This piece is an accompaniment to Spiral general manager Marcus Moretti’s guide for product management using Claude. Read the full guide and the essay below to learn how he built a workflow that helps him run a full product as a solo practitioner. When you’re ready to get started yourself, download the plugin.—Kate Lee
As the general manager of Spiral, Every’s AI writing partner, I’m a “two-slice team.” I’m responsible for all aspects of a product: the code, customer support, marketing, and product management. I could not do this job without Claude.
Claude Code has eliminated the drudgery of product management. The busywork that used to happen across 10 different apps now happens in a single chat thread. I’ve come to view the work of product management through the lens of this conversation—the conversation is the work.
These days, I experience what’s left of product management work in flow state—thinking through gnarly design problems, looking at interesting data, and talking to customers. Cat Wu, Claude Code’s head of product, recently said, “As code becomes much cheaper to write, the thing that becomes more valuable is deciding what to write.”
I wrote up the main skills that run my product management workflow in a guide. Below, I trace how I arrived at those skills and reflect on post-AI product management and software.
Write the roadmap and nothing else
In my new role, the only product document I’ve written is the roadmap. Everything else—every PRD and every ticket—has been written by Claude.
Writing is thinking, so as a new general manager, I wanted to take my time drafting Spiral’s roadmap. I spent several days understanding the product, usage trends, user feedback, and the market. I wrote about the problem Spiral can solve, how Spiral can solve it, and the features we’d need to build to deliver on it. I spent hours talking to several people at the company who’d worked on previous versions of Spiral and were current or former users of it themselves. (In the guide, I talk about the new /ce:strategy skill in compound engineering that interviews you to produce this document for your own product.)
Building blocks that help your agents compose elegant backends
Agents right now often write code that needs to be cleaned up because they need three things most infrastructure wasn’t built to provide: immediate feedback, local reasoning, and a thin meta layer. Convex provides immediate feedback, enables local reasoning, and minimizes the meta layer, giving agents a surface layer that’s actually small enough to work with. Scale without breaking or spending a fortune.
After six drafts of the roadmap, I created a GitHub project and added it as the project’s README. I’m already using GitHub to host all my code, so I figured I might as well use it for tickets as well, or as GitHub calls them, “issues.”
From there...
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