AI Agents: Why Jens Polomski Turned Off the First One Again

Jens Polomski, an experienced IT expert, explained in a recent article why he shut down his first AI agent. His experience shows that the introduction of AI tools often goes hand in hand with a phase of adaptation and optimization. The first AI agent he used proved to be too inaccurate or insufficient in the implementation of his work processes. Polomski emphasizes that the integration of AI does not automatically lead to an increase in efficiency if the tools are not well adapted to individual needs. Instead, he relied on targeted selection and continuous adaptation of his AI tools in order to optimally integrate them into his workflow.

Polomski’s experience reflects a trend emerging in various industries: AI tools are increasingly being used to improve work organisation. One article describes how leaders use AI-powered knowledge systems to structure their workflows and increase efficiency. These systems serve to organize, prepare and make knowledge accessible – a function that is also becoming increasingly important in today’s working world. At the same time, it shows that the use of AI lies not only in the organization of knowledge, but also in the automation of routine tasks.

Another example of using AI is developing apps with the help of AI. An article describes how users without programming skills can use AI tools to create an Android app for cycling. This highlights how AI is able to simplify complex tasks and reduce the barriers of technical training. At the same time, however, it becomes clear that the use of AI tools does not automatically lead to perfect results. It requires careful planning and continuous adjustment.

Another area of application for AI is language processing and live translation. A test method compared tools such as ChatGPT, DeepL and Google to show how generative AI is increasingly used in interaction. Results show that AI tools are able to overcome language barriers and improve communication. At the same time, however, it is emphasized that the quality of translations depends on the technology used and the application situation.

The experience of Jens Polomski and other users shows that the integration of AI into the work process requires careful and continuous adaptation. AI tools are not automatically a solution to all problems, but must be adapted to individual needs. At the same time, they enable greater efficiency and better organization of work. The challenge is to take advantage of AI without underestimating the risks and limitations.

## What this means for users The AI Agent Modules in xynap enable organizations to use AI tools efficiently and safely to optimize work processes and improve the organization.