1. Hard constraints eliminate first
Minimum seating, cargo, towing, exclusions, and charging constraints remove unsuitable configurations. A high preference score cannot rescue a vehicle that fails a stated requirement.
2. Visible preferences order the remaining set
The advisor scores the published data using explicit weights such as budget fit, household utility, winter suitability, charging fit, and ownership horizon. The score version and source snapshot travel with the saved profile.
3. Explanations show evidence and uncertainty
Every recommendation identifies fit reasons, compromises, source freshness, and missing assumptions. Prototype specifications and prices remain clearly labelled illustrative until licensed provider data is contracted and reviewed.
4. Offers use a separate whole-deal comparison
Once revealed, offers are ordered using the buyer’s weights across selling price, total obligation, exact vehicle fit, availability, distance or delivery, and optional trade. Every compliant offer stays visible. There is no paid placement input.