2 docs tagged with "contexts"

Coverage Analysis and Template Seeding are the recommended workflow for generating URAs at scale. Instead of calling the AI once per BOQ item (hundreds of calls), you seed a small set of templates (typically 8–15) and then apply them across the entire BOQ in one batch pass. The result is faster generation, lower API cost, and consistent outputs across all items of the same work type.

AI-assisted URA generation produces a complete resource breakdown for a matched BOQ item in seconds. The AI draws on the active Resource Price Book, the Template Library, and the Generation Contexts you have configured — it never makes up prices.