Glór is a multi-agent meeting intelligence platform that transforms raw audio recordings into structured, actionable meeting outputs. Users upload a meeting audio file directly from their device — the system uploads it to AssemblyAI, transcribes via its async API with diarisation, extracts action items, summarises, analyses sentiment, detects speaker conflicts, and scores meeting quality on a1–10 scale — then distributes personalised follow-ups via Gmail and Slack in parallel, all gated by a human review step. A persistent accountability layer tracks action items across meetings. A Demo Mode injects a curated sample transcript (with deliberate conflicts, action items, and circular discussion) directly into the analysis pipeline, skipping transcription entirely.