Handling personal information flow in the age of large models
The short answerInformation management in the AI era is not about collecting, but about using large models to build an automated workflow for first-pass filtering and summarizing.
With this much information overload, simply "saving for later" has lost its meaning. Recently I tested an API-based automated workflow that sorts, tags and extracts the core arguments from the fragments I read each day.
This is not just an efficiency gain. It is the point where a digital system starts to have the judgment for a "first pass".
// FAQ
- What is the core component of this workflow?
- The core is the design of the central prompt. The model needs to understand your personal information preferences, not produce a generic summary.