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workflowautomatisering

Everything on workflowautomatisering in one place.

3 articles

  • The mountain of emails on Monday morning

    The manual work that returns every week does not have to stay with you. What AI can take over from your emails, reports and quotes, and how you start small.

    Sunday evening. The laptop is open on the kitchen table and you should actually be sitting on the sofa by now. But quotes still need to go out, three clients are waiting for last week's report and your inbox is full of requests that you have to answer all just a little bit differently. It is not difficult work. It is work that returns every week, and that steals exactly the hours you wanted to give to your clients.

    This is what it looks like for many freelancers I meet. They are good at their profession, and in the evening they are stuck with the manual work around it.

    5 min readFree with an account
  • Skills or flows: when plain language is the wrong format

    Describing a work process in plain language for an agent is flexible, but not always smart. When it is better to build a fixed workflow, and how to spot the difference.

    One of the most beautiful things about working with AI agents is that you can describe processes in plain language. You write down how you do something, step by step, and the agent follows it. Such a description is called a skill in many tools. But in my workshops I also warn people: not every process belongs in plain language.

    At the bottom of this article is a prompt that helps you figure that out for your own process.

    What a skill is

    A skill is essentially a description of a work process. A standard operating procedure, written in Markdown, that an agent reads and executes. For example: if someone wants an appointment, ask for their name, date and location, check the calendar to see if it fits, suggest an alternative if it does not fit, and send the invitation after agreement.

    5 min readFree with an account
  • From chatbot to workflow: building your first AI workflow

    The difference between a chatbot and an AI agent, and an exercise to build your first own AI workflow this week.

    There is a shift happening that most people have not noticed yet. We are moving from asking AI questions to managing AI workflows.

    At the bottom of this article is a prompt that helps you map out your first workflow together with AI.

    What is the difference between AI agents and chatbots?

    A chatbot waits for your input and gives you an answer. An AI agent gets 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.

    3 min readFree with an account

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