[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"post-why-context-comes-before-code":3,"$fXeC77ibo_YuG-ZnFG3hwyaNC83zFAKw-FvBNoL2JrIM":15},{"slug":4,"title":5,"excerpt":6,"category":7,"author":8,"readingTime":9,"coverImage":10,"bodyHtml":11,"metaTitle":12,"metaDescription":13,"date":14},"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.","How we work","MightCore","7 min",null,"\u003Cp>\u003Cstrong>Software rarely fails on the code. It fails because the wrong thing got built — flawlessly, just not the thing the business needed.\u003C\u002Fstrong> That is why a project here does not start with writing code. It starts with understanding the context.\u003C\u002Fp>\n\u003Cp>It sounds like a platitude until you see how much money it wastes. A team ships exactly what the brief asked for. The brief was wrong. Nobody is at fault and everybody lost months.\u003C\u002Fp>\n\n\u003Ch2>Why the wrong thing gets built\u003C\u002Fh2>\n\u003Cp>A client knows what hurts. They do not always know what is causing it — and they almost never know how to phrase it in the language of software. That is fine. It is not their job.\u003C\u002Fp>\n\u003Cp>The trouble starts when a vendor takes it literally. \"We want a button that sends a report.\" We build the button. A month later it turns out nobody reads the report, because the real problem was that the numbers do not match between two systems. The button was built correctly and was completely pointless.\u003C\u002Fp>\n\u003Cp>Context is exactly what the brief does not say, because to the client it is obvious: how the process actually runs, who uses it, what happens when it breaks, why they do it this way today.\u003C\u002Fp>\n\n\u003Ch2>What gathering context looks like in practice\u003C\u002Fh2>\n\u003Cp>It is not a workshop full of sticky notes. It is a series of questions that ask \"why\", not \"what\". Why does it take three days? Why do two people approve it? What broke last time and how did you handle it?\u003C\u002Fp>\n\u003Cp>The answers often surface something that changes the brief entirely. Suddenly it is clear that no new system is needed — connecting two existing ones is enough. Or the opposite: the thing that sounded like a detail turns out to be the whole problem.\u003C\u002Fp>\n\u003Cp>For more on how that gathering runs and what comes out of it, see \u003Ca href=\"\u002Fblog\u002Fwhat-happens-in-a-first-software-consultation\">what happens in a first consultation\u003C\u002Fa>.\u003C\u002Fp>\n\n\u003Ch2>Why this is cheaper, not more expensive\u003C\u002Fh2>\n\u003Cp>The first reaction is that \"talking\" before development is a delay. The opposite is true, and you can do the arithmetic.\u003C\u002Fp>\n\u003Cp>Changing the brief on paper costs an hour. Changing a finished system costs weeks — you rewrite the code, the tests, the documentation and often the data too. The later a misunderstanding is found, the more it costs to fix. A day spent understanding the context saves a month of rework.\u003C\u002Fp>\n\u003Cp>The same holds for AI projects, where the temptation to \"try it and see\" is strongest. On when not to deploy AI at all, see \u003Ca href=\"\u002Fblog\u002Fwhere-not-to-use-ai-and-why-nobody-tells-you\">where not to use AI\u003C\u002Fa>.\u003C\u002Fp>\n\n\u003Ch2>The takeaway\u003C\u002Fh2>\n\u003Cp>When you pick a vendor, watch whether they ask first or propose a solution immediately. Anyone who knows exactly what to build at the first meeting either got lucky or was not listening. We call the approach Context Driven Development, and it is the basis of \u003Ca href=\"\u002Fhow-it-works\">how we work\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>If you have a project where you are not sure whether you are addressing the cause or the symptom, \u003Ca href=\"\u002Fcontact\">get in touch\u003C\u002Fa> — the first consultation is free, and people often leave it with a different view of the problem.\u003C\u002Fp>","Why context comes before code — the MightCore approach","Why good software starts with understanding the business rather than writing code, and how Context Driven Development saves time and money.","2026-02-04T00:00:00.000Z",[16,22,28,34,39,45,52,58,64,69,73,78,84,89,93,98,103,109,113,118,123,128,134,140,141,146,151,156,161,166,171,176,181,186,191,196,201,206,211,215,220,225],{"slug":17,"title":18,"excerpt":19,"category":20,"author":8,"readingTime":9,"coverImage":10,"date":21},"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.","Guides","2026-07-08T00:00:00.000Z",{"slug":23,"title":24,"excerpt":25,"category":26,"author":8,"readingTime":9,"coverImage":10,"date":27},"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":29,"title":30,"excerpt":31,"category":26,"author":8,"readingTime":32,"coverImage":10,"date":33},"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","2026-06-17T00:00:00.000Z",{"slug":35,"title":36,"excerpt":37,"category":7,"author":8,"readingTime":38,"coverImage":10,"date":33},"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.","6 min",{"slug":40,"title":41,"excerpt":42,"category":43,"author":8,"readingTime":9,"coverImage":10,"date":44},"ai-modelka-pre-vas-brand-sprievodca","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":46,"title":47,"excerpt":48,"category":49,"author":8,"readingTime":50,"coverImage":10,"date":51},"pripadova-studia-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":53,"title":54,"excerpt":55,"category":56,"author":8,"readingTime":38,"coverImage":10,"date":57},"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":59,"title":60,"excerpt":61,"category":7,"author":8,"readingTime":62,"coverImage":10,"date":63},"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","2026-05-20T00:00:00.000Z",{"slug":65,"title":66,"excerpt":67,"category":43,"author":8,"readingTime":50,"coverImage":10,"date":68},"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":70,"title":71,"excerpt":72,"category":49,"author":8,"readingTime":50,"coverImage":10,"date":68},"pripadova-studia-produktove-fotky","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":74,"title":75,"excerpt":76,"category":56,"author":8,"readingTime":62,"coverImage":10,"date":77},"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":79,"title":80,"excerpt":81,"category":82,"author":8,"readingTime":38,"coverImage":10,"date":83},"rest-vs-graphql-pre-eshopy","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":85,"title":86,"excerpt":87,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":88},"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":90,"title":91,"excerpt":92,"category":56,"author":8,"readingTime":32,"coverImage":10,"date":88},"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":94,"title":95,"excerpt":96,"category":49,"author":8,"readingTime":38,"coverImage":10,"date":97},"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":99,"title":100,"excerpt":101,"category":20,"author":8,"readingTime":62,"coverImage":10,"date":102},"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":104,"title":105,"excerpt":106,"category":107,"author":8,"readingTime":38,"coverImage":10,"date":108},"uctovnictvo-novej-generacie","Next-generation accounting: a platform built on context","A vision of an intelligent layer on top of existing accounting tools.","Accounting","2026-03-17T00:00:00.000Z",{"slug":110,"title":111,"excerpt":112,"category":20,"author":8,"readingTime":38,"coverImage":10,"date":108},"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":114,"title":115,"excerpt":116,"category":7,"author":8,"readingTime":38,"coverImage":10,"date":117},"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":119,"title":120,"excerpt":121,"category":20,"author":8,"readingTime":32,"coverImage":10,"date":122},"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":124,"title":125,"excerpt":126,"category":107,"author":8,"readingTime":50,"coverImage":10,"date":127},"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":129,"title":130,"excerpt":131,"category":132,"author":8,"readingTime":62,"coverImage":10,"date":133},"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":135,"title":136,"excerpt":137,"category":138,"author":8,"readingTime":50,"coverImage":10,"date":139},"ako-ai-setri-naklady-na-video","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":4,"title":5,"excerpt":6,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":14},{"slug":142,"title":143,"excerpt":144,"category":132,"author":8,"readingTime":9,"coverImage":10,"date":145},"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":147,"title":148,"excerpt":149,"category":82,"author":8,"readingTime":38,"coverImage":10,"date":150},"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":152,"title":153,"excerpt":154,"category":82,"author":8,"readingTime":38,"coverImage":10,"date":155},"trendy-v-ai-vyvoji-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":157,"title":158,"excerpt":159,"category":49,"author":8,"readingTime":50,"coverImage":10,"date":160},"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":162,"title":163,"excerpt":164,"category":82,"author":8,"readingTime":38,"coverImage":10,"date":165},"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":167,"title":168,"excerpt":169,"category":20,"author":8,"readingTime":9,"coverImage":10,"date":170},"gdpr-a-ai-obsah","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":172,"title":173,"excerpt":174,"category":43,"author":8,"readingTime":38,"coverImage":10,"date":175},"virtualne-ai-modelky","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":177,"title":178,"excerpt":179,"category":43,"author":8,"readingTime":50,"coverImage":10,"date":180},"ai-ugc-in-performance-marketing","AI UGC in performance marketing: what works and what applies","How to use AI content in Meta and TikTok campaigns, why creative testing matters, and what AI-labelling rules apply.","2025-10-14T00:00:00.000Z",{"slug":182,"title":183,"excerpt":184,"category":82,"author":8,"readingTime":38,"coverImage":10,"date":185},"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":187,"title":188,"excerpt":189,"category":43,"author":8,"readingTime":50,"coverImage":10,"date":190},"co-je-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":192,"title":193,"excerpt":194,"category":49,"author":8,"readingTime":38,"coverImage":10,"date":195},"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":197,"title":198,"excerpt":199,"category":138,"author":8,"readingTime":50,"coverImage":10,"date":200},"ai-v-marketingu-od-experimentu-k-vysledkom","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":202,"title":203,"excerpt":204,"category":107,"author":8,"readingTime":50,"coverImage":10,"date":205},"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":207,"title":208,"excerpt":209,"category":82,"author":8,"readingTime":38,"coverImage":10,"date":210},"shopsys-vs-vlastne-riesenie","ShopSys vs. a custom build: when a framework pays off","A decision framework for e-shop owners facing the choice of platform.","2025-06-18T00:00:00.000Z",{"slug":212,"title":213,"excerpt":214,"category":20,"author":8,"readingTime":38,"coverImage":10,"date":210},"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.",{"slug":216,"title":217,"excerpt":218,"category":138,"author":8,"readingTime":50,"coverImage":10,"date":219},"ako-ai-meni-ecommerce-na-slovensku","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":221,"title":222,"excerpt":223,"category":82,"author":8,"readingTime":9,"coverImage":10,"date":224},"context-driven-development-novy-pristup","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":226,"title":227,"excerpt":228,"category":82,"author":8,"readingTime":38,"coverImage":10,"date":229},"koniec-ery-predrazeneho-vyvoja","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"]