Work

Operating models for journalism that has to move.

Traditional news workflows were built for a more linear media environment.

Today, strong journalism has to move across live programming, streaming playlists, local and national uses, on-demand surfaces, and social platforms.

It also has to prepare for emerging AI-assisted distribution systems — often in multiple directions at once.

My work focuses on the systems that make that movement possible.

That includes modular content models, streaming workflow architecture, distribution strategy, AI-enabled editorial operations, and change structures teams can actually adopt.


The diagnosis

The problem is not just workflow chaos. It is model mismatch.

When a newsroom feels chaotic, the visible symptoms are easy to name.

Unclear handoffs. Duplicated effort. One-off production. Inconsistent standards. Missed reuse. Burned-out teams. Strong work that disappears after one use.

But those symptoms often point to something deeper.

The old model was built around programs, platforms, and production habits that do not fully match how journalism now has to move.

My work sits at that structural layer: designing clearer systems so teams can create, adapt, distribute, govern, and improve journalism with more purpose.

Operating model areas

Four layers of the system.

The work spans four connected layers — from how content is shaped, to how it moves, to how it is governed, to how teams adopt it.

01 · Layer

Modular Content Systems

Modular content is not just a repackaging tactic. It is a way to make journalism more adaptable, reusable, and valuable across platforms.

System components

  • Module taxonomies
  • Format definitions
  • Run-time expectations
  • Shelf-life rules
  • Writing and update guidance
  • Banner and script standards
  • Reuse logic
  • Local and national adaptability

Strategic value — Great work should not be trapped inside a single airing, playlist, platform, or production habit.

02 · Layer

Streaming Workflow Architecture

Streaming news needs more than a feed. It needs architecture.

System components

  • Daypart strategy
  • Playlist logic
  • Recording windows
  • Update cadence
  • Content freshness rules
  • Local station support
  • Live-to-tape workflows
  • Programming rhythm

Strategic value — Streaming strategy is not just more video. It is better movement, stronger pacing, and more intentional use of every editorial asset.

03 · Layer

AI-Enabled Editorial Operations

AI only creates value when it is built into the workflow responsibly.

System components

  • AI-assisted scripting workflows
  • Prompt and agent design
  • Human-in-the-loop review
  • Editorial guardrails
  • Source and attribution standards
  • Quality-control checkpoints
  • Training and adoption support
  • Governance language

Strategic value — AI is not the strategy. The workflow is. The value comes from using AI to strengthen the system without weakening judgment.

04 · Layer

Transformation Leadership

A better system only matters if people can understand it, trust it, and use it under pressure.

System components

  • Change narratives
  • Workflow documentation
  • Manager talking points
  • Training structures
  • Feedback loops
  • Adoption metrics
  • Risk identification
  • Cross-team alignment

Strategic value — Change management is not messaging. It is operational translation.

Featured case studies

Operating systems, not deliverables.

Each piece of work moves from a structural shift in how journalism has to function — to the system that addresses it.

Case 01

Modular Content Operating Model

Modular content systems

The shift

News organizations increasingly need journalism that can move beyond a single use.

A story may support a live program, become a self-contained module, serve a local station, or fill a streaming playlist.

It may also support an on-demand experience or return later with new context.

That requires a shared operating language.

The system being built being built

Building a modular content framework that clarified major product types, editorial jobs, run times, writing standards, shelf-life expectations, and distribution uses.

What this work is designed to solve

  • Aims to reduce ambiguity around what different formats are for
  • Connects editorial form to distribution purpose
  • Supports more consistent production expectations
  • Makes reuse easier to plan instead of retrofitting after the fact
  • Helps teams talk about content as a system, not a pile of individual assets

Modular content is not clipping. It is editorial infrastructure.

Case 02

Streaming Content Architecture

Streaming workflow

The shift

Streaming audiences do not experience journalism as a single linear show.

They encounter it through changing dayparts, platform contexts, local needs, live moments, reusable segments, and ongoing updates.

The system being built being built

Designing workflow concepts for organizing streaming content by daypart, freshness, format, and audience need.

The work connects production timing, playlist strategy, update cadence, and content shelf life into a clearer operating structure.

What this work is designed to solve

  • Clarifies how different content types support different parts of the streaming experience
  • Improves thinking around freshness and reuse
  • Connects recording cadence to programming needs
  • Supports flexible use across time zones and station contexts
  • Treats streaming as a programmed product experience, not just a distribution pipe

Streaming strategy is not just more video. It is better movement.

Case 03

AI Editorial Workflow Design

AI operations

The shift

AI can accelerate newsroom work, but speed without structure creates risk.

The question is not whether AI can produce something. The question is whether it can support a responsible editorial system.

The system being built being built

Developing AI-assisted workflow concepts for source transformation, scripting support, editorial review, production planning, and quality control.

That includes follow-through angle generation where it strengthens the workflow.

What this work is designed to solve

  • Identifies AI use cases with practical production value
  • Creates clearer expectations for review and oversight
  • Connects AI outputs to editorial standards
  • Reduces novelty-driven tool thinking
  • Frames AI as infrastructure that must be governed, tested, and improved

Human judgment is not a vibe. It is an operating requirement.

Case 04

Newsroom Change Leadership

Transformation

The shift

Transformation does not fail only because people resist change. It often fails because the new model is not clear enough to use.

The system being built being built

Creating communication and rollout structures that translate transformation strategy into operational clarity.

That includes shared language, workflow documentation, adoption guidance, feedback loops, and manager-level support.

What this work is designed to solve

  • Aims to reduce ambiguity during operational change
  • Connects leadership strategy to team behavior
  • Helps managers explain the why and the how
  • Makes feedback part of the operating model
  • Supports adoption through clarity instead of force

The best transformation work makes people less confused, not more impressed.

In closing

Better systems can help better journalism travel further.

The future of news will not be solved by more content alone. It will require clearer models for how journalism is created, adapted, distributed, governed, and improved.

That is the work I am building toward.