Newswell
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Newswell
AI-assisted newspaper automation with the philosophy: only replace the chores
Overview
Newswell is a project exploring how AI can assist local journalism without replacing journalists. The core philosophy is that automation should handle the tedious, repetitive work—freeing journalists to do what humans do best: investigate, interview, tell stories.
Presented at the ASU journalism/AI conference (Lenfest gathering) in January 2026 as a 5-minute Ignite talk.
Philosophy: Only Replace the Chores
The guiding principle distinguishes between:
Chores (automate these):
- Reformatting press releases
- Generating routine meeting summaries
- Scheduling social media posts
- Transcription
- Data entry and formatting
- Repetitive layout tasks
Journalism (humans do this):
- Source development and interviews
- Investigative work
- Story selection and framing
- Community relationships
- Editorial judgment
- Accountability reporting
The goal is not to produce AI-written articles, but to eliminate the administrative burden that keeps journalists from doing journalism.
Relation to Broader Work
This connects to:
- Data Journalism — Using data to tell stories
- Journalism — Investigation methods and practices
- FOIA — Public records as source material
- CLI Tools — Building tools that serve specific workflows
See Also
| Journalism & Investigations | |
|---|---|
| Core | Journalism · Investigations · Source Handling |
| Methods | FOIA · Data Journalism · Dataviz · Documentation Discipline |
| Tools | ArchiveBox · Scrapbook-core · Personal APIs |
| Culture | Hacker Culture · PGP Communication Guide |