Reflections
What I actually think
On AI-first delivery, technology strategy, and what happens when expertise meets the right tools.
Four themes. The foundation is the same.
Replace or Assemble
A voice in my feed said: don't automate the human things. He is right, but the line runs deeper. The question isn't human versus machine. It is whether the orchestration replaces something you already carry, or assembles something missing from the room.
June 2026
Automation Before Agents
Most people don't trust a free-running AI agent -- they can't control what it does. The ones who win build it the other way around: stable, verifiable steps that an agent is allowed to start on command. Autonomy where it's safe, control where it counts.
June 2026
Same Word, Different Things
Three people can deeply disagree about AI and all be right -- because they mean different things by the same words. Skill, agent, automation. Most of what sounds like a method dispute is really a dispute about words.
June 2026
Coding Faster Isn't Enough
Two shifts are happening simultaneously and both must be handled -- but one makes the other harder. And nobody talks about why.
June 2026
The Impressive and the Billable Are Not the Same Thing
I've been asking people in the industry one concrete question -- have you shipped this to a paying customer? The answer is consistent and tells you something important about the gap between impressive and what actually reaches a paying client.
June 2026
Trust Comes Before the Technology
The real threshold for AI adoption in established organisations is not the technology. It is that no one has had the honest conversation with the leader yet.
June 2026
It's Not the Speed That Kills You
On why speed is not the problem with AI -- and why the crash reveals who actually owns what they built.
June 2026
The Project Was Done. No One Else Understood It.
On what happens when you build a project alone at high speed -- and then try to explain it to someone else. The code works. But the knowledge is stuck in you.
June 2026
Accountability in Three Levels
How carefully do you need to review AI-generated code? The answer depends entirely on which of three levels you're working at -- and confusing them is the most common mistake in AI-assisted development.
May 2026
The Work Loop -- Six Steps That Make Accountability Concrete
Six steps that translate personal accountability from a conviction into a concrete work process. Context management, the inner loop, and why the commit is the final accountability checkpoint.
May 2026
The leader who can't delegate
On why AI transformation cannot be delegated. And what it actually means to own it -- not as an advisor, but as the person responsible.
May 2026
You're not investing in AI -- you're investing in your goals
On why most organizations are asking the wrong question -- and what the organizations that actually succeed do differently. It's not about the technology. It's about what you're trying to achieve.
May 2026
Ninety Percent of the Problems Are AI-Generated
On what happens when a CTO reviews every commit for eight months and discovers that nearly all problematic code is AI-generated. Technical debt doesn't arise despite AI -- it arises because of AI.
May 2026
Each Meeting Alone Drives Nothing
It is not Copilot versus protocol versus handwritten notes. It is all meetings together versus each meeting alone. Loose summaries drive no outcomes. The sum of them can.
April 2026
The Person Who Succeeds with AI Is Not Who You Think
On why the person who gets the most out of AI is not the most technical -- but the one who understands business outcomes. Speed is proven. But speed without direction is just faster waste. The deciding factor is the one nobody talks about.
April 2026
They don’t want to understand — they want to check the box
On why leadership teams don't want to understand AI -- they want to report that they've done something with AI. And why you can actually help with the latter, if you stop explaining the tool and start talking about their people.
March 2026
It doesn’t start with the prompt — it starts with you
On why the most important thing you can do with an LLM has nothing to do with how you write the prompt -- but whether you understood the task before you started typing.
March 2026
Mustaschmilen -- from voice to production
Mustaschmilen reopened March 27 -- for the second year, on a platform that barely resembles the 2025 version. 70+ improvements. From hardcoded to fully configurable. This is what AI-first looks like over time.
March 2026
Messy and crisp
Two words that name something that had no name. On how I calibrate my own input layer -- and why it determines what comes out.
March 2026
My job is the questions
On what happened when I stopped writing instructions to AI and started asking myself questions instead.
March 2026
AI Forces You to Think Harder
On why AI doesn't reduce cognitive load -- it transforms it. And why that's the whole point.
February 2026
The Checkpoint Is the Job
On why I refuse auto-commits, auto-changelogs, and every form of unsupervised automation.
February 2026
It Was Never a Technology Question
About the time I dismissed a question as magic. And realized neither of us had the answer.
February 2026
From conversation to website
How a 15-minute phone call became a complete website. And why nobody asks how it happened.
February 2026
Text Is Data
Why all professional work is fundamentally about text -- and why that changes the entire picture.
February 2026
One Person, a Thousand Deliveries
How knowledge, chain, and accountability allow one person to deliver what used to require a team -- and why that changes everything.
February 2026
You Can't Validate What You Don't Understand
Why AI amplifies what you already know but doesn't replace what you lack -- and why the hype is dangerous.
February 2026
Three channels, one place
The practical infrastructure for capturing everything that gets said -- online meetings, in-person meetings, and phone calls in the same pipeline.
February 2026
Your Meeting Summary Is Worthless
Why generic AI summaries make the documentation problem worse, and what you should do instead.
February 2026
I Said It a Year Ago
On being early, the limits of context windows, and what happens when the market finally catches up.
February 2026
Everything I Say Ends Up as Text
On voice as raw material, why transcription changes everything, and the position nobody has claimed.
February 2026
I Am Smarter Than AI
On responsibility, judgment, and why the consequence of being wrong makes you smarter than any AI model in existence.
February 2026