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Perspectives on AI development, orchestration and automation, 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 articleAI agents: when they pay off and when they do not
An agent is not a guarantee of progress, just a system with more autonomy. When it fits, and how to deploy it without needless risk.
Read articleWebsite and software audit: an independent read while fixing is cheap
A slow site, holes and technical debt cost you money quietly — and in the age of AI search, visibility too. An audit names them, backs it with numbers and ranks by impact.
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 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 articleAI orchestrators: building a reliable flow from models and tools
One prompt is fine for a demo, not for production. What an orchestrator does and when your company actually needs one.
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 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 articleAn AI model for your brand: the complete guide
From brief through avatar creation to the first campaign — step by step.
Read articleAI integrations for business: where AI truly saves, and where it is pointless
AI is not a magic dust. We show where it genuinely helps in business processes and how to deploy it without risk.
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 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.