scoring

This paper introduces BioConCal, a supervised scorer that uses inference-time panel and candidate features to rank biomedical entity candidates surfaced by LLM panels, significantly improving over raw agreement for curator triage.

A developer shares practical lessons from building an AI lead qualification agent, highlighting that the hardest issues were not AI-related but involved vague answers, routing logic, Slack noise, CRM structure, and handling low-fit leads.