Meta Prompting: Let AI Write Your Prompts
The most underused technique in AI: using the model to improve your inputs. How to generate, critique, and refine prompts using the AI itself.
Thoughts on building AI systems and product strategy.
The most underused technique in AI: using the model to improve your inputs. How to generate, critique, and refine prompts using the AI itself.
An agent is a system where the model decides the next step. That's it. Most things called 'agents' aren't - they're workflows with LLM-powered steps, which is usually the right architecture anyway. Understanding the actual distinction helps you buy smarter and build better.
Large Language Models explained without hype or jargon. The 4,096-dimensional mental model that explains hallucination, context windows, and how to use them well.
From port forwarding at eight years old to building AI systems for pharma—a twenty-year journey of refusing to accept limitations.
The distinction that matters is simpler than the terminology suggests. In a workflow, you define what happens. In an agent, the model defines what happens. Understanding when to use each—and how to combine them—is most of what separates successful AI implementations from expensive experiments.
I build workflows and agents that actually run—and stick around to maintain them.
I build AI workflows and agents that actually run in production—and stick around to maintain them.
Best fit: growing companies where ops can't keep up with volume, teams who tried AI and got burned, or regulated industries where you can't afford to get it wrong.
Based in Copenhagen. Available for remote or on-site (SF, NY, London).
What to expect: I respond within a few days. If there's a fit, we'll find 30 minutes for coffee or a call.
Have a quick question? — an AI that knows my work.
Skip the back-and-forth. Pick a time that works for you and let's talk about your project.
Book a 30-minute call →Prefer email? Drop me a note and I'll get back within a few days.