Why I started Everyday Agentry

I've spent over a decade leading technology projects, and the pattern I keep seeing has little to do with technology. It's time. Good people spend their days copying information from one system to another, chasing confirmations, re-typing the same answers and rebuilding the same report every Friday. Not because they want to, but because someone has to.

AI agents can finally take on a real share of that work. Not the flashy demos you see online, but the everyday tasks: sorting the inbox, filling the open shift, following up on the quote that went quiet. They're patient, they don't get tired at 4:59 on a Friday, and they handle the hundredth request as carefully as the first.

But I don't believe in handing an organization over to a machine. Every agent we build checks in with a person before anything important goes out. People keep the judgment calls, the relationships and the decisions. Agents take the repetition.

I also don't think this should only be for big companies with big budgets. The organizations that keep our communities running, the nonprofits, the local businesses and the public bodies stretched thin, are the ones with the least time to spare. That's who Everyday Agentry is for.

So that's the idea. Find the hours hiding in the work that fills your day, hand the repetitive parts to an agent, and give that time back to the people doing the work, and to the people waiting for them at home.

I'll use these notes to share what I'm learning along the way: what works, what doesn't, and where I think this is heading. If something here sparks a question, write to me. I read everything.

Darren