DialogLab brings multi-party AI conversation design to prototyping

This is a meaningful shift from single-thread prompt UX toward controllable multi-agent interaction design, which is where many real developer use cases are headed.

• –DialogLab separates social structure (roles, parties, participants) from temporal flow (snippets, turn logic), making complex dialogue systems easier to iterate.
• –The human-in-the-loop testing mode gives teams practical control over model behavior before deployment, not just post-hoc prompt tweaking.
• –Verification dashboards for turn distribution and sentiment make it more like an engineering workflow than ad-hoc chat experimentation.
• –As a research prototype (presented at ACM UIST 2025), it is early-stage but credible for researchers and developers building AI-heavy collaborative experiences.