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Working smarter with AI
Working smarter with AI: tools, techniques and practical workflows
Practical AI techniques that actually work: briefing AI properly, automating workflows with AI agents, being found by AI assistants (GEO) and a different perspective on your work.
How do you actually use AI at work?
AI does not make you faster at the wrong things. The professionals who get real value out of AI are not the ones with the most tools. They are the ones with a system to look at their work differently.
That system starts with a question most people skip: which parts of my work need my judgement, and which can AI take over? If you make that distinction well, everything changes. You stop asking AI random questions and start building workflows that handle entire processes.
How do you get found by ChatGPT, Claude and Perplexity?
More and more people no longer search via Google, but ask an AI assistant. It gives one answer, with a handful of sources. If you are not included there, you do not exist for that client. Tackling that is called GEO, generative engine optimization: building your website, your texts and your profiles in such a way that AI assistants find, understand and cite them. It looks like SEO, but it requires something else: clear answers to real questions, clear facts about who you are and what you do, and a site that machines can read smoothly.
What is the difference between AI agents and chatbots?
There is a shift happening that most people have not realised yet. We are moving from asking AI questions to directing AI workflows.
A chatbot waits for your input and gives you an answer. An AI agent is given a goal, breaks it down into steps, uses tools and delivers a result. The difference is like the difference between asking someone for directions and hiring a driver who knows the route.
Anyone who directs agents must think clearly about what matters. Agents amplify your intentions. If your intentions are fragmented, your agents will be too.
Which tools and techniques do I teach you?
Briefing AI properly: not just writing better prompts, but giving AI the context it needs: who you are, how you work, what good work is. That way you get usable results every time, instead of getting lucky once.
Workflow automation: using platforms like n8n to connect AI to the tools you already have. Processing emails, content pipelines, data analysis, client communication: automated, with AI in the loop where it adds value.
Creating content with AI: from first draft to final version, with AI as a writing partner that handles structure and research, while you bring your voice, your judgement and your expertise.
Model Context Protocol (MCP): connecting AI directly to your databases, documents and business tools. This is where AI stops being a separate application and becomes a part of how you work.
GEO: building your website and your texts in such a way that AI assistants find and cite you when someone asks a question about your field.
Why does collecting tools get stuck without a system?
There is a pattern I see in almost every team I work with. Someone discovers a new AI tool, gets excited, uses it for a week and then forgets about it. Three months later that person discovers another tool. Same cycle.
The problem is not the tools. The problem is that no one paused to ask the question: what do I actually want to achieve, and what does a good workflow look like?
I call this the AI Tool Trap. The solution is not fewer tools or more tools. It is stepping back far enough to see the system. In my workshops we call that moment the Sacred Pause: the discipline to think first and only then automate.
Where do I start?
Frequently asked questions
What is the difference between a chatbot and an AI agent?
A chatbot waits for your question and gives an answer. An AI agent is given a goal, breaks it down into steps, uses tools and delivers a result. So you direct an agent the way you give someone a task, not the way you ask someone a question.
What is GEO and why is it important?
GEO, generative engine optimization, makes your website and your texts findable for AI assistants like ChatGPT, Claude and Perplexity. They give one answer with a handful of sources. Anyone who is not listed as a source there will not be found, even if the site scores well in a classic search engine.
What is the AI Tool Trap?
The AI Tool Trap is the pattern where you try out one AI tool after another without your work actually changing. The way out is not more or fewer tools, but first thinking about what you want to achieve and what a good workflow looks like. I call that moment the Sacred Pause.
Do I need to know how to program to build AI workflows?
No. With tools like n8n and today's AI assistants you build workflows without code. What you do need is clarity: which task you want to tackle, which part requires your judgement and what AI can take over.
How do we proceed?
Choose what suits you.
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