AI can change how we work and think, but institutions didn't become fragile overnight because of it. Many of the pressures on universities, media, and governance predate AI by years or decades.
Using AI wisely can augment human capability without eroding institutional roles — the real question is how accountability, transparency, and critical thinking evolve alongside the technology.
This is a write-up of the core design constraint behind Pavis: the runtime is intentionally non-interpreting.
All semantic work (defaults, validation, binding, compilation) happens before deployment. The runtime only executes a fully materialized artifact.
The goal is to make reload, rollback, and recovery mechanically boring by removing runtime inference and learned state from the data plane.
Happy to answer questions or clarify design trade-offs.