We Believe Automating ‘Process News’ Will Lead to Better Journalism
In a traditional 24/7 newsroom, we are addicted to Event-Based News. A fire, a press conference, or a car crash—these are easy to film and quick to report. But the stories that actually change our viewers' lives are often Process Based.
Process News is the "slow-motion" story: the gradual shift in local zoning laws, the five-year decay of a bridge, or the subtle changes in healthcare policy. These stories are usually "unwritten" because they lack a "money shot" and require hours of research that a busy producer simply doesn't have.
The Problem: Why Great Stories Get Left Behind
Traditional TV news production has three structural barriers to deep reporting:
1. The Visual Gap: If you can't film it today, it doesn't make the A-block.
2. The Context Deficit: Newscasts are "snackable," making it hard to explain complex, years-long developments in a 45-second VO/SOT.
3. The Research Burden: Connecting today’s event to a pattern from three years ago takes time that human producers use just to get the show on the air.
The AutoNewsProducer Solution: Automating the "Why"
We are building AutoNewsProducer to bridge the gap between "what happened" and "why it matters." By using agentic A.I. to monitor the "boring" data—wires, public records, and historical archives—we turn the "unwritten" into the "unmissable."
🧭 The Continuity Engine
AutoNewsProducer doesn’t treat stories as one-offs. Our system automatically scans historical archives to find patterns. If a reporter enters a story about a local business closing, the system flags related economic shifts in that zip code, providing an instant "Process Sidebar."
📊 Trend Radar & Data Anomaly Detection
We are integrating features that scan "dry" sources—like city council minutes and hospital capacity data—to find the news before it breaks. It alerts producers to statistical shifts (like a slow drop in school enrollment) that represent a major local story in the making.
🎙️ Automated Context Sidebars
Process news requires background. AutoNewsProducer can instantly generate "The Story So Far" graphics and scripts, allowing a station to provide deep context in seconds, ensuring viewers aren't just informed, but educated.
Our Roadmap: The Future of Productive News
We believe the future of local news isn't just about being first; it’s about being the most relevant. While our current prototype focuses on streamlining the daily rundown and scriptwriting, our long-term roadmap includes:
• Semantic Public Record Scanning: AI-driven monitoring of local court filings and permits.
• Predictive Story Mapping: Identifying where a current "process" is likely to lead to a future "event."
• Automated Multi-Platform Depth: Turning a 30-second broadcast "process" tease into a long-form digital explainer automatically.
AutoNewsProducer: We handle the grunt work, so you can handle the journalism.