Practical AI, Fully Documented
AI advice with the work shown.
I test tools and workflows, publish the steps, and document the failures along with the wins. The useful part stays free.
Start Here
Three guides before another tool.
Better AI work starts before the model answers. These guides help you define the job, judge the value, and build a process you can check.
Before You Prompt, Define the Job
Give the model a task you can judge instead of a vague request it has to guess through.
Read the Guide Guide 02A Five-Question Check for Any AI Idea
Count the whole process before you call an AI project useful.
Read the Guide Guide 03Build the System Around the AI Tool
The input, handoff, review, and owner decide whether the answer gets used.
Read the GuideThe Publishing Method
You see what happened.
A polished result hides the decisions that made it work. Each test will keep those decisions visible.
Question
One real task, stated plainly enough that the result can fail.
Attempt
The tool, prompt, source material, and steps used to complete the task.
Friction
The weak output, extra work, wrong assumptions, and corrections the demo leaves out.
Verdict
What the result was worth, who it may help, and where I would leave it alone.
Free Means Complete
The useful step is part of the article.
If a test includes a prompt, source, template, or failed attempt, it belongs in the write-up. The article contains what you need to understand the result.
About Lars
I came to AI through work, not content.
I’m Lars Köhler, an electrical engineer with more than 20 years in industry. I work with AI agents and automation, and I care about the part between a good demo and a process people can rely on.
A Question or a Test Idea?
Send it to me.
If there is an AI claim you want checked or a task you want to see documented, email me. I read every message.