As a project manager, I ship agentic workflows where judgment meets execution speed — strong API-to-UI mapping accuracy, deep cuts in test-documentation effort, and design-to-spec loops that close in sessions instead of eating full sprints. Every card below is a system designed and deployed end-to-end, from stakeholder scoping to a live stack you can run against real data. Built as an AI assistant to product work: conversational commerce, an AI evaluation layer, and the full PM utility belt — stories, UAT, sprints, RFPs, tasks — share one grid and the same rigor; pick the one that matches the bottleneck you are carrying.
Frontend-to-API mapping as a repeatable vision + LLM pipeline—not manual line-by-line tracing.
Screenshots to user stories and acceptance criteria—no copy-paste from design reviews.
Step-by-step UAT and optional Playwright checks from screenshots PMs already review.
Timelines, budgets, constraints, and requirements pulled from dense RFP PDFs in one pass.
ClickUp sprint health: blocked work and dependencies without reading every comment thread.
Screenshots to sprint tasks with AC, priorities, and links to stories, UAT, and APIs.
Stories → UAT → API → dev tasks in one chain; each step feeds the next with no re-keying.