Fellou's.Shadow WorkspaceAdoption of a unique human-computer collaboration mechanism:
- Three-dimensional monitoring panels::
- Task flow view: graphical representation of the current step (e.g. "Logging in to LinkedIn")
- Resource Usage Monitor: Shows CPU/Memory Usage
- Preview of intermediate results: e.g. tables of captured data
- intervention control::
- Immediate suspension/reprioritization
- Injecting new instructions (e.g. "Skip job offers in France")
- Continued automation after manual correction of erroneous data
The technical implementation is such that each AI task is broken down intoatomic operating unit, user intervention generates version branches. Case in point: when automating the collection of job postings, the user finds that some of the job descriptions are parsed incorrectly and can be:
- Suspend tasks and highlight problematic data
- Manual correction of 3 samples
- Click on "relearn and continue" and the system will apply the correction logic to process the remaining data.
This maintains automation efficiency while ensuring accuracy of results.
This answer comes from the articleFellou: a native AI browser for automating tasksThe
May not be reproduced without permission:AI productivity tools " How does a shadow workspace enable 'users to monitor or intervene in real time' with background AI tasks?
