Welcome to the first issue of The Humming Agent Brief.

Here’s the deal. I spend every week inside real businesses, building AI that actually ships. I see what works, what flops, and what’s coming before it hits the hype cycle. Most of that signal has nowhere to go.

Now it does. Twice a month: what’s actually working inside real businesses, one thing to try tomorrow, and one thing worth knowing. No hype, no filler.

THE PATTERN

The pattern we keep seeing

Something shifted in the last 12 months, and the businesses feeling it most aren’t the ones talking about it. Work that used to take teams a quarter now takes a week. Not because anyone got smarter. Because the leverage changed, and most budgets, plans, and hiring models haven’t caught up.

But here’s the part that surprises people: the money isn’t where the excitement is. The AI that pays for itself is unglamorous. It checks things. It answers things. It moves information from one place to another without being asked twice.

Find the task someone does 500 times a month. Automate that. That’s the whole strategy.

FROM THE FIELD

A week of hours, returned

A finance team validates vendor invoices, around 500 a month. Each one: open the invoice, check it against the ledger, flag mismatches, route exceptions. Six minutes each when nothing’s wrong. That’s roughly 50 hours a month, a full week of skilled hours, spent on checklist work.

We built an agent that does the checking. The humans do the judging. The team now reviews a one-page exception report instead of 500 invoices, and the week of hours goes back to work that actually needs a human brain.

No press release. No transformation roadmap. Just a Tuesday, fixed. Multiply that across a business and you have the whole quiet story of 2026.

TRY THIS TOMORROW

Ask three people on your team: “What task do you do every week that a smart intern could do with a checklist?”

Two rules. Ask separately, not in a meeting, because one-on-one people confess. And write the answers down word for word, because how people describe a task tells you how much they hate it.

That list is your AI roadmap, in order. The task that shows up twice is where you start.

SIGNAL CHECK

What we’re seeing

1. The gap between demos and deployments keeps widening. The impressive things on stage and the profitable things in businesses are increasingly different lists. Judge vendors by their renewals, not their keynotes.

2. Small teams are moving first. The most aggressive AI adoption isn’t in enterprises with task forces. It’s in 10-to-50-person companies where the owner can decide on a Tuesday and ship by month-end.

3. The question is changing. Six months ago prospects asked “what can AI do?” Now they ask “what should WE do first?” That shift is what the early majority sounds like when it arrives.

WORTH KNOWING

What did your team feed the chatbots this week?

Here’s a question most leadership teams can’t answer: what AI tools did your employees use this week, and what went into them? The honest answer at most companies is “no idea.” It’s client names in a free chatbot, financials in a personal account, contract terms on someone’s phone. Done by your best people, for good reasons, with no safe alternative offered.

Policies don’t fix this. Alternatives do. The companies getting it right give their teams a private AI inside their own walls, one that’s genuinely better for the work, so the sanctioned option wins on merit. Visibility follows adoption, not enforcement.

Want to talk through what a private AI looks like in your operation?

Until next time,

Shawn Kercher

Co-Founder & CTO, HummingAgent AI

P.S. Want to share this issue? It’s also on LinkedIn