{"id":17021,"date":"2023-11-09T16:30:13","date_gmt":"2023-11-09T15:30:13","guid":{"rendered":"https:\/\/actualizatec.com\/blog\/how-to-integrate-chatgpt-into-a-mobile-app-complete-technical-guide-2026\/"},"modified":"2026-05-19T13:04:19","modified_gmt":"2026-05-19T11:04:19","slug":"how-to-integrate-chatgpt-into-apps","status":"publish","type":"post","link":"https:\/\/actualizatec.com\/en\/blog\/how-to-integrate-chatgpt-into-apps\/","title":{"rendered":"How to integrate ChatGPT into a mobile app: complete technical guide [2026]."},"content":{"rendered":"<p>Integrating ChatGPT (or another artificial intelligence API) into a mobile app can improve the user experience, automate support and personalize interactions, but it requires choosing the right model, controlling costs per token and designing a scalable architecture.<\/p>\n<p>In this guide we explain step by step how to do it, how much it really costs and what mistakes you should avoid, applying Actualizatec&#8217;s <strong>INTEGRATE Framework<\/strong>: our 8-step methodology to successfully implement AI in mobile apps.<\/p>\n<p>Here is the video where we tell you about it:<\/p>\n<div class=\"lyte-wrapper\" style=\"width:640px;max-width:100%;margin:5px;\"><div class=\"lyMe\" id=\"WYL___Eca041MHI\"><div id=\"lyte___Eca041MHI\" data-src=\"https:\/\/actualizatec.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=%2F%2Fi.ytimg.com%2Fvi%2F__Eca041MHI%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\"><\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/youtu.be\/__Eca041MHI\"><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/actualizatec.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2F__Eca041MHI%2F0.jpg\" alt=\"YouTube video thumbnail\" width=\"640\" height=\"340\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:640px;margin:5px;\"><\/div><\/p>\n<h2 class=\"text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\">Why integrate artificial intelligence into your app?<\/h2>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">The integration of language models such as ChatGPT into mobile apps is no longer an experimental trend but a real competitive advantage. According to Duolingo data (Q4 2025), its AI-powered premium tier &#8211; Duolingo Max &#8211; already accounts for 5% of its paid subscribers, and has been one of the main drivers of growth in revenue per user<a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/investors.duolingo.com\/news-releases\/news-release-details\/duolingo-surpasses-50-million-daily-active-users-grows-dau-36\">(Source: Duolingo Shareholder Letter Q3 2025<\/a>).<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Specific benefits include:<\/p>\n<ul class=\"[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3\">\n<li class=\"whitespace-normal break-words pl-2\"><strong>Improved user experience:<\/strong> natural language interaction, personalized recommendations and contextual assistance within the app.<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>24\/7 support at no incremental cost:<\/strong> an AI wizard can resolve frequent queries around the clock, reducing the burden on the support team.<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>Automation of repetitive tasks:<\/strong> answering FAQs, generating personalized content, classifying tickets or moderating comments.<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>Higher retention:<\/strong> users who find smart and useful features stay longer. This connects directly to the <a target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\/\/actualizatec.com\/en\/blog\/exceptional-mobile-user-experience\/\">user experience on mobile.<\/a> Duolingo reported 36% year-over-year growth in daily active users in Q3 2025<a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/www.stocktitan.net\/sec-filings\/DUOL\/10-k-duolingo-inc-files-annual-report-c4c0de36fe64.html\">(Source: Duolingo 10-K, SEC Filing, February 2026<\/a>).<\/li>\n<\/ul>\n<p>If you don&#8217;t know how to do it, write us <a target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\/\/meetings-eu1.hubspot.com\/meetings\/actualizatec\/reunion-diagnostico-actualizatec?uuid=1c037073-ec25-4da5-92d3-e6de4b52b34e\">here<\/a> and we will help you. Now let&#8217;s see some of the benefits it can bring to your app.<\/p>\n<h2 class=\"text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\">INTEGRATE framework: Actualizatec&#8217;s methodology for implementing AI in apps<\/h2>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">At Actualizatec we have developed the <strong>INTEGRATE Framework<\/strong>, an 8-step methodology to guide the integration of artificial intelligence in mobile apps in a cost-effective and scalable way:<\/p>\n<div class=\"overflow-x-auto w-full px-2 mb-6\">\n<table class=\"min-w-full border-collapse text-sm leading-[1.7] whitespace-normal\">\n<thead class=\"text-left\">\n<tr>\n<th class=\"text-text-100 border-b-0.5 border-border-300\/60 py-2 pr-4 align-top font-bold\" scope=\"col\">Step<\/th>\n<th class=\"text-text-100 border-b-0.5 border-border-300\/60 py-2 pr-4 align-top font-bold\" scope=\"col\">Action<\/th>\n<th class=\"text-text-100 border-b-0.5 border-border-300\/60 py-2 pr-4 align-top font-bold\" scope=\"col\">Description<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>I<\/strong> &#8211; Identify<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Identify the user&#8217;s need<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">What real problem does AI solve in your app? Don&#8217;t integrate ChatGPT &#8220;because it&#8217;s trendy&#8221;. Validate with usage data.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>N<\/strong> &#8211; Negotiate model<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Select the right model and vendor<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Compare GPT-4o-mini, Claude Haiku, Gemini Flash by cost, latency and capacity.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>T<\/strong> &#8211; Test endpoint<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Test the API in development environment<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Configure API keys, make test calls and measure real response times.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>E<\/strong> &#8211; Evaluate cost<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Calculate cost per user\/session<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Estimate tokens per interaction \u00d7 price per million tokens \u00d7 monthly sessions.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>G<\/strong> &#8211; Manage rate limits<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Configure limits and fallbacks<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Implement retries, queues and backup models for traffic peaks.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>R<\/strong> &#8211; Refine prompts<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Optimize system prompts<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">A good system prompt reduces unnecessary tokens and improves response quality.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>A<\/strong> &#8211; Automate moderation<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Filter content and protect the user<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Add security filters, inappropriate content detection and logging.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>TE<\/strong> &#8211; Test UX + Escalate<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Validate with real users and scale<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Do A\/B tests, measure NPS of the AI wizard and scale progressively.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h2 class=\"text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\">Step by step: how to connect the OpenAI API to your app<\/h2>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">Step 1 &#8211; Gain access to the API<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Register at <a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/platform.openai.com\">platform.openai.com<\/a> and generate an API key. OpenAI offers limited initial free credits for testing.<\/p>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">Step 2 &#8211; Choose integration method<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">There are two main ways:<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\"><strong>Option A: Direct API Calls.<\/strong> They give you full control over the parameters (model, temperature, maximum tokens). Simplified example in Python:<\/p>\n<div class=\"relative group\/copy bg-bg-000\/50 border-0.5 border-border-400 rounded-lg focus:outline-none focus-visible:ring-2 focus-visible:ring-accent-100\" tabindex=\"0\" role=\"group\" aria-label=\"C\u00f3digo python\">\n<div class=\"sticky opacity-0 group-hover\/copy:opacity-100 group-focus-within\/copy:opacity-100 top-2 py-2 h-12 w-0 float-right\">\n<div class=\"absolute right-0 h-8 px-2 items-center inline-flex z-10\">\n<div class=\"relative\">\n<div class=\"transition-all opacity-100 scale-100\"><\/div>\n<div class=\"absolute inset-0 flex items-center justify-center\">\n<div class=\"transition-all opacity-0 scale-50\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"text-text-500 font-small p-3.5 pb-0\">python<\/div>\n<div class=\"overflow-x-auto\">\n<pre class=\"code-block__code !my-0 !rounded-lg !text-sm !leading-relaxed p-3.5\"><code class=\"language-python\"><span class=\"token token\">import<\/span> openai\n\nclient <span class=\"token token\">=<\/span> openai<span class=\"token token\">.<\/span>OpenAI<span class=\"token token\">(<\/span>api_key<span class=\"token token\">=<\/span><span class=\"token token\">\"TU_API_KEY\"<\/span><span class=\"token token\">)<\/span>\n\nresponse <span class=\"token token\">=<\/span> client<span class=\"token token\">.<\/span>chat<span class=\"token token\">.<\/span>completions<span class=\"token token\">.<\/span>create<span class=\"token token\">(<\/span>\n    model<span class=\"token token\">=<\/span><span class=\"token token\">\"gpt-4o-mini\"<\/span><span class=\"token token\">,<\/span>\n    messages<span class=\"token token\">=<\/span><span class=\"token token\">[<\/span>\n        <span class=\"token token\">{<\/span><span class=\"token token\">\"role\"<\/span><span class=\"token token\">:<\/span> <span class=\"token token\">\"system\"<\/span><span class=\"token token\">,<\/span> <span class=\"token token\">\"content\"<\/span><span class=\"token token\">:<\/span> <span class=\"token token\">\"Eres un asistente de la app X. Responde de forma concisa.\"<\/span><span class=\"token token\">}<\/span><span class=\"token token\">,<\/span>\n        <span class=\"token token\">{<\/span><span class=\"token token\">\"role\"<\/span><span class=\"token token\">:<\/span> <span class=\"token token\">\"user\"<\/span><span class=\"token token\">,<\/span> <span class=\"token token\">\"content\"<\/span><span class=\"token token\">:<\/span> mensaje_del_usuario<span class=\"token token\">}<\/span>\n    <span class=\"token token\">]<\/span><span class=\"token token\">,<\/span>\n    max_tokens<span class=\"token token\">=<\/span><span class=\"token token\">300<\/span><span class=\"token token\">,<\/span>\n    temperature<span class=\"token token\">=<\/span><span class=\"token token\">0.7<\/span>\n<span class=\"token token\">)<\/span>\n\nrespuesta <span class=\"token token\">=<\/span> response<span class=\"token token\">.<\/span>choices<span class=\"token token\">[<\/span><span class=\"token token\">0<\/span><span class=\"token token\">]<\/span><span class=\"token token\">.<\/span>message<span class=\"token token\">.<\/span>content<\/code><\/pre>\n<\/div>\n<\/div>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\"><strong>Option B: Official OpenAI SDKs.<\/strong> Available in Python, Node.js, Java and more. They simplify authentication, error handling and response streaming.<\/p>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">Step 3 &#8211; Configure the backend<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\"><strong>Never expose your API key directly in the mobile app code.<\/strong> The correct architecture is:<\/p>\n<div class=\"relative group\/copy bg-bg-000\/50 border-0.5 border-border-400 rounded-lg focus:outline-none focus-visible:ring-2 focus-visible:ring-accent-100\" tabindex=\"0\" role=\"group\" aria-label=\"C\u00f3digo\">\n<div class=\"sticky opacity-0 group-hover\/copy:opacity-100 group-focus-within\/copy:opacity-100 top-2 py-2 h-12 w-0 float-right\">\n<div class=\"absolute right-0 h-8 px-2 items-center inline-flex z-10\">\n<div class=\"relative\">\n<div class=\"transition-all opacity-100 scale-100\"><\/div>\n<div class=\"absolute inset-0 flex items-center justify-center\">\n<div class=\"transition-all opacity-0 scale-50\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"overflow-x-auto\">\n<pre class=\"code-block__code !my-0 !rounded-lg !text-sm !leading-relaxed p-3.5\"><code>App m\u00f3vil \u2192 Tu servidor backend (con la API key) \u2192 API de OpenAI<\/code><\/pre>\n<\/div>\n<\/div>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">This protects your key, allows you to control costs and add business logic (filters, logs, limits per user).<\/p>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">Step 4 &#8211; Design the system prompt<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">The system prompt defines the behavior of the wizard. A well-designed prompt can reduce token consumption by 30-50 % and drastically improve quality. It includes:<\/p>\n<ul class=\"[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3\">\n<li class=\"whitespace-normal break-words pl-2\">Assistant&#8217;s role and personality<\/li>\n<li class=\"whitespace-normal break-words pl-2\">Clear limits (what NOT to answer)<\/li>\n<li class=\"whitespace-normal break-words pl-2\">Expected response format<\/li>\n<li class=\"whitespace-normal break-words pl-2\">App and user context<\/li>\n<\/ul>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">Step 5 &#8211; Implement cost control<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Configure:<\/p>\n<ul class=\"[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3\">\n<li class=\"whitespace-normal break-words pl-2\"><code class=\"bg-text-200\/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]\">max_tokens<\/code> per answer (limits the cost per call)<\/li>\n<li class=\"whitespace-normal break-words pl-2\">Daily limits per user<\/li>\n<li class=\"whitespace-normal break-words pl-2\">Cache frequent responses to avoid redundant calls. Measure impact with <a target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\/\/actualizatec.com\/en\/blog\/firebase-analytics-tutorial-guide\/\">Firebase Analytics<\/a>.<\/li>\n<li class=\"whitespace-normal break-words pl-2\">Economy model (GPT-4o-mini) for simple tasks, premium model (GPT-4o) only for complex tasks<\/li>\n<\/ul>\n<h2 class=\"text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\">How much does it cost to integrate ChatGPT into an app? APIs comparison table [2026].<\/h2>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">One of the most important factors is the cost per token. Here is the <strong>updated comparison as of April 2026<\/strong> of the main AI APIs available for apps:<\/p>\n<div class=\"overflow-x-auto w-full px-2 mb-6\">\n<table class=\"min-w-full border-collapse text-sm leading-[1.7] whitespace-normal\">\n<thead class=\"text-left\">\n<tr>\n<th class=\"text-text-100 border-b-0.5 border-border-300\/60 py-2 pr-4 align-top font-bold\" scope=\"col\">API \/ Model<\/th>\n<th class=\"text-text-100 border-b-0.5 border-border-300\/60 py-2 pr-4 align-top font-bold\" scope=\"col\">Input (per 1M tokens)<\/th>\n<th class=\"text-text-100 border-b-0.5 border-border-300\/60 py-2 pr-4 align-top font-bold\" scope=\"col\">Output (per 1M tokens)<\/th>\n<th class=\"text-text-100 border-b-0.5 border-border-300\/60 py-2 pr-4 align-top font-bold\" scope=\"col\">Max. context<\/th>\n<th class=\"text-text-100 border-b-0.5 border-border-300\/60 py-2 pr-4 align-top font-bold\" scope=\"col\">Best for<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>OpenAI GPT-4o<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$2,50<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$10,00<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">128K<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Complex, multimodal reasoning<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>OpenAI GPT-4o-mini<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$0,15<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$0,60<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">128K<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">High-volume chatbots, rating<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>OpenAI GPT-5.2<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$1,75<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$14,00<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">200K+<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Flagship model, advanced reasoning<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Anthropic Claude Sonnet 4.6<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$3,00<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$15,00<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">1M<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Tasks requiring extensive context<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Anthropic Claude Haiku 4.5<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$1,00<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$5,00<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">200K<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">High volume apps with good quality<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Google Gemini 3.1 Pro<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$2,00<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$12,00<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">1M<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Advanced multimodal, Google ecosystem<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Google Gemini 3 Flash<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$0,50<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$3,00<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">1M<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Speed\/cost balance<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Google Gemini 2.5 Flash-Lite<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$0,10<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">$0,40<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">1M<\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Maximum economy, simple tasks<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\"><strong>Sources:<\/strong> <a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/developers.openai.com\/api\/docs\/pricing\">OpenAI Pricing<\/a> &#8211; <a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/platform.claude.com\/docs\/en\/about-claude\/pricing\">Anthropic Pricing<\/a> &#8211; <a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/pricing\">Google AI Pricing<\/a> &#8211; Data verified as of April 2026.<\/p>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">How much would it cost in practice?<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\"><strong>Example:<\/strong> an app with 10,000 daily active users, where each user makes 3 queries\/day of ~500 input tokens and ~200 output tokens:<\/p>\n<ul class=\"[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3\">\n<li class=\"whitespace-normal break-words pl-2\"><strong>With GPT-4o-mini:<\/strong> ~$0.15 \u00d7 15M input + $0.60 \u00d7 6M output = $2.25 + $3.60 = <strong>~$5.85\/day<\/strong> (~$175\/month)<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>With Gemini Flash-Lite:<\/strong> ~$0.10 \u00d7 15M + $0.40 \u00d7 6M = $1.50 + $2.40 = <strong>~$3.90\/day<\/strong> (~$117\/month)<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>With GPT-4o:<\/strong> ~$2.50 \u00d7 15M + $10 \u00d7 6M = $37.50 + $60 = <strong>~$97.50\/day<\/strong> (~$2,925\/month)<\/li>\n<\/ul>\n<blockquote class=\"ml-2 border-l-4 border-border-300\/10 pl-4 text-text-300\">\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">The difference between choosing the right and wrong model can be <strong>25x in monthly cost<\/strong> for the same volume of usage.<\/p>\n<\/blockquote>\n<hr class=\"border-border-200 border-t-0.5 my-3 mx-1.5\" \/>\n<h2 class=\"text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\">5 common mistakes when integrating AI into apps (and how to avoid them)<\/h2>\n<ol class=\"[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-decimal flex flex-col gap-1 pl-8 mb-3\">\n<li class=\"whitespace-normal break-words pl-2\"><strong>Expose the API key in the frontend.<\/strong> Any user could extract it and generate costs in your account. Always route through your backend.<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>Do not limit <code class=\"bg-text-200\/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]\">max_tokens<\/code>.<\/strong> Without limit, a single response can consume thousands of tokens. Set a reasonable maximum per use case (150-500 tokens for chatbots).<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>Use the most expensive model by default.<\/strong> GPT-4o-mini handles 80% of typical queries with sufficient quality. Reserve GPT-4o or premium models for tasks that really need it.<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>Ignore latency.<\/strong> Mobile users expect responses in &lt; 2 seconds. Implement streaming (server-sent events) so that text appears progressively.<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>Do not validate the AI output.<\/strong> Models can freak out. Add validation, security filters and an option for the user to report errors.<\/li>\n<\/ol>\n<h2><\/h2>\n<h2 class=\"text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\">Case Study: Duolingo Max and the integration of GPT-4 in education<\/h2>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Duolingo is an excellent example of strategic AI integration in apps. With over 133 million monthly active users and 52.7 million daily active users in Q4 2025<a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/investors.duolingo.com\/news-releases\/news-release-details\/duolingo-surpasses-50-million-daily-active-users-grows-dau-36\">(Source: Duolingo Q4\/FY2025 Shareholder Letter<\/a>), the company partnered with OpenAI to launch <strong>Duolingo Max<\/strong>, a premium subscription tier with two AI-powered features:<\/p>\n<ul class=\"[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3\">\n<li class=\"whitespace-normal break-words pl-2\"><strong>&#8220;Explain my Answer&#8221;:<\/strong> upon making a mistake in an exercise, the user can open a chat with Duo to get a detailed explanation of why their answer was correct or incorrect, with additional examples.<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>&#8220;Role Play&#8221;:<\/strong> allows you to practice conversations with AI characters in real-world scenarios (ordering coffee, talking about vacations, buying furniture), receiving feedback on accuracy and complexity.<\/li>\n<\/ul>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-7712\" src=\"https:\/\/actualizatec.com\/wp-content\/uploads\/2026\/01\/duolingo-chatgpt-app.png\" alt=\"duolingo chatgpt app\" width=\"262\" height=\"560\" \/><\/p>\n<h3>What is Duolingo Max&#8217;s &#8220;Explain my Answer&#8221; and &#8220;Role Play&#8221; and how do they use AI?<\/h3>\n<p>Making mistakes is part of the learning process. But in order to really learn, the key is to understand why you made that mistake. The &#8220;Explain my Answer&#8221; feature provides students with the opportunity to get a detailed explanation of why their answer was correct or incorrect. At the touch of a button after certain exercises, students can initiate a chat with Duo, where they will get additional clarification and examples. In addition, each session also has the option to offer an or after receiving the explanation. <strong><img decoding=\"async\" class=\"aligncenter size-full wp-image-7715\" src=\"https:\/\/actualizatec.com\/wp-content\/uploads\/2026\/01\/DuolingoMax_ExplainMyAnswer-2-.gif\" alt=\"chatgpt in apps\" width=\"800\" height=\"800\" \/><\/strong> &#8220;Role Play&#8221; is a feature that allows students to practice their conversational skills in the application with real-world characters. Challenges are presented as &#8220;side missions&#8221; on the learning path and cover a variety of scenarios. Whether it&#8217;s talking about future vacations, ordering coffee at a coffee shop, or shopping for furniture, so students can engage in interactive conversations with GPT-4&#8217;s AI. They then receive feedback on the accuracy and complexity of their answers, as well as tips for future conversations. <img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-7714\" src=\"https:\/\/actualizatec.com\/wp-content\/uploads\/2026\/01\/DuolingoMax_RoleplayReport.gif\" alt=\"duolingo chatgpt\" width=\"800\" height=\"800\" \/><\/p>\n<p style=\"text-align: right;\">SOURCE: <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/openai.com\/customer-stories\/duolingo\">open.ai<\/a><\/p>\n<p>Initially, these features will be available in the Spanish and French courses for English speakers in the iOS app. However, Duolingo plans to expand them to more courses and platforms in the near future, as well as to more countries.<\/p>\n<p>It is critical to note that ChatGPT-4 AI-generated content is reviewed by Duolingo experts to ensure accuracy and proper tone. What if the AI makes a mistake?<\/p>\n<p>We know that technology is never perfect (hey, and neither are humans!). If users find any bugs, they have the option to report them, thus contributing to improve the quality of the system.<\/p>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">Key lessons from the Duolingo case for your app:<\/h3>\n<ol class=\"[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-decimal flex flex-col gap-1 pl-8 mb-3\">\n<li class=\"whitespace-normal break-words pl-2\"><strong>AI solved a real problem:<\/strong> users needed conversational practice, something that standard lessons did not provide.<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>Human review of output:<\/strong> content generated by GPT-4 is reviewed by Duolingo experts before being served.<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>Direct monetization:<\/strong> AI features are behind a premium tier, turning AI into a revenue generator, not just a cost. If you want to explore more models, discover all the <a target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\/\/actualizatec.com\/en\/blog\/how-to-monetize-mobile-app\/\">strategies to monetize your app<\/a>.<\/li>\n<li class=\"whitespace-normal break-words pl-2\"><strong>User feedback:<\/strong> users can report AI errors, feeding a continuous improvement cycle.<\/li>\n<\/ol>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\"><a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/openai.com\/customer-stories\/duolingo\">(Source: OpenAI Customer Story &#8211; Duolingo<\/a>)<\/p>\n<p>AI is revolutionizing the way people acquire new skills and is bringing high-quality education to people around the world. And, above all, it is revolutionizing the world of apps.<\/p>\n<h2 class=\"text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\">Glossary of key terms<\/h2>\n<div class=\"overflow-x-auto w-full px-2 mb-6\">\n<table class=\"min-w-full border-collapse text-sm leading-[1.7] whitespace-normal\">\n<thead class=\"text-left\">\n<tr>\n<th class=\"text-text-100 border-b-0.5 border-border-300\/60 py-2 pr-4 align-top font-bold\" scope=\"col\">Term<\/th>\n<th class=\"text-text-100 border-b-0.5 border-border-300\/60 py-2 pr-4 align-top font-bold\" scope=\"col\">Definition<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>API (Application Programming Interface)<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Interface that allows your app to communicate with an external service such as OpenAI or Google AI. See our <a target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\/\/actualizatec.com\/en\/blog\/what-is-api-application-programming-interface\/\">[complete guide on what an API is].<\/a><\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Token<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Text unit that processes the model. 1 token \u2248 4 characters in English, \u2248 3 characters in Spanish. 1,000 words \u2248 1,300 tokens.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>System prompt<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Initial instruction defining the behavior of the model (role, tone, limits). It is not visible to the end user.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Rate limit<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Limit of requests per minute\/day allowed by the API. Varies by plan and model.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Endpoint<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Specific URL of the API to which you are sending requests (e.g. <code class=\"bg-text-200\/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]\">https:\/\/api.openai.com\/v1\/chat\/completions<\/code>).<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Fine-tuning<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">The process of training a base model with your own data to specialize it in your domain.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Latency<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Time between the user sending a query and receiving the first part of the response.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Streaming<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Technique that sends the response token to token in real time, improving the perception of speed.<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Prompt caching<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Storage of repeated instructions to reduce cost in successive calls (savings up to 90%).<\/td>\n<\/tr>\n<tr>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\"><strong>Batch API<\/strong><\/td>\n<td class=\"border-b-0.5 border-border-300\/30 py-2 pr-4 align-top\">Asynchronous batch request processing with 50% discount, ideal for non-urgent tasks.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<hr class=\"border-border-200 border-t-0.5 my-3 mx-1.5\" \/>\n<h2 class=\"text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\">Frequently Asked Questions (FAQ)<\/h2>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">How much does the ChatGPT API cost to integrate into an app?<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">It depends on the model chosen. The cheapest model for chatbots is GPT-4o-mini ($0.15 per million tokens input, $0.60 output). For an app with 10,000 daily active users and moderate usage, the cost is around $100-200\/month. Premium models like GPT-4o can multiply that cost by 25x<a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/developers.openai.com\/api\/docs\/pricing\">(Source: OpenAI API Pricing, April 2026<\/a>).<\/p>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">Which AI model should I choose for my app?<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">For chatbots and high-volume tasks: GPT-4o-mini or Gemini Flash-Lite. For complex reasoning or premium functions: GPT-4o, Claude Sonnet 4.6 or Gemini 3.1 Pro. The optimal strategy is to use an economic model as default and scale up to a premium model only when necessary (&#8220;cascade&#8221; architecture).<\/p>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">ChatGPT or Claude to integrate into mobile apps?<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Both are excellent options. OpenAI (ChatGPT) has a larger ecosystem and documentation. Anthropic (Claude) offers context windows of up to 1M tokens at standard pricing, ideal for apps that process long documents. Google (Gemini) stands out for its generous free tier and aggressive pricing on Flash models<a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/platform.claude.com\/docs\/en\/about-claude\/pricing\">(Source: Anthropic Pricing<\/a> &#8211; <a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/pricing\">Google AI Pricing<\/a>).<\/p>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">Can AI be integrated into an app without knowing how to program?<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Partially. There are no-code platforms such as Voiceflow, Botpress or FlutterFlow that allow you to create AI chatbots without code. However, for a deep and customized integration, you will need backend development. At <a target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\/\/actualizatec.com\/en\/mobile-apps-development\/\">Actualizatec we can help you with technical development.<\/a><\/p>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">What is the latency of the OpenAI API?<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Varies by model and server load. GPT-4o-mini typically responds in 0.5-1.5 seconds for short responses. GPT-4o can take 2-5 seconds for complex responses. Implementing streaming reduces the perceived latency to &lt; 0.5 seconds.<\/p>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">Is it safe to send user data to the OpenAI API?<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">OpenAI does not use data sent via API to train its models (unlike free chat data). Still, avoid sending sensitive personal data (PII) unnecessarily, and review the data policy of your chosen provider. For maximum privacy, consider open source models like Llama deployed on your own infrastructure.<\/p>\n<h3 class=\"text-text-100 mt-2 -mb-1 text-base font-bold\">What are the alternatives to ChatGPT for apps?<\/h3>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">The main alternatives are: Claude (Anthropic), Gemini (Google), Llama (Meta, open source), Mistral (open source\/cloud) and Grok (xAI). Each has distinct advantages in price, context, multimodality or privacy. The comparison table in this article details prices and use cases.<\/p>\n<hr class=\"border-border-200 border-t-0.5 my-3 mx-1.5\" \/>\n<h2 class=\"text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\">Conclusion: AI is a competitive advantage, not an expense.<\/h2>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">Integrating artificial intelligence into your mobile app is not a matter of &#8220;being trendy&#8221; &#8211; it&#8217;s a strategic decision that can dramatically improve retention, engagement and revenue. The key is to choose the right model for each use case, control costs from design, and apply a methodology like Actualizatec&#8217;s <strong>INTEGRATE Framework<\/strong> to leave nothing to chance.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\"><strong>Thinking about integrating AI into your app?<\/strong> <a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/meetings-eu1.hubspot.com\/meetings\/actualizatec\/reunion-diagnostico-actualizatec\">Schedule a free diagnostic session<\/a> with our team and we will help you define the strategy.<\/p>\n<p class=\"font-claude-response-body break-words whitespace-normal leading-[1.7]\">And if you want to master App Marketing from start to finish, <a target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline underline underline-offset-2 decoration-1 decoration-current\/40 hover:decoration-current focus:decoration-current\" href=\"https:\/\/actualizatec.com\/en\/stellar-app-business\/\">discover our Stellar App Business training program.<\/a><\/p>\n<p>See you in the next post!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Successful case that demonstrates how artificial intelligence can revolutionize the experience of an application. Learn how to implement ChatGPT in an app and see the benefits it can offer to your users. <\/p>\n","protected":false},"author":3,"featured_media":17085,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[271,259,241],"tags":[272,273,274,275],"class_list":["post-17021","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-app-development","category-app-marketing","category-blog","tag-chatgpt","tag-chatgpt-in-apps","tag-duolingo","tag-openai"],"acf":[],"modified_by":"Bernat","_links":{"self":[{"href":"https:\/\/actualizatec.com\/en\/wp-json\/wp\/v2\/posts\/17021","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/actualizatec.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/actualizatec.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/actualizatec.com\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/actualizatec.com\/en\/wp-json\/wp\/v2\/comments?post=17021"}],"version-history":[{"count":0,"href":"https:\/\/actualizatec.com\/en\/wp-json\/wp\/v2\/posts\/17021\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/actualizatec.com\/en\/wp-json\/wp\/v2\/media\/17085"}],"wp:attachment":[{"href":"https:\/\/actualizatec.com\/en\/wp-json\/wp\/v2\/media?parent=17021"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/actualizatec.com\/en\/wp-json\/wp\/v2\/categories?post=17021"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/actualizatec.com\/en\/wp-json\/wp\/v2\/tags?post=17021"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}