Struggling to make sense of fragmented legislative data or build tools that surface it in a usable way? This session is for builders, policy professionals, and researchers who want to use AI agents to unlock and structure public legislative data for real transparency. You’ll learn how to design agents that gather and normalize data across sources, create workflows that turn raw information into searchable insights, and evaluate outputs for accuracy and bias.
Attending live gives you the opportunity to ask technical and strategic questions about your own use cases and get clarity in real time. The speaker works closely with practitioners and will share the patterns they see when building systems that actually get used, along with what they look for when evaluating effectiveness and trust. If you’re serious about turning legislative data into something actionable, it’s worth joining live.