AI Dictionary › Prompting
Prompt scaffolding is the technique of providing the model with a partial supporting structure, a scaffold, on which to build the response, for example an already sketched outline, a format with sections to fill in, or an already started line of reasoning the model must continue, instead of letting it generate everything from scratch.
Scaffolding provides intermediate anchor points: headings already present to which the model must add content, a first sentence of each paragraph already written as a guide for tone and direction, or the first steps of a reasoning already outlined that the model must complete. The model thus works within a predefined structure instead of starting from a blank page, reducing variability in the final form.
This technique is especially useful in tasks where the output's structure matters as much as its content: writing technical documents with an expected standard format, generating code starting from an already defined function skeleton, or building long responses where guiding the organization reduces the risk of the model wandering off track.
The term is borrowed from pedagogy, where "scaffolding" denotes the temporary support given to a learner, gradually removed as autonomy grows, an image that fits well the idea of offering the model an initial framework on which to complete the work.
Give the answer a fixed skeleton before asking for content: the sections, their order, what goes in each. The model fills a structure instead of inventing one, which makes outputs comparable across runs and across items.
"Analyze this contract clause using EXACTLY this structure: **Risk** (one line) · **Who it favors** · **Market standard?** (yes/no + why) · **Suggested rewrite** (the clause text only)."
Batch work above all: reviewing 40 CVs or 200 reviews with the same scaffold turns free-text chaos into a table. The trade-off is creativity: for brainstorming, drop the scaffold.
Multi-turn prompting · JSON mode · Contrastive prompting · Context stuffing · Retry with backoff · Self-ask · Chain-of-thought · Role prompting · Prompt injection · Temperature · System prompt
Grace evaluates whether, in scenarios with long or structured outputs, you give the model an initial scaffold instead of letting it start from nothing.
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