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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