NSTD.7:1 - Problem frame

Use this pattern when LLM, NLG, graph-to-text, data-to-text, story-planning, schema-governed generation, or search is used to produce or repair narrative renderings.

First useful move: give the generator the material, the relations it should preserve and the intended reader’s task. Obtain a small draft and compare it with the material for omissions, inventions and misleading connections. Evaluate those defects before deciding how to use the draft.

What goes wrong if missed: fluent wording or a valid output schema hides an unsupported cause, missing condition or continuity error.

What this buys: useful automated drafting with a way to detect and repair the losses that matter to the reader.