You have a 1‑hour meeting recording. You ask AI: "when did Ivan promise the delivery date?" The AI gives a vague answer because someone summarised the video and lost the timestamp.
Bad approach.
Better approach: a team of three AI agents.
- Navigator – finds the exact 30‑second window where Ivan spoke.
- Eyes – looks at that window and sees "Ivan, slide with 'delivery: May 15'".
- Master – checks if that's enough, then answers: "At 23:45, Ivan said May 15."
Accuracy goes from 64% to 75%. Not magic – just not throwing away information.
How to build it (5 steps):
1. Get subtitles with timestamps (Whisper works).
2. Split into chunks, keep timestamps, put in a database.
3. Teach Navigator to find relevant time windows.
4. Add Eyes only for visual questions (slides, objects, people).
5. Master collects everything and gives a timestamped answer.
Rule #1: never lose timestamps. Rule #2: never analyse the whole video at once.
Works for meetings, lectures, surveillance, anything with video + time.