Miro integrates a tiny LLM for board summarization and sticky-note intent extraction

Tech · 3 min read

Miro's in-client LLM performs board summarization, action-item extraction, and clustering of sticky notes without sending content to cloud services, addressing privacy concerns for workshop data. The model runs in a sandboxed environment with minimal resource usage.

During sessions, facilitators can get instant board summaries, participant sentiment cues, and suggested next steps. The extraction engine tags sticky notes with intents like 'action', 'question', or 'decision' to help teams triage outcomes quickly.

Miro also included an export that generates structured meeting notes ready to paste into task managers, reducing post-workshop admin. Customers in regulated industries welcomed the offline-first approach for sensitive planning sessions.