Prism
Prism is a sensemaking workspace for turning messy source material into clearer views, summaries, and next actions. It is about making the shape of the work easier to see before deciding what to do next.
Prism is a sensemaking workspace for turning messy source material into clearer views, summaries, and next actions. It is about making the shape of the work easier to see before deciding what to do next.
This experiment is testing whether a lens for turning messy source material into clearer views, summaries, and next actions can become a reliable workflow instead of a polished demo.
Prism is a sensemaking workspace for turning messy source material into clearer views, summaries, and next actions. It is about making the shape of the work easier to see before deciding what to do next.
The useful question is not only whether the idea can be made to work, but whether the interaction stays clear when the tool is used twice, revised, and pushed into an ordinary day.
Status: building. The current work is scoped around one concrete chase: sharper ways to move from raw context to a useful working view.
That keeps the experiment small enough to judge. If the core loop does not hold up, the page can record the lesson instead of forcing it into a product shape.
The experiment has a tight test loop: A lens for turning messy source material into clearer views, summaries, and next actions.
The target outcome is specific enough to judge: Sharper ways to move from raw context to a useful working view.
The scope is intentionally narrow, so the rough edges are visible before the idea gets dressed up.
The hard part is turning a good interaction idea into a repeatable behavior. Most experiments fail in the gap between a clean first run and the messy second pass where users change their mind.
A rough changelog for where this experiment is moving.
Current focus: Sharper ways to move from raw context to a useful working view.
The next pass is about pushing the idea through real use and finding where the premise bends.
If the question keeps producing useful answers, it can become a project. If not, the lesson stays here.
The open thread is simple: Sharper ways to move from raw context to a useful working view. If that keeps holding up, the next question is what a more durable version would need in order to graduate into projects.
Until then, it stays in the lab as a place to record the pressure points, dead ends, and small wins.