{"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&nbsp;you&nbsp;can\u2019t&nbsp;go 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,&nbsp;know very well that<strong>&nbsp;there is a huge gap between a flashy demo and a solution that&nbsp;actually works&nbsp;in production.<\/strong>&nbsp;<\/p><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 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&nbsp;generative&nbsp;AI&nbsp;divide&nbsp;<\/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&nbsp;<\/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&nbsp;<\/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&nbsp;AI&nbsp;fails: the&nbsp;Air&nbsp;Canada&nbsp;example&nbsp;<\/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&nbsp;language&nbsp;models&nbsp;work&nbsp;and&nbsp;what&nbsp;that&nbsp;means&nbsp;in&nbsp;practice&nbsp;<\/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&nbsp;breakthrough:&nbsp;transformers&nbsp;<\/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&nbsp;models&nbsp;learn&nbsp;<\/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&nbsp;revolution&nbsp;in&nbsp;application&nbsp;development&nbsp;<\/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&nbsp;uses&nbsp;of AI&nbsp;tools&nbsp;<\/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&nbsp;golden&nbsp;rules&nbsp;for&nbsp;using&nbsp;AI&nbsp;<\/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&nbsp;<\/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:&nbsp;Retrieval-Augmented Generation&nbsp;<\/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&nbsp;things&nbsp;to&nbsp;remember&nbsp;<\/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-with-us\" >Contact with 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&nbsp;\u201cmagic of AI\u201d.&nbsp;I 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,&nbsp;safely&nbsp;and effectively.<\/strong>&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"the-generative-ai-divide\"><\/span><strong>The&nbsp;generative&nbsp;AI&nbsp;divide<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Every&nbsp;day&nbsp;we 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.&nbsp;<\/p>\n\n\n\n<p><strong>MIT\u2019s report&nbsp;<em>The GenAI Divide<\/em>&nbsp;<\/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.&nbsp;<\/strong>\u201cFailure\u201d&nbsp;means there is no measurable return on investment\u2014zero impact on financial results. Billions of dollars are poured down the drain and&nbsp;<strong>only 5% of companies realise real benefits.<\/strong>&nbsp;<\/p>\n\n\n\n<p>The report defines a&nbsp;\u201cgenerative AI divide\u201d:&nbsp;<strong>an elite 5% of firms successfully deploy AI,<\/strong>&nbsp;earn&nbsp;millions&nbsp;and gain competitive advantage, while the remaining 95% are stuck.&nbsp;<\/p>\n\n\n\n<p>What\u2019s&nbsp;the 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.&nbsp;So,<strong>&nbsp;if AI tools are so widespread, why do corporate deployments fail so often?<\/strong>&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"the-learning-gap\"><\/span><strong>The learning gap<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/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&nbsp;has to&nbsp;be explained from scratch each time.&nbsp;<\/p>\n\n\n\n<p>Imagine a lawyer at a large firm: AI can draft a simple letter\u2014great!&nbsp;But would you entrust it with preparing a key, million-pound contract? No&nbsp;because&nbsp;the model&nbsp;doesn\u2019t&nbsp;remember&nbsp;previous&nbsp;edits or the client\u2019s preferences, so it repeats the same mistakes.&nbsp;<\/p>\n\n\n\n<p>The MIT report&nbsp;highlights&nbsp;three&nbsp;main&nbsp;failure&nbsp;patterns:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The pilot-to-production gap<\/strong>:&nbsp;of the 60% of firms that start exploring AI, only 5% reach full production deployment. Projects die because they&nbsp;don\u2019t&nbsp;work in the&nbsp;real business&nbsp;world.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Shadow AI<\/strong>:&nbsp;employees use private tools even when official deployments fail. Demand for AI is huge but corporate systems often fall short.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The&nbsp;\u201cbuild vs buy\u201d&nbsp;trap<\/strong>:&nbsp;off-the-shelf solutions bought from partners have a 67% chance of success,&nbsp;whereas&nbsp;projects built in-house succeed only 33% of the time.&nbsp;<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"ai-reports%e2%80%94how-to-read-them\"><\/span><strong>AI reports\u2014how to read them<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The MIT&nbsp;figure&nbsp;of 95%&nbsp;failures&nbsp;can&nbsp;be&nbsp;striking, but&nbsp;it\u2019s&nbsp;worth&nbsp;looking&nbsp;more&nbsp;broadly:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>BCG&nbsp;reports&nbsp;that&nbsp;<strong>80% of AI&nbsp;deployments&nbsp;meet&nbsp;or&nbsp;exceed&nbsp;expectations.<\/strong>&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Google&nbsp;Cloud&nbsp;claims&nbsp;<strong>74% of&nbsp;companies&nbsp;see&nbsp;a return on investment&nbsp;within&nbsp;the&nbsp;first&nbsp;year.<\/strong>&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Boston Consulting&nbsp;Group&nbsp;indicates&nbsp;that&nbsp;<strong>26% of&nbsp;firms&nbsp;generate&nbsp;real business&nbsp;value&nbsp;as AI&nbsp;leaders.<\/strong>&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>The differences&nbsp;mainly come&nbsp;down to how&nbsp;\u201csuccess\u201d&nbsp;is defined.<\/strong>&nbsp;MIT set the bar&nbsp;very 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&nbsp;reduction&nbsp;or process optimisation.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"when-ai-fails-the-air-canada-example\"><\/span><strong>When&nbsp;AI&nbsp;fails: the&nbsp;Air&nbsp;Canada&nbsp;example<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In 2022&nbsp;<strong>the story of Jack Moffatt<\/strong>&nbsp;made 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&nbsp;bereavement fare\u2014a discount for people travelling to a close relative\u2019s funeral. He&nbsp;couldn\u2019t&nbsp;find clear information on Air Canada\u2019s website, so he asked the chatbot.&nbsp;<\/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.&nbsp;<\/p>\n\n\n\n<p>After&nbsp;the&nbsp;trip&nbsp;he&nbsp;filed&nbsp;for a&nbsp;refund&nbsp;and\u2026 was&nbsp;denied. Under&nbsp;Air&nbsp;Canada\u2019s&nbsp;policy,&nbsp;bereavement&nbsp;discounts&nbsp;were&nbsp;not&nbsp;applicable&nbsp;after&nbsp;travel. A&nbsp;months-long&nbsp;exchange of&nbsp;emails&nbsp;followed&nbsp;and&nbsp;eventually&nbsp;the&nbsp;case&nbsp;went to&nbsp;court.&nbsp;<\/p>\n\n\n\n<p>Air&nbsp;Canada&nbsp;tried&nbsp;to&nbsp;defend&nbsp;itself&nbsp;with&nbsp;two, to&nbsp;put&nbsp;it&nbsp;mildly,&nbsp;controversial&nbsp;arguments:&nbsp;<\/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&nbsp;is responsible for&nbsp;its communications.&nbsp;<\/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.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>In the end Air Canada lost the case and had to refund the money.<\/strong>&nbsp;The 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.&nbsp;<\/p>\n\n\n\n<p>This&nbsp;story&nbsp;demonstrates&nbsp;two&nbsp;fundamental&nbsp;truths:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Responsibility cannot be delegated to technology:&nbsp;<\/strong>no matter how&nbsp;\u201cintelligent\u201d&nbsp;a tool appears, the company&nbsp;remains&nbsp;liable for its operation and consequences.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Hallucinations are an intrinsic feature of language models:<\/strong>&nbsp;AI can generate&nbsp;plausible-sounding&nbsp;but false information. It is the role of engineers and managers to design guardrails that minimise the risk of mistakes.&nbsp;<\/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&nbsp;\u201cI don\u2019t know\u201d\u2014make the tool useless.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"how-language-models-work-and-what-that-means-in-practice\"><\/span><strong>How&nbsp;language&nbsp;models&nbsp;work&nbsp;and&nbsp;what&nbsp;that&nbsp;means&nbsp;in&nbsp;practice<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>A large language model (LLM) is&nbsp;essentially an&nbsp;advanced text autocompletion system. Its basic task is simple\u2014predict which word should come next&nbsp;in a given&nbsp;sequence. Everything else that appears as&nbsp;\u201cintelligence\u201d\u2014writing code, creating summaries, generating presentations\u2014is a side effect of that single function&nbsp;operating&nbsp;at an unimaginable scale.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"the-breakthrough-transformers\"><\/span><strong>The&nbsp;breakthrough:&nbsp;transformers<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>In 2017 the seminal paper&nbsp;<em>Attention Is All You Need<\/em>&nbsp;introduced the transformer architecture. Unlike&nbsp;previous&nbsp;models that read text sequentially and easily&nbsp;\u201cforgot\u201d&nbsp;earlier 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&nbsp;\u201cit\u201d&nbsp;will be linked to&nbsp;\u201cpizza\u201d,&nbsp;not to&nbsp;\u201cchair\u201d,&nbsp;because the context relates to eating. This is how models begin to&nbsp;\u201cunderstand\u201d&nbsp;language\u2014at least in a statistical sense.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"how-models-learn\"><\/span><strong>How&nbsp;models&nbsp;learn<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Training&nbsp;an&nbsp;LLM&nbsp;consists&nbsp;of&nbsp;two&nbsp;main&nbsp;stages:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Pre-training:&nbsp;<\/strong>the model is&nbsp;\u201clocked away\u201d&nbsp;for many months on vast datasets covering much of the internet, books,&nbsp;articles&nbsp;and Wikipedia. It learns grammar, facts and writing styles, but it also absorbs errors,&nbsp;biases&nbsp;and toxic content.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Fine-tuning:<\/strong>&nbsp;the&nbsp;\u201cschool of good manners.\u201d&nbsp;The model is adapted for useful and safe operation using RLHF (Reinforcement Learning with Human Feedback).&nbsp;Trainers&nbsp;rate generated responses,&nbsp;indicating&nbsp;the 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.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>The key lesson: LLMs predict next words. Everything else is a side effect, not&nbsp;\u201cmagic\u201d&nbsp;or genuine understanding.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"a-revolution-in-application-development\"><\/span><strong>A&nbsp;revolution&nbsp;in&nbsp;application&nbsp;development<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>The&nbsp;traditional&nbsp;application&nbsp;development&nbsp;process&nbsp;can&nbsp;be&nbsp;long&nbsp;and&nbsp;costly:<\/strong>&nbsp;idea \u2192&nbsp;meetings&nbsp;\u2192&nbsp;specifications&nbsp;\u2192&nbsp;mockups&nbsp;\u2192 development \u2192&nbsp;first&nbsp;release.&nbsp;<strong>AI&nbsp;radically&nbsp;shortens&nbsp;that&nbsp;cycle<\/strong>. Tools&nbsp;such&nbsp;as&nbsp;Uizard&nbsp;or&nbsp;Visily&nbsp;can&nbsp;turn&nbsp;a&nbsp;text&nbsp;description&nbsp;into&nbsp;an&nbsp;interactive&nbsp;prototype.&nbsp;<\/p>\n\n\n\n<p>What&nbsp;does&nbsp;this&nbsp;mean&nbsp;for&nbsp;developers?&nbsp;<strong>No AI&nbsp;tool&nbsp;will&nbsp;ever&nbsp;fully&nbsp;replace&nbsp;programmers, but&nbsp;it&nbsp;will&nbsp;certainly&nbsp;change&nbsp;how&nbsp;they&nbsp;work<\/strong>.&nbsp;Thanks&nbsp;to AI, business&nbsp;teams&nbsp;will&nbsp;be&nbsp;able&nbsp;to&nbsp;create&nbsp;simple&nbsp;tools&nbsp;themselves&nbsp;and&nbsp;produce&nbsp;higher-quality&nbsp;prototypes&nbsp;much&nbsp;more&nbsp;easily.&nbsp;<strong>Developers&nbsp;can&nbsp;then&nbsp;focus&nbsp;on&nbsp;what&nbsp;is&nbsp;truly&nbsp;hard&nbsp;and&nbsp;valuable:&nbsp;<\/strong>business&nbsp;logic,&nbsp;architecture,&nbsp;performance&nbsp;and&nbsp;security.&nbsp;<\/p>\n\n\n\n<p>At the same&nbsp;time&nbsp;the 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:&nbsp;<strong>we trust the machine when we should be critically verifying generated code.<\/strong>&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"safe-uses-of-ai-tools\"><\/span><strong>Safe&nbsp;uses&nbsp;of AI&nbsp;tools<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"three-golden-rules-for-using-ai\"><\/span><strong>Three&nbsp;golden&nbsp;rules&nbsp;for&nbsp;using&nbsp;AI<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>You are the pilot, not the passenger:<\/strong>&nbsp;critically verify everything AI suggests.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Don\u2019t&nbsp;trust\u2014test:<\/strong>&nbsp;treat code as if it were written by an unknown intern and apply TDD.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Share, but not secrets<\/strong>:&nbsp;use enterprise or self-hosted secure versions; do not paste confidential data into public tools.&nbsp;<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"ai-in-everyday-work%e2%80%94research-mode\"><\/span><strong>AI in everyday work\u2014research mode<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/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\"><span class=\"ez-toc-section\" id=\"rag-retrieval-augmented-generation\"><\/span><strong>RAG:&nbsp;Retrieval-Augmented Generation<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>RAG&nbsp;is&nbsp;an&nbsp;example&nbsp;of a&nbsp;safe&nbsp;approach&nbsp;to&nbsp;using&nbsp;AI with&nbsp;documentation. The model&nbsp;does&nbsp;not&nbsp;guess&nbsp;from&nbsp;memory&nbsp;but&nbsp;uses&nbsp;only&nbsp;selected&nbsp;fragments&nbsp;of&nbsp;our&nbsp;documentation,&nbsp;which&nbsp;gives&nbsp;three&nbsp;benefits:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Control<\/strong>:&nbsp;answers come exclusively from our data.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Credibility<\/strong>:&nbsp;each answer cites a source.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Currency<\/strong>:&nbsp;changes&nbsp;in documentation are&nbsp;immediately&nbsp;reflected.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>In&nbsp;practice&nbsp;this&nbsp;means&nbsp;faster&nbsp;answers,&nbsp;shorter&nbsp;onboarding&nbsp;and&nbsp;documentation&nbsp;that&nbsp;becomes&nbsp;a&nbsp;living&nbsp;interactivetool&nbsp;rather&nbsp;than&nbsp;a&nbsp;graveyard&nbsp;of&nbsp;PDFs.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"summary%e2%80%94three-things-to-remember\"><\/span><strong>Summary\u2014three&nbsp;things&nbsp;to&nbsp;remember<\/strong>&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Remember that&nbsp;<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&nbsp;required. The biggest winners in this revolution start with real problems, asking&nbsp;\u201cWhich problem can I solve?\u201d&nbsp;rather than looking for yet another area to&nbsp;\u201cshoehorn\u201d&nbsp;AI into.&nbsp;<strong>Treat AI as a clever partner: learn, test, experiment and focus on what&nbsp;actually delivers&nbsp;value.<\/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=\"6.1.5\" \/><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-with-us\"><\/span>Contact with 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&nbsp;you&nbsp;can\u2019t&nbsp;go 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,&nbsp;know very well that&nbsp;there is a huge gap between a flashy demo and a solution that&nbsp;actually works&nbsp;in production.&nbsp; 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.pl\/blog\/wp-json\/wp\/v2\/posts\/5466","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.infinity-group.pl\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.infinity-group.pl\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.infinity-group.pl\/blog\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/www.infinity-group.pl\/blog\/wp-json\/wp\/v2\/comments?post=5466"}],"version-history":[{"count":8,"href":"https:\/\/www.infinity-group.pl\/blog\/wp-json\/wp\/v2\/posts\/5466\/revisions"}],"predecessor-version":[{"id":5994,"href":"https:\/\/www.infinity-group.pl\/blog\/wp-json\/wp\/v2\/posts\/5466\/revisions\/5994"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.infinity-group.pl\/blog\/wp-json\/wp\/v2\/media\/6141"}],"wp:attachment":[{"href":"https:\/\/www.infinity-group.pl\/blog\/wp-json\/wp\/v2\/media?parent=5466"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}