Concepts

The practice of engineering AI-assisted workflows where operational outputs are reproducible, governed, and traceable — by design, not by convention.

A release methodology in which every release candidate has a verifiable, traceable connection to the governed operational context that produced it — certification is a governance record, not a checkbox.

The set of structured, human-authored constraints and processes that define the boundaries of AI-assisted engineering work — establishing what may be done, by what authority, and under what conditions.

Five composable operational primitives — Packs, Seeds, Workflows, Rules, and Roles — that together form the governed context infrastructure for AI-assisted engineering sessions.