[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"post-cloud-or-your-own-server-for-ai":3,"$fXeC77ibo_YuG-ZnFG3hwyaNC83zFAKw-FvBNoL2JrIM":19},{"slug":4,"title":5,"excerpt":6,"category":7,"author":8,"readingTime":9,"coverImage":10,"bodyHtml":11,"metaTitle":12,"metaDescription":13,"date":14,"modified":15,"translations":16},"cloud-or-your-own-server-for-ai","Cloud or your own server for AI: when each one pays off","Your own hardware looks cheaper until you count the work around it. What actually decides the question — and why it is not the price of the metal.","Guides","MightCore","6 min",null,"\u003Cp>\u003Cstrong>Your own server pays off when the load is steady, long-lived and somebody is there to look after it; everything else belongs in the cloud.\u003C\u002Fstrong> The shape of the load and the availability of people decide it, not the price of hardware.\u003C\u002Fp>\n\u003Cp>The comparison is usually done badly. Someone puts the price of servers against a monthly cloud bill, works out that the hardware pays for itself within a year, and stops there.\u003C\u002Fp>\n\u003Cp>But the server is only the start.\u003C\u002Fp>\n\n\u003Ch2>What the comparison leaves out\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>\u003Cstrong>The work around it.\u003C\u002Fstrong> Updates, monitoring, backups, replacing the disk that died on a Sunday. Those are hours from a person you have to have.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Redundancy.\u003C\u002Fstrong> One server is one point of failure. Two are twice the price, and you still need something to fail over between them.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Capacity you do not use.\u003C\u002Fstrong> You buy hardware for the peak and pay for it at night too, when nothing is happening.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Speed of change.\u003C\u002Fstrong> Needing more capacity in the cloud is a click. With your own metal it is an order.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\u003Ch2>When the cloud is the clear answer\u003C\u002Fh2>\n\u003Cp>When you do not know what the load will be — which is almost always, at the start. When traffic comes in bursts: a campaign, a season, month-end. When you have nobody whose job is looking after infrastructure, and no wish to go hiring one.\u003C\u002Fp>\n\u003Cp>And where language-model calls go through an API, the question of owning hardware rarely comes up at all. You pay per call, not per server — and what drives that price is covered in the piece on \u003Ca href=\"\u002Fblog\u002Fwhat-running-an-ai-application-costs\">what running an AI application costs\u003C\u002Fa>.\u003C\u002Fp>\n\n\u003Ch2>When your own server starts to make sense\u003C\u002Fh2>\n\u003Cp>In three situations:\u003C\u002Fp>\n\u003Col>\n\u003Cli>\u003Cstrong>Steady, high, long-lived load.\u003C\u002Fstrong> When something runs the same way for years, renting stops paying.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Your own model running continuously.\u003C\u002Fstrong> This is where the gap between renting compute and owning it is felt most.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>A requirement about where data physically sits\u003C\u002Fstrong> that the cloud cannot meet. That tends to be contractual or regulatory rather than technical — and it connects to \u003Ca href=\"\u002Fblog\u002Fwhere-your-data-goes-with-ai-hosting\">where your data goes in an AI application\u003C\u002Fa>.\u003C\u002Fli>\n\u003C\u002Fol>\n\n\u003Ch2>The answer is usually \"both\"\u003C\u002Fh2>\n\u003Cp>In practice this is not a choice between two things. A common split has the application, database and queues on rented servers at a predictable price, with model calls going out through an API, because keeping a model of your own does not pay when traffic comes in bursts.\u003C\u002Fp>\n\u003Cp>What matters more than the choice is being able to change it. When the application is in containers and configuration is kept out of the code, moving is a deployment rather than a rewrite. That is exactly why \u003Ca href=\"\u002Ftechnologies\">we build on Docker and Kubernetes\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>If you are unsure which fits your case, \u003Ca href=\"\u002Fcontact\">get in touch\u003C\u002Fa> — we will walk through it on your numbers.\u003C\u002Fp>","Cloud or your own server for AI applications","When cloud pays off for an AI application and when your own server does: how even the load is, hardware cost versus the work around it, and the tipping point.","2026-09-22T00:00:00.000Z","2026-09-27T08:51:34.630Z",{"sk":17,"cs":18},"cloud-alebo-vlastny-server-pre-ai","cloud-nebo-vlastni-server-pro-ai",[20,21,27,32,37,42,46,52,58,62,67,73,78,84,89,96,102,107,112,117,122,126,130,135,140,144,150,155,159,164,169,174,179,183,188,193,198,203,209,215,220,225,230,235,240,245,250,255,260,265,270,275,280,285,290,294,299,304],{"slug":4,"title":5,"excerpt":6,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":14},{"slug":22,"title":23,"excerpt":24,"category":7,"author":8,"readingTime":25,"coverImage":10,"date":26},"where-your-data-goes-with-ai-hosting","Where your data goes once you send it to an AI model","The important question about an AI application is not which model you use, but which data leaves your system. And what happens to it there.","7 min","2026-09-15T00:00:00.000Z",{"slug":28,"title":29,"excerpt":30,"category":7,"author":8,"readingTime":25,"coverImage":10,"date":31},"what-running-an-ai-application-costs","What running an AI application costs, and why nobody knows up front","An AI bill grows with how much you ask the model, not with how many people use it. What the cost is made of and how to keep it in hand.","2026-09-08T00:00:00.000Z",{"slug":33,"title":34,"excerpt":35,"category":7,"author":8,"readingTime":25,"coverImage":10,"date":36},"seo-in-the-age-of-ai-search","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.","2026-07-18T00:00:00.000Z",{"slug":38,"title":39,"excerpt":40,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":41},"ai-agents-when-they-pay-off-and-when-not","AI 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.","2026-07-08T00:00:00.000Z",{"slug":43,"title":44,"excerpt":45,"category":7,"author":8,"readingTime":25,"coverImage":10,"date":41},"how-to-talk-to-a-language-model-prompting-in-practice","How 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.",{"slug":47,"title":48,"excerpt":49,"category":50,"author":8,"readingTime":9,"coverImage":10,"date":51},"website-and-software-audit","Website 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.","Services","2026-07-01T00:00:00.000Z",{"slug":53,"title":54,"excerpt":55,"category":56,"author":8,"readingTime":25,"coverImage":10,"date":57},"how-to-choose-a-language-model-and-control-costs","Choosing 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.","Engineering","2026-06-30T00:00:00.000Z",{"slug":59,"title":60,"excerpt":61,"category":7,"author":8,"readingTime":25,"coverImage":10,"date":57},"how-to-get-into-chatgpt-and-perplexity-answers","How to get into ChatGPT and Perplexity answers (AEO\u002FGEO)","AI assistants increasingly replace classic search. How to prepare content so ChatGPT, Perplexity and Google AI Overviews cite you.",{"slug":63,"title":64,"excerpt":65,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":66},"ai-orchestrators-building-a-reliable-flow","AI 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.","2026-06-24T00:00:00.000Z",{"slug":68,"title":69,"excerpt":70,"category":71,"author":8,"readingTime":9,"coverImage":10,"date":72},"why-we-charge-for-value-not-hours","Why 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.","How we work","2026-06-17T00:00:00.000Z",{"slug":74,"title":75,"excerpt":76,"category":56,"author":8,"readingTime":77,"coverImage":10,"date":72},"programming-in-the-age-of-ai-what-actually-changed","Programming 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.","9 min",{"slug":79,"title":80,"excerpt":81,"category":82,"author":8,"readingTime":25,"coverImage":10,"date":83},"ai-model-for-your-brand-complete-guide","An AI model for your brand: the complete guide","From brief through avatar creation to the first campaign — step by step.","AI UGC","2026-06-16T00:00:00.000Z",{"slug":85,"title":86,"excerpt":87,"category":50,"author":8,"readingTime":9,"coverImage":10,"date":88},"ai-integrations-for-business","AI 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.","2026-06-03T00:00:00.000Z",{"slug":90,"title":91,"excerpt":92,"category":93,"author":8,"readingTime":94,"coverImage":10,"date":95},"case-study-cleago","Case 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.","Case studies","5 min","2026-06-02T00:00:00.000Z",{"slug":97,"title":98,"excerpt":99,"category":100,"author":8,"readingTime":9,"coverImage":10,"date":101},"where-not-to-use-ai-and-why-nobody-tells-you","Where 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.","For business","2026-05-27T00:00:00.000Z",{"slug":103,"title":104,"excerpt":105,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":106},"application-review-and-audit","Application 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.","2026-05-26T00:00:00.000Z",{"slug":108,"title":109,"excerpt":110,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":111},"how-to-choose-an-llm-for-your-company","How to choose a language model (LLM) for your company","Asking which model is best is the wrong question. What to actually decide on — quality, cost, latency, privacy.","2026-05-20T00:00:00.000Z",{"slug":113,"title":114,"excerpt":115,"category":71,"author":8,"readingTime":116,"coverImage":10,"date":111},"how-to-spot-a-good-software-vendor-and-the-red-flags","How 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.","8 min",{"slug":118,"title":119,"excerpt":120,"category":82,"author":8,"readingTime":94,"coverImage":10,"date":121},"ai-model-consistent-brand-across-campaigns","A consistent brand with an AI model across campaigns","An AI model can be a brand's steady face — if you handle consistency and transparency the right way. Here is how.","2026-05-19T00:00:00.000Z",{"slug":123,"title":124,"excerpt":125,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":121},"hosting-ai-applications","Hosting 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.",{"slug":127,"title":128,"excerpt":129,"category":93,"author":8,"readingTime":94,"coverImage":10,"date":121},"case-study-product-photos","Case study: 80% less time spent creating product photos","A real example of deploying AI photos in an online store — from brief to results.",{"slug":131,"title":132,"excerpt":133,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":134},"ai-mentoring-for-companies","AI mentoring for companies: teaching a team to actually use AI","Buying an AI tool does not change a team. What practical AI mentoring looks like, where AI helps and where it is just needless complication.","2026-05-12T00:00:00.000Z",{"slug":136,"title":137,"excerpt":138,"category":100,"author":8,"readingTime":116,"coverImage":10,"date":139},"where-ai-actually-fits-in-a-company","Where AI actually fits in a company (and where it is just flashy)","Concrete applications across departments — what works today, what needs preparation, and what is still a demo rather than a tool.","2026-05-06T00:00:00.000Z",{"slug":141,"title":142,"excerpt":143,"category":50,"author":8,"readingTime":9,"coverImage":10,"date":139},"internal-tools-automation","Internal tools and automation: stop paying for manual work","How many hours a month do you retype data between systems? An internal tool does it for you — and pays for itself.",{"slug":145,"title":146,"excerpt":147,"category":148,"author":8,"readingTime":9,"coverImage":10,"date":149},"rest-vs-graphql-for-online-stores","REST vs. GraphQL API for modern online stores","When to choose which approach and what the impact on performance and development is.","Development","2026-04-21T00:00:00.000Z",{"slug":151,"title":152,"excerpt":153,"category":71,"author":8,"readingTime":25,"coverImage":10,"date":154},"fixed-price-or-hourly-which-is-better-for-the-client","Fixed price or hourly: which is better for the client","A fixed price moves the risk to the vendor, hourly moves it to the client. Here is when each fits — and why neither is always the right one.","2026-04-15T00:00:00.000Z",{"slug":156,"title":157,"excerpt":158,"category":100,"author":8,"readingTime":77,"coverImage":10,"date":154},"how-to-bring-ai-into-your-company-first-steps","How to bring AI into your company without wasting the money","Most AI projects do not fail on technology. They fail because nobody said what was supposed to get better. Where to start instead.",{"slug":160,"title":161,"excerpt":162,"category":93,"author":8,"readingTime":9,"coverImage":10,"date":163},"case-study-monolith-to-modular-migration","Case study: from a monolith to a modular architecture with no downtime","An illustrative example of gradually modernising an older application — where every change was risky and maintenance expensive.","2026-04-14T00:00:00.000Z",{"slug":165,"title":166,"excerpt":167,"category":50,"author":8,"readingTime":9,"coverImage":10,"date":168},"custom-e-commerce","Custom e-commerce: when the template starts throttling your sales","A rented template gets you going, then holds you back. When a custom e-shop pays off and how it lifts conversion.","2026-04-08T00:00:00.000Z",{"slug":170,"title":171,"excerpt":172,"category":7,"author":8,"readingTime":116,"coverImage":10,"date":173},"ai-agents-and-tool-calling-when-it-makes-sense","AI agents and tool calling: when it makes sense and when it does not","An agent is a model allowed to act. That is interesting and dangerous in equal measure. How it works, and where to be careful.","2026-03-25T00:00:00.000Z",{"slug":175,"title":176,"excerpt":177,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":178},"when-an-application-audit-pays-off","When it pays to have your application reviewed — and what an audit actually gives you","You have software that runs, but you are not sure of its state? When an independent audit makes sense and what its output looks like.","2026-03-17T00:00:00.000Z",{"slug":180,"title":181,"excerpt":182,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":178},"context-driven-development-context-gathering-in-practice","Context Driven Development in practice: how gathering context changes the outcome","The most expensive mistakes come from a misunderstood brief. Here is what the context gathering that prevents them looks like.",{"slug":184,"title":185,"excerpt":186,"category":50,"author":8,"readingTime":9,"coverImage":10,"date":187},"custom-web-applications","Custom web apps: when off-the-shelf stops being enough","Boxed tools will limit you sooner or later. When a custom web app pays off — and how we ship one in weeks.","2026-03-12T00:00:00.000Z",{"slug":189,"title":190,"excerpt":191,"category":71,"author":8,"readingTime":9,"coverImage":10,"date":192},"what-happens-in-a-first-software-consultation","What happens in a first consultation, and what you take away","A first consultation is not a sales call. It is an hour spent understanding your problem — and you often leave with a clearer view, even if we never start.","2026-03-11T00:00:00.000Z",{"slug":194,"title":195,"excerpt":196,"category":7,"author":8,"readingTime":77,"coverImage":10,"date":197},"how-to-orchestrate-language-models-in-practice","Orchestrating language models: from one prompt to a system","One prompt is a demo. An application is something else. On splitting work, routing between models, and where to leave ordinary code alone.","2026-03-04T00:00:00.000Z",{"slug":199,"title":200,"excerpt":201,"category":7,"author":8,"readingTime":94,"coverImage":10,"date":202},"digitalising-accounting-e-invoicing","Digitalising accounting: e-invoicing and what it brings","Electronic invoicing and reporting are becoming the standard. What it means for businesses and how to prepare without panic.","2026-02-17T00:00:00.000Z",{"slug":204,"title":205,"excerpt":206,"category":207,"author":8,"readingTime":116,"coverImage":10,"date":208},"what-is-an-llm-large-language-model-explained","What an LLM is: large language models without the mystique","How does a program that predicts the next word end up writing working code? A look at what actually happens inside a language model.","Fundamentals","2026-02-11T00:00:00.000Z",{"slug":210,"title":211,"excerpt":212,"category":213,"author":8,"readingTime":94,"coverImage":10,"date":214},"how-ai-cuts-video-production-costs","How AI cuts the cost of video content production","Concrete numbers and a workflow for creating AI videos for online stores.","Marketing","2026-02-10T00:00:00.000Z",{"slug":216,"title":217,"excerpt":218,"category":71,"author":8,"readingTime":25,"coverImage":10,"date":219},"why-context-comes-before-code","Why context comes before code","Most software does not fail on the code; it fails because the wrong thing got built. Here is why everything we do starts with understanding the context.","2026-02-04T00:00:00.000Z",{"slug":221,"title":222,"excerpt":223,"category":207,"author":8,"readingTime":25,"coverImage":10,"date":224},"what-is-artificial-intelligence-explained-without-the-marketing","What artificial intelligence is (and what it is not)","The word AI now means everything, and therefore nothing. Here is what is actually behind it, and where technology ends and marketing begins.","2026-01-21T00:00:00.000Z",{"slug":226,"title":227,"excerpt":228,"category":148,"author":8,"readingTime":9,"coverImage":10,"date":229},"vector-databases-and-embeddings","Vector databases and embeddings: how machines grasp meaning","Semantic search sits behind many AI features. Here is what embeddings are and why modern data work rests on them.","2026-01-20T00:00:00.000Z",{"slug":231,"title":232,"excerpt":233,"category":148,"author":8,"readingTime":9,"coverImage":10,"date":234},"ai-development-trends-2026","Trends in AI development for 2026","What awaits companies in the area of AI agents, automation and infrastructure.","2026-01-14T00:00:00.000Z",{"slug":236,"title":237,"excerpt":238,"category":93,"author":8,"readingTime":94,"coverImage":10,"date":239},"case-study-ai-product-photography-cosmetics","Case study: AI product photography for a cosmetics e-shop","An illustrative example of how AI content replaced repeated photoshoots and brought a consistent visual identity across seasons.","2025-12-09T00:00:00.000Z",{"slug":241,"title":242,"excerpt":243,"category":148,"author":8,"readingTime":9,"coverImage":10,"date":244},"integrating-ai-into-existing-systems","How to integrate AI into existing systems without a rewrite","You do not have to throw away working software to use AI. Here is an approach that adds value step by step, with low risk.","2025-11-18T00:00:00.000Z",{"slug":246,"title":247,"excerpt":248,"category":7,"author":8,"readingTime":25,"coverImage":10,"date":249},"gdpr-and-ai-content","GDPR and AI content: what to watch out for","The legal minimum for companies working with AI content and personal data.","2025-11-11T00:00:00.000Z",{"slug":251,"title":252,"excerpt":253,"category":82,"author":8,"readingTime":9,"coverImage":10,"date":254},"virtual-ai-models","Virtual AI models: the future of advertising or a passing trend?","The possibilities, limits and ethics of virtual influencers for brands.","2025-10-20T00:00:00.000Z",{"slug":256,"title":257,"excerpt":258,"category":82,"author":8,"readingTime":94,"coverImage":10,"date":259},"ai-ugc-in-performance-marketing","AI UGC: content creation at scale, fast and cheap","How to produce dozens of content variants with AI at a fraction of the time and cost. You run the marketing — we make the content you deploy.","2025-10-14T00:00:00.000Z",{"slug":261,"title":262,"excerpt":263,"category":148,"author":8,"readingTime":9,"coverImage":10,"date":264},"llm-hallucinations-how-to-limit-them","LLM hallucinations and how to limit them in practice","Why AI sometimes states nonsense with confidence, and the techniques we use to keep output trustworthy.","2025-09-16T00:00:00.000Z",{"slug":266,"title":267,"excerpt":268,"category":82,"author":8,"readingTime":94,"coverImage":10,"date":269},"what-is-ai-ugc","What AI UGC is and why the whole world is talking about it","An introduction to AI-generated UGC and its impact on advertising and customer trust.","2025-09-15T00:00:00.000Z",{"slug":271,"title":272,"excerpt":273,"category":93,"author":8,"readingTime":9,"coverImage":10,"date":274},"case-study-b2b-eshop-faster-delivery","Case study: a B2B e-shop ready in weeks, not months","An illustrative example of how context gathering and AI execution shortened a wholesale e-shop build — without cutting quality.","2025-08-19T00:00:00.000Z",{"slug":276,"title":277,"excerpt":278,"category":213,"author":8,"readingTime":94,"coverImage":10,"date":279},"ai-in-marketing-from-experiment-to-results","AI in marketing: from experiment to real results","How to move from \"playing with AI\" to a measurable return on investment.","2025-08-06T00:00:00.000Z",{"slug":281,"title":282,"excerpt":283,"category":7,"author":8,"readingTime":94,"coverImage":10,"date":284},"ai-invoice-processing-in-accounting","AI invoice processing: from scan to posting","Intelligent document processing cuts the routine of retyping invoices. How it works and where AI has its limits.","2025-07-15T00:00:00.000Z",{"slug":286,"title":287,"excerpt":288,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":289},"rag-why-context-decides-ai-quality","RAG: why context decides the quality of AI output","Retrieval-Augmented Generation connects a language model to your own data. Here is how it works and when to use it.","2025-06-18T00:00:00.000Z",{"slug":291,"title":292,"excerpt":293,"category":148,"author":8,"readingTime":9,"coverImage":10,"date":289},"shopsys-vs-custom-build","ShopSys vs. a custom build: when a framework pays off","A decision framework for e-shop owners facing the choice of platform.",{"slug":295,"title":296,"excerpt":297,"category":213,"author":8,"readingTime":94,"coverImage":10,"date":298},"how-ai-is-changing-e-commerce","How AI is changing e-commerce","Practical examples of AI in product content, search and personalisation for online stores.","2025-05-21T00:00:00.000Z",{"slug":300,"title":301,"excerpt":302,"category":148,"author":8,"readingTime":25,"coverImage":10,"date":303},"context-driven-development-a-new-approach","Context Driven Development: a new approach to building software","An explanation of the CDD methodology from gathering context to deployment — step by step.","2025-04-09T00:00:00.000Z",{"slug":305,"title":306,"excerpt":307,"category":148,"author":8,"readingTime":9,"coverImage":10,"date":308},"why-overpriced-software-development-is-over","Why the era of overpriced software development is over","How AI and a context-driven approach are changing the economics of building software — and why paying for inflated hours no longer makes sense.","2025-03-12T00:00:00.000Z"]