City media is broken. AI can fix it.
Toronto's media landscape is a mess. blogTO runs SEO-farmed listicles. Toronto Life publishes once a month. The local TV stations cover crime and weather. Nobody is doing what cities actually need: a fast, opinionated, useful daily guide to what's happening, where to go, and what matters.
The problem was always economics. A traditional media company needs writers, editors, photographers, a sales team — tens of thousands per month in overhead before a single article ships. That's why city media keeps dying.
AI changes the math. One person with the right AI stack can research, draft, fact-check, and publish at a pace that used to require a team of ten. The editorial voice, the opinions, the "this place is mid" energy — that's human. Everything else is accelerated.
What AI does here (and what it doesn't)
Transparency matters. Here's the split:
"The future of city media isn't bigger newsrooms. It's smarter tools in the hands of people who actually know the city."
— Greg, FounderWhat we're built on
This is a proof of concept for every city
If one person can build a better city media brand than a 50-person newsroom using AI, that's not a Toronto story — it's a blueprint. Every city in the world needs this: fast, opinionated, useful local media that doesn't depend on ad-driven SEO garbage to survive.
Toronto is first because it's home. But the model works anywhere.
Want to talk about this? Reach out. We're open to collaborations, sponsorships, and conversations about the future of local media. This is just the beginning.