My father has a garden and a smart home. Sensors, irrigation controllers, AC units, lights, water meters. He's gone deep on this stuff over the years, and he had a growing list of complaints that none of his apps could quite handle.
He wanted the garden watered on a schedule that changes with the season. Lights that turn on and off without him touching five different apps. A heads up when his water bill was about to spike. Each of these things lived in a different system with its own dashboard and its own login.
He was telling me all of this over the weekend, walking me through the products, the protocols, the gaps. And I said: "What if you just messaged something on WhatsApp and it handled all of it?"
He didn't get what I meant. He started telling me about the different apps, the protocols, which system talks to which. His whole mental model was pre-agent. It was like trying to describe color to someone who's never seen it. He's sharp, that wasn't the issue. Nothing in his experience had a reference point for "just message it on WhatsApp and the house handles the rest."
The thing is, my father has been using Claude and ChatGPT more and more over the last year. He sees value in them. But I'm pretty sure he thinks of them as advanced search, and I don't blame him for that. Most people on the planet think the same thing. And if I hadn't spent my own evenings and weekends digging into data science and machine learning, I'd probably think that too. The jump from "it answers my questions" to "it runs my house" isn't obvious. You have to see it to believe it.
So we pulled up Claude and ChatGPT to speed-run through the vendor docs and manuals, confirmed that enough of his devices spoke open protocols, and then I installed an AI agent on his PC called OpenClaw.
If you haven't come across it: OpenClaw is open-source, runs locally on your machine, and connects to whatever messaging app you already use. WhatsApp, Telegram, Signal. It can run commands and control devices, browse the web, manage files. It remembers what you've told it, it runs around the clock, and it can act without being prompted. People have been calling it the closest thing to Jarvis we've got, and after using it, I get why.
My father is 27 years older than me. He's never written a line of code in his life. But he sat down, and OpenClaw walked him through a get-to-know-you. His devices, his preferences, how he wants things to run. He was delighted. And then the two of them started building together.
A few days later I followed up. Not to check whether the garden was perfectly automated. I sent him a short set of safeguards: allowlist only, limited permissions, no third-party skills unless he'd read them, keep it away from anything involving payments, passwords, or sensitive accounts. We talked it through on the phone. He implemented them.
That's the proof, for now. Nothing is finished. But he knows the move: "I'll tell my agent." And that sentence doesn't have a full stop.
A few months ago, if I wanted an AI to perform an actual task in my life, like watering a garden on a schedule or alerting me when something spikes, it took serious work. APIs, scripts, integration debugging. A week or two of tinkering before I'd know if the idea was even viable. Now it takes about an hour. Sometimes less.
But the speed isn't really the story here.
In the corporate world, we talk about domain reengineering, process redesign, digital transformation. But this stuff doesn't stop at the doors of a company. AI agents are going to touch every part of how we live. Everyone now has access to what are arguably the best advisors on the planet, sitting in a chat window, ready to work.
This is like electricity. When Edison was burning through filaments trying to make a light bulb work, and Tesla and Westinghouse were fighting over whether the future was AC or DC, nobody had the right mental models for what they were dealing with. People touched live wires. They did dangerous things. They thought they could connect it to dead bodies and bring them back to life like Frankenstein. The technology was real. People's understanding of what it could do to them was not.
We're in that same moment with AI agents. They work. Most people just don't know what to do with them yet, or how to stay safe around them.
People don't need to become experts. My father is an electrical and electronics engineer, but I never studied electrical engineering. I just know enough not to stick a fork in a power socket, and that's kept me alive. That's about where we need to get people with AI. Just enough to use it safely and enough to start re-architecting how they live.
Sitting next to my father, though, I kept thinking about what just happened.
Nobody taught him to code or walked him through a terminal. I plugged in an agent, pointed it at WhatsApp, and he started talking to it about irrigation schedules and AC settings. He was speaking in the language he already thinks in.
The whole "technical vs. non-technical" divide, the thing that's shaped careers, org structures, hiring decisions for decades, it's eroding.
My dad is probably not going to launch a startup. I know that. But the barrier went from "learn to program" to "learn to say what you want clearly." And a lot of people who've spent thirty years running businesses or managing households are already very good at that.
Like many of us, I've seen the hype cycles. But this now is different because the thing people are hyped about actually works. And its getting better every day and its going to keep getting better.
These tools are improving faster than most people realize, and every day we wait to understand them makes catching up even harder.
So we start now, wherever we are, and we bring as many people with us as we can.
If you haven't put an agent to work yet, try it. Give it a real task, not a parlor trick. Then show someone else how to do the same.
For me, it started last weekend, on my father's PC.