Every story below leans on one or more of these. Generative output gives a plausible new answer each time; these give the same answer, with a record of why.
Status legend — Works today: built and tested. Small step: the engine is there; a focused addition is needed. Roadmap: a new profile, phase or service.
As a job seeker, I want the same résumé data to give an identical, ATS-safe PDF on any device, with tailored versions that differ only where the content differs.
Why deterministic wins:
As an event organiser, I want thousands of certificates from a data file, exact layout, each hash-provable as issued.
Why deterministic wins:
As a front-end team, I want every code change checked against pinned render hashes, so unintended visual change is caught in CI.
Why deterministic wins:
As a food or pharma manufacturer, I want nutrition panels and dosage labels whose layout is mandated by regulation generated from product data, with the regulation encoded as rules that fail the build when a label would break it.
Why deterministic wins: the format itself is the law; an approximately right generated label is a recall.
As a marketing team, I want the background image generated, but the headline, price, logo and legal line set exactly, on brand, in every size variant.
Why deterministic wins: image models are poor at text and cannot guarantee a legal line. The hybrid keeps generation where it is strong and determinism where it must hold still.