task orbit
designed and built a tool that uses an llm to turn scattered notes, tabs, and pasted content into a structured task list.
brief
tame scattered tabs, emails, and notes into one focused task system.
build
designed the ux and motion, engineered the ui, and wired up the ai extraction pipeline end to end.
result
a polished console that turns messy inputs into structured, actionable tasks.
task orbit reimagines how people capture and organize work. instead of manually sorting through tabs and messages, users paste raw content and the app extracts structured, actionable tasks automatically.
the interface reduces a complex extraction workflow to a single input field and a clean output grid. the design keeps the ai layer invisible so the experience feels like a simple tool, not a technical demo.
mapped out the interaction flow, then built the full interface with html, css, and javascript. the extraction layer connects to an ai model that parses raw input and returns categorized, prioritized task cards.