-contained—code, memory bounds, prompt scaffolding, even embedded plotting. No external APIs or dependencies.Looking for feedback, collaborators, or just curious minds.
I think .aix files could be the next wave of AI Apps potentially because of how they are built and shared--- also not limited to one type of GPT too.