Microsoft AI
Deep Research Mode, Copilot iOS
Shipped end-to-end client architecture for Copilot's flagship premium feature, launched for Microsoft's 50th Anniversary.
The Problem
Copilot users wanted the ability to conduct in-depth research, not just quick Q&A, directly from their mobile device. This required building a fundamentally new client architecture that could handle long-running research tasks, streaming results, and rich content rendering.
Approach
I built the entire client-side architecture from the ground up, coordinating with the content rendering team for rich display and the AI backend team for the research pipeline. This was a true cross-team 0-to-1 effort that required tight collaboration across organizations.
The Challenge
Deep Research Mode represented a fundamentally different interaction model for Copilot on mobile. Unlike standard chat, research queries generate comprehensive, sourced reports that require long-running backend processes, progressive result streaming, and rich content rendering, all on a mobile device.
What I Built
Client Architecture
I designed and built the entire iOS client architecture for Deep Research from scratch. The system handles long-running research sessions, streams intermediate results to keep users engaged, and renders final reports with rich formatting, citations, and source attribution.
Cross-Team Coordination
This feature required close collaboration with the content rendering team (for rich display) and the AI backend team (for the research pipeline). I owned the iOS integration surface, coordinated API contracts, and drove the feature through to launch.
Launch
Deep Research Mode launched as a flagship premium feature tied to Microsoft’s 50th Anniversary celebration. It became a key differentiator for Copilot Pro, giving users a compelling reason to subscribe for deeper, more capable AI interactions on mobile.
Impact
- Launched as flagship premium feature for Microsoft's 50th Anniversary
- Key driver of Copilot Pro subscriptions on mobile
- Built entire client architecture from the ground up
- Cross-team coordination with rendering and AI backend teams