Working with AI

Working methods, workflows and routines around the productive everyday use of AI — from repeatable processes and speed tooling to cost-aware handling of tokens.

“Working with AI” is not about the theory behind language models, but about the productive everyday: how you actually build AI into your daily work so that you get better results faster. It matters less which model you use and more how you use it — with which processes, routines and ground rules. That is exactly what separates “I once asked ChatGPT” from a system that delivers reliably.

The four building blocks in concert

It all starts with workflows — repeatable processes for content, code or research. Instead of reinventing every task, you build fixed steps: prompt templates, clear input and output formats, review and correction loops. A good workflow is documented and transferable, so others can use it too — or you automate it later.

On top of that sits productivity. This is about speed: running several tasks in parallel, choosing the right tooling (from the chat interface to the API to agents that work through multi-step tasks on their own) and establishing routines that remove friction. Not every task belongs with the AI — the trick is recognising where it genuinely saves time.

A central field of application is content creation: AI-assisted texts for blog, glossary and lexicon, drafts, rewrites, research summaries. The AI delivers the first draft and the structural scaffold — the subject-matter judgement, the fact-checking and your own tone stay with you. Especially with scaling content, clear templates are worth their weight in gold.

The frame is set by the token budget. Every request costs input and output tokens, and at high volume that adds up quickly. Working cost-consciously means: keeping prompts lean, choosing the right-sized model (not always the most expensive one), passing context deliberately and using caching wherever possible. That keeps the effort affordable even in continuous operation.

What you’ll find on this page

Below you’ll find the topic world around working with AI: current news on new tools and methods, blog articles with hands-on setups, lexicon articles for deeper dives and a glossary of the most important terms. Use the topic filters above to jump straight to workflows, productivity, content creation or token budget.