Weave

Weave

Built around the idea that data cleanup and sensemaking should happen in a usable workspace, not only through a prompt box. The project uses AI to help simplify, sort, order, and explain information while keeping the work visible on a canvas.

I focused the product around an interactive canvas so users can arrange information spatially, ask AI to clarify or restructure it, and keep the transformed outputs close to the source material. The goal is a workflow that feels more like shaping data than sending one-off chat requests.

Key Features

• Uses AI to simplify, sort, order, and explain information from a more visual workspace.:
• Centers the workflow on a usable canvas so source data and transformed outputs can stay visible together.:
• Explores a more structured alternative to prompt-only data sensemaking for messy information.:

Learnings

• Canvas-based interfaces work best when AI output remains anchored to visible source material.
• Data simplification tools need clear ordering and explanation affordances, not just generated summaries.
• A visual workflow can make AI transformations easier to review than a linear chat transcript.