{"id":2523,"date":"2026-10-01T08:46:17","date_gmt":"2026-10-01T08:46:17","guid":{"rendered":"https:\/\/grupotisa.com\/casos-ca\/interficies-agentiques-components-ia-blazor\/"},"modified":"2026-10-01T08:46:17","modified_gmt":"2026-10-01T08:46:17","slug":"interficies-agentiques-components-ia-blazor","status":"publish","type":"post","link":"https:\/\/grupotisa.com\/ca\/it-consulting\/interficies-agentiques-components-ia-blazor\/","title":{"rendered":"Interf\u00edcies ag\u00e8ntiques: la nova UI de les apps amb IA"},"content":{"rendered":"<p>Durant els darrers dos anys, gaireb\u00e9 tot el que hem vist d&#8217;IA en aplicacions d&#8217;empresa s&#8217;assemblava al mateix: una finestra de xat en un rac\u00f3. \u00datil per resoldre dubtes, poc \u00fatil per treballar. El seg\u00fcent pas ja \u00e9s aqu\u00ed i t\u00e9 un nom t\u00e8cnic una mica \u00e0rid per\u00f2 una idea molt clara al darrere: la <strong>UI ag\u00e8ntica amb Blazor<\/strong>, \u00e9s a dir, interf\u00edcies on un agent d&#8217;IA no nom\u00e9s respon, sin\u00f3 que executa tasques de diversos passos, proposa canvis i col\u00b7labora amb l&#8217;usuari dins de la mateixa aplicaci\u00f3. Microsoft ha publicat els nous components d&#8217;IA per a Blazor al blog oficial de .NET (devblogs.microsoft.com\/dotnet\/build-agentic-ui-blazor), i creiem que mereix una lectura en clau de negoci.<\/p>\n<h2>Del chatbot que contesta a l&#8217;agent que fa<\/h2>\n<p>Un chatbot retorna text. Un <strong>agent<\/strong> recopila context, invoca eines (consultar un estoc, reservar una cita, generar un document), proposa un pla i va avan\u00e7ant pas a pas juntament amb la persona.<\/p>\n<p>Aquest salt porta tres problemes de disseny que qualsevol que hagi provat de posar IA en una aplicaci\u00f3 de gesti\u00f3 reconeixer\u00e0 a l&#8217;instant:<\/p>\n<ul>\n<li><strong>La resposta arriba a trossos.<\/strong> L&#8217;usuari veu text apareixent i no sap si el sistema est\u00e0 pensant, esperant o s&#8217;ha penjat.<\/li>\n<li><strong>Falta visibilitat i control.<\/strong> Si l&#8217;agent llan\u00e7ar\u00e0 una comanda o enviar\u00e0 un correu a un client, alg\u00fa ha de poder aprovar-ho o cancel\u00b7lar-ho.<\/li>\n<li><strong>L&#8217;estat \u00e9s compartit.<\/strong> El document, el pressupost o la planificaci\u00f3 els toquen alhora la persona i l&#8217;agent. Qui mana?<\/li>\n<\/ul>\n<p>La resposta habitual \u2014muntar tot aix\u00f2 a m\u00e0 amb JavaScript i peda\u00e7os\u2014 \u00e9s cara de construir i m\u00e9s cara de mantenir. Aqu\u00ed \u00e9s on entra la proposta de Microsoft.<\/p>\n<h2>Qu\u00e8 aporta la UI ag\u00e8ntica amb Blazor<\/h2>\n<p>Els nous components (paquet en versi\u00f3 preliminar, sobre .NET 11, segons l&#8217;article original) converteixen la conversa amb un agent en <strong>blocs de contingut<\/strong> i en <strong>estat observable<\/strong> que l&#8217;aplicaci\u00f3 pot pintar i controlar com qualsevol altre component Blazor. En cristi\u00e0: la IA deixa de ser una caixa negra amb text a dins i passa a ser informaci\u00f3 estructurada que la teva aplicaci\u00f3 representa com vulgui.<\/p>\n<h3>Les peces, sense tecnicismes<\/h3>\n<ul>\n<li>Un component de xat complet per arrencar en minuts, amb llista de missatges, entrada de text, estat de la resposta i reintents.<\/li>\n<li>Blocs tipats per a cada tipus de contingut: text enriquit, crides a eines, aprovacions pendents, accions a la mateixa interf\u00edcie.<\/li>\n<li>Components de baix nivell per quan vols una pantalla pr\u00f2pia i no un xat: la IA alimenta el teu disseny, no al rev\u00e9s.<\/li>\n<li>Connexi\u00f3 amb agents remots mitjan\u00e7ant AG-UI, un protocol obert d&#8217;esdeveniments entre agents i aplicacions, juntament amb l&#8217;ecosistema .NET habitual (ASP.NET Core, Microsoft Agent Framework, Aspire).<\/li>\n<\/ul>\n<p>La conseq\u00fc\u00e8ncia pr\u00e0ctica per a una empresa: l&#8217;agent pot viure en un servidor, la interf\u00edcie a l&#8217;aplicaci\u00f3 web, i tots dos parlar-se amb un est\u00e0ndard en lloc d&#8217;amb una integraci\u00f3 artesanal i irrepetible.<\/p>\n<h2>Cinc patrons que s\u00ed que es tradueixen en valor<\/h2>\n<p>L&#8217;article de Microsoft descriu diversos escenaris d&#8217;exemple. Aquests s\u00f3n els que, al nostre parer, m\u00e9s r\u00e0pid es converteixen en benefici real:<\/p>\n<p><strong>1. Resposta estructurada, no un mur de text.<\/strong> El contingut que va arribant es transforma en par\u00e0grafs, llistes o taules ben formatades. Sembla cosm\u00e8tic; no ho \u00e9s. Un usuari que ent\u00e9n d&#8217;un cop d&#8217;ull el que veu, decideix m\u00e9s r\u00e0pid.<\/p>\n<p><strong>2. Resultats d&#8217;eines renderitzats com a interf\u00edcie.<\/strong> Si l&#8217;agent consulta una previsi\u00f3 meteorol\u00f2gica, el disponible d&#8217;un article o l&#8217;hist\u00f2ric d&#8217;un client, l&#8217;aplicaci\u00f3 no mostra un JSON: mostra una fitxa, una targeta o una taula amb el disseny de la casa. I mentre es resol, mostra l&#8217;estat &quot;consultant\u2026&quot;.<\/p>\n<p><strong>3. Accions al mateix navegador.<\/strong> L&#8217;agent pot demanar a l&#8217;aplicaci\u00f3 que navegui a una pantalla, obri un di\u00e0leg o filtri un llistat. La conversa i l&#8217;aplicaci\u00f3 deixen de ser dos mons separats.<\/p>\n<p><strong>4. Persona en el circuit (human-in-the-loop).<\/strong> Per a accions amb conseq\u00fc\u00e8ncies \u2014confirmar una reserva, aprovar una comanda, enviar una comunicaci\u00f3\u2014 l&#8217;agent s&#8217;atura i espera un <strong>Aprovar<\/strong> o <strong>Rebutjar<\/strong>. Aquest \u00e9s, probablement, el punt m\u00e9s important per a una direcci\u00f3 que avalua IA: l&#8217;agent proposa, la persona disposa, i tot queda tra\u00e7at.<\/p>\n<p><strong>5. Estat compartit i canvis en revisi\u00f3.<\/strong> Usuari i agent treballen sobre el mateix document. L&#8217;agent pot proposar una nova versi\u00f3 que es mostra com un esborrany comparat amb l&#8217;original; si s&#8217;accepta, es consolida; si no, es descarta. Res es modifica d&#8217;esquena a ning\u00fa.<\/p>\n<h2>Un exemple aterrat<\/h2>\n<p>Imagina un configurador de pressupostos en una distribu\u00efdora. El comercial escriu: &quot;prepara una oferta per a aquest client amb el material de l&#8217;obra de la setmana passada, aplicant la seva tarifa&quot;. L&#8217;agent consulta l&#8217;hist\u00f2ric i les tarifes, proposa les l\u00ednies, mostra l&#8217;esborrany al costat del pressupost actual i marca en groc el que ha canviat. El comercial ajusta dos preus, accepta i nom\u00e9s llavors el document es grava a l&#8217;ERP.<\/p>\n<p>Aquest flux \u00e9s exactament el patr\u00f3 d&#8217;estat compartit m\u00e9s aprovaci\u00f3 expl\u00edcita. I encaixa en sectors on ja treballem: distribuci\u00f3, retail, construcci\u00f3, ind\u00fastria aliment\u00e0ria, hostaleria o gesti\u00f3 de flotes.<\/p>\n<h2>Abans de llan\u00e7ar-se: quatre cauteles honestes<\/h2>\n<ol>\n<li><strong>\u00c9s tecnologia en versi\u00f3 preliminar.<\/strong> Els components s\u00f3n experimentals i l&#8217;API pot canviar. Val per a prototips i pilots ben acotats, no necess\u00e0riament per al nucli cr\u00edtic de l&#8217;operaci\u00f3 a dia d&#8217;avui.<\/li>\n<li><strong>Sense dades endre\u00e7ades no hi ha agent que valgui.<\/strong> Si el mestre d&#8217;articles o l&#8217;hist\u00f2ric de clients estan bruts, la IA amplificar\u00e0 el desordre. La governan\u00e7a de dades \u00e9s la feina pr\u00e8via, no un extra.<\/li>\n<li><strong>Comen\u00e7a per un cas d&#8217;\u00fas mesurable.<\/strong> No &quot;volem IA&quot;: volem reduir el temps d&#8217;elaboraci\u00f3 d&#8217;ofertes o els errors en la introducci\u00f3 de comandes. Amb una m\u00e8trica abans i despr\u00e9s.<\/li>\n<li><strong>Dissenya els l\u00edmits des del principi.<\/strong> Qu\u00e8 pot fer l&#8217;agent sol, qu\u00e8 requereix aprovaci\u00f3 i qu\u00e8 queda fora. Aquesta conversa \u00e9s de negoci, no d&#8217;inform\u00e0tica.<\/li>\n<\/ol>\n<h2>Com ho abordem a Tisa<\/h2>\n<p>Fa des de 1987 que desenvolupem programari de gesti\u00f3 i, com a partner Microsoft i ISV, combinem <strong>desenvolupament a mida<\/strong>, <strong>Power Platform<\/strong> i <strong>projectes d&#8217;IA aplicada<\/strong> sobre una base de dades ben governada. El nostre enfocament amb la UI ag\u00e8ntica \u00e9s el mateix de sempre: identificar un cas d&#8217;\u00fas concret, validar que les dades el sostenen i construir una primera versi\u00f3 que es pugui mesurar.<\/p>\n<p>Tens una aplicaci\u00f3 de gesti\u00f3 on un assistent que <em>faci<\/em> coses \u2014i demani perm\u00eds abans de les importants\u2014 estalviaria hores cada setmana? Parlem-ne sense comprom\u00eds: <strong>(+34) 971 305 885<\/strong> o <strong>info@grupotisa.com<\/strong>. T&#8217;ajudem a separar el que ja \u00e9s viable del que encara \u00e9s promesa.<\/p>\n<p><em>Font: blog de desenvolupament de .NET, Microsoft \u2014 &quot;Build Agentic UI with the new Blazor AI components&quot; (devblogs.microsoft.com).<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Interf\u00edcies ag\u00e8ntiques: qu\u00e8 s\u00f3n, qu\u00e8 aporten els nous components d&#8217;IA per a Blazor i com aplicar-les a processos reals de la teva empresa.<\/p>\n","protected":false},"author":3,"featured_media":2519,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43],"tags":[465,469,467,468,74,466],"class_list":["post-2523","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-it-consulting","tag-blazor","tag-chatbots-web","tag-components-ia","tag-desenvolupament-net","tag-intelligencia-artificial","tag-ui-agentica"],"yoast_head":"<!-- This site is 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