News that moves — and monetizes.
Format definitions, shelf-life rules, reuse logic, and platform-aware workflows.
The work behind the work
Strong stories deserve systems that carry them further.
I build modular content models, streaming workflows, and AI-enabled newsroom processes.
The goal is to help great work move across platforms without adding more chaos for the people making it.
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.
That means content can be created more clearly, adapted more intelligently, and distributed with more purpose.
Editorial products designed to move across platforms without constant reinvention.
Module taxonomies, format standards, shelf-life rules, writing guidance, and distribution logic.
Production and programming structures for the realities of modern streaming news.
Systems for live, taped, reusable, local, national, evergreen, breaking, and time-sensitive content.
Practical AI workflows that support newsroom work without replacing editorial judgment.
Use cases, prompts, review standards, and governance structures for real production environments.
Operating models that help teams understand and adopt change.
Clearer expectations, better handoffs, stronger communication, and systems people can use under pressure.
Active workstreams
Building a shared framework for reusable editorial modules — clarifying how formats function, move, and create value across platforms.
Case study in development.
Developing workflow concepts for organizing live, taped, evergreen, local, national, and time-sensitive content across streaming environments.
Case study in development.
Designing AI-assisted newsroom workflows with clear use cases, human review, editorial standards, and governance expectations.
Case study in development.
Building communication and rollout structures that help teams translate transformation into daily behavior.
Case study in development.
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 change management.
The goal is to move newsroom strategy from concept to daily execution.
In study
I am also pursuing graduate work in Artificial Intelligence Management at Georgetown University.
My focus is responsible AI adoption, organizational transformation, and human judgment in automated systems.
Ideas I’m developing
A few ideas I’m actively developing into longer essays on newsroom transformation, modular content, streaming strategy, and responsible AI adoption.
Why AI adoption in newsrooms has to start with the work, not the tool.
Forthcoming essay.
Why reusable journalism requires more than clipping, repackaging, or platform afterthoughts.
Forthcoming essay.
How editorial accountability has to be designed into AI-enabled systems from the beginning.
Forthcoming essay.
Let's talk
Reach out about media transformation, content strategy, workflow design, AI adoption, speaking, advisory conversations, or professional opportunities.
My work starts in journalism, but the larger focus is helping complex teams build systems that make good work go further.