{"id":57231,"date":"2026-02-26T11:29:04","date_gmt":"2026-02-26T11:29:04","guid":{"rendered":"https:\/\/www.bravent.net\/news\/"},"modified":"2026-02-26T11:29:04","modified_gmt":"2026-02-26T11:29:04","slug":"buddytravelai-and-the-evolution-of-interfaces-from-chatbots-to-adaptive-agentic-interfaces","status":"publish","type":"post","link":"https:\/\/www.bravent.net\/en\/news\/buddytravelai-and-the-evolution-of-interfaces-from-chatbots-to-adaptive-agentic-interfaces","title":{"rendered":"BuddyTravelAI and the Evolution of Interfaces: From Chatbots to Adaptive Agentic Interfaces"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2 data-start=\"7738\" data-end=\"7759\"><strong data-start=\"7742\" data-end=\"7759\">BuddyTravelAI<\/strong><\/h2>\n<p data-start=\"7761\" data-end=\"7949\">At <strong data-start=\"7764\" data-end=\"7805\"><span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Bravent<\/span><\/span><\/strong>, we have developed <strong data-start=\"7825\" data-end=\"7842\">BuddyTravelAI<\/strong>, an <strong data-start=\"7847\" data-end=\"7881\">intelligent travel recommender<\/strong> built with <a href=\"https:\/\/www.bravent.net\/en\/news\/technology-trends-2026-the-new-horizon-of-business-innovation\/\" target=\"_blank\" rel=\"noopener\"><strong data-start=\"7893\" data-end=\"7902\">AG-UI<\/strong> <\/a>and <a href=\"https:\/\/www.bravent.net\/en\/news\/microsoft-agent-framework-intelligent-agents-and-enterprise-governance\/\" target=\"_blank\" rel=\"noopener\"><strong data-start=\"7907\" data-end=\"7948\"><span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Microsoft Agent Framework<\/span><\/span><\/strong><\/a>.<\/p>\n<p data-start=\"7951\" data-end=\"8167\">BuddyTravelAI is an <strong data-start=\"7971\" data-end=\"7994\">agentic application<\/strong>, meaning that AI is <strong data-start=\"8015\" data-end=\"8044\">not just a chat interface<\/strong>, but a <strong data-start=\"8052\" data-end=\"8082\">true intelligent assistant<\/strong> capable of <strong data-start=\"8094\" data-end=\"8166\">collaborating with you throughout the entire travel planning process<\/strong>.<\/p>\n<p data-start=\"8169\" data-end=\"8432\">This approach represents the <strong data-start=\"8198\" data-end=\"8233\">evolution of digital interfaces<\/strong>: moving from <strong data-start=\"8247\" data-end=\"8271\">traditional chatbots<\/strong> to <strong data-start=\"8275\" data-end=\"8306\">Adaptive Agentic Interfaces<\/strong>, the <strong data-start=\"8312\" data-end=\"8356\">new way of interacting with applications<\/strong>, where the interface dynamically adapts to the agent\u2019s reasoning and state.<\/p>\n<p data-start=\"8434\" data-end=\"8448\">BuddyTravelAI:<\/p>\n<ul data-start=\"8450\" data-end=\"9067\">\n<li data-start=\"8450\" data-end=\"8524\">\n<p data-start=\"8452\" data-end=\"8524\"><strong data-start=\"8452\" data-end=\"8481\">Understands what you need<\/strong> and builds <strong data-start=\"8493\" data-end=\"8521\">step-by-step itineraries<\/strong>.<\/p>\n<\/li>\n<li data-start=\"8525\" data-end=\"8605\">\n<p data-start=\"8527\" data-end=\"8605\"><strong data-start=\"8527\" data-end=\"8570\">Searches for and adjusts accommodations<\/strong> based on <strong data-start=\"8580\" data-end=\"8602\">real user criteria<\/strong>.<\/p>\n<\/li>\n<li data-start=\"8606\" data-end=\"8713\">\n<p data-start=\"8608\" data-end=\"8713\"><strong data-start=\"8608\" data-end=\"8639\">Adapts to your travel style<\/strong>, remembering <strong data-start=\"8653\" data-end=\"8710\">budget, duration, trip type, and personal preferences<\/strong>.<\/p>\n<\/li>\n<li data-start=\"8714\" data-end=\"8782\">\n<p data-start=\"8716\" data-end=\"8782\"><strong data-start=\"8716\" data-end=\"8755\">Automatically updates the interface<\/strong> as the agent progresses.<\/p>\n<\/li>\n<li data-start=\"8783\" data-end=\"8850\">\n<p data-start=\"8785\" data-end=\"8850\"><strong data-start=\"8785\" data-end=\"8812\">Refines recommendations<\/strong> when filters or preferences change.<\/p>\n<\/li>\n<li data-start=\"8851\" data-end=\"8920\">\n<p data-start=\"8853\" data-end=\"8920\"><strong data-start=\"8853\" data-end=\"8885\">Asks for missing information<\/strong> to deliver a more accurate plan.<\/p>\n<\/li>\n<li data-start=\"8921\" data-end=\"9006\">\n<p data-start=\"8923\" data-end=\"9006\">Allows you to <strong data-start=\"8937\" data-end=\"8972\">fine-tune the trip through chat<\/strong>, as if speaking with an expert.<\/p>\n<\/li>\n<li data-start=\"9007\" data-end=\"9067\">\n<p data-start=\"9009\" data-end=\"9067\">Generates an <strong data-start=\"9022\" data-end=\"9066\">itinerary ready to print, save, or share<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"9069\" data-end=\"9194\">Below, we explain <strong data-start=\"9087\" data-end=\"9134\">how BuddyTravelAI is built and how it works<\/strong>, from the perspective of an <strong data-start=\"9163\" data-end=\"9193\">Adaptive Agentic Interface<\/strong>.<\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2 data-start=\"9201\" data-end=\"9241\"><strong data-start=\"9205\" data-end=\"9241\">Core Components of BuddyTravelAI<\/strong><\/h2>\n<p data-start=\"9243\" data-end=\"9301\">BuddyTravelAI is composed of the following key components:<\/p>\n<h4 data-start=\"9303\" data-end=\"9328\"><strong data-start=\"9308\" data-end=\"9328\">1. Frontend (UI)<\/strong><\/h4>\n<p data-start=\"9330\" data-end=\"9548\">The frontend is the <strong data-start=\"9350\" data-end=\"9385\">visible part of the application<\/strong>: buttons, lists, destinations, and progress messages.<br data-start=\"9439\" data-end=\"9442\" \/>Its role goes beyond displaying information\u2014it <strong data-start=\"9489\" data-end=\"9547\">reflects in real time every decision made by the agent<\/strong>.<\/p>\n<p data-start=\"9550\" data-end=\"9750\">Thanks to <strong data-start=\"9560\" data-end=\"9569\">AG-UI<\/strong>, the interface is <strong data-start=\"9588\" data-end=\"9602\">not static<\/strong>: it <strong data-start=\"9607\" data-end=\"9632\">updates automatically<\/strong> based on agent-generated events, showing progress, intermediate states, and new recommendations as they are produced.<\/p>\n<h4 data-start=\"9757\" data-end=\"9803\"><strong data-start=\"9762\" data-end=\"9803\">2. Backend: Microsoft Agent Framework<\/strong><\/h4>\n<p data-start=\"9805\" data-end=\"9949\">The backend is the <strong data-start=\"9824\" data-end=\"9852\">brain of the application<\/strong>.<br data-start=\"9853\" data-end=\"9856\" \/>It receives user requests, processes them, and returns structured responses to the interface.<\/p>\n<p data-start=\"9951\" data-end=\"10101\">This is where the <strong data-start=\"9969\" data-end=\"9984\">agent lives<\/strong>, responsible for <strong data-start=\"10002\" data-end=\"10100\">reasoning, remembering preferences, maintaining context, and generating travel recommendations<\/strong>.<\/p>\n<p data-start=\"10103\" data-end=\"10237\">The backend is built in <strong data-start=\"10127\" data-end=\"10135\">.NET<\/strong> using <strong data-start=\"10142\" data-end=\"10177\">Microsoft Agent Framework (MAF)<\/strong>, Microsoft\u2019s framework for building <strong data-start=\"10214\" data-end=\"10236\">advanced <a href=\"https:\/\/www.bravent.net\/en\/services\/artificial-intelligence\/\" target=\"_blank\" rel=\"noopener\">AI<\/a> agents<\/strong>.<\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2 data-start=\"10244\" data-end=\"10314\"><strong data-start=\"10248\" data-end=\"10314\">What Does Microsoft Agent Framework Do Inside the Application?<\/strong><\/h2>\n<p data-start=\"10316\" data-end=\"10350\"><strong data-start=\"10321\" data-end=\"10350\">1. Step-by-step reasoning: <\/strong>MAF allows the agent to process a traveler\u2019s request as a <strong data-start=\"10410\" data-end=\"10439\">structured reasoning flow<\/strong>, not as an isolated message.<\/p>\n<p data-start=\"10470\" data-end=\"10653\">The agent analyzes the <strong data-start=\"10493\" data-end=\"10508\">destination<\/strong>, <strong data-start=\"10510\" data-end=\"10523\">trip type<\/strong>, and <strong data-start=\"10529\" data-end=\"10541\">duration<\/strong>, compares options, and generates <strong data-start=\"10575\" data-end=\"10603\">personalized itineraries<\/strong>, adjusting results according to user preferences.<\/p>\n<p data-start=\"10660\" data-end=\"10686\"><strong data-start=\"10665\" data-end=\"10686\">2. AI model usage: <\/strong>MAF enables the agent to connect to <strong data-start=\"10724\" data-end=\"10765\"><span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\"><a href=\"https:\/\/www.bravent.net\/en\/services\/azure-cloud-computing\/\" target=\"_blank\" rel=\"noopener\">Azure<\/a> OpenAI<\/span><\/span><\/strong> to process user requests and generate intelligent responses.<\/p>\n<p data-start=\"10833\" data-end=\"10867\"><strong data-start=\"10838\" data-end=\"10867\">3. Agent memory and state: <\/strong>A defining characteristic of <strong data-start=\"10898\" data-end=\"10929\">Adaptive Agentic Interfaces<\/strong> is <strong data-start=\"10933\" data-end=\"10943\">memory<\/strong>.<\/p>\n<p data-start=\"10946\" data-end=\"11123\">The agent can <strong data-start=\"10960\" data-end=\"11041\">retain and recall relevant information throughout the entire planning process<\/strong> thanks to <strong data-start=\"11052\" data-end=\"11070\">agent sessions<\/strong> and an <strong data-start=\"11078\" data-end=\"11106\">integrated memory system<\/strong> provided by MAF.<\/p>\n<p data-start=\"11125\" data-end=\"11332\">These sessions store <strong data-start=\"11146\" data-end=\"11167\">state and context<\/strong>, including preferences, applied filters, chat interactions, and itinerary progress\u2014allowing the agent to <strong data-start=\"11273\" data-end=\"11304\">reason coherently over time<\/strong> without losing information.<\/p>\n<p data-start=\"11339\" data-end=\"11396\"><strong data-start=\"11344\" data-end=\"11396\">4. Emitting AG-UI events to update the interface: <\/strong>Communication between frontend and backend is based on an <strong data-start=\"11456\" data-end=\"11487\">event-driven AG-UI protocol<\/strong>.<\/p>\n<p data-start=\"11490\" data-end=\"11717\">This keeps the agent and the interface <strong data-start=\"11529\" data-end=\"11564\">fully synchronized in real time<\/strong>.<br data-start=\"11565\" data-end=\"11568\" \/>When the agent updates something\u2014such as <em data-start=\"11609\" data-end=\"11636\">\u201csearching destinations\u2026\u201d<\/em>, <em data-start=\"11638\" data-end=\"11660\">\u201canalyzing weather\u2026\u201d<\/em>, or generating new options\u2014the UI reflects it instantly.<\/p>\n<p data-start=\"11719\" data-end=\"11814\">MAF enables the agent to <strong data-start=\"11744\" data-end=\"11765\">emit these events<\/strong>, making a <strong data-start=\"11776\" data-end=\"11804\">live, adaptive interface<\/strong> possible.<\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2 data-start=\"5656\" data-end=\"5686\"><strong data-start=\"5659\" data-end=\"5686\">How BuddyTravelAI Works<\/strong><\/h2>\n<p data-start=\"5688\" data-end=\"5800\">BuddyTravelAI is designed as an <strong data-start=\"5720\" data-end=\"5744\">intelligent co-pilot<\/strong> that guides users through travel planning step by step.<\/p>\n<p data-start=\"5802\" data-end=\"5839\"><strong data-start=\"5806\" data-end=\"5839\">1. Enter the trip destination: <\/strong>At the top of the application, you enter the trip title, such as <em data-start=\"5906\" data-end=\"5936\">\u201cTrip to Bali \u2013 Spring 2026\u201d<\/em> or <em data-start=\"5940\" data-end=\"5957\">\u201cParis Getaway\u201d<\/em>.<br data-start=\"5958\" data-end=\"5961\" \/>BuddyTravelAI automatically detects the <strong data-start=\"6001\" data-end=\"6016\">destination<\/strong> from the title.<\/p>\n<p data-start=\"6039\" data-end=\"6072\"><strong data-start=\"6043\" data-end=\"6072\">2. Add basic trip details: <\/strong>Next, you define two essential elements:<\/p>\n<ul data-start=\"6116\" data-end=\"6206\">\n<li data-start=\"6116\" data-end=\"6154\">\n<p data-start=\"6118\" data-end=\"6154\"><strong data-start=\"6118\" data-end=\"6135\">Trip duration<\/strong> (number of days)<\/p>\n<\/li>\n<li data-start=\"6155\" data-end=\"6206\">\n<p data-start=\"6157\" data-end=\"6206\"><strong data-start=\"6157\" data-end=\"6170\">Trip type<\/strong> (romantic, adventure, family, etc.)<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"6213\" data-end=\"6242\"><strong data-start=\"6217\" data-end=\"6242\">3. Submit the request: <\/strong>When you click the plan button:<\/p>\n<ul data-start=\"6277\" data-end=\"6490\">\n<li data-start=\"6277\" data-end=\"6347\">\n<p data-start=\"6279\" data-end=\"6347\">The agent analyzes the <strong data-start=\"6302\" data-end=\"6345\">destination, duration, and travel style<\/strong><\/p>\n<\/li>\n<li data-start=\"6348\" data-end=\"6401\">\n<p data-start=\"6350\" data-end=\"6401\">Generates a <strong data-start=\"6362\" data-end=\"6399\">personalized day-by-day itinerary<\/strong><\/p>\n<\/li>\n<li data-start=\"6402\" data-end=\"6490\">\n<p data-start=\"6404\" data-end=\"6490\">Provides <strong data-start=\"6413\" data-end=\"6447\">general travel recommendations<\/strong> such as activities, tips, and key places<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"6497\" data-end=\"6537\"><strong data-start=\"6501\" data-end=\"6537\">4. Add accommodation preferences: <\/strong>In the accommodation preferences section, you can specify:<\/p>\n<ul data-start=\"6599\" data-end=\"6802\">\n<li data-start=\"6599\" data-end=\"6621\">\n<p data-start=\"6601\" data-end=\"6621\">Accommodation type<\/p>\n<\/li>\n<li data-start=\"6622\" data-end=\"6637\">\n<p data-start=\"6624\" data-end=\"6637\">Price range<\/p>\n<\/li>\n<li data-start=\"6638\" data-end=\"6656\">\n<p data-start=\"6640\" data-end=\"6656\">Minimum rating<\/p>\n<\/li>\n<li data-start=\"6657\" data-end=\"6669\">\n<p data-start=\"6659\" data-end=\"6669\">Location<\/p>\n<\/li>\n<li data-start=\"6670\" data-end=\"6714\">\n<p data-start=\"6672\" data-end=\"6714\">Board type (breakfast, half board, etc.)<\/p>\n<\/li>\n<li data-start=\"6715\" data-end=\"6738\">\n<p data-start=\"6717\" data-end=\"6738\">Number of travelers<\/p>\n<\/li>\n<li data-start=\"6739\" data-end=\"6802\">\n<p data-start=\"6741\" data-end=\"6802\">Services (kitchen, private bathroom, free cancellation, etc.)<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"6804\" data-end=\"6935\">BuddyTravelAI analyzes your profile, <strong data-start=\"6841\" data-end=\"6882\">automatically updates recommendations<\/strong>, and suggests <strong data-start=\"6897\" data-end=\"6934\">hotels aligned with your criteria<\/strong>.<\/p>\n<p data-start=\"6942\" data-end=\"6981\"><strong data-start=\"6946\" data-end=\"6981\">5. Make the plan truly personal: <\/strong>Beyond essential travel and accommodation data, you can add <strong data-start=\"7043\" data-end=\"7070\">additional requirements<\/strong> to further refine the plan.<\/p>\n<p data-start=\"7100\" data-end=\"7249\">These requirements may relate to <strong data-start=\"7133\" data-end=\"7203\">activities, transportation, accommodation, or personal preferences<\/strong> (for example: <em data-start=\"7218\" data-end=\"7247\">\u201cAdd an extra day for rest\u201d<\/em>).<\/p>\n<p data-start=\"7251\" data-end=\"7384\">Each new requirement triggers a <strong data-start=\"7283\" data-end=\"7303\">real-time update<\/strong> of the itinerary and recommendations, adapting the trip precisely to your needs.<\/p>\n<p data-start=\"7391\" data-end=\"7443\"><strong data-start=\"7395\" data-end=\"7443\">6. The right-side chat: your travel co-pilot: <\/strong>On the right side of the interface, an integrated chat allows you to continue refining your trip.<\/p>\n<p data-start=\"7544\" data-end=\"7736\">Simply type what you need\u2014<br data-start=\"7570\" data-end=\"7573\" \/><em data-start=\"7573\" data-end=\"7597\">\u201cShow cheaper options\u201d<\/em>, <em data-start=\"7599\" data-end=\"7626\">\u201cAdd activities for kids\u201d<\/em>, <em data-start=\"7628\" data-end=\"7657\">\u201cCloser to the city center\u201d<\/em>, <em data-start=\"7659\" data-end=\"7686\">\u201cFind a hotel with a spa\u201d<\/em>\u2014<br data-start=\"7687\" data-end=\"7690\" \/>and BuddyTravelAI adapts the plan accordingly.<\/p>\n<p data-start=\"7738\" data-end=\"7824\">This chat is not a chatbot, but a <strong data-start=\"7772\" data-end=\"7808\">continuous collaboration channel<\/strong> with the agent.<\/p>\n<p data-start=\"7831\" data-end=\"7876\"><strong data-start=\"7835\" data-end=\"7876\">7. A tailor-made plan, ready to print: <\/strong>Finally, the application allows you to export your itinerary as a <strong data-start=\"7944\" data-end=\"7960\">PDF document<\/strong>, ready to save, carry with you, or easily share with your travel companions.<\/p>\n<\/div>[vc_empty_space][vc_video link=&#8221;https:\/\/www.youtube.com\/watch?v=nOCNAS8RXLM&#8221; align=&#8221;center&#8221; css=&#8221;&#8221;][vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2 data-start=\"8044\" data-end=\"8061\"><strong data-start=\"8047\" data-end=\"8061\">Conclusion<\/strong><\/h2>\n<p data-start=\"8063\" data-end=\"8110\">BuddyTravelAI is not just a travel application.<\/p>\n<p data-start=\"8112\" data-end=\"8225\">It is a concrete example of how <strong data-start=\"8144\" data-end=\"8175\">Adaptive Agentic Interfaces<\/strong> are redefining the way we interact with software.<\/p>\n<p data-start=\"8227\" data-end=\"8294\">This is not about talking to AI.<br data-start=\"8259\" data-end=\"8262\" \/>It is about <strong data-start=\"8274\" data-end=\"8293\">working with it<\/strong>.<\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section>[vc_section]<section class=\"vc_row wpb_row vc_row-fluid  vc_custom_1750923353325 vc_row-has-fill vc_column-gap-15 vc_row-o-content-middle vc_row-flex\"><div class=\"wpb_column vc_column_container vc_col-sm-6  col-xs-mobile-fullwidth text-right md-text-right sm-text-right xs-text-center\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\">[vc_single_image image=&#8221;57252&#8243; img_size=&#8221;128&#215;128&#8243; alignment=&#8221;center&#8221; style=&#8221;vc_box_circle_2&#8243; css=&#8221;&#8221; el_class=&#8221;align-inherit&#8221;]<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-6  col-xs-mobile-fullwidth xs-text-center\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><h3 class=\"text-extra-dark-gray margin-20px-bottom font-weight-600 display-block heading-style2  vc_custom_1772105086778  heading-1\"  style=\"font-size: 20px; font-weight: 400;\" data-fontsize=\"20px\">Mar\u00eda Mart\u00edn<\/h3><span class=\"text-extra-dark-gray margin-20px-bottom font-weight-600 display-block heading-style2  vc_custom_1772105114573  heading-2\"  style=\"font-size: 16px; font-weight: 400; color: #7a7a7a;\" data-fontsize=\"16px\">Programadora Web Full Stack Junior y Webmaster Senior - Bravent<\/span><div  class=\"pofo-social-links social-icon-style-8 social-icon-1\"><ul class=\"small-icon\"><li><a class=\"linkedin-in\" href=\"https:\/\/www.linkedin.com\/in\/mmarmedina-developer\/\" target=\"_blank\"><i class=\"fa-brands fa-linkedin-in\"><\/i><\/a><\/li><\/ul><\/div><\/div><\/div><\/div><\/section>[\/vc_section]<section data-vc-full-width=\"true\" data-vc-full-width-init=\"false\" data-vc-stretch-content=\"true\" class=\"vc_row wpb_row vc_row-fluid  vc_custom_1646385956017 wow fadeIn pofo-stretch-content vc_row-no-padding vc_row-o-equal-height vc_row-flex\"><div class=\"wpb_column vc_column_container vc_col-has-fill vc_col-sm-6 vc_col-xs-12 wow fadeInRight text-center md-text-center sm-text-center xs-text-center pofo-column-responsive-6ab4027238c1a\"><div class=\"vc_column-inner vc_custom_1645690236245\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-has-fill vc_col-sm-6  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner vc_custom_1646385945523\"><div class=\"wpb_wrapper\">[vc_widget_sidebar sidebar_id=&#8221;contact-form-en&#8221;]<\/div><\/div><\/div><\/section><div class=\"vc_row-full-width vc_clearfix\"><\/div><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><\/section>[vc_section][\/vc_section]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>BuddyTravelAI is an example of the evolution of interfaces: from traditional chatbots to Adaptive Agentic Interfaces that reason, remember, and act in real time.<\/p>\n","protected":false},"author":15,"featured_media":57247,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[743,736],"tags":[948,941,737,763,569,932,927,557,864],"class_list":["post-57231","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bravent-en","category-news-en","tag-business-strategy","tag-data-en","tag-digitalizacion-en","tag-innovacion-en","tag-microsoft-en","tag-microsoft-partner-en","tag-partnership","tag-security","tag-technology-en"],"yoast_head":"<!-- This site is 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