Reflections

What I actually think

On AI-first delivery, technology strategy, and what happens when expertise meets the right tools.

Accountability in Three Levels

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.

24/24 · 2026-05
The Work Loop — Six Steps That Make Accountability Concrete

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.

23/24 · 2026-05
The leader who can't delegate

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.

21/24 · 2026-05
You're not investing in AI — you're investing in your goals

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.

22/24 · 2026-05
Ninety Percent of the Problems Are AI-Generated

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.

20/24 · 2026-05
Each Meeting Alone Drives Nothing

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.

19/24 · 2026-04
The Person Who Succeeds with AI Is Not Who You Think

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.

18/24 · 2026-04
They don’t want to understand — they want to check the box

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.

17/24 · 2026-03
It doesn’t start with the prompt — it starts with you

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.

16/24 · 2026-03
Mustaschmilen — from voice to production

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.

15/24 · 2026-03 · produktion, metodik, betalning
Messy and crisp

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.

14/24 · 2026-03
My job is the questions

My job is the questions

On what happened when I stopped writing instructions to AI and started asking myself questions instead.

13/24 · 2026-03
AI Forces You to Think Harder

AI Forces You to Think Harder

On why AI doesn't reduce cognitive load — it transforms it. And why that's the whole point.

12/24 · 2026-02
The Checkpoint Is the Job

The Checkpoint Is the Job

On why I refuse auto-commits, auto-changelogs, and every form of unsupervised automation.

11/24 · 2026-02
It Was Never a Technology Question

It Was Never a Technology Question

About the time I dismissed a question as magic. And realized neither of us had the answer.

10/24 · 2026-02
From conversation to website

From conversation to website

How a 15-minute phone call became a complete website. And why nobody asks how it happened.

9/24 · 2026-02
Text Is Data

Text Is Data

Why all professional work is fundamentally about text — and why that changes the entire picture.

8/24 · 2026-02
One Person, a Thousand Deliveries

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.

7/24 · 2026-02
You Can't Validate What You Don't Understand

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.

6/24 · 2026-02
Three channels, one place

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.

5/24 · 2026-02
Your Meeting Summary Is Worthless

Your Meeting Summary Is Worthless

Why generic AI summaries make the documentation problem worse, and what you should do instead.

4/24 · 2026-02
I Said It a Year Ago

I Said It a Year Ago

On being early, the limits of context windows, and what happens when the market finally catches up.

3/24 · 2026-02
Everything I Say Ends Up as Text

Everything I Say Ends Up as Text

On voice as raw material, why transcription changes everything, and the position nobody has claimed.

2/24 · 2026-02
I Am Smarter Than AI

I Am Smarter Than AI

On responsibility, judgment, and why the consequence of being wrong makes you smarter than any AI model in existence.

1/24 · 2026-02