Developer details cost-saving AI cascade for meeting notes extraction

A developer describes a workflow to reduce AI model costs for generating meeting notes. The system uses a smaller, cheaper AI model to extract most action items, which are then validated against the transcript. Items the small model cannot reliably process are escalated individually to a more powerful, expensive model. This per-item 'cascade' approach minimizes the use of the costly model while maintaining accuracy. The process includes safeguards like a human review queue for ambiguous items.