Most PM advice tells you to stay out of the weeds. Focus on vision. Prioritize ruthlessly. Leave implementation to engineering. That advice breaks down fast in AI, data products, and internal platforms. If you're building retrieval pipelines, agent workflows, analytics exports, or cross-system automations, your product quality depends on how data gets combined, transformed, and […]
