{"id":5466,"date":"2025-11-04T14:52:33","date_gmt":"2025-11-04T13:52:33","guid":{"rendered":"https:\/\/www.infinity-group.pl\/blog\/?p=5466"},"modified":"2026-03-03T15:25:37","modified_gmt":"2026-03-03T14:25:37","slug":"ai-in-practice-how-to-use-large-language-models-wisely-and-safely","status":"publish","type":"post","link":"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/","title":{"rendered":"AI in\u00a0Practice:\u00a0How to\u00a0Use\u00a0Large\u00a0Language\u00a0Models\u00a0Wisely and\u00a0Safely"},"content":{"rendered":"\n<p>At the moment\u00a0you\u00a0can\u2019t\u00a0go anywhere without hearing about new tools and breakthrough AI models\u2014people keep repeating like a broken record that artificial intelligence will soon change everything. But we, developers,\u00a0know very well that<strong>\u00a0there is a huge gap between a flashy demo and a solution that\u00a0actually works\u00a0in production.<\/strong>\u00a0<\/p><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Summary<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Prze\u0142\u0105cznik Spisu Tre\u015bci\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#the-generative-ai-divide\" >The\u00a0generative\u00a0AI\u00a0divide\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#the-learning-gap\" >The learning gap\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#ai-reports%e2%80%94how-to-read-them\" >AI reports\u2014how to read them\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#when-ai-fails-the-air-canada-example\" >When\u00a0AI\u00a0fails: the\u00a0Air\u00a0Canada\u00a0example\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#how-language-models-work-and-what-that-means-in-practice\" >How\u00a0language\u00a0models\u00a0work\u00a0and\u00a0what\u00a0that\u00a0means\u00a0in\u00a0practice\u00a0<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#the-breakthrough-transformers\" >The\u00a0breakthrough:\u00a0transformers\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#how-models-learn\" >How\u00a0models\u00a0learn\u00a0<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#a-revolution-in-application-development\" >A\u00a0revolution\u00a0in\u00a0application\u00a0development\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#safe-uses-of-ai-tools\" >Safe\u00a0uses\u00a0of AI\u00a0tools\u00a0<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#three-golden-rules-for-using-ai\" >Three\u00a0golden\u00a0rules\u00a0for\u00a0using\u00a0AI\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#ai-in-everyday-work%e2%80%94research-mode\" >AI in everyday work\u2014research mode\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#rag-retrieval-augmented-generation\" >RAG:\u00a0Retrieval-Augmented Generation\u00a0<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#summary%e2%80%94three-things-to-remember\" >Summary\u2014three\u00a0things\u00a0to\u00a0remember\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.infinity-group.dev\/blog\/2025\/11\/04\/ai-in-practice-how-to-use-large-language-models-wisely-and-safely\/#contact-us\" >Contact us<\/a><\/li><\/ul><\/nav><\/div>\n\n\n\n\n<p>The aim of this article is therefore not to tell stories about the\u00a0\u201cmagic of AI\u201d.\u00a0I want to take you behind the scenes and show the real life of these technologies: high-profile failures, the root causes of problems and\u2014most importantly\u2014<strong>practical advice on how to use AI wisely,\u00a0safely\u00a0and effectively.<\/strong>\u00a0<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The\u00a0generative\u00a0AI\u00a0divide<\/strong>\u00a0<\/h2>\n\n\n\n<p>Every\u00a0day\u00a0we live inside an information bubble. From all sides we hear about an AI revolution and assistants that will do half our work for us. Reality is, however, more brutal.\u00a0<\/p>\n\n\n\n<p><strong>MIT\u2019s report\u00a0<em>The GenAI Divide<\/em>\u00a0<\/strong><sup data-fn=\"5a9fdd67-9e58-4bea-af90-cc8cb8963332\" class=\"fn\"><a id=\"5a9fdd67-9e58-4bea-af90-cc8cb8963332-link\" href=\"#5a9fdd67-9e58-4bea-af90-cc8cb8963332\">1<\/a><\/sup><strong>shows that as many as 95% of corporate AI deployments fail.\u00a0<\/strong>\u201cFailure\u201d\u00a0means there is no measurable return on investment\u2014zero impact on financial results. Billions of dollars are poured down the drain and\u00a0<strong>only 5% of companies realise real benefits.<\/strong>\u00a0<\/p>\n\n\n\n<p>The report defines a\u00a0\u201cgenerative AI divide\u201d:\u00a0<strong>an elite 5% of firms successfully deploy AI,<\/strong>\u00a0earn\u00a0millions\u00a0and gain competitive advantage, while the remaining 95% are stuck.\u00a0<\/p>\n\n\n\n<p>What\u2019s\u00a0the paradox here? Over 80% of companies have trialled tools such as ChatGPT or Copilot, and many of us use them daily to draft emails or meeting summaries.\u00a0So,<strong>\u00a0if AI tools are so widespread, why do corporate deployments fail so often?<\/strong>\u00a0<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The learning gap<\/strong>\u00a0<\/h2>\n\n\n\n<p><strong>Most corporate AI systems are static<\/strong>\u2014they do not learn from user interactions, they do not remember context or working style. Everything\u00a0has to\u00a0be explained from scratch each time.\u00a0<\/p>\n\n\n\n<p>Imagine a lawyer at a large firm: AI can draft a simple letter\u2014great!\u00a0But would you entrust it with preparing a key, million-pound contract? No\u00a0because\u00a0the model\u00a0doesn\u2019t\u00a0remember\u00a0previous\u00a0edits or the client\u2019s preferences, so it repeats the same mistakes.\u00a0<\/p>\n\n\n\n<p>The MIT report\u00a0highlights\u00a0three\u00a0main\u00a0failure\u00a0patterns:\u00a0<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The pilot-to-production gap<\/strong>:\u00a0of the 60% of firms that start exploring AI, only 5% reach full production deployment. Projects die because they\u00a0don\u2019t\u00a0work in the\u00a0real business\u00a0world.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Shadow AI<\/strong>:\u00a0employees use private tools even when official deployments fail. Demand for AI is huge but corporate systems often fall short.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The\u00a0\u201cbuild vs buy\u201d\u00a0trap<\/strong>:\u00a0off-the-shelf solutions bought from partners have a 67% chance of success,\u00a0whereas\u00a0projects built in-house succeed only 33% of the time.\u00a0<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AI reports\u2014how to read them<\/strong>\u00a0<\/h2>\n\n\n\n<p>The MIT\u00a0figure\u00a0of 95%\u00a0failures\u00a0can\u00a0be\u00a0striking, but\u00a0it\u2019s\u00a0worth\u00a0looking\u00a0more\u00a0broadly:\u00a0<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>BCG\u00a0reports\u00a0that\u00a0<strong>80% of AI\u00a0deployments\u00a0meet\u00a0or\u00a0exceed\u00a0expectations.<\/strong>\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Google\u00a0Cloud\u00a0claims\u00a0<strong>74% of\u00a0companies\u00a0see\u00a0a return on investment\u00a0within\u00a0the\u00a0first\u00a0year.<\/strong>\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Boston Consulting\u00a0Group\u00a0indicates\u00a0that\u00a0<strong>26% of\u00a0firms\u00a0generate\u00a0real business\u00a0value\u00a0as AI\u00a0leaders.<\/strong>\u00a0<\/li>\n<\/ul>\n\n\n\n<p><strong>The differences\u00a0mainly come\u00a0down to how\u00a0\u201csuccess\u201d\u00a0is defined.<\/strong>\u00a0MIT set the bar\u00a0very high: success = full production deployment of AI with direct impact on the profit and loss account. Other studies use more pragmatic criteria such as productivity improvements, cost\u00a0reduction\u00a0or process optimisation.\u00a0<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>When\u00a0AI\u00a0fails: the\u00a0Air\u00a0Canada\u00a0example<\/strong>\u00a0<\/h2>\n\n\n\n<p>In 2022\u00a0<strong>the story of Jack Moffatt<\/strong>\u00a0made headlines and became a textbook example of what can go wrong when companies place too much trust in artificial intelligence. Mr Moffatt was travelling after the death of his grandmother and wanted to use a\u00a0bereavement fare\u2014a discount for people travelling to a close relative\u2019s funeral. He\u00a0couldn\u2019t\u00a0find clear information on Air Canada\u2019s website, so he asked the chatbot.\u00a0<\/p>\n\n\n\n<p>The AI assistant replied with confidence: buy the full-price ticket and within 90 days you can apply for a partial refund. The chatbot even supplied a link to the relevant form. It sounded credible\u2014Mr Moffatt trusted the system and bought a ticket for over US$1,600.\u00a0<\/p>\n\n\n\n<p>After\u00a0the\u00a0trip\u00a0he\u00a0filed\u00a0for a\u00a0refund\u00a0and\u2026 was\u00a0denied. Under\u00a0Air\u00a0Canada\u2019s\u00a0policy,\u00a0bereavement\u00a0discounts\u00a0were\u00a0not\u00a0applicable\u00a0after\u00a0travel. A\u00a0months-long\u00a0exchange of\u00a0emails\u00a0followed\u00a0and\u00a0eventually\u00a0the\u00a0case\u00a0went to\u00a0court.\u00a0<\/p>\n\n\n\n<p>Air\u00a0Canada\u00a0tried\u00a0to\u00a0defend\u00a0itself\u00a0with\u00a0two, to\u00a0put\u00a0it\u00a0mildly,\u00a0controversial\u00a0arguments:\u00a0<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The chatbot is an independent entity\u2014the company argued it was not responsible for content generated by the AI. The court rejected this, ruling that the chatbot is an integral part of the website and the company\u00a0is responsible for\u00a0its communications.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The customer should have checked the terms and conditions\u2014since the correct information was available elsewhere on the site, the customer was at fault. The court also rejected this, asking why a user should be expected to assume one part of the site is more reliable than another.\u00a0<\/li>\n<\/ul>\n\n\n\n<p><strong>In the end Air Canada lost the case and had to refund the money.<\/strong>\u00a0The sum was symbolic, but the case set a precedent\u2014it showed that companies are accountable for AI errors just as they are for any other content published on their site.\u00a0<\/p>\n\n\n\n<p>This\u00a0story\u00a0demonstrates\u00a0two\u00a0fundamental\u00a0truths:\u00a0<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Responsibility cannot be delegated to technology:\u00a0<\/strong>no matter how\u00a0\u201cintelligent\u201d\u00a0a tool appears, the company\u00a0remains\u00a0liable for its operation and consequences.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Hallucinations are an intrinsic feature of language models:<\/strong>\u00a0AI can generate\u00a0plausible-sounding\u00a0but false information. It is the role of engineers and managers to design guardrails that minimise the risk of mistakes.\u00a0<\/li>\n<\/ul>\n\n\n\n<p>In practice the balance is difficult. Too weak safeguards lead to embarrassing errors; too strong\u2014as with a specialist Microsoft chatbot for Minecraft that answered most questions with\u00a0\u201cI don\u2019t know\u201d\u2014make the tool useless.\u00a0<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How\u00a0language\u00a0models\u00a0work\u00a0and\u00a0what\u00a0that\u00a0means\u00a0in\u00a0practice<\/strong>\u00a0<\/h2>\n\n\n\n<p>A large language model (LLM) is\u00a0essentially an\u00a0advanced text autocompletion system. Its basic task is simple\u2014predict which word should come next\u00a0in a given\u00a0sequence. Everything else that appears as\u00a0\u201cintelligence\u201d\u2014writing code, creating summaries, generating presentations\u2014is a side effect of that single function\u00a0operating\u00a0at an unimaginable scale.\u00a0<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>The\u00a0breakthrough:\u00a0transformers<\/strong>\u00a0<\/h3>\n\n\n\n<p>In 2017 the seminal paper\u00a0<em>Attention Is All You Need<\/em>\u00a0introduced the transformer architecture. Unlike\u00a0previous\u00a0models that read text sequentially and easily\u00a0\u201cforgot\u201d\u00a0earlier words, transformers analyse all tokens simultaneously. Thanks to the self-attention mechanism they can link relevant information across the entire sentence. Example? In the sentence \u201cMichael, sitting on the chair, was eating pepperoni pizza. It was his favourite flavour\u201d the word\u00a0\u201cit\u201d\u00a0will be linked to\u00a0\u201cpizza\u201d,\u00a0not to\u00a0\u201cchair\u201d,\u00a0because the context relates to eating. This is how models begin to\u00a0\u201cunderstand\u201d\u00a0language\u2014at least in a statistical sense.\u00a0<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>How\u00a0models\u00a0learn<\/strong>\u00a0<\/h3>\n\n\n\n<p>Training\u00a0an\u00a0LLM\u00a0consists\u00a0of\u00a0two\u00a0main\u00a0stages:\u00a0<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Pre-training:\u00a0<\/strong>the model is\u00a0\u201clocked away\u201d\u00a0for many months on vast datasets covering much of the internet, books,\u00a0articles\u00a0and Wikipedia. It learns grammar, facts and writing styles, but it also absorbs errors,\u00a0biases\u00a0and toxic content.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Fine-tuning:<\/strong>\u00a0the\u00a0\u201cschool of good manners.\u201d\u00a0The model is adapted for useful and safe operation using RLHF (Reinforcement Learning with Human Feedback).\u00a0Trainers\u00a0rate generated responses,\u00a0indicating\u00a0the best and worst ones, and the model learns human preferences. The result? The model can answer helpfully, but it does not expand its knowledge \u2014 it merely filters behaviours.\u00a0<\/li>\n<\/ul>\n\n\n\n<p>The key lesson: LLMs predict next words. Everything else is a side effect, not\u00a0\u201cmagic\u201d\u00a0or genuine understanding.\u00a0<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>A\u00a0revolution\u00a0in\u00a0application\u00a0development<\/strong>\u00a0<\/h2>\n\n\n\n<p><strong>The\u00a0traditional\u00a0application\u00a0development\u00a0process\u00a0can\u00a0be\u00a0long\u00a0and\u00a0costly:<\/strong>\u00a0idea \u2192\u00a0meetings\u00a0\u2192\u00a0specifications\u00a0\u2192\u00a0mockups\u00a0\u2192 development \u2192\u00a0first\u00a0release.\u00a0<strong>AI\u00a0radically\u00a0shortens\u00a0that\u00a0cycle<\/strong>. Tools\u00a0such\u00a0as\u00a0Uizard\u00a0or\u00a0Visily\u00a0can\u00a0turn\u00a0a\u00a0text\u00a0description\u00a0into\u00a0an\u00a0interactive\u00a0prototype.\u00a0<\/p>\n\n\n\n<p>What\u00a0does\u00a0this\u00a0mean\u00a0for\u00a0developers?\u00a0<strong>No AI\u00a0tool\u00a0will\u00a0ever\u00a0fully\u00a0replace\u00a0programmers, but\u00a0it\u00a0will\u00a0certainly\u00a0change\u00a0how\u00a0they\u00a0work<\/strong>.\u00a0Thanks\u00a0to AI, business\u00a0teams\u00a0will\u00a0be\u00a0able\u00a0to\u00a0create\u00a0simple\u00a0tools\u00a0themselves\u00a0and\u00a0produce\u00a0higher-quality\u00a0prototypes\u00a0much\u00a0more\u00a0easily.\u00a0<strong>Developers\u00a0can\u00a0then\u00a0focus\u00a0on\u00a0what\u00a0is\u00a0truly\u00a0hard\u00a0and\u00a0valuable:\u00a0<\/strong>business\u00a0logic,\u00a0architecture,\u00a0performance\u00a0and\u00a0security.\u00a0<\/p>\n\n\n\n<p>At the same\u00a0time\u00a0the nature of errors changes\u2014fewer typos and small mistakes, but more fundamental architectural faults and security vulnerabilities. There is also a psychological trap known as automation bias:\u00a0<strong>we trust the machine when we should be critically verifying generated code.<\/strong>\u00a0<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Safe\u00a0uses\u00a0of AI\u00a0tools<\/strong>\u00a0<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Three\u00a0golden\u00a0rules\u00a0for\u00a0using\u00a0AI<\/strong>\u00a0<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>You are the pilot, not the passenger:<\/strong>\u00a0critically verify everything AI suggests.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Don\u2019t\u00a0trust\u2014test:<\/strong>\u00a0treat code as if it were written by an unknown intern and apply TDD.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Share, but not secrets<\/strong>:\u00a0use enterprise or self-hosted secure versions; do not paste confidential data into public tools.\u00a0<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>AI in everyday work\u2014research mode<\/strong>\u00a0<\/h3>\n\n\n\n<p>Increasingly, AI aids not only in code generation but also in faster information discovery. ChatGPT\u2019s research mode allows you to ask questions in natural language and the model searches hundreds of sources, analyses them and returns a summary with links. This can be far more effective than classic keyword search.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>RAG:\u00a0Retrieval-Augmented Generation<\/strong>\u00a0<\/h3>\n\n\n\n<p>RAG\u00a0is\u00a0an\u00a0example\u00a0of a\u00a0safe\u00a0approach\u00a0to\u00a0using\u00a0AI with\u00a0documentation. The model\u00a0does\u00a0not\u00a0guess\u00a0from\u00a0memory\u00a0but\u00a0uses\u00a0only\u00a0selected\u00a0fragments\u00a0of\u00a0our\u00a0documentation,\u00a0which\u00a0gives\u00a0three\u00a0benefits:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Control<\/strong>:\u00a0answers come exclusively from our data.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Credibility<\/strong>:\u00a0each answer cites a source.\u00a0<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Currency<\/strong>:\u00a0changes\u00a0in documentation are\u00a0immediately\u00a0reflected.\u00a0<\/li>\n<\/ul>\n\n\n\n<p>In\u00a0practice\u00a0this\u00a0means\u00a0faster\u00a0answers,\u00a0shorter\u00a0onboarding\u00a0and\u00a0documentation\u00a0that\u00a0becomes\u00a0a\u00a0living\u00a0interactivetool\u00a0rather\u00a0than\u00a0a\u00a0graveyard\u00a0of\u00a0PDFs.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Summary\u2014three\u00a0things\u00a0to\u00a0remember<\/strong>\u00a0<\/h2>\n\n\n\n<p>Remember that\u00a0<strong>AI is a powerful tool, not a magic wand<\/strong>\u2014most failures stem from human error. The crucial point is to understand that AI predicts words, it does not think, so our critical oversight is always\u00a0required. The biggest winners in this revolution start with real problems, asking\u00a0\u201cWhich problem can I solve?\u201d\u00a0rather than looking for yet another area to\u00a0\u201cshoehorn\u201d\u00a0AI into.\u00a0<strong>Treat AI as a clever partner: learn, test, experiment and focus on what\u00a0actually delivers\u00a0value.<\/strong><\/p>\n\n\n\n<p>If you are considering implementing an AI-based solution within your organisation and want to ensure it delivers real, measurable results, fill in the form below. Our specialists will be happy to support you in the next steps.<\/p>\n\n\n<ol class=\"wp-block-footnotes\"><li id=\"5a9fdd67-9e58-4bea-af90-cc8cb8963332\"><a href=\"https:\/\/www.artificialintelligence-news.com\/wp-content\/uploads\/2025\/08\/ai_report_2025.pdf\" rel=\"nofollow noopener\" target=\"_blank\">ai_report_2025.pdf<\/a> <a href=\"#5a9fdd67-9e58-4bea-af90-cc8cb8963332-link\" aria-label=\"Przejd\u017a do przypisu 1\">\u21a9\ufe0e<\/a><\/li><\/ol>\n\n\n<div class=\"wp-block-contact-form-7-contact-form-selector\">\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f5799-o1\" lang=\"pl-PL\" dir=\"ltr\" data-wpcf7-id=\"5799\">\n<div class=\"screen-reader-response\"><p role=\"status\" aria-live=\"polite\" aria-atomic=\"true\"><\/p> <ul><\/ul><\/div>\n<form action=\"\/blog\/wp-json\/wp\/v2\/posts\/5466#wpcf7-f5799-o1\" method=\"post\" class=\"wpcf7-form init\" aria-label=\"Formularz kontaktowy\" novalidate=\"novalidate\" data-status=\"init\">\n<fieldset class=\"hidden-fields-container\"><input type=\"hidden\" name=\"_wpcf7\" value=\"5799\" \/><input type=\"hidden\" name=\"_wpcf7_version\" value=\"6.1.6\" \/><input type=\"hidden\" name=\"_wpcf7_locale\" value=\"pl_PL\" \/><input type=\"hidden\" name=\"_wpcf7_unit_tag\" value=\"wpcf7-f5799-o1\" \/><input type=\"hidden\" name=\"_wpcf7_container_post\" value=\"0\" \/><input type=\"hidden\" name=\"_wpcf7_posted_data_hash\" value=\"\" \/><input type=\"hidden\" name=\"_wpcf7_recaptcha_response\" value=\"\" \/>\n<\/fieldset>\n<h2 class=\"form-title\"><span class=\"ez-toc-section\" id=\"contact-us\"><\/span>Contact us\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"form-row\">\n\t<div class=\"form-column\">\n\t\t<p><span class=\"wpcf7-form-control-wrap\" data-name=\"your-name\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Name and surname*\" value=\"\" type=\"text\" name=\"your-name\" \/><\/span>\n\t\t<\/p>\n\t<\/div>\n\t<div class=\"form-column\">\n\t\t<p><span class=\"wpcf7-form-control-wrap\" data-name=\"your-company\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Company*\" value=\"\" type=\"text\" name=\"your-company\" \/><\/span>\n\t\t<\/p>\n\t<\/div>\n<\/div>\n<div class=\"form-row\">\n\t<div class=\"form-column\">\n\t\t<p><span class=\"wpcf7-form-control-wrap\" data-name=\"your-email\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-email wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-email\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"E-mail*\" value=\"\" type=\"email\" name=\"your-email\" \/><\/span>\n\t\t<\/p>\n\t<\/div>\n\t<div class=\"form-column\">\n\t\t<p><span class=\"wpcf7-form-control-wrap\" data-name=\"phone-number\"><input size=\"40\" maxlength=\"15\" class=\"wpcf7-form-control wpcf7-tel wpcf7-text wpcf7-validates-as-tel\" aria-invalid=\"false\" placeholder=\"Phone number\" value=\"\" type=\"tel\" name=\"phone-number\" \/><\/span>\n\t\t<\/p>\n\t<\/div>\n<\/div>\n<p><span class=\"wpcf7-form-control-wrap\" data-name=\"your-message\"><textarea cols=\"40\" rows=\"10\" maxlength=\"2000\" class=\"wpcf7-form-control wpcf7-textarea\" aria-invalid=\"false\" placeholder=\"Message\" name=\"your-message\"><\/textarea><\/span>\n<\/p>\n<p><input class=\"wpcf7-form-control wpcf7-submit has-spinner\" type=\"submit\" value=\"Submit\" \/>\n<\/p>\n<div class=\"wpcf7-response-output\" aria-hidden=\"true\"><\/div>\n<p>*Required\n<\/p>\n<p class=\"klauzula-naglowek\">Clause:\n<\/p>\n<p>The administrator of your personal data is Infinity Group Sp. z o.o., with its registered office in Bia\u0142ystok.<br \/>\nThe data provided in the form will be processed for the purpose of responding to your inquiry (Article 6(1)(f) of the GDPR \u2013 the administrator\u2019s legitimate interest consisting in conducting correspondence). Providing your data is voluntary, but necessary in order to receive a response.<br \/>\nYou have, among others, the right to object to the processing of your data and the right to lodge a complaint with the President of the Personal Data Protection Office (Poland). Detailed information, including information on data recipients, the data retention period, and possible transfers of data outside the EEA, can be found under the link \u201cInformation on the processing of your personal data\u201d.\n<\/p>\n<\/form>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>At the moment\u00a0you\u00a0can\u2019t\u00a0go anywhere without hearing about new tools and breakthrough AI models\u2014people keep repeating like a broken record that artificial intelligence will soon change everything. But we, developers,\u00a0know very well that\u00a0there is a huge gap between a flashy demo and a solution that\u00a0actually works\u00a0in production.\u00a0 The aim of this article is therefore not to&#8230;<\/p>\n","protected":false},"author":15,"featured_media":6141,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"[{\"content\":\"<a href=\\\"https:\/\/www.artificialintelligence-news.com\/wp-content\/uploads\/2025\/08\/ai_report_2025.pdf\\\">ai_report_2025.pdf<\/a>\",\"id\":\"5a9fdd67-9e58-4bea-af90-cc8cb8963332\"}]"},"class_list":["post-5466","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-en"],"_links":{"self":[{"href":"https:\/\/www.infinity-group.dev\/blog\/wp-json\/wp\/v2\/posts\/5466","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.infinity-group.dev\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.infinity-group.dev\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.infinity-group.dev\/blog\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/www.infinity-group.dev\/blog\/wp-json\/wp\/v2\/comments?post=5466"}],"version-history":[{"count":8,"href":"https:\/\/www.infinity-group.dev\/blog\/wp-json\/wp\/v2\/posts\/5466\/revisions"}],"predecessor-version":[{"id":5994,"href":"https:\/\/www.infinity-group.dev\/blog\/wp-json\/wp\/v2\/posts\/5466\/revisions\/5994"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.infinity-group.dev\/blog\/wp-json\/wp\/v2\/media\/6141"}],"wp:attachment":[{"href":"https:\/\/www.infinity-group.dev\/blog\/wp-json\/wp\/v2\/media?parent=5466"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}