Workflows can be represented as first-class knowledge objects that persist and remain queryable, making it easier to inspect, resume, and audit LLM-based processes—moving beyond treating workflows as black boxes that just produce outputs.
This paper proposes a conceptual model for LLM workflows that treats workflow definitions, instances, and execution traces as persistent knowledge objects. It distinguishes between deterministic computation (derive) and LLM-mediated judgment (infer), enabling workflows to be inspectable, resumable, and reviewable rather than just producing outputs and leaving traces.