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Perspectives on AI development, marketing, AI UGC, AI support and a context-driven approach.
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SEO in the age of AI search: data, llms.txt and answer-first
Classic SEO did not vanish, it expanded. How structured data, llms.txt and answer-first content decide visibility in search engines and in AI.
Read articleHow to talk to a model: prompting without incantations
Prompt engineering is not a list of magic phrases. It is the ability to say exactly what you want — which is harder than it sounds.
Read articleHow to get into ChatGPT and Perplexity answers (AEO/GEO)
AI assistants increasingly replace classic search. How to prepare content so ChatGPT, Perplexity and Google AI Overviews cite you.
Read articleChoosing a language model and keeping costs under control
Benchmarks tell you almost nothing useful. What actually decides a model choice, and where the costs nobody predicted come from.
Read articleWhy we charge for value, not hours
Billing by the hour rewards slowness and punishes experience. Here is why we look at what a solution brings the business, not what it cost us.
Read articleProgramming in the age of AI: what actually changed
No, it did not replace developers. But it changed where they spend their time — and not all of those changes are comfortable.
Read articleAn AI model for your brand: the complete guide
From brief through avatar creation to the first campaign — step by step.
Read articleCase study: Cleago — a platform built on context
How we designed and built a solution for Cleago (www.cleago.sk) by first understanding the context and only then coding.
Read articleWhere not to use AI (and why nobody tells you)
A company selling AI has little incentive to talk about its limits. Let us fix that — these are the places AI simply does not belong.
Read articleApplication review and audit: an independent look at your software
What works, what is a risk and what will be expensive. What an independent application audit looks like and what you actually get from it.
Read articleHow to spot a good software vendor (and the red flags)
You spot a good vendor by what they do before the contract is signed, not by their portfolio. Here are the signs of trust and the warning signs.
Read articleHosting AI applications: running models, APIs and data safely
Model, API and data in one secure place. What reliable hosting of AI applications involves and how not to get a shocking model-call bill.
Read articleLet's find out what makes sense for you.
A free consultation where we understand your context and propose the next step. No needless hours and no overpriced packages.