Building an AI Marketing Platform: Sprint 0 Retrospective — What We Built, What Failed, and How AI Did the Work

We just finished Sprint 0 of a project to rebuild a LinkedIn campaign management platform from scratch — using AI agents as the primary developers, operating under a strict agile methodology enforced by an MCP (Model Context Protocol) server. This post is the honest record: what we attempted, what we actually built, what failed, and how AI participated in every phase. What Is This Project? ORCHESTRATE is a marketing platform that manages content scheduling across LinkedIn pages. The V2 system — a 102-tool MCP server with React UI, Docker deployment, and 4 active LinkedIn pages — has been running in production. V3 is an ambitious expansion: YouTube integration, podcast generation, audio narration, AI-assisted news generation, and multi-channel publishing at scale. Sprint 0 was pure infrastructure. No new features. No UI changes. Just the foundation that V3 needs to exist. What We Attempted The original Sprint 0 plan had 5 stories covering: V2-to-V3 Data Migration — Bridge to move posts,