SignalOS turns news into a clear decision, with proof.
SignalOS turns news into a clear decision, with proof.
SignalOS reads news, checks if it matters, updates the YES prediction, and keeps the summary visible.
This item changed the YES prediction and was saved in the proof replay.
A four-step AI automation loop, shown like a slide.
The app reads relevant Iran and U.S. updates instead of asking a person to scan everything.
Each item is marked as useful or not useful for the prediction.
Only meaningful news changes the YES number. Weak news is still recorded.
Every read item remains easy to review.
This is the AI automation problem in plain English.
The app keeps a record of what it read so the user does not start from zero.
It separates useful news from noise and shows whether the YES prediction changed.
The replay makes the automation easy to inspect during an interview.
Polymarket shows where the crowd landed. SignalOS shows which news pushed the YES case there.
Polymarket gives the outside YES view.
SignalOS shows which news moved the app's YES prediction.
The replay keeps each read item and each move visible.
Two versions of the prediction system, explained without jargon.
The same SignalOS structure can track more than one question.
Run the replay. Each step shows one news item and what changed.