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Navigate to NW Tech Show - Live AI Reporter - Aug 14Cream background with words: How this is made The newsroom is one person - me - which raises a fair question: how does one person cover four municipalities' worth of public business before breakfast? There is a thing in video games called a tool-assisted speedrun: a player uses software - frame-by-frame input, save states, automation - to play through a game with a level of precision and speed that no human could achieve in real time. The result isn't laziness or cheating. It's a demonstration of what the game makes possible once you stop pretending the constraints of human reflex are the constraints of the medium. Tucson Daily Brief is that same idea, applied to local news. The tools are large language models, transcription engines, public-data scrapers, schedulers, and a few hundred lines of glue Python. Together, the run reads every agenda packet that drops, listens to every council meeting that streams, scans every public-records filing, and synthesizes what the rest of the Tucson press is reporting - most mornings, before breakfast. The legacy economics of local news will not support the coverage this city deserves. So I'm running a speedrun instead. The forward-looking work - meeting previews, the Around Town feed - publishes automatically, because it summarizes what is already on the public record. Everything that reports what happened - meeting reports, in-depth features - is Al-drafted but reviewed and edited by a human before it goes live. Every piece carries a clear note about how it was made.

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