AI Tuning Parameters
Complete reference for all parameters that affect AI-driven matching, enrichment, and URA generation. Parameters that default to off or to their legacy values do not change behaviour until explicitly adjusted.
Complete reference for all parameters that affect AI-driven matching, enrichment, and URA generation. Parameters that default to off or to their legacy values do not change behaviour until explicitly adjusted.
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.