A live AI prototype reimagining how Ads launches are tracked, communicated, and aligned on — replacing process-heavy workflows with a single, data-backed source of truth.
This work is under NDA. Visuals and specific metrics are redacted. The narrative focuses on design thinking, strategic approach, and impact at a structural level.
A live AI prototype designed to serve as the definitive source of truth for all Ads launches. The project reimagined the discovery phase by using a functional, data-backed tool — rather than static mocks — to drive alignment across Product, GTM, Leadership, and Support.
Launching meant creating multiple entries across disconnected systems and notifying different stakeholders — GTM, Support, Leadership — at different moments. The result was information overload and a high collaboration tax.
No visibility into which launches were upcoming. Teams had to scramble last-minute to plan comms strategy and shape narratives without a reliable line of sight.
Walking to stage meant preparing well in advance, but there was no clear view of what was proposed, launched, or deprioritized. Teams resorted to ad-hoc presentations and trackers to share updates.
Lack of project visibility made it difficult to plan support services and draft help resources — leading to reactive, last-minute scrambles at launch.
Pioneered a prototyping-as-discovery mode of execution — using a live, instrumented codebase as the primary discovery artifact. This significantly reduced design handoff time and accelerated the build cycle for engineering.
Acted as the sole designer and frontend developer, delivering the prototype to over 150 users from day one. Combined UX and frontend development, leveraging AI tools to move at the speed the project demanded.
Traditional discovery would have been too slow for the scale of the 2026 roadmap. A critical milestone event meant there was a necessity to solve for immediate user needs while simultaneously using the prototype as a vehicle to learn and uncover the highest-value use cases.
Requirements were being defined by PM partners in parallel with the build. Managing this risk — building with conviction while staying responsive to evolving scope — required constant judgment calls on where to invest depth vs. breadth.
Perpetually in a state of beginner's mind.