“1st in A.I. Powered Newsroom Systems.”

Every day, producers make dozens of high-stakes calls under extreme time pressure:  what leads, what gets cut, what gets teased, what belongs in the A-block, and what viewers actually need to know right now.

AutoNewsProducer is being built to support those decisions — not replace them.

This is more than just summarizing articles. It’s about helping producers quickly understand what matters in a story, what’s actionable for viewers, and what angles are most likely to connect — while keeping the final judgment where it belongs: with the producer.

What it’s designed to do...

AutoNewsProducer is designed to act like a trusted colleague you can bounce decisions off of, especially when you’re moving fast. The goal is to reduce mental load, speed up editorial prep, and help producers make clearer choices with less friction.

Planned capabilities include:

Tease angle suggestions

Given a story, AutoNewsProducer can propose multiple tease angles based on common newsroom priorities like urgency, consequence, human impact, conflict, surprise, and local relevance. It doesn’t “pick the tease” — it surfaces options so you can choose the best fit for your show and audience.

Editorial pressure-testing

Producers can use it conversationally to stress-test decisions and sanity-check a rundown.

For example:

• “Is this too heavy for a 5pm?”

• “What’s the strongest reason to lead with this?”

• “What would you tease going to break?”

• “What’s the clearest viewer takeaway here?”

• “What’s missing from this lineup?”

Rundown logic support

It can flag potential structure issues (like too many similar stories back-to-back), suggest alternate ordering, and highlight where a story might land best based on urgency and viewer value.

Example (illustrative)

Let’s say you have three stories in the stack:

• A developing city decision that affects taxes or safety

• A weather-related traffic issue happening tonight

• A crime story with limited confirmed details

AutoNewsProducer wouldn’t decide the newscast for you.

It would help by:

• Pulling the clearest “viewer takeaway” for each story

• Highlighting what’s most actionable right now

• Suggesting tease angles that fit different tones (urgent, human, investigative)

• Offering a quick way to pressure-test the lineup before you lock it

Human editorial judgment stays in control.

AutoNewsProducer is built around a simple rule:  AI should support the producer’s judgment, not override it.

Newsrooms have standards, tone, audience expectations, and ethics that require real people making real decisions.

Note: Some capabilities described here are conceptual and represent the direction of the platform as it evolves.