Practical guides for those who want to bring AI into their company. Written in plain language, without unnecessary jargon, to help you understand where to start and what is realistic to expect.
Which processes are worth automating first, what you actually need (data, people, budget) and how to tell whether an idea is a good candidate. For those who want to start without wasting the first six months.
What an AI model's API is, how to get a key and how to connect it to spreadsheets, business software or a small internal script. Explained without assuming anything.
Concrete examples: summarising documents, answering recurring emails, extracting data from PDFs, supporting customer care. Where it works well today and where it's better to wait.
Identifying repetitive tasks worth automating, choosing the right tool and getting your first automation into real use without a six-month IT project.
Where your data ends up when you use an AI model, the differences between cloud and on-premise, and what you need to stay GDPR-compliant.
Practical use cases of ChatGPT in business — customer support, digital marketing, document management — with keyword research and usage best practices.
How to write effective instructions to get accurate responses from AI models. The 5 elements of a prompt, advanced techniques (Chain of Thought, Few-Shot) and a reusable structure.
What an LLM is and how the Transformer architecture works. Applications, advantages, limitations, differences between open source and proprietary models, and how to start using them in business.