Technical deep dives, architecture explainers, and the occasional opinion
piece. Written by the people building the Q-Prime model, the QAG Engine, and
the rest of the stack — so the reasoning behind the product is always on the
record.
Custom AI and context engineering become valuable when they are turned into an operating system: coding agents, local models, GitHub workflows, synthetic content, and QAG escalation for regulated decisions.
The QGI stack replaces retrieval-augmented generation with Quantum-Augmented Generation. Here is how each of the five layers — Q-Prime, QAG Engine, Qualtron, QGM (Quantum Graph Memory), Neural Symbolic Agents — removes a specific class of probabilistic failure from regulated decisions.
Q-Prime ships on HuggingFace as a managed-access model card, not a weights download. For regulated customers, that turns the license into a chain of custody: you can always prove whose Q-Prime produced which decision.
Working on something at the intersection of regulated AI, formal verification,
or deterministic reasoning? We publish guest explainers from academic and
industry collaborators.