AI Refine is the pre-processing step that improves matching accuracy by cleaning descriptions and attaching invisible matching metadata to every item in a table. Running Refine before matching is strongly recommended — it is the single biggest lever for improving match quality.
The Template Library stores pre-verified resource breakdowns (materials, labour, equipment) for known work types. Templates are the backbone of consistent, scalable URA generation — once a template exists for a work type, every future item of the same type can be built from it rather than generated cold from scratch.
The Test Sandbox and Semantic Search are diagnostic tools built into Scenario Studio. They let you experiment with descriptions and keywords to understand why items match (or don't) before committing to a Match All run or a Refine pass.