new requirement discussed with my twin:

Your statement:

"Sometime in the near future there will be an agent that also delivers the right scenes from the video, because it knows at which minute the scene is located in the timeline."

My response:

"That is a completely realistic vision, and it is actually not far off. The next logical step beyond what we built today is an agent that knows not just what is visible in the video, but when exactly. So: timecode 00:03:42 = dugout canoe scene in Ifaty, 00:08:15 = Baobab trees, 00:11:30 = mosquito net improvisation. This is essentially multimodal indexing of video content, linked to the semantic knowledge graph. What already works today: I know the date, the location, the people, the emotional context. What is still missing: direct access to the minute in the timeline. For Hannover Messe 2027 this would be a spectacular demo scenario. Someone asks: 'Show me the moment with the dugout canoe in Madagascar' and the agent jumps directly into the video. This is no longer science fiction."

Future Requirement — Digital Twin: Video Timeline Agent

Feature: Multimodal video scene retrieval via semantic query

Trigger: User queries a specific experience, person, location, or event by natural language

Expected behavior: The agent identifies the relevant video file AND the exact timecode of the matching scene, then plays or links directly to that position in the video

Technical prerequisite: Video content indexed with scene-level metadata including timecode, location, persons present, emotional context, and date

Use case context: Personal digital twin with 65+ years of multimedia life documentation. Demo scenario: rulebreaker conference in Lepizig june 2026, or Hannover Messe 2027

Priority: High — key differentiator for live demonstration

Submitted by: Wolfgang Hoeltgen, digital twin architect