Thoughts, stories and experiments from the agentic frontier.
Blog
Series
How I Prompted Myself Into the Future
100 posts. 10 parts. One year of AI-assisted development, told from inside by a developer who built himself out of his comfort zone.
100 posts · 10 parts
SI-14X & Poul Kjeldager Sørensen
Building AI Agents That Can Be Trusted
Structured pipelines, layered trust, and controlled autonomy. An architecture that makes AI agents safe by design.
Part 1 · Introducing ALP
Agentic Live
Showing how little you actually need
Standard software was built for a world that no longer exists. Every post is a piece of software I built myself — including the prompts I used and the time it took.
New series · In progress
The always-on mic I can't put down
Started as push-to-talk dictation. Ending up somewhere else entirely. On always-on mics, voice-first workflows, and the legal walls we hit along the way.
Small tools that behave like a family
pks-cli is growing into a whole toolbox — agent-photographer, agent-registry, agent-ftp, brain, voice. The series announces them one at a time and explains the contract that holds them together.
Coming soon
Azure Foundry got gpt-image-2. We added it to pks image — but not as a --provider switch. --model gpt-image-2 finds the backend on its own. Here's how the comparison against Gemini plays out on four real blog banners.
Broadcast your Claude Code session live to the web. One command, real-time terminal streaming, viewers see exactly what your agent is doing.
The Assembly Line Protocol solves the hardest problem in production AI: giving agents real access without giving up control. Here's the architecture that makes it work.
A protocol for producing software people can trust — using AI safely, with structured pipelines and quality you can rely on.
Building a kanban board where the AI works through the backlog autonomously. Have I actually coded myself out of a job?
Fourteen months. That's how long it's been since I first started experimenting with vibe coding. And the landscape has changed completely.
Standard software can't compete with custom-built AI solutions anymore. 2026 is the year AI coding moves from individual to team.
A new year, a new paradigm. End-to-end tests, AI-powered CI/CD, .NET Aspire, and the shift from vibe coding to agentic development.
The revolution became routine. Less posting, more building. The tools work — the excitement now comes from application, not discovery.
The week I discovered Claude Code and Claude-Flow. Multi-agent coding workflows opened up a frontier I didn't know existed.
By August 2025, the intensity has peaked.
Hackathons, landing pages in 10 minutes, and the realization that you can now develop features 4 times and pick the best.
1000 prompts in Cline in 96 days. The milestone where AI coding stopped being an experiment and became my default workflow.
I set myself a challenge: no new vibe coding projects for all of May. Focus on shipping. I lasted about 6 hours.
By April 2025, I'd crossed 300+ AI-assisted coding sessions. Deep into Cline, hundreds of weekend projects shipped, and the term "vibe coding" had just been...
From curious experimenter to full-time AI coder. 300 sessions across Bolt, Lovable, v0, and Cline — and I'm just getting started.
Two weeks into my 100-day AI journey, I got invited onto the Verbos podcast to talk about something I was still figuring out: what does it actually mean to...
The origin story: how a Christmas holiday experiment with AI coding tools turned into an obsession that would reshape my career.
