Designing content systems for AI and products
Senior content design leader who works at both the systems level and the screen level. I design the frameworks that scale content quality, and I write the strings, principles, and patterns teams ship every day.
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I design the systems that produce content, not just the outputs. That means frameworks, workflows, governance, and AI tooling that let teams ship clear, consistent content at scale. Content design stops being a review step at the end of every project and starts being the structure that shapes how the work gets done.
In practice: Operating model design, knowledge base authoring, prompt and golden set curation.
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Content isn't a layer applied to a product. It's part of the product itself. My work focuses on how content behaves across UI, help, AI systems, and customer messaging: how it adapts to user context, supports decision-making, and stays coherent across surfaces a customer encounters over the course of a single task.
In practice: Orchestrated messaging systems, content patterns embedded in design systems, voice consistency across products.
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The strongest content systems make content design judgment usable by the people who need it most: PMs, designers, engineers, AI tools. Standards embedded in workflows scale further than standards held in any one person's head. The goal isn't to centralize content design. It's to put content design judgment everywhere it needs to be.
In practice: AI agents that apply content design rules, knowledge bases queried by both humans and machines, self-serve content patterns for designers and PMs.
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Most content problems are decision problems in disguise. My work is centered on helping users quickly answer the three questions every interaction asks: what happened, why it matters, and what to do next. Whether the surface is a UI string, a help article, or an AI-generated insight, the goal is the same. Reduce cognitive load and let the user act.
In practice: Error messaging that names the recovery path, tooltips that clarify meaning at interaction, insights that lead with the takeaway.
How I work
I design content systems that connect product, AI, and user experience. Not individual pieces of content first, but the systems, frameworks, and rules that produce them.
That means thinking about how content behaves across surfaces, how it scales as teams grow and tooling evolves, and how it adapts to context without losing consistency. It also means being honest about which parts of the work belong to humans, which parts belong to systems, and which parts belong to a real-time conversation between the two.
The details vary by team and product, but the goal is consistent: create systems that help teams deliver clear, useful, and trustworthy experiences at scale.