2026
- You Remember Every Word. They Got 200 Messages.
TL;DR: You spent an hour on the message. They gave it four seconds, somewhere between message 87 and message 88 of their day. Then you waited, and in the silence you built a story: they read it, …
- More Than Technology: How Agentic AI Changes Minds, Culture, and the Way We Build
TL;DR: Once usable agentic technology is available, the bottleneck often lies in how people, culture and ways of working change. For individuals, the core skill shifts to defining good, giving …
- The Other Half of Two-Pizza
TL;DR: Werner Vogels’ “A return to two-pizza culture” describes how a coding agent let one scientist prototype Amazon Quick Desktop overnight, and how ownership culture carried it from there. Reading …
- From Columbo to Coworker
🎬 Also available as a blog walkthrough video with narrated diagrams. TL;DR: Running many interactive AI agents at once feels like Lieutenant Columbo lives in your terminal: every few minutes one turns …
- AI Content Pipeline Deep Dive (5/5): Publishing
TL;DR: Publishing isn’t just “click deploy.” It’s image generation guided by performance data, LinkedIn teasers written from analytics insights, one-command deployment that handles auth, build, …
- AI Content Pipeline Deep Dive (4/5): Editing
TL;DR: Every post goes through five automated editing passes before publishing: challenging questions that stress-test the argument, a FAQ that tests whether the post explains what it claims, an AI …
- AI Content Pipeline Deep Dive (3/5): Collaborative Writing
TL;DR: The agent never writes the first draft. It studies your voice from previous posts, assists during drafting, and systematically reviews what you wrote. The result reads like you, not like …
- AI Content Pipeline Deep Dive (2/5): Research
TL;DR: AI agents are confidently wrong about 1 in 10 factual claims. The research phase of a content pipeline isn’t “ask the agent what’s true”, it’s a system of constraints that physically prevent …
- AI Content Pipeline Deep Dive (1/5): Ingestion
TL;DR: The ingestion phase is not about reading more. It is about building a system that reads for you, files what matters, and surfaces connections between ideas you captured weeks apart, at …
- AI-Assisted Talk Prep: The Recording-Analysis-Iterate Loop
TL;DR: I prepared my AWS Summit Hamburg talk through 6 recorded dry runs, each analyzed by a structured AI skill. The skill transcribes via Amazon Transcribe, counts fillers with word-level …
- The AI Content Pipeline: How I Publish 3x a Week Without a Content Team
Most technical professionals have the same problem. You have ideas. Good ones. You see patterns in your work, learn things worth sharing, form opinions backed by experience. But the distance between …
- The Bottleneck Moved: What 10 Studies Say About AI Developer Productivity
The Pattern I Keep Seeing Every few weeks, a customer asks me the same question: “We rolled out AI coding tools to 500 engineers. Why aren’t we shipping faster?” I wrote about this a month ago. The …
- AI Coding Productivity: 10%, Not 10x
The Number Nobody Wants to Hear A few weeks ago, I wrote about running my entire workday through an AI agent [1], meetings, research, CRM, content creation. Eight hours of productive work, not a …
- "It's Faster If I Just Do It Myself" — The Most Expensive Sentence in AI
The Moment I Almost Gave Up A few weeks ago, I spent 45 minutes teaching my AI agent how to prepare customer meetings. Pulling context from Slack, checking the CRM, looking up LinkedIn profiles, …
- The Coding Agent That Doesn't Code
The Friday That Wrote Itself Last Friday, I used a coding agent for eight hours straight. I didn’t write a single line of code. I prepared a customer meeting by pulling context from Slack threads, …