Editorial modules that travel.
Format definitions, shelf-life rules, reuse logic.
Media transformation · Modular content · AI operations
Strong stories deserve systems that carry them further. I build modular content models, streaming workflows, and AI-enabled newsroom processes that help great work move across platforms without adding more chaos for the people making it.
Scripps News · Modular Content · Streaming Strategy · AI Management · Georgetown University
The thesis
Linear programs. Single-use stories. Platform-specific workflows. Teams organized around production habits that no longer match how audiences consume journalism.
The strain often shows up as workflow chaos, but the deeper issue is structural. Strong journalism now has to move across live, streaming, local, national, on-demand, social, and AI-assisted environments — not necessarily in that order.
This requires a different operating model.
What I do
My work focuses on the operating layer behind the story: the workflows, formats, standards, tools, and team structures that determine whether strong editorial work can scale.
I help translate transformation strategy into practical systems teams can use — so content can be created more clearly, adapted more intelligently, and distributed with more purpose.
Editorial products designed to move across platforms without constant reinvention. I build module taxonomies, format standards, shelf-life rules, writing guidance, and distribution logic that help teams understand how each piece of content should function.
Production and programming structures for the realities of modern streaming news. I design systems for live, taped, reusable, local, national, evergreen, breaking, and time-sensitive content — helping teams make clearer decisions about what to produce, when to update it, and how it should move.
Practical AI workflows that support newsroom work without replacing editorial judgment. I develop use cases, prompts, review standards, and governance structures that make AI useful inside real production environments, not just impressive in theory.
Operating models that help teams understand and adopt change. I turn strategy into clearer expectations, better handoffs, stronger communication, and systems that people can actually use under deadline pressure.
Featured work
Built a shared framework for reusable editorial modules, clarifying what each format is, how it works, and how it can move across platforms.
Modular content is not clipping. It is editorial infrastructure.
Designed workflow concepts for organizing live, taped, evergreen, local, national, and time-sensitive content across streaming environments.
Streaming strategy is not just more video. It is better movement.
Developed AI-assisted newsroom workflows with clear use cases, human review, editorial standards, and governance expectations.
AI is not the strategy. The workflow is.
Created communication and rollout structures that help teams translate transformation into daily behavior.
Change management is not messaging. It is operational translation.
Current focus
In practice
I currently lead modular content strategy and transformation work at Scripps News, focused on building scalable content systems for national and local distribution.
My work includes streaming programming models, modular editorial formats, AI-assisted workflow design, and the change management needed to move newsroom strategy from concept to daily execution.
In study
I am also pursuing graduate work in Artificial Intelligence Management at Georgetown University, focused on responsible AI adoption, organizational transformation, and the future of human judgment in automated systems.
Thinking
Why AI adoption in newsrooms has to start with the work, not the tool.
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Why reusable journalism requires more than clipping, repackaging, or platform afterthoughts.
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How editorial accountability has to be designed into AI-enabled systems from the beginning.
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Let's talk
If you are thinking through newsroom transformation, modular content, streaming strategy, AI adoption, or the future of media operations, let's connect.