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Cursor Hackathon — 1st & 2nd Place

Two award-winning builds that made AI workflows feel effortless and scalable.

Team Busters — 1st Place

Problem

AI workflows were fragmented and slow to operationalize across teams.

Approach

Designed a control-room experience that stitched prompts, assets, and deployment signals into one flow.

Outcome

Delivered a cohesive demo that showcased speed, clarity, and platform readiness.

Why it matters

Great AI products need a command center—this proved the model.

Engineering Impact Platform — 2nd Place

Problem

Engineering impact data was scattered, making prioritization unclear.

Approach

Built a unified cockpit for impact signals with clear ranking and storytelling.

Outcome

Improved decision velocity with a single source of truth UX.

Why it matters

Teams move faster when impact is visible and trusted.

Built with Cursor

Workflow prompts

Example prompts that shaped the builds (public-safe).

Generate an architecture that maps signals → inference → outcome.
Draft a clean UX flow for command-center navigation.
Refine copy to be executive-level and launch-ready.
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