How a VP of Product Uses Claude Without Producing Slop | Matthew Wensing, Customer.io

Product leaders must master problem decomposition to effectively leverage AI, as the technology excels at solving problems but often simplifies the problem space prematurely. Rather than treating AI as a "slop cannon" that generates instant, low-value deliverables, leaders should treat it as a junior employee requiring clear framing and iterative guidance. By feeding AI raw materials—such as meeting transcripts or strategy documents—and providing specific, layered instructions, leaders can transform these inputs into high-quality, strategic outputs. Success hinges on the leader’s ability to define the source and target, maintain social and political awareness, and apply human judgment to ensure the final narrative resonates with the intended audience. Ultimately, the most valuable work lies in choosing the right inputs and shapes for communication, while delegating the mechanical transformation work to AI tools.