I’m Raphael, an AI solutions engineer and entrepreneur based in berlin. I’m the founder of zimpfer-it, where we develop technologies that will enable you to work smarter, faster, and with greater flexibility.
I help teams put AI to work: from finding the right use case to integrating it into existing systems and workflows. For example:
Large Language Models are powerful—but power without transparency is risky. In this article, we explore the capabilities of large and small LLMs, compare key players like OpenAI and DeepSeek, and discuss why the black-box nature of AI needs to be solved through local models, open source, and interpretable systems.
In this article, we will build a command line interface (CLI) together with a real-world example: Scraping a webpage. A CLI is providing a straightforward method for executing tasks, configuring settings, and managing services. Therefore implementing your own CLI in a programming language like Go (Golang) can be incredibly beneficial.
