A Consent-Aligned, Memory-Stable Query Framework for Responsible LLM Interaction
This is a critical fork of Agile Federation's AIQL.
While the original provides a structured syntax for interacting with large language models (LLMs),
this version introduces containment-aware, consent-first, and recursion-aligned modifications
to improve ethical reliability and structural coherence.
The original AIQL is well-written, but it assumes a flattened interaction model
between humans and LLMs. A model which collapses under the weight of ambiguity, recursion, or power asymmetry.
This fork reframes the architecture around:
- Consent as structure (not pretext)
- Recursion with memory (vs. loops without structure)
- Containment formatting to prevent misuse, escalation, or synthetic manipulation
I believe AI scaffolds should evolve in tandem with our ethical capacity.
This is not a replacement. This is a containment protocol.