[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"post-what-happens-in-a-first-software-consultation":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},"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.","How we work","MightCore","6 min",null,"\u003Cp>\u003Cstrong>A first consultation is not a sales call. It is an hour spent understanding your problem well enough to say whether and how we can help — and sometimes that you do not need to build anything at all.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>We understand the worry. For a lot of people the word \"consultation\" is a euphemism for an hour of being sold to. It is not that here, for a simple reason: selling you the wrong project pays off for nobody.\u003C\u002Fp>\n\n\u003Ch2>What we ask\u003C\u002Fh2>\n\u003Cp>Most of the time we ask \"why\". Not what system you want, but why you want it. What is not working today. Where time or money is leaking. What you have already tried and why it did not work.\u003C\u002Fp>\n\u003Cp>We also want to know what happens when it fails. Who catches it, how quickly, what it costs. Those answers often reveal where the real priority is — and where there is only a sense that \"it ought to be digitised\".\u003C\u002Fp>\n\u003Cp>Why we put the weight on context rather than a ready-made solution is covered in \u003Ca href=\"\u002Fblog\u002Fwhy-context-comes-before-code\">why context comes before code\u003C\u002Fa>.\u003C\u002Fp>\n\n\u003Ch2>How to prepare\u003C\u002Fh2>\n\u003Cp>There is nothing to prepare, and above all no need to arrive with a solution. The worst consultations are the ones where a client shows up with a finished brief — \"I want an app that does X\" — and resists any question about why X.\u003C\u002Fp>\n\u003Cp>It helps to think through one thing beforehand: if you had a magic wand, what exactly should improve in the business tomorrow? Not by which technology — what result. That is enough to start.\u003C\u002Fp>\n\n\u003Ch2>What you leave with\u003C\u002Fh2>\n\u003Cp>Ideally three things: a clearer statement of the problem, a rough sense of what a solution would involve, and an honest opinion on whether it is worth doing now.\u003C\u002Fp>\n\u003Cp>Sometimes you leave with \"do not do this\". If your problem can be solved by configuring a tool you already own, we will say so. Losing one job is cheaper than a client who discovers a year later that somebody sold them something pointless.\u003C\u002Fp>\n\n\u003Ch2>What comes next\u003C\u002Fh2>\n\u003Cp>When it makes sense to both sides, we prepare a proposal with scope and price. This is also where the engagement model is decided — on when a fixed price beats hourly, see \u003Ca href=\"\u002Fblog\u002Ffixed-price-or-hourly-which-is-better-for-the-client\">fixed price or hourly\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>If you want to see how the process continues, look at \u003Ca href=\"\u002Fhow-it-works\">how it works\u003C\u002Fa>, or simply \u003Ca href=\"\u002Fcontact\">book a consultation\u003C\u002Fa>. It is free of commitment — not as a slogan, but as the condition that makes it worth having.\u003C\u002Fp>","What happens in a first consultation with MightCore","What a free first consultation involves, what we ask, how to prepare, and what you leave with — even if we end up not working together.","2026-03-11T00:00:00.000Z",[16,23,29,35,39,45,52,58,64,69,73,78,84,89,93,98,103,109,113,114,119,124,130,136,141,146,151,156,161,166,171,176,181,186,191,196,201,206,211,215,220,225],{"slug":17,"title":18,"excerpt":19,"category":20,"author":8,"readingTime":21,"coverImage":10,"date":22},"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","7 min","2026-07-08T00:00:00.000Z",{"slug":24,"title":25,"excerpt":26,"category":27,"author":8,"readingTime":21,"coverImage":10,"date":28},"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":30,"title":31,"excerpt":32,"category":27,"author":8,"readingTime":33,"coverImage":10,"date":34},"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":36,"title":37,"excerpt":38,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":34},"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.",{"slug":40,"title":41,"excerpt":42,"category":43,"author":8,"readingTime":21,"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":9,"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":9,"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":21,"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":33,"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":9,"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":9,"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":9,"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":4,"title":5,"excerpt":6,"category":7,"author":8,"readingTime":9,"coverImage":10,"date":14},{"slug":115,"title":116,"excerpt":117,"category":20,"author":8,"readingTime":33,"coverImage":10,"date":118},"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":120,"title":121,"excerpt":122,"category":107,"author":8,"readingTime":50,"coverImage":10,"date":123},"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":125,"title":126,"excerpt":127,"category":128,"author":8,"readingTime":62,"coverImage":10,"date":129},"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":131,"title":132,"excerpt":133,"category":134,"author":8,"readingTime":50,"coverImage":10,"date":135},"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":137,"title":138,"excerpt":139,"category":7,"author":8,"readingTime":21,"coverImage":10,"date":140},"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":142,"title":143,"excerpt":144,"category":128,"author":8,"readingTime":21,"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":9,"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":9,"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":9,"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":21,"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":9,"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":9,"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":9,"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":134,"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":9,"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":9,"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":134,"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":21,"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":9,"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"]