TemporalOS
Meetings produce decisions, not recordings — converts any call or demo into structured, searchable, machine-readable intelligence.
The Problem
Recorded meetings, demos, and calls contain critical decisions, action items, and context — but they're locked inside audio files. Teams re-watch, re-listen, or take manual notes. Nothing is structured, searchable, or actionable.
What I Built
TemporalOS converts any recorded call, demo, or meeting into structured, machine-readable intelligence:
- Audio Ingestion Pipeline — Processes recordings in any format with speaker diarization and timestamp alignment
- Transcript → Structure Engine — LLM-powered extraction of decisions, action items, topics discussed, questions raised, and commitments made
- Structured Output Schema — Every meeting produces a queryable JSON object: who said what, what was decided, what's next
- Search & Retrieval — Semantic search across your entire meeting history
Architecture
Built in Python with modular pipeline stages — audio processing → transcription → diarization → LLM extraction → structured storage. Each stage is independently testable and swappable.
Why It Matters
Meeting intelligence isn't about recording — it's about making what was said actionable. TemporalOS treats meetings as data sources, not files. Every call becomes a structured object in your decision history.