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Blog on AI at work
Articles on the practical use of AI in companies: from training rooms, from reading the regulations and from everyday work with the models.
AI made me a thought leaderGemini made me an almost leading AI guru. Why I usually pick ChatGPT for Deep Research and how to check that a report separates facts from marketing.
AI saved someone time. It cost me several hoursAI makes writing a report faster, but someone has to check it. Why I count time savings for the whole process, not just for the author.
An AI trainer also looks for the button at his own trainingAt my own training session I searched for an option hidden under three dots. Why in AI training diagnosing a problem matters more than clicks.
I don’t want AI to praise meIn my instructions for AI I ask for honesty instead of praise. How to write a prompt so that the model’s criticism helps you make a better decision.
A footnote in an AI report is where checking beginsIn a Deep Research report I clicked a footnote and could not find the stated amount. Three questions I ask every footnote in an AI report.
I built an integration because attachments annoyed meMy email plug-in could not handle attachments, so with AI’s help I built my own MCP server. Where to start with automation in a company.
So what did I use Claude for? I sent it to LinkedIn instead of meI handed a LinkedIn conversation with a copywriter over to Claude. The AI managed the task, but mistook an expert for a subordinate.
I built the website faster than I agreed it with my clientI built a website for a beauty salon with AI faster than my conversations with the client lasted. What is left to do when delivery speeds up.
Fix one paragraph. Don’t order another documentInstead of asking AI for a new version of the whole document, I select one paragraph and give one criterion. Why narrow prompts shorten checking.
A good knowledge base should sometimes say “I don’t know”In a knowledge base built on your own documents, a good answer is sometimes “I don’t know”. A simple experiment in Gemini Notebook and a test I recommend.
Not every repetitive task needs a skillA skill, a saved procedure for AI, does not always pay off. Four questions I ask before turning a task into a skill.
I learnt the most about AI by keeping a journalFor several months I kept a daily journal with AI. Why regular work on your own matters teaches you AI better than yet another feature demo.
“Skill created” does not mean “it works”The message “skill created” proves nothing yet. How I check a saved procedure for AI: a new conversation and three test cases.
Does AI training actually work? Good feedback from participants is not enoughHow do you assess whether AI training in your company has worked? Why participant satisfaction is not enough and what is really worth measuring.
A ready-made prompt wanted to comb my hairA ready-made image prompt wanted me to comb my hair in a Tokyo flat. What reading other people’s prompts before using them teaches me.
Will contact with a human become a premium service?Automatic doors work well, yet in a better hotel a person opens them. My hypothesis about what customers will pay for in AI-assisted service.
A prettier image is not always a better oneOne AI image was prettier, but I looked less like myself in it. Why I set the evaluation criteria before generating the result.
Is an AI-generated background a deepfake? Surprising examples from the European Commission’s guidelinesIs an advert with an AI-generated background a deepfake? I look at the European Commission’s examples and the problems with interpreting the AI Act definition.
Who actually did the work? On using AI responsibly in a companyA finished AI output does not always mean the work was done well. How do you set rules for using AI that protect your team’s accountability and skills?
The KREDO method: a new way to write AI promptsKREDO is our own method for building prompts: Context, Role, Editing, Action, Reference. It grew out of hundreds of prompts written during our training sessions.
NotebookLM at work. How to turn documents and recordings into a useful knowledge baseHow can a company use NotebookLM for knowledge management? Practical uses, document analysis and answers that point to their sources.
AI in writing grant applications. From finding calls for proposals to reviewing the finished projectHow can AI support the grant process? Finding calls for proposals, analysing the documentation, writing applications and assessing the project.