Is platform engineering the missing link in real AI adoption? This week, we welcome Matan Grady, lead AI PM at Port, to unpack why platform engineering is the control plane for AI adoption. We cover the move from chat UIs to agentic workflows, what it takes to trust AI in production (secrets, permissions, guardrails, human-in-the-loop), and how MCP servers connect agents to calendars, docs, and code. Matan explains why AI evals should measure outcomes—not outputs—and shares a real win: turning a manual changelog into an AI agent PMs simply review. Its a pragmatic look at developer portals, coding agents, and the evolving role of engineers as orchestrators who architect, observe, and ship faster.