signal-detector

To automatically capture original thinking and entity mentions from real-time messages, enable a parallel sub-agent skill to monitor inbound messages and log intellectual output alongside detected entities into a knowledge base.

Ambient signal detection is the process of monitoring real-time messages to identify original thinking and entity references. It enriches a knowledge base by generating or updating detailed brain pages for each detected entity.

Yes, you can run entity detection in the background by operating the detection logic as a parallel sub-agent, which continuously monitors and logs intellectual output and reference entities without interrupting your main workflow.

The best way to automatically index people and company references from chat logs is using a real-time message detection system that identifies entity mentions and automatically generates or updates corresponding knowledge base pages.

Yes, you need search, query, and page management tools to operate real-time entity mention logging, as the detection process requires these tools to enrich data and manage the generated brain pages within the knowledge base.

Using an automated sub-agent for ambient signal capture ensures every inbound message is monitored in real-time, preventing the loss of original thinking and entity mentions that occurs with manual logging workflows.