LLMs are excellent at novelty. Operations reward determinism.

Most production queries aren't novel — they're the same error signatures, the same workflow branches, the same resolution paths. Re-deriving that reasoning through a full model call every time is avoidable overhead. Engram is a design proposal for a deterministic layer that sits in front of LLMs: Queries hit a confidence-weighted graph first High-confidence paths return answers directly — no model call Novel cases escalate to the LLM; confirmed answers write back as reusable paths The graph a...