Philosophy
Everyone promises AI revolution. I deliver reality checks. Here's what I believe — and more importantly, what I've learned works.
I've spent 30 years building things. Starting companies, scaling teams, shipping products. Learning what works through doing — and learning what doesn't through expensive failures.
These convictions aren't theory. They come from carrying problems all the way to payment, from training developers who had to own every line, from telling clients what wouldn't work before they spent money on it.
Below is the system — six pillars, one root. Scroll down to see how they connect.
Value-based engagement focused on outcomes, not hours. Real conversations about real challenges. Hands-on implementation alongside your team. Knowledge transfer that builds lasting capability.
30 years of building things. Starting companies, scaling teams, shipping products. Learning what works through doing — and learning what doesn't through expensive failures. This philosophy isn't theory; it's hard-won understanding.
I write about these ideas in Swedish — personal reflections on accountability, validation, voice, and what one person can deliver. Eight articles, same convictions, different register. Read the insights →
Foundation
Personal accountability generates everything else.
The root
Personligt ansvar
“Du äger varje rad kod. AI är bara verktyget.”
Accountability can't be delegated. Consequences create judgment — AI has no skin in the game. The moment you accept 'I own every line,' everything else follows. It's not one principle among many. It's the principle that makes the others exist.
◆ Read the insight →Medveten friktion
Because you take responsibility for every step
No auto-commits. No auto-changelogs. No agents without oversight. Every checkpoint is a decision point. What looks like efficiency — automation — is actually erosion of professional responsibility. Slower per transaction, faster per correct result.
◆ Read the insight →AI kräver skarpare tänkande
Because you must validate what you own
Everyone sells AI as 'think less, do more.' Reality is the opposite. You stop writing and start defining, validating, deciding. The shift goes from builder mentality to reviewer mentality — and that's cognitively more demanding, not less.
◆ Read the insight →Kontextfönstret ÄR verktyget
Because you're responsible for output quality
The real skill isn't prompting — it's what you fill the context window with. Your code, your ideas, your transcripts, your domain data. The more unique content you feed, the more tailored the result. Input curation, not prompt engineering.
◆ Read the insight →Hela kedjan
Because accountability doesn't end at the code
Problem → Solution → Delivery → Payment. An incomplete chain delivers incomplete value. Those who've owned the customer see AI's potential immediately. Those who've only coded see it as faster coding — that's 10% of the value.
◆ Read the insight →Kunskap förstärks, den ersätts inte
Because you can't validate what you don't understand
Senior + AI = 4-5x productivity. Junior + AI = faster mistakes. AI is a catalyst, not a replacement. It doesn't make unknowing people knowing — it makes knowing people faster. The professional identity transforms: from code writer to system conductor.
◆ Read the insight →“Ansvar är inte en del av processen — det ÄR processen.”
Everyone promises AI revolution. I deliver reality checks. Here's what I believe — and more importantly, what I've learned works.