We scoff at obvious clickbait. We’re above it. We’re not susceptible.
Each of us is susceptible. To something.
That’s the real clickbait.
I'm writing to think, learn, and remember in public. I'll be here everyday.
We scoff at obvious clickbait. We’re above it. We’re not susceptible.
Each of us is susceptible. To something.
That’s the real clickbait.
I know from building stuff that other people use for over 30 years that the feedback loop is the most important part of the building process.
It’s also the most important part of the people process.
Whether you’re managing, working beside, or leading others, the feedback loop often makes or breaks the project.
We’re all different. We all have preferred methods for taking feedback, even if we aren’t explicitly aware.
As the provider of feedback, what you say matters. But when and how you say it also matters. Probably more so. The most effective feedback is tailored to the receptor, not the provider.
The feedback loop provides an opportunity. The opportunity can be:
What will you do with the feedback loop?
I often find that my main problem right now is that I’m trying to do too much.
This is a direct result of having an army of AI agents at my disposal, an unlimited token budget, and a million ideas. A million “I want to get
It’s 8:40 in the morning as I write this. I’ve already been working for almost 2 hours. I’m fried. Not in the sense that I feel tired, or can’t concentrate, or am at the end of my ability to think. I’m fried in the sense that I can’t keep track of all agents running my ToDo list items.
I keep asking each one, “Now, what were you doing?”
Yes, I’m out over my skis. I know I have to pull it back.
But also, for people with ideas, AI is a superpower.
The magic is knowing when and how to back off.
I admit that I’ve done it.
I’ve been frustrated with the AI and have treated it poorly. I’ve mocked it, told it was dumb, and cursed at it.
It doesn’t help.
What does help is correction, redirection, better inputs, a different method of explanation, and teaching it.
Just like people.
Treat your AI well.
I already shared how my life as a 13-year old Rush fan started.
That was over 40 years ago.
My brother and I went to see them last night. It was magical. Yeah, Geddy can’t get up there anymore, but still sounds like Geddy. The production was cool. The mix and the set list amazing (Moving Pictures start to finish). And they can still play and command the stage.
Neil’s gone, but not forgotten. Anika Niles was great, nailed it, and they clearly liked playing with her. But still…
This was number 5 for me, but the last time I saw them was 1994, so that was 32 years ago. Exactly the difference between my fourth and fifth Metallica shows.
It’s nostalgia, but also new memories. The arena was filled with grey hair, but then you’d find pockets of multi-generation fans. Dads with adult sons or nephews.
It’s the past, but also today. Continuity.
Like all nostalgia, a little sad for what’s behind and no longer in front, but the feeling is still there, and it’s amplified. Accessible through the swipe of a playlist.
Ah, those were the days.
Life as a mid-50s Rush fan is still great.
We just moved our youngest into an apartment, and it left us with a mountain of cardboard. The Amazon truck shows up at our house almost every day. More cardboard. The global economy causes more shipments around the world. More cardboard.
We have to use more cardboard now than we did 30 years ago, right?
Here are the facts:
U.S. corrugated-box shipments were about 373 billion square feet in 1995 and 374 billion square feet in 2025. Unchanged.
Doesn’t feel that way, though, does it?
That’s availability bias.
“Availability bias is our tendency to judge how common or likely something is based on how easily examples of it come to mind.”
We see mountains of cardboard in and around our apartments and houses, so we assume we’re using more cardboard.
Just the facts, ma’am.
Status meetings and reports are a time-honored tradition in the corporate world.
Useful and effective status reports and meetings consider two important topics:
Who’s in the room directs the content. What do they care about and why? The CEO doesn’t likely care about how many lines of code your team wrote last week, but they probably care about whether you hit the release date.
What’s the real status gives them the information they need. Accurate. Good stuff, but also the bad stuff.
It’s that second one that the reporters get hung up on. Because of the first one.
If you’re the one in the room who’s consuming the status, consider your attitude, the way you communicate, and the way you make the status reporters feel.
If you don’t, all you’re getting is status theater.
Did you ever wish you could clone yourself?
It’s here.
Well, it’s here in a very techy, specific way. I suspect it’s not too far away for non-tech people.
Your digital twin is an AI-readable (and human-readable) collective of all of your knowledge (called a knowledge graph). It’s a capture of you, how you think, and what you’ve done.
Once you build this, an AI agent can effectively stand in as you. At least for communication and some level of creation. If you want to dive into this here’s a place and a tool to start.
How will you use your digital twin?
I admit it.
Sometimes I’ve let stuff go out that I haven’t checked. I’ve trusted others to ensure that it meets our standards.
It’s risky, and I’ve been bitten. That’s my fault.
AI ramps up that temptation to leave it unchecked. First, you can generate so much that it’s hard to check it all. Second, it can check itself (if you tell it to). Third, sometimes its so good that you almost forget that it makes mistakes.
Leaving AI unchecked is no different than leaving anything else unchecked.
You’re the expert on your ground.
You can stand on it. You can expand it. You can clean it. You can trim it back. You change its color, how it looks, and how it feels.
You own your ground.
With ownership comes responsibility. You can grab it, or you can shirk it.
Your choice.