Frequently asked questions
Clear, straight answers to the questions we hear most: what we do, and how we can help your business do better online.

What does AI literacy mean under the European regulation?
It is a requirement that the people who work with artificial intelligence understand how it works, what its limitations are and what risks it brings. In practice it is demonstrated by employee training and records of its completion.
Co se stane, když se agent splete?
Počítáme s tím od začátku, protože agent většinou nespadne – vrátí věrohodně vypadající nesmysl. Proto má každý krok kontrolu proti tvrdým datům: ověření v katalogu, kontrolní výpočet, porovnání s databází. Co kontrolou neprojde, jde člověku i s důvodem, proč se to zastavilo. Každé volání nástroje se loguje včetně vstupů a…
Will training a model stop the AI from making things up?
Additional training alone won't; hallucinations are inherent to language models. Reliability is handled differently: by connecting the model to your documents and databases (RAG) so it answers from verified sources, and by thorough testing on real examples. Fine-tuning adds the right terminology and form of answers on top. We combine…
Je lokální model horší než ChatGPT nebo Claude?
U nejnáročnějších úloh ano a nemá smysl to zakrývat. Rozdíl je ale mnohem menší, než bývalo zvykem, a u běžné firemní práce – vytěžování dokumentů, shrnování, odpovídání nad vlastními daty, klasifikace – je dnes dobře nasazený lokální model plně použitelný. Rozhodující není žebříček, ale to, jestli zvládne vaši konkrétní úlohu.…
Can you run an AI model locally at our premises so that data does not leave the company?
Yes. We deploy open-source models on your server or in a private cloud in the EU, so neither queries nor documents go out to public services. Deployment includes setting up access, logging and backups. We choose the solution according to the hardware you have and how fast you need answers…
Who owns the trained model and the data we work with?
The model and all the data it is built on remain yours. We share nothing with third parties and never use it to train other projects – we work purely as a supplier on your infrastructure or in an environment we agree on in advance.
What are GEO (Generative Engine Optimization) and LLMO (LLM Optimization) and how do they differ from classic SEO?
GEO and LLMO are new digital marketing disciplines focused on optimising websites, content and digital presence so that large language models (LLMs) such as ChatGPT, Claude or Gemini find them easily, interpret them correctly and are highly likely to cite them in their answers. Whereas classic SEO concentrates on optimising…
Do links also influence who ChatGPT mentions?
Indirectly, yes. Models draw on sources that can be traced on the web and are rated as trustworthy. When you are written about on sites that carry weight, the chance grows that AI will cite you as an example of a supplier or a source of information. A mention without…
Why invest in your own model when ChatGPT exists?
ChatGPT is an excellent general assistant, but many business tasks are of a different kind: you won't solve defect detection on a production line, demand forecasting or document extraction with it. And even for language tasks, a custom or fine-tuned model has advantages – it keeps to your terminology and…
Can we write the texts ourselves, or use AI?
You can. A common option is for you or AI to prepare the first version and for us to adapt it to the requirements of the media outlet. Purely generated text, however, is often rejected by editors or is published with no effect, because it contains nothing specific. What works…
What are E-E-A-T signals and why are they important for GEO?
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is a framework used by Google (and reflected by LLMs) to assess the quality of web content. While Google uses it primarily for quality rating, for LLMs these signals are key to assessing the trustworthiness of a source and the likelihood of citing it. LLMs…
What happens if one of the systems does not respond?
The bridge repeats the transfer and, if the error recurs, sends an alert. No data is lost anywhere and once operation is restored it is delivered where it belongs.
