feature-intelligence

You can automate lead intake by using LLM services to prioritize raw lead data and persist it in a database. This Skill structures intake with Pydantic models and maintains audit logging for compliance.

Weekly prospection analysis matches active leads against property inventory to generate targeted recommendations. It evaluates active lead data alongside available properties to produce personalized agent reports.

Generate weekly agent reports by consolidating lead management activity and property matching results into high-value summaries. This reporting feature analyzes weekly prospection data to deliver targeted insights for agents.

Yes, Pydantic models are required to structure business intelligence data under the SDD v2 framework. They provide the necessary data validation and structuring for lead management and property recommendation processing.

Yes, LLM services for lead prioritization can maintain audit logging compliance. The system integrates automated lead intake processing with audit logging to ensure regulatory adherence during property recommendation generation.

SDD v2 business intelligence reporting requires LLM services, Pydantic models, and database persistence to function. Without these dependencies, lead management automation and weekly property matching analysis cannot execute.