The all-rounders.
Drafting texts, clarifying questions, sorting ideas. Strong at phrasing, weak at fact-checking.
- ChatGPTOpenAI · USA
- ClaudeAnthropic · USA
- GeminiGoogle · USA
- Le ChatMistral AI · France
- CopilotMicrosoft · USA
Which tools exist, who is behind them and what to look for when choosing. No ranking, no advertising, no version numbers that will be out of date tomorrow.
Use a chat assistant. Give it a role, context and format, and edit the result yourself.
Learn to prompt ↗Use a research tool that cites sources, and open the sources. Chatbots without web search love inventing evidence.
Why AI hallucinates ↗Use a local model or do not enter anything personal. Health, sexuality and addresses do not belong in other people's clouds.
More on privacy & ethics ↗Try several generators and watch out for stereotypes. Label AI images when you publish them.
Report bias in images ↗Music AI is a good starting point, not a finished product. Edit it, break it and rebuild it, the way we do in our archive.
To our music ↗Drafting texts, clarifying questions, sorting ideas. Strong at phrasing, weak at fact-checking.
Search engines with AI summaries. Helpful if you actually open the sources they cite.
Assistants that write code, explain it and hunt for bugs. Always test the results; never copy them blindly.
Image generators inherit the biases of their training data. Pay attention to whom they show and whom they do not.
The youngest and most expensive category. Here deepfakes are not a side issue but the core risk.
Music and voice generators. Legally contested, because many were trained on copyrighted music.
Open-weight models run on your own computer without data leaving the device. A bit of tech curiosity helps.
Examples, not recommendations and not a complete list. Providers and models change fast. As of September 2026.
Mistral from Paris, FLUX by Black Forest Labs from Freiburg, DeepL from Cologne: European providers are bound by the GDPR and the AI Act. That does not automatically make them better, but it makes them more predictable.
Server location, retention period and whether your input is used for training. Many services offer an opt-out; you just have to switch it on.
Providers are subject to the laws of their country. Take particular care with services from states without independent data protection oversight.
Free often means you pay with data or with usage limits. Subscriptions are only worth it if you use the tool regularly.
Most models are trained mainly on English text, so quality in German and other languages varies. Test with your real tasks, not with demos.
Use tools that show sources when it comes to facts. And tools you can switch off when it comes to you.
Tools come and go. Judgement stays. Learn the basics and every new model is just another tool.
AI basics ↗