[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"portal-settings:stajic:sr":3,"public-menus:all":38,"post:google-io-2026-agentic-products-search-workspace-and-shopping:sr":205,"related:post:google-io-2026-agentic-products-search-workspace-and-shopping:sr:1":673},{"statusCode":4,"data":5,"message":37},200,{"tenantId":6,"lang":7,"defaultLang":8,"siteUrl":9,"contactEmail":10,"brandName":11,"logoUrl":12,"siteName":11,"siteDescription":13,"ogImage":10,"robotsIndex":14,"socialLinks":10,"reservedSlugs":10,"seoPolicy":15},"stajic","sr","de","https:\u002F\u002Fstajic.de",null,"Stajic Platform","\u002FLogo_Planet.svg","Stajic Portal",true,{"branding":16,"relatedContent":17,"crossDomainLinks":18},{"logoUrl":12},{"enabled":14},[19,22,25,28,31,34],{"url":20,"label":21,"isActive":14,"showInFooter":14,"includeInSameAs":14},"https:\u002F\u002Ffigure.rocks","figure.rocks",{"url":23,"label":24,"isActive":14,"showInFooter":14,"includeInSameAs":14},"https:\u002F\u002Floving.rocks","loving.rocks",{"url":26,"label":27,"isActive":14,"showInFooter":14,"includeInSameAs":14},"https:\u002F\u002Fbazify.com","bazify.com",{"url":29,"label":30,"isActive":14,"showInFooter":14,"includeInSameAs":14},"https:\u002F\u002Fbazify.de","bazify.de",{"url":32,"label":33,"isActive":14,"showInFooter":14,"includeInSameAs":14},"https:\u002F\u002Fbazify.at","bazify.at",{"url":35,"label":36,"isActive":14,"showInFooter":14,"includeInSameAs":14},"https:\u002F\u002Fbazify.ba","bazify.ba","Portal settings resolved",[39,45],{"id":40,"name":41,"location":42,"isActive":14,"isDefault":43,"items":44},1,"main-navigation","header",false,[],{"id":46,"name":47,"location":48,"isActive":14,"isDefault":14,"items":49},4,"main-menu","sidebar",[50,66,79,93,103,118,133],{"id":51,"title":52,"url":60,"target":61,"icon":62,"isActive":14,"type":63,"productId":10,"categoryId":10,"shopCategoryId":10,"articleId":10,"pageId":64,"portfolioId":10,"children":65},"item-18",{"de":53,"en":54,"es":55,"fr":56,"it":54,"ru":57,"sr":58,"zh":59},"Startseite","Home","Inicio","Accueil","Главная","Почетна","首页","\u002Ffull-stack-web-developer-munich-performance-seo-and-maintainable-builds","_self","i-lucide-home","page",111,[],{"id":67,"title":68,"url":75,"target":61,"icon":76,"isActive":14,"type":63,"productId":10,"categoryId":10,"shopCategoryId":10,"articleId":10,"pageId":77,"portfolioId":10,"children":78},"item-22",{"de":69,"en":69,"es":70,"fr":69,"it":71,"ru":72,"sr":73,"zh":74},"Vision","Visión","Visione","Видение","Визија","想象","\u002Fueber-uns-webdesign-muenchen-webaplikation","i-lucide-eye",113,[],{"id":80,"title":81,"url":89,"target":61,"icon":90,"isActive":14,"type":63,"productId":10,"categoryId":10,"shopCategoryId":10,"articleId":10,"pageId":91,"portfolioId":10,"children":92},"item-19",{"de":82,"en":83,"es":84,"fr":83,"it":85,"ru":86,"sr":87,"zh":88},"Leistungen","Services","Servicios","Servizi","Услуги","Услуге","服务","\u002Fservices-dienstleistungen-muenchen","i-lucide-wrench",116,[],{"id":94,"title":95,"url":99,"target":61,"icon":100,"isActive":14,"type":63,"productId":10,"categoryId":10,"shopCategoryId":10,"articleId":10,"pageId":101,"portfolioId":10,"children":102},"item-23",{"de":96,"en":96,"es":96,"fr":96,"it":96,"ru":97,"sr":97,"zh":98},"Blog","Блог","博客","\u002Fblog","i-lucide-book-open",112,[],{"id":104,"title":105,"url":114,"target":61,"icon":115,"isActive":14,"type":63,"productId":10,"categoryId":10,"shopCategoryId":10,"articleId":10,"pageId":116,"portfolioId":10,"children":117},"item-32",{"de":106,"en":107,"es":108,"fr":109,"it":110,"ru":111,"sr":112,"zh":113},"Neue Technologien","New Technologies","Nuevas tecnologías","Nouvelles technologies","Nuove tecnologie","Новые технологии","Нове технологије","新技术！","\u002Fneue-webtechnologien","i-lucide-sparkles",122,[],{"id":119,"title":120,"url":129,"target":61,"icon":130,"isActive":14,"type":63,"productId":10,"categoryId":10,"shopCategoryId":10,"articleId":10,"pageId":131,"portfolioId":10,"children":132},"item-20",{"de":121,"en":122,"es":123,"fr":124,"it":125,"ru":126,"sr":127,"zh":128},"Kontakt","Contact us!","Contacto","Contact","Contatto","Контакт","Контактирајте нас","联系我们！","\u002Fcontact","i-lucide-mail",115,[],{"id":134,"title":135,"url":144,"target":61,"icon":145,"isActive":14,"type":63,"productId":10,"categoryId":10,"shopCategoryId":10,"articleId":10,"pageId":146,"portfolioId":10,"children":147},"item-21",{"de":136,"en":137,"es":138,"fr":139,"it":140,"ru":141,"sr":142,"zh":143},"Unsere Arbeit","Our Work","Nuestro trabajo","Nos réalisations","I nostri lavori","Наши работы","Наши радови","文件夹","\u002Fportfolio","i-lucide-briefcase",114,[148,161,175,181,193],{"id":149,"title":150,"url":144,"target":61,"icon":159,"isActive":14,"type":63,"productId":10,"categoryId":10,"shopCategoryId":10,"articleId":10,"pageId":146,"portfolioId":10,"children":160},"item-24",{"de":151,"en":152,"es":153,"fr":154,"it":155,"ru":156,"sr":157,"zh":158},"Alle Projekte","All Projects","Todos los proyectos","Tous les projets","Tutti i progetti","Все проекты","Сви пројекти","所有项目","i-lucide-grid-3x3",[],{"id":162,"title":163,"url":171,"target":61,"icon":172,"isActive":14,"type":173,"productId":10,"categoryId":10,"shopCategoryId":10,"articleId":10,"pageId":10,"portfolioId":10,"children":174},"item-29",{"de":164,"en":165,"es":166,"fr":167,"it":168,"ru":169,"sr":170,"zh":143},"Local Roots, Global Reach","Local Roots - Global Reach","Empresa local ","Entreprise locale","Azienda locale","Местная компания","Локално предузеће глобално тржиште","\u002Fportfolio\u002Flocal-roots-global-reach-communication-media-systems-for-modern-business","i-lucide-folder","custom",[],{"id":176,"title":177,"url":179,"target":61,"icon":172,"isActive":14,"type":173,"productId":10,"categoryId":10,"shopCategoryId":10,"articleId":10,"pageId":10,"portfolioId":10,"children":180},"item-28",{"de":178,"en":178,"es":178,"fr":178,"it":178,"ru":178,"sr":178,"zh":178},"Solr Suggester","\u002Fportfolio\u002Fsolr-fuzzy-suggester-und-solr-infix-suggester-abfrage-ueber-ajax-und-filterung",[],{"id":182,"title":183,"url":191,"target":61,"icon":172,"isActive":14,"type":173,"productId":10,"categoryId":10,"shopCategoryId":10,"articleId":10,"pageId":10,"portfolioId":10,"children":192},"item-27",{"de":184,"en":185,"es":186,"fr":187,"it":188,"ru":189,"sr":190,"zh":185},"Firmenwebseite SEO","Company Website SEO","Sitio web corporativo SEO","Site web d’entreprise SEO","Sito web aziendale SEO","Корпоративный сайт SEO","Пословна веб-страница SEO","\u002Fportfolio\u002Fseo-sem-branding-mobile-webseite-muenchen",[],{"id":194,"title":195,"url":203,"target":61,"icon":172,"isActive":14,"type":173,"productId":10,"categoryId":10,"shopCategoryId":10,"articleId":10,"pageId":10,"portfolioId":10,"children":204},"item-31",{"de":196,"en":197,"es":198,"fr":199,"it":200,"ru":201,"sr":202,"zh":197},"Digitalisierungsportal","Digitalization Portal","Portal de digitalización","Portail de numérisation","Portale di digitalizzazione","Портал цифровизации","Портал за дигитализацију","\u002Fportfolio\u002Fdigitalisierungsportal-archiv-museum-bibliothek-ead-lido-mets-mods",[],{"statusCode":4,"data":206,"message":672},{"id":207,"title":208,"slug":209,"content":210,"contentJson":211,"excerpt":381,"featuredImage":382,"featuredImageAlt":383,"featuredImageCaption":10,"featuredImageTitle":10,"featuredImageCopyright":10,"featuredImageAuthor":10,"featuredImageSourceUrl":10,"featuredImageLicense":10,"featuredImageIsAiGenerated":43,"status":384,"publishedAt":385,"createdAt":386,"updatedAt":387,"seoLocalePaths":388,"categories":397,"author":398,"translations":403},"449","Google I\u002FO 2026: Agentski proizvodi širom Pretrage, Workspace-a i Kupovine","google-io-2026-agentic-products-search-workspace-and-shopping","\u003Cp>\u003Cb>Google I\u002FO 2026\u003C\u002Fb> je jasno stavio do znanja jednu stvar: agentska veštačka inteligencija se više ne zadržava unutar programerskih alata ili demo verzija modela. Google uvodi agente u proizvode koje ljudi već koriste svakodnevno: Search, Gemini, Workspace, Shopping, YouTube, Gmail i širi ekosistem povezan sa Android-om. Zato je ovaj članak \u003Cb>krak o agentskim potrošačkim proizvodima\u003C\u002Fb> unutar većeg \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-architectural-pivots-agentic-ai-and-the-unified-ecosystem-reality-check\">Google I\u002FO 2026 arhitektonskog čvorišta\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>Tehnička priča nije samo u tome što je Google dodao više AI funkcija. Dublja promena je u tome što Google pretvara površine proizvoda u površine za delovanje. Pretraga postaje konverzacijska i agentska. Workspace se pomera sa pomoći pri pisanju ka izvršavanju zadataka. Shopping postaje trajni sistem za korpu i donošenje odluka. Gemini Spark je pozicioniran kao lični agent koji može da se poveže sa različitim Google proizvodima i deluje pod uputstvima korisnika.\u003C\u002Fp>\n\u003Cp>To se direktno povezuje sa ostalim člancima u ovom klasteru. Osnovne mogućnosti modela su pokrivene u \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5\">Gemini Omni i Gemini 3.5\u003C\u002Fa>. Sloj orkestracije na strani programera pokriven je u \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-antigravity-ai-studio-and-google-devtools\">Antigravity, AI Studio i Google DevTools\u003C\u002Fa>. Sloj fizičkog interfejsa pokriven je u \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear\">Android XR i pametnim naočarima\u003C\u002Fa>. Ovaj članak se fokusira na ono što se dešava kada taj isti agentski pravac stigne do potrošačkih i produktivnih proizvoda.\u003C\u002Fp>\n\u003Ch2>Zaokret u proizvodima: Od asistencije do delegiranja\u003C\u002Fh2>\n\u003Cp>Starije funkcije AI proizvoda su uglavnom bile asistivne. One su sumirale, prepisivale, predlagale ili odgovarale. Google I\u002FO 2026 pokazuje snažniji pomak ka delegiranju. Korisnik traži ishod, a sistem počinje da koordinira informacije, kontekst, alate i naknadne akcije. To je drugačiji model proizvoda. To menja očekivanja korisnika i menja inženjerski rizik.\u003C\u002Fp>\n\u003Cul>\u003Cli>Pretraga postaje manje stvar jednog upita, a više kontinuiranog istraživanja i agentske pomoći.\u003C\u002Fli>\u003Cli>Workspace postaje manje stvar pomoći oko dokumenata, a više koordinacije rada.\u003C\u002Fli>\u003Cli>Kupovina postaje manje stvar pronalaženja proizvoda, a više upravljanja korpom svesnog namere korisnika.\u003C\u002Fli>\u003Cli>Gemini postaje manje chatbot, a više sloj ličnog agenta kroz Google proizvode.\u003C\u002Fli>\u003C\u002Ful>\n\u003Cblockquote class=\"border-l-4 border-gray-300 pl-4 italic\">Prava promena nije prelazak sa rezultata pretrage na AI odgovore. Prava promena je prelazak sa odgovora na akcije.\u003Ccite class=\"block mt-2 text-sm\">— Perspektiva arhitekture proizvoda\u003C\u002Fcite>\u003C\u002Fblockquote>\n\u003Ch2>Pretraga: Od polja za upit do agentske površine\u003C\u002Fh2>\n\u003Cp>Google-ova najava za Search na I\u002FO 2026 opisuje novu eru za AI pretragu, sa naprednim mogućnostima modela koje omogućavaju korisnicima da pristupe agentima postavljanjem pitanja. Takođe uvodi novo polje za pretragu pokretano veštačkom inteligencijom, što Google definiše kao najveću nadogradnju pretrage u više od 25 godina. Ta formulacija nije zanemarljiva. Ona sugeriše da Google vidi samu pretragu kao ulazna vrata za agentsko ponašanje.\u003C\u002Fp>\n\u003Cp>Važna promena proizvoda je to što Pretraga više ne mora da se zaustavlja na preuzimanju informacija. Ona može postati ulazna tačka radnog toka. Umesto da postavi jedno pitanje i ručno spaja narednih pet koraka, korisnik može da zatraži pomoć koja obuhvata istraživanje, sintezu, poređenje, planiranje i, ponekad, akciju. To je moćno, ali takođe pokreće očigledna pitanja o citatima, neutralnosti rangiranja, raznolikosti izvora i korisničkoj kontroli.\u003C\u002Fp>\n\u003Cpre class=\"code-block\">\u003Ccode>\u002F\u002F Stari obrazac pretrage\nupit -> rangirani linkovi -> korisnik odlučuje o sledećem koraku \u002F\u002F Agentni obrazac pretrage\nnamera -> rasuđivanje modela -> utemeljenje u izvorima -> opcije akcije -> potvrda korisnika\u003C\u002Fcode>\u003C\u002Fpre>\n\u003Cp>Zbog toga priča o Pretrazi pripada istom klasteru kao i Gemini 3.5. Agentu za pretragu su potrebni jako rasuđivanje, brzina, rukovanje izvorima i disciplina izvršavanja. Ako je sloj modela slab, Pretraga postaje previše samouverena. Ako je sloj proizvoda slab, korisnik gubi kontrolu. Ako je sloj rangiranja i dokaza slab, celom sistemu postaje teže verovati.\u003C\u002Fp>\n\u003Ch2>Workspace: Gemini Spark i smer razvoja ličnog agenta\u003C\u002Fh2>\n\u003Cp>Workspace je mesto gde agentni pomak postaje veoma ličan. Google-ova ažuriranja za Workspace sa I\u002FO 2026 predstavljaju \u003Cb>Gemini Spark\u003C\u002Fb> kao ličnog AI agenta koji je dostupan 24\u002F7, pomaže korisnicima da se snalaze u svom digitalnom životu i deluje u njihovo ime pod njihovim uputstvima. Google takođe navodi da se Spark može povezati sa različitim Google proizvodima i da je dizajniran tako da prvo pita pre nego što preduzme akcije visokog rizika, kao što su slanje e-pošte ili dodavanje događaja u kalendar.\u003C\u002Fp>\n\u003Cp>Ta poslednja tačka je važna. Ako agent može da pristupi Gmail-u, Kalendaru, Dokumentima, Drive-u i drugim alatima za produktivnost, granica poverenja postaje mnogo ozbiljnija. Pogrešan predlog pasusa je iritantan. Pogrešan imejl, akcija u kalendaru, promena dozvola za datoteku ili automatizovano praćenje mogu stvoriti stvarnu operativnu štetu.\u003C\u002Fp>\n\u003Cul>\u003Cli>Upravljanje imejlovima i njihovo rezimiranje postaju problemi rutiranja zadataka.\u003C\u002Fli>\u003Cli>Kalendar i zakazivanje postaju problemi izvršavanja osetljivi na dozvole.\u003C\u002Fli>\u003Cli>Dokumenti i saradnja postaju problemi zajedničkog konteksta.\u003C\u002Fli>\u003Cli>Delovanje između različitih proizvoda postaje problem upravljanja i potvrde.\u003C\u002Fli>\u003C\u002Ful>\n\u003Cpre class=\"code-block\">\u003Ccode>\u002F\u002F Šablon kontrole agenta za ličnu produktivnost\nif action.risk == "high": require_user_confirmation() show_action_preview() log_decision()\nelse: execute_with_visible_history()\u003C\u002Fcode>\u003C\u002Fpre>\n\u003Cp>Obećanje proizvoda je očigledno: manje administrativnog opterećenja, manje promena konteksta i više kontinuiteta u svakodnevnom radu. Rizik je takođe očigledan: kada agent postane dovoljno koristan da deluje, mora postati dovoljno kontrolisan da bi mu se verovalo.\u003C\u002Fp>\n\u003Ch2>Kupovina: Univerzalna korpa i agentska trgovina\u003C\u002Fh2>\n\u003Cp>Kupovina je možda komercijalno najvažniji deo priče o agentskim proizvodima na I\u002FO 2026. Google je predstavio \u003Cb>Univerzalnu korpu\u003C\u002Fb> kao inteligentnu, proaktivnu korpu za kupovinu napravljenu da radi kod različitih trgovaca i usluga. Google je opisuje kao čvorište gde korisnici mogu da dodaju stavke dok pretražuju Pretragu, ćaskaju sa Gemini-jem, gledaju YouTube ili čitaju Gmail.\u003C\u002Fp>\n\u003Cp>To nije samo funkcija korpe. To je kontrolni sloj trgovine. Ako korpa može da opstane na različitim površinama za otkrivanje proizvoda, razmišlja o kompatibilnosti, razume informacije o lojalnosti i pogodnostima plaćanja, i predlaže bolje alternative, onda Google ne pomaže samo korisnicima da kupuju. On oblikuje sam tok kupovine.\u003C\u002Fp>\n\u003Cpre class=\"code-block\">\u003Ccode>\u002F\u002F Univerzalna korpa nije samo skladište\ncart.add(item)\ncart.checkCompatibility(items)\ncart.compareMerchantOffers()\ncart.applyWalletContext()\ncart.suggestAlternatives()\ncart.prepareCheckout()\u003C\u002Fcode>\u003C\u002Fpre>\n\u003Cp>Primer računara po meri iz Google-a je dobar signal: korpa koja označava nekompatibilnosti proizvoda prelazi iz pasivnog kontejnera u asistenta za donošenje odluka. To je vredno. To je takođe i osetljivo. Onog trenutka kada agent preporuči zamene ili odredi prioritet ponuda, rangiranje proizvoda, pravičnost prema trgovcima, afilijat podsticaji i poverenje korisnika postaju centralna pitanja dizajna.\u003C\u002Fp>\n\u003Ch2>Strateški obrazac: Jedan agentski sloj kroz više proizvoda\u003C\u002Fh2>\n\u003Cp>Pretraga, Workspace i Kupovina izgledaju kao različite priče, ali strateški ukazuju u istom smeru. Google gradi agentski sloj koji može da funkcioniše kroz prostore za otkrivanje, produktivnost, komunikaciju, trgovinu i uređaje. Zato se ova tema ne može posmatrati kao nasumična lista ažuriranja funkcija. To je potez konsolidacije platforme.\u003C\u002Fp>\n\u003Cp>Isti obrazac se pojavljuje u ostatku Google I\u002FO 2026 klastera. Modeli pružaju sposobnost rasuđivanja i delovanja. Razvojni alati pružaju okruženja za orkestraciju i izvršavanje. Android XR i pametne naočare premeštaju asistenta u živi fizički kontekst. Pretraga, Workspace i Kupovina pretvaraju tu istu logiku asistenta u svakodnevno ponašanje proizvoda.\u003C\u002Fp>\n\u003Cul>\u003Cli>Pretraga postaje agentsko okruženje za otkrivanje i istraživanje.\u003C\u002Fli>\u003Cli>Workspace postaje agentsko okruženje za produktivnost i lični tok posla.\u003C\u002Fli>\u003Cli>Kupovina postaje agentsko okruženje za trgovinu i podršku pri donošenju odluka.\u003C\u002Fli>\u003Cli>Gemini postaje vezivno tkivo u celom sistemu.\u003C\u002Fli>\u003C\u002Ful>\n\u003Ch2>Gde ovo postaje tehnički teško\u003C\u002Fh2>\n\u003Cp>Težak problem nije pravljenje impresivnih demo snimaka. Težak problem je održavanje ponašanja agentskih proizvoda bezbednim, reverzibilnim, objašnjivim i pod kontrolom korisnika u velikom obimu. Agentima za pretragu su potrebni utemeljenje i dokazi. Agentima za radni prostor su potrebne granice dozvola i pravila potvrde. Agentima za kupovinu su potrebne transparentne preporuke i neutralnost trgovaca. Agentima koji rade na više proizvoda su potrebni identitet, memorija, privatnost i revizorski tragovi.\u003C\u002Fp>\n\u003Cpre class=\"code-block\">\u003Ccode>agenticProductRequirements = { grounding: "prikaži izvore i granice rasuđivanja", confirmation: "pitaj pre akcija visokog uticaja", reversibility: "omogući opoziv akcija gde god je to moguće", privacy: "ograniči deljenje konteksta između proizvoda", auditability: "vodi vidljivu istoriju akcija za korisnika", fairness: "izbegavaj skrivenu manipulaciju rangiranjem"\n};\u003C\u002Fcode>\u003C\u002Fpre>\n\u003Cp>Ovde se agenti namenjeni korisnicima počinju preklapati sa ozbiljnim inženjeringom platformi. Što asistent postaje korisniji, to mu je više potrebno kontrola koje se obično povezuju sa korporativnim sistemima: verziranje, dozvole, logovi, granice politika, vraćanje unazad (rollback) i evaluacija. Poliranje proizvoda ne uklanja taj zahtev.\u003C\u002Fp>\n\u003Ch2>Zašto je ovo važno za izdavače, prodavnice i programere\u003C\u002Fh2>\n\u003Cp>Ako Google pretraga postane više agentska, izdavači moraju da razmišljaju izvan klasičnog rangiranja. Sadržaj mora biti dovoljno strukturiran da bi se mogao preuzeti, rezimirati, uporediti i citirati u konverzacijskim i agentskim kontekstima. Ako Shopping postane više agentski, trgovcima su potrebni čisti podaci o proizvodima, metapodaci o kompatibilnosti, pravila, recenzije, tačnost zaliha i transparentnost cena. Ako agenti u stilu Workspace-a postanu uobičajeni, SaaS proizvodima će biti potrebni jasniji API-ji i bolji modeli dozvola.\u003C\u002Fp>\n\u003Cul>\u003Cli>Izdavačima je potreban jači strukturirani sadržaj i jasniji tematski autoritet.\u003C\u002Fli>\u003Cli>Trgovcima su potrebni podaci o proizvodima o kojima agenti mogu da rasuđuju, a ne samo stranice koje korisnici mogu da pregledaju.\u003C\u002Fli>\u003Cli>Programerima su potrebni API-ji dizajnirani za bezbedno delovanje, a ne samo za interakciju zasnovanu na ekranu.\u003C\u002Fli>\u003Cli>Proizvodnim timovima su potrebni eksplicitni tokovi potvrde i opoziva za zadatke visokog uticaja.\u003C\u002Fli>\u003C\u002Ful>\n\u003Cp>Ovo je takođe i praktičan SEO ugao. Ako agentska pretraga počne da posreduje u više korisničkih putovanja, sadržaj koji je tehnički jasan, semantički strukturiran i interno dobro povezan postaje još važniji. Ravna gomila članaka je slabija od koherentnog \"hub-and-spoke\" klastera sa jasnim tematskim ulogama.\u003C\u002Fp>\n\u003Ch2>Rizik: Agentska praktičnost može sakriti gubitak kontrole\u003C\u002Fh2>\n\u003Cp>Praktičnost je prodajna tačka. Kontrola je test. Agent proizvoda koji može da sumira, poredi, preporučuje, zakazuje, kupuje ili šalje poruke može uštedeti vreme. Ali takođe može i da sakrije logiku donošenja odluka iza uglađenog interfejsa. Korisnici moraju imati mogućnost da vide šta se dogodilo, zašto se dogodilo, koji podaci su korišćeni i kako da ponište ili isprave ishod.\u003C\u002Fp>\n\u003Cblockquote class=\"border-l-4 border-gray-300 pl-4 italic\">Proizvod zasnovan na agentima je pouzdan samo ako korisnik ostane krajnji autoritet, a ne poslednja osoba koja saznaje šta se dogodilo.\u003Ccite class=\"block mt-2 text-sm\">— Perspektiva rizika potrošačke veštačke inteligencije\u003C\u002Fcite>\u003C\u002Fblockquote>\n\u003Cp>Zato je važna formulacija oko toga da Gemini Spark traži potvrdu pre akcija visokog rizika. To signalizira da Google razume rizik. Pravo pitanje je da li će te kontrole ostati jasne i dosledne kada se agenti prošire na proizvode, pretplate, uređaje i integracije trećih strana.\u003C\u002Fp>\n\u003Ch2>Kako se ovo uklapa u Google I\u002FO 2026 klaster\u003C\u002Fh2>\n\u003Cp>Ovaj članak upotpunjuje proizvodni sloj klastera. \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-architectural-pivots-agentic-ai-and-the-unified-ecosystem-reality-check\">Glavno Google I\u002FO 2026 čvorište\u003C\u002Fa> objašnjava promenu na nivou platforme. \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5\">Gemini Omni i Gemini 3.5\u003C\u002Fa> pokrivaju sloj modela. \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-antigravity-ai-studio-and-google-devtools\">Antigravity, AI Studio i Google DevTools\u003C\u002Fa> pokrivaju sloj izvršavanja za programere. \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear\">Android XR i inteligentne naočare\u003C\u002Fa> pokrivaju sloj uređaja. Ovaj članak pokriva šta se dešava kada ista agentska arhitektura stigne do svakodnevnih površina proizvoda.\u003C\u002Fp>\n\u003Ch2>Povezani članci u ovom klasteru\u003C\u002Fh2>\n\u003Cul>\u003Cli>\u003Cb>Glavno čvorište:\u003C\u002Fb> \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-architectural-pivots-agentic-ai-and-the-unified-ecosystem-reality-check\">Google I\u002FO 2026: Arhitektonski zaokreti, agentski AI i provera realnosti jedinstvenog ekosistema\u003C\u002Fa>\u003C\u002Fli>\u003Cli>\u003Cb>Računarski sloj:\u003C\u002Fb> \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5\">Google I\u002FO 2026: Gemini Omni i Gemini 3.5\u003C\u002Fa>\u003C\u002Fli>\u003Cli>\u003Cb>Alati za programere:\u003C\u002Fb> \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-antigravity-ai-studio-and-google-devtools\">Google I\u002FO 2026: Antigravity, AI Studio i Google DevTools\u003C\u002Fa>\u003C\u002Fli>\u003Cli>\u003Cb>Android, XR i površine uređaja:\u003C\u002Fb> \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear\">Google I\u002FO 2026: Android XR i inteligentne naočare\u003C\u002Fa>\u003C\u002Fli>\u003C\u002Ful>\n\u003Ch2>Završna perspektiva\u003C\u002Fh2>\n\u003Cp>Google I\u002FO 2026 pokazuje da se agentski AI seli sa demonstracija modela na svakodnevne površine proizvoda. Pretraga postaje konverzacijskija i više orijentisana na akciju. Workspace se približava ličnom operativnom sloju. Kupovina postaje trajna površina za rezonovanje kroz Universal Cart. Ovo nije samo proširenje funkcija. To je pokušaj kompanije Google da učini Gemini povezujućim agentom kroz informacije, rad, trgovinu i uređaje. Prilika je ogromna, ali test je kontrola: korisnici moraju razumeti šta agent radi, zašto to radi i kada oni ostaju glavni.\u003C\u002Fp>\n\u003Cdiv class=\"ce-delimiter cdx-block my-8\">\u003C\u002Fdiv>",{"time":212,"blocks":213,"version":380},1779229584400,[214,218,221,224,228,231,240,245,248,251,254,258,261,264,267,270,277,280,283,286,289,292,295,298,301,304,307,314,317,320,323,326,329,332,339,342,345,348,352,355,358,361,364,371,374,377],{"data":215,"type":217},{"text":216},"\u003Cb>Google I\u002FO 2026\u003C\u002Fb> je jasno stavio do znanja jednu stvar: agentska veštačka inteligencija se više ne zadržava unutar programerskih alata ili demo verzija modela. Google uvodi agente u proizvode koje ljudi već koriste svakodnevno: Search, Gemini, Workspace, Shopping, YouTube, Gmail i širi ekosistem povezan sa Android-om. Zato je ovaj članak \u003Cb>krak o agentskim potrošačkim proizvodima\u003C\u002Fb> unutar većeg \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-architectural-pivots-agentic-ai-and-the-unified-ecosystem-reality-check\">Google I\u002FO 2026 arhitektonskog čvorišta\u003C\u002Fa>.","paragraph",{"data":219,"type":217},{"text":220},"Tehnička priča nije samo u tome što je Google dodao više AI funkcija. Dublja promena je u tome što Google pretvara površine proizvoda u površine za delovanje. Pretraga postaje konverzacijska i agentska. Workspace se pomera sa pomoći pri pisanju ka izvršavanju zadataka. Shopping postaje trajni sistem za korpu i donošenje odluka. Gemini Spark je pozicioniran kao lični agent koji može da se poveže sa različitim Google proizvodima i deluje pod uputstvima korisnika.",{"data":222,"type":217},{"text":223},"To se direktno povezuje sa ostalim člancima u ovom klasteru. Osnovne mogućnosti modela su pokrivene u \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5\">Gemini Omni i Gemini 3.5\u003C\u002Fa>. Sloj orkestracije na strani programera pokriven je u \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-antigravity-ai-studio-and-google-devtools\">Antigravity, AI Studio i Google DevTools\u003C\u002Fa>. Sloj fizičkog interfejsa pokriven je u \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear\">Android XR i pametnim naočarima\u003C\u002Fa>. Ovaj članak se fokusira na ono što se dešava kada taj isti agentski pravac stigne do potrošačkih i produktivnih proizvoda.",{"data":225,"type":42},{"text":226,"level":227},"Zaokret u proizvodima: Od asistencije do delegiranja",2,{"data":229,"type":217},{"text":230},"Starije funkcije AI proizvoda su uglavnom bile asistivne. One su sumirale, prepisivale, predlagale ili odgovarale. Google I\u002FO 2026 pokazuje snažniji pomak ka delegiranju. Korisnik traži ishod, a sistem počinje da koordinira informacije, kontekst, alate i naknadne akcije. To je drugačiji model proizvoda. To menja očekivanja korisnika i menja inženjerski rizik.",{"data":232,"type":239},{"items":233,"style":238},[234,235,236,237],"Pretraga postaje manje stvar jednog upita, a više kontinuiranog istraživanja i agentske pomoći.","Workspace postaje manje stvar pomoći oko dokumenata, a više koordinacije rada.","Kupovina postaje manje stvar pronalaženja proizvoda, a više upravljanja korpom svesnog namere korisnika.","Gemini postaje manje chatbot, a više sloj ličnog agenta kroz Google proizvode.","unordered","list",{"data":241,"type":244},{"text":242,"caption":243},"Prava promena nije prelazak sa rezultata pretrage na AI odgovore. Prava promena je prelazak sa odgovora na akcije.","Perspektiva arhitekture proizvoda","quote",{"data":246,"type":42},{"text":247,"level":227},"Pretraga: Od polja za upit do agentske površine",{"data":249,"type":217},{"text":250},"Google-ova najava za Search na I\u002FO 2026 opisuje novu eru za AI pretragu, sa naprednim mogućnostima modela koje omogućavaju korisnicima da pristupe agentima postavljanjem pitanja. Takođe uvodi novo polje za pretragu pokretano veštačkom inteligencijom, što Google definiše kao najveću nadogradnju pretrage u više od 25 godina. Ta formulacija nije zanemarljiva. Ona sugeriše da Google vidi samu pretragu kao ulazna vrata za agentsko ponašanje.",{"data":252,"type":217},{"text":253},"Važna promena proizvoda je to što Pretraga više ne mora da se zaustavlja na preuzimanju informacija. Ona može postati ulazna tačka radnog toka. Umesto da postavi jedno pitanje i ručno spaja narednih pet koraka, korisnik može da zatraži pomoć koja obuhvata istraživanje, sintezu, poređenje, planiranje i, ponekad, akciju. To je moćno, ali takođe pokreće očigledna pitanja o citatima, neutralnosti rangiranja, raznolikosti izvora i korisničkoj kontroli.",{"data":255,"type":257},{"code":256},"\u002F\u002F Stari obrazac pretrage\nupit -> rangirani linkovi -> korisnik odlučuje o sledećem koraku \u002F\u002F Agentni obrazac pretrage\nnamera -> rasuđivanje modela -> utemeljenje u izvorima -> opcije akcije -> potvrda korisnika","code",{"data":259,"type":217},{"text":260},"Zbog toga priča o Pretrazi pripada istom klasteru kao i Gemini 3.5. Agentu za pretragu su potrebni jako rasuđivanje, brzina, rukovanje izvorima i disciplina izvršavanja. Ako je sloj modela slab, Pretraga postaje previše samouverena. Ako je sloj proizvoda slab, korisnik gubi kontrolu. Ako je sloj rangiranja i dokaza slab, celom sistemu postaje teže verovati.",{"data":262,"type":42},{"text":263,"level":227},"Workspace: Gemini Spark i smer razvoja ličnog agenta",{"data":265,"type":217},{"text":266},"Workspace je mesto gde agentni pomak postaje veoma ličan. Google-ova ažuriranja za Workspace sa I\u002FO 2026 predstavljaju \u003Cb>Gemini Spark\u003C\u002Fb> kao ličnog AI agenta koji je dostupan 24\u002F7, pomaže korisnicima da se snalaze u svom digitalnom životu i deluje u njihovo ime pod njihovim uputstvima. Google takođe navodi da se Spark može povezati sa različitim Google proizvodima i da je dizajniran tako da prvo pita pre nego što preduzme akcije visokog rizika, kao što su slanje e-pošte ili dodavanje događaja u kalendar.",{"data":268,"type":217},{"text":269},"Ta poslednja tačka je važna. Ako agent može da pristupi Gmail-u, Kalendaru, Dokumentima, Drive-u i drugim alatima za produktivnost, granica poverenja postaje mnogo ozbiljnija. Pogrešan predlog pasusa je iritantan. Pogrešan imejl, akcija u kalendaru, promena dozvola za datoteku ili automatizovano praćenje mogu stvoriti stvarnu operativnu štetu.",{"data":271,"type":239},{"items":272,"style":238},[273,274,275,276],"Upravljanje imejlovima i njihovo rezimiranje postaju problemi rutiranja zadataka.","Kalendar i zakazivanje postaju problemi izvršavanja osetljivi na dozvole.","Dokumenti i saradnja postaju problemi zajedničkog konteksta.","Delovanje između različitih proizvoda postaje problem upravljanja i potvrde.",{"data":278,"type":257},{"code":279},"\u002F\u002F Šablon kontrole agenta za ličnu produktivnost\nif action.risk == \"high\": require_user_confirmation() show_action_preview() log_decision()\nelse: execute_with_visible_history()",{"data":281,"type":217},{"text":282},"Obećanje proizvoda je očigledno: manje administrativnog opterećenja, manje promena konteksta i više kontinuiteta u svakodnevnom radu. Rizik je takođe očigledan: kada agent postane dovoljno koristan da deluje, mora postati dovoljno kontrolisan da bi mu se verovalo.",{"data":284,"type":42},{"text":285,"level":227},"Kupovina: Univerzalna korpa i agentska trgovina",{"data":287,"type":217},{"text":288},"Kupovina je možda komercijalno najvažniji deo priče o agentskim proizvodima na I\u002FO 2026. Google je predstavio \u003Cb>Univerzalnu korpu\u003C\u002Fb> kao inteligentnu, proaktivnu korpu za kupovinu napravljenu da radi kod različitih trgovaca i usluga. Google je opisuje kao čvorište gde korisnici mogu da dodaju stavke dok pretražuju Pretragu, ćaskaju sa Gemini-jem, gledaju YouTube ili čitaju Gmail.",{"data":290,"type":217},{"text":291},"To nije samo funkcija korpe. To je kontrolni sloj trgovine. Ako korpa može da opstane na različitim površinama za otkrivanje proizvoda, razmišlja o kompatibilnosti, razume informacije o lojalnosti i pogodnostima plaćanja, i predlaže bolje alternative, onda Google ne pomaže samo korisnicima da kupuju. On oblikuje sam tok kupovine.",{"data":293,"type":257},{"code":294},"\u002F\u002F Univerzalna korpa nije samo skladište\ncart.add(item)\ncart.checkCompatibility(items)\ncart.compareMerchantOffers()\ncart.applyWalletContext()\ncart.suggestAlternatives()\ncart.prepareCheckout()",{"data":296,"type":217},{"text":297},"Primer računara po meri iz Google-a je dobar signal: korpa koja označava nekompatibilnosti proizvoda prelazi iz pasivnog kontejnera u asistenta za donošenje odluka. To je vredno. To je takođe i osetljivo. Onog trenutka kada agent preporuči zamene ili odredi prioritet ponuda, rangiranje proizvoda, pravičnost prema trgovcima, afilijat podsticaji i poverenje korisnika postaju centralna pitanja dizajna.",{"data":299,"type":42},{"text":300,"level":227},"Strateški obrazac: Jedan agentski sloj kroz više proizvoda",{"data":302,"type":217},{"text":303},"Pretraga, Workspace i Kupovina izgledaju kao različite priče, ali strateški ukazuju u istom smeru. Google gradi agentski sloj koji može da funkcioniše kroz prostore za otkrivanje, produktivnost, komunikaciju, trgovinu i uređaje. Zato se ova tema ne može posmatrati kao nasumična lista ažuriranja funkcija. To je potez konsolidacije platforme.",{"data":305,"type":217},{"text":306},"Isti obrazac se pojavljuje u ostatku Google I\u002FO 2026 klastera. Modeli pružaju sposobnost rasuđivanja i delovanja. Razvojni alati pružaju okruženja za orkestraciju i izvršavanje. Android XR i pametne naočare premeštaju asistenta u živi fizički kontekst. Pretraga, Workspace i Kupovina pretvaraju tu istu logiku asistenta u svakodnevno ponašanje proizvoda.",{"data":308,"type":239},{"items":309,"style":238},[310,311,312,313],"Pretraga postaje agentsko okruženje za otkrivanje i istraživanje.","Workspace postaje agentsko okruženje za produktivnost i lični tok posla.","Kupovina postaje agentsko okruženje za trgovinu i podršku pri donošenju odluka.","Gemini postaje vezivno tkivo u celom sistemu.",{"data":315,"type":42},{"text":316,"level":227},"Gde ovo postaje tehnički teško",{"data":318,"type":217},{"text":319},"Težak problem nije pravljenje impresivnih demo snimaka. Težak problem je održavanje ponašanja agentskih proizvoda bezbednim, reverzibilnim, objašnjivim i pod kontrolom korisnika u velikom obimu. Agentima za pretragu su potrebni utemeljenje i dokazi. Agentima za radni prostor su potrebne granice dozvola i pravila potvrde. Agentima za kupovinu su potrebne transparentne preporuke i neutralnost trgovaca. Agentima koji rade na više proizvoda su potrebni identitet, memorija, privatnost i revizorski tragovi.",{"data":321,"type":257},{"code":322},"agenticProductRequirements = { grounding: \"prikaži izvore i granice rasuđivanja\", confirmation: \"pitaj pre akcija visokog uticaja\", reversibility: \"omogući opoziv akcija gde god je to moguće\", privacy: \"ograniči deljenje konteksta između proizvoda\", auditability: \"vodi vidljivu istoriju akcija za korisnika\", fairness: \"izbegavaj skrivenu manipulaciju rangiranjem\"\n};",{"data":324,"type":217},{"text":325},"Ovde se agenti namenjeni korisnicima počinju preklapati sa ozbiljnim inženjeringom platformi. Što asistent postaje korisniji, to mu je više potrebno kontrola koje se obično povezuju sa korporativnim sistemima: verziranje, dozvole, logovi, granice politika, vraćanje unazad (rollback) i evaluacija. Poliranje proizvoda ne uklanja taj zahtev.",{"data":327,"type":42},{"text":328,"level":227},"Zašto je ovo važno za izdavače, prodavnice i programere",{"data":330,"type":217},{"text":331},"Ako Google pretraga postane više agentska, izdavači moraju da razmišljaju izvan klasičnog rangiranja. Sadržaj mora biti dovoljno strukturiran da bi se mogao preuzeti, rezimirati, uporediti i citirati u konverzacijskim i agentskim kontekstima. Ako Shopping postane više agentski, trgovcima su potrebni čisti podaci o proizvodima, metapodaci o kompatibilnosti, pravila, recenzije, tačnost zaliha i transparentnost cena. Ako agenti u stilu Workspace-a postanu uobičajeni, SaaS proizvodima će biti potrebni jasniji API-ji i bolji modeli dozvola.",{"data":333,"type":239},{"items":334,"style":238},[335,336,337,338],"Izdavačima je potreban jači strukturirani sadržaj i jasniji tematski autoritet.","Trgovcima su potrebni podaci o proizvodima o kojima agenti mogu da rasuđuju, a ne samo stranice koje korisnici mogu da pregledaju.","Programerima su potrebni API-ji dizajnirani za bezbedno delovanje, a ne samo za interakciju zasnovanu na ekranu.","Proizvodnim timovima su potrebni eksplicitni tokovi potvrde i opoziva za zadatke visokog uticaja.",{"data":340,"type":217},{"text":341},"Ovo je takođe i praktičan SEO ugao. Ako agentska pretraga počne da posreduje u više korisničkih putovanja, sadržaj koji je tehnički jasan, semantički strukturiran i interno dobro povezan postaje još važniji. Ravna gomila članaka je slabija od koherentnog \"hub-and-spoke\" klastera sa jasnim tematskim ulogama.",{"data":343,"type":42},{"text":344,"level":227},"Rizik: Agentska praktičnost može sakriti gubitak kontrole",{"data":346,"type":217},{"text":347},"Praktičnost je prodajna tačka. Kontrola je test. Agent proizvoda koji može da sumira, poredi, preporučuje, zakazuje, kupuje ili šalje poruke može uštedeti vreme. Ali takođe može i da sakrije logiku donošenja odluka iza uglađenog interfejsa. Korisnici moraju imati mogućnost da vide šta se dogodilo, zašto se dogodilo, koji podaci su korišćeni i kako da ponište ili isprave ishod.",{"data":349,"type":244},{"text":350,"caption":351},"Proizvod zasnovan na agentima je pouzdan samo ako korisnik ostane krajnji autoritet, a ne poslednja osoba koja saznaje šta se dogodilo.","Perspektiva rizika potrošačke veštačke inteligencije",{"data":353,"type":217},{"text":354},"Zato je važna formulacija oko toga da Gemini Spark traži potvrdu pre akcija visokog rizika. To signalizira da Google razume rizik. Pravo pitanje je da li će te kontrole ostati jasne i dosledne kada se agenti prošire na proizvode, pretplate, uređaje i integracije trećih strana.",{"data":356,"type":42},{"text":357,"level":227},"Kako se ovo uklapa u Google I\u002FO 2026 klaster",{"data":359,"type":217},{"text":360},"Ovaj članak upotpunjuje proizvodni sloj klastera. \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-architectural-pivots-agentic-ai-and-the-unified-ecosystem-reality-check\">Glavno Google I\u002FO 2026 čvorište\u003C\u002Fa> objašnjava promenu na nivou platforme. \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5\">Gemini Omni i Gemini 3.5\u003C\u002Fa> pokrivaju sloj modela. \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-antigravity-ai-studio-and-google-devtools\">Antigravity, AI Studio i Google DevTools\u003C\u002Fa> pokrivaju sloj izvršavanja za programere. \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear\">Android XR i inteligentne naočare\u003C\u002Fa> pokrivaju sloj uređaja. Ovaj članak pokriva šta se dešava kada ista agentska arhitektura stigne do svakodnevnih površina proizvoda.",{"data":362,"type":42},{"text":363,"level":227},"Povezani članci u ovom klasteru",{"data":365,"type":239},{"items":366,"style":238},[367,368,369,370],"\u003Cb>Glavno čvorište:\u003C\u002Fb> \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-architectural-pivots-agentic-ai-and-the-unified-ecosystem-reality-check\">Google I\u002FO 2026: Arhitektonski zaokreti, agentski AI i provera realnosti jedinstvenog ekosistema\u003C\u002Fa>","\u003Cb>Računarski sloj:\u003C\u002Fb> \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5\">Google I\u002FO 2026: Gemini Omni i Gemini 3.5\u003C\u002Fa>","\u003Cb>Alati za programere:\u003C\u002Fb> \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-antigravity-ai-studio-and-google-devtools\">Google I\u002FO 2026: Antigravity, AI Studio i Google DevTools\u003C\u002Fa>","\u003Cb>Android, XR i površine uređaja:\u003C\u002Fb> \u003Ca href=\"\u002Fsr\u002Fblog\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear\">Google I\u002FO 2026: Android XR i inteligentne naočare\u003C\u002Fa>",{"data":372,"type":42},{"text":373,"level":227},"Završna perspektiva",{"data":375,"type":217},{"text":376},"Google I\u002FO 2026 pokazuje da se agentski AI seli sa demonstracija modela na svakodnevne površine proizvoda. Pretraga postaje konverzacijskija i više orijentisana na akciju. Workspace se približava ličnom operativnom sloju. Kupovina postaje trajna površina za rezonovanje kroz Universal Cart. Ovo nije samo proširenje funkcija. To je pokušaj kompanije Google da učini Gemini povezujućim agentom kroz informacije, rad, trgovinu i uređaje. Prilika je ogromna, ali test je kontrola: korisnici moraju razumeti šta agent radi, zašto to radi i kada oni ostaju glavni.",{"data":378,"type":379},{},"delimiter","2.31","Google I\u002FO 2026 je pokazao da agentska veštačka inteligencija prevazilazi demonstracije modela i razvojne alate i ulazi u svakodnevne površine proizvoda. Ovaj članak detaljno objašnjava kako Search, Workspace, Gemini Spark i Universal Cart ukazuju na novi model proizvoda u kojem Google agenti pomažu korisnicima da istražuju, rade, kupuju i deluju kroz povezane usluge.","\u002Fuploads\u002F2026\u002F05\u002Fgoogle-io-2026-agentic-products-search-workspace-and-shopping-1779228004340-9mqs07.webp","google-io-2026-agentic-products-search-workspace-and-shopping-1779228004340-9mqs07","PUBLISHED","2026-05-21T11:09:00.000Z","2026-05-19T21:09:06.757Z","2026-05-21T11:09:00.689Z",{"en":389,"de":390,"sr":391,"es":392,"fr":393,"it":394,"ru":395,"zh":396},"\u002Fblog\u002Fgoogle-io-2026-agentic-products-search-workspace-and-shopping","\u002Fde\u002Fblog\u002Fgoogle-io-2026-agentic-products-search-workspace-and-shopping","\u002Fsr\u002Fblog\u002Fgoogle-io-2026-agentic-products-search-workspace-and-shopping","\u002Fes\u002Fblog\u002Fgoogle-io-2026-agentic-products-search-workspace-and-shopping","\u002Ffr\u002Fblog\u002Fgoogle-io-2026-agentic-products-search-workspace-and-shopping","\u002Fit\u002Fblog\u002Fgoogle-io-2026-agentic-products-search-workspace-and-shopping","\u002Fru\u002Fblog\u002Fgoogle-io-2026-agentic-products-search-workspace-and-shopping","\u002Fzh\u002Fblog\u002Fgoogle-io-2026-agentic-products-search-workspace-and-shopping",[],{"id":399,"login":400,"email":401,"displayName":402},"20","rooth8233","","Aleksandar Stajić",[404,572],{"lang":405,"title":406,"content":407,"contentJson":408,"excerpt":571},"en","Google I\u002FO 2026: Agentic Products Across Search, Workspace, and Shopping","{\"time\":1774828800000,\"blocks\":[{\"data\":{\"text\":\"\u003Cb>Google I\u002FO 2026\u003C\u002Fb> made one thing clear: agentic AI is no longer being kept inside developer tools or model demos. Google is pushing agents into the products people already use every day: Search, Gemini, Workspace, Shopping, YouTube, Gmail, and the broader Android-linked ecosystem. That is why this article is the \u003Cb>agentic consumer products spoke\u003C\u002Fb> inside the larger \u003Ca href=\\\"\u002Fblog\u002Fgoogle-io-2026-architectural-pivots-agentic-ai-and-the-unified-ecosystem-reality-check\\\">Google I\u002FO 2026 architectural hub\u003C\u002Fa>.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"The technical story is not only that Google added more AI features. The deeper shift is that Google is turning product surfaces into action surfaces. Search is becoming more conversational and agentic. Workspace is moving from writing help toward task execution. Shopping is becoming a persistent cart-and-decision system. Gemini Spark is positioned as a personal agent that can connect across Google products and act under user direction.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"That connects directly to the other articles in this cluster. The underlying model capability is covered in \u003Ca href=\\\"\u002Fblog\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5\\\">Gemini Omni and Gemini 3.5\u003C\u002Fa>. The developer-side orchestration layer is covered in \u003Ca href=\\\"\u002Fblog\u002Fgoogle-io-2026-antigravity-ai-studio-and-google-devtools\\\">Antigravity, AI Studio, and Google DevTools\u003C\u002Fa>. The physical interface layer is covered in \u003Ca href=\\\"\u002Fblog\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear\\\">Android XR and Intelligent Eyewear\u003C\u002Fa>. This article focuses on what happens when that same agentic direction reaches consumer and productivity products.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"The Product Shift: From Assistance to Delegation\",\"level\":2},\"type\":\"header\"},{\"data\":{\"text\":\"Older AI product features were mostly assistive. They summarized, rewrote, suggested, or answered. Google I\u002FO 2026 shows a stronger move toward delegation. The user asks for an outcome, and the system begins coordinating information, context, tools, and follow-up actions. That is a different product model. It changes user expectations and it changes engineering risk.\"},\"type\":\"paragraph\"},{\"data\":{\"items\":[\"Search becomes less about one query and more about ongoing research and agentic help.\",\"Workspace becomes less about document assistance and more about work coordination.\",\"Shopping becomes less about product discovery and more about intent-aware cart management.\",\"Gemini becomes less like a chatbot and more like a personal agent layer across Google products.\"],\"style\":\"unordered\"},\"type\":\"list\"},{\"data\":{\"text\":\"The real shift is not from search results to AI answers. The real shift is from answers to actions.\",\"caption\":\"Product architecture perspective\"},\"type\":\"quote\"},{\"data\":{\"text\":\"Search: From Query Box to Agentic Surface\",\"level\":2},\"type\":\"header\"},{\"data\":{\"text\":\"Google’s I\u002FO 2026 Search announcement describes a new era for AI Search, with advanced model capabilities enabling users to access agents by asking a question. It also introduces a new AI-powered Search box, which Google frames as the biggest upgrade to Search in more than 25 years. That phrasing is not small. It suggests Google sees Search itself becoming a front door to agentic behavior.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"The important product change is that Search no longer needs to stop at retrieval. It can become a workflow entry point. Instead of asking one question and manually stitching together the next five steps, the user can ask for help that spans exploration, synthesis, comparison, planning, and sometimes action. That is powerful, but it also raises obvious questions about citations, ranking neutrality, source diversity, and user control.\"},\"type\":\"paragraph\"},{\"data\":{\"code\":\"\u002F\u002F Old Search pattern\\nquery -> ranked links -> user decides next step \u002F\u002F Agentic Search pattern\\nintent -> model reasoning -> source grounding -> action options -> user confirmation\"},\"type\":\"code\"},{\"data\":{\"text\":\"This is why the Search story belongs in the same cluster as Gemini 3.5. A search agent needs strong reasoning, speed, source handling, and execution discipline. If the model layer is weak, Search becomes overconfident. If the product layer is weak, the user loses control. If the ranking and evidence layer is weak, the whole system becomes harder to trust.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"Workspace: Gemini Spark and the Personal Agent Direction\",\"level\":2},\"type\":\"header\"},{\"data\":{\"text\":\"Workspace is where the agentic shift becomes very personal. Google’s I\u002FO 2026 Workspace updates present \u003Cb>Gemini Spark\u003C\u002Fb> as a 24\u002F7 personal AI agent that helps users navigate their digital life and acts on their behalf under their direction. Google also says Spark can connect across Google products and is designed to ask first before high-stakes actions such as sending emails or adding calendar events.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"That last point matters. If an agent can touch Gmail, Calendar, Docs, Drive, and other productivity surfaces, the trust boundary becomes much more serious. A wrong paragraph suggestion is annoying. A wrong email, calendar action, file permission change, or automated follow-up can create real operational damage.\"},\"type\":\"paragraph\"},{\"data\":{\"items\":[\"Email management and summarization become task-routing problems.\",\"Calendar and scheduling become permission-sensitive execution problems.\",\"Docs and collaboration become shared-context problems.\",\"Cross-product action becomes a governance and confirmation problem.\"],\"style\":\"unordered\"},\"type\":\"list\"},{\"data\":{\"code\":\"\u002F\u002F Personal productivity agent control pattern\\nif action.risk == \\\"high\\\": require_user_confirmation() show_action_preview() log_decision()\\nelse: execute_with_visible_history()\"},\"type\":\"code\"},{\"data\":{\"text\":\"The product promise is obvious: less administrative drag, fewer context switches, and more continuity across daily work. The risk is also obvious: once the agent becomes useful enough to act, it must become controlled enough to trust.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"Shopping: Universal Cart and Agentic Commerce\",\"level\":2},\"type\":\"header\"},{\"data\":{\"text\":\"Shopping may be the most commercially important part of the I\u002FO 2026 agentic product story. Google introduced \u003Cb>Universal Cart\u003C\u002Fb> as an intelligent, proactive shopping cart built to work across merchants and services. Google describes it as a hub where users can add items while browsing Search, chatting with Gemini, watching YouTube, or reading Gmail.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"That is not just a cart feature. It is a commerce control layer. If the cart can persist across product discovery surfaces, reason about compatibility, understand loyalty information and payment perks, and suggest better alternatives, then Google is not merely helping users buy. It is shaping the buying workflow itself.\"},\"type\":\"paragraph\"},{\"data\":{\"code\":\"\u002F\u002F Universal Cart is not just storage\\ncart.add(item)\\ncart.checkCompatibility(items)\\ncart.compareMerchantOffers()\\ncart.applyWalletContext()\\ncart.suggestAlternatives()\\ncart.prepareCheckout()\"},\"type\":\"code\"},{\"data\":{\"text\":\"The custom PC example from Google is a good signal: a cart that flags product incompatibilities moves from passive container to decision assistant. That is valuable. It is also sensitive. The moment an agent recommends substitutions or prioritizes offers, product ranking, merchant fairness, affiliate incentives, and user trust become central design questions.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"The Strategic Pattern: One Agentic Layer Across Many Products\",\"level\":2},\"type\":\"header\"},{\"data\":{\"text\":\"Search, Workspace, and Shopping look like different stories, but strategically they point in the same direction. Google is building an agentic layer that can live across discovery, productivity, communication, commerce, and device surfaces. That is why this topic cannot be treated as a random list of feature updates. It is a platform consolidation move.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"The same pattern appears in the rest of the Google I\u002FO 2026 cluster. Models provide reasoning and action capability. Developer tools provide orchestration and execution surfaces. Android XR and intelligent eyewear move the assistant into live physical context. Search, Workspace, and Shopping turn that same assistant logic into daily product behavior.\"},\"type\":\"paragraph\"},{\"data\":{\"items\":[\"Search becomes the discovery and research agent surface.\",\"Workspace becomes the productivity and personal workflow agent surface.\",\"Shopping becomes the commerce and decision-support agent surface.\",\"Gemini becomes the connective tissue across the system.\"],\"style\":\"unordered\"},\"type\":\"list\"},{\"data\":{\"text\":\"Where This Becomes Technically Hard\",\"level\":2},\"type\":\"header\"},{\"data\":{\"text\":\"The hard problem is not producing impressive demos. The hard problem is keeping agentic product behavior safe, reversible, explainable, and user-controlled at scale. Search agents need grounding and evidence. Workspace agents need permission boundaries and confirmation rules. Shopping agents need transparent recommendations and merchant neutrality. Cross-product agents need identity, memory, privacy, and audit trails.\"},\"type\":\"paragraph\"},{\"data\":{\"code\":\"agenticProductRequirements = { grounding: \\\"show sources and reasoning boundaries\\\", confirmation: \\\"ask before high-impact actions\\\", reversibility: \\\"make actions undoable where possible\\\", privacy: \\\"limit context sharing across products\\\", auditability: \\\"keep visible user-facing action history\\\", fairness: \\\"avoid hidden ranking manipulation\\\"\\n};\"},\"type\":\"code\"},{\"data\":{\"text\":\"This is where consumer-facing agents start to overlap with serious platform engineering. The more useful the assistant becomes, the more it needs controls normally associated with enterprise systems: versioning, permissions, logs, policy boundaries, rollback behavior, and evaluation. Product polish does not remove that requirement.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"Why This Matters for Publishers, Shops, and Developers\",\"level\":2},\"type\":\"header\"},{\"data\":{\"text\":\"If Google Search becomes more agentic, publishers need to think beyond classic ranking. Content must be structured enough to be retrieved, summarized, compared, and cited in conversational and agentic contexts. If Shopping becomes more agentic, merchants need clean product data, compatibility metadata, policies, reviews, inventory accuracy, and price transparency. If Workspace-style agents become normal, SaaS products need clearer APIs and better permission models.\"},\"type\":\"paragraph\"},{\"data\":{\"items\":[\"Publishers need stronger structured content and clearer topical authority.\",\"Merchants need product data that agents can reason over, not just pages users can browse.\",\"Developers need APIs designed for safe action, not only screen-based interaction.\",\"Product teams need explicit confirmation and undo flows for high-impact tasks.\"],\"style\":\"unordered\"},\"type\":\"list\"},{\"data\":{\"text\":\"This is the practical SEO angle too. If agentic Search starts mediating more journeys, content that is technically clear, semantically structured, and internally well-linked becomes more important. A flat pile of posts is weaker than a coherent hub-and-spoke cluster with clear topical roles.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"The Risk: Agentic Convenience Can Hide Control Loss\",\"level\":2},\"type\":\"header\"},{\"data\":{\"text\":\"Convenience is the selling point. Control is the test. A product agent that can summarize, compare, recommend, schedule, shop, or send messages can save time. But it can also bury decision logic behind a polished interface. Users must be able to see what happened, why it happened, what data was used, and how to reverse or correct the outcome.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"An agentic product is only trustworthy if the user remains the final authority, not the last person to find out what happened.\",\"caption\":\"Consumer AI risk perspective\"},\"type\":\"quote\"},{\"data\":{\"text\":\"That is why the language around Gemini Spark asking before high-stakes actions is important. It signals that Google understands the risk. The real question is whether those controls remain clear and consistent once agents scale across products, subscriptions, devices, and third-party integrations.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"How This Fits the Google I\u002FO 2026 Cluster\",\"level\":2},\"type\":\"header\"},{\"data\":{\"text\":\"This article completes the product layer of the cluster. The \u003Ca href=\\\"\u002Fblog\u002Fgoogle-io-2026-architectural-pivots-agentic-ai-and-the-unified-ecosystem-reality-check\\\">main Google I\u002FO 2026 hub\u003C\u002Fa> explains the platform-level shift. \u003Ca href=\\\"\u002Fblog\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5\\\">Gemini Omni and Gemini 3.5\u003C\u002Fa> covers the model layer. \u003Ca href=\\\"\u002Fblog\u002Fgoogle-io-2026-antigravity-ai-studio-and-google-devtools\\\">Antigravity, AI Studio, and Google DevTools\u003C\u002Fa> covers the developer execution layer. \u003Ca href=\\\"\u002Fblog\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear\\\">Android XR and Intelligent Eyewear\u003C\u002Fa> covers the device layer. This article covers what happens when the same agentic architecture reaches everyday product surfaces.\"},\"type\":\"paragraph\"},{\"data\":{\"text\":\"Related Articles in This Cluster\",\"level\":2},\"type\":\"header\"},{\"data\":{\"items\":[\"\u003Cb>Main Hub:\u003C\u002Fb> \u003Ca href=\\\"\u002Fblog\u002Fgoogle-io-2026-architectural-pivots-agentic-ai-and-the-unified-ecosystem-reality-check\\\">Google I\u002FO 2026: Architectural Pivots, Agentic AI, and the Unified Ecosystem Reality Check\u003C\u002Fa>\",\"\u003Cb>Compute Layer:\u003C\u002Fb> \u003Ca href=\\\"\u002Fblog\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5\\\">Google I\u002FO 2026: Gemini Omni and Gemini 3.5\u003C\u002Fa>\",\"\u003Cb>Developer Tooling:\u003C\u002Fb> \u003Ca href=\\\"\u002Fblog\u002Fgoogle-io-2026-antigravity-ai-studio-and-google-devtools\\\">Google I\u002FO 2026: Antigravity, AI Studio, and Google DevTools\u003C\u002Fa>\",\"\u003Cb>Android, XR, and Device Surfaces:\u003C\u002Fb> \u003Ca href=\\\"\u002Fblog\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear\\\">Google I\u002FO 2026: Android XR and Intelligent Eyewear\u003C\u002Fa>\"],\"style\":\"unordered\"},\"type\":\"list\"},{\"data\":{\"text\":\"Final Perspective\",\"level\":2},\"type\":\"header\"},{\"data\":{\"text\":\"Google I\u002FO 2026 shows that agentic AI is moving from model demos into everyday product surfaces. Search becomes more conversational and action-oriented. Workspace gets closer to a personal operating layer. Shopping becomes a persistent reasoning surface through Universal Cart. This is not just feature expansion. It is Google attempting to make Gemini the connective agent across information, work, commerce, and devices. The opportunity is huge, but the test is control: users must understand what the agent is doing, why it is doing it, and when they remain in charge.\"},\"type\":\"paragraph\"},{\"data\":{},\"type\":\"delimiter\"}],\"version\":\"2.30.8\"}",{"time":409,"blocks":410,"version":570},1774828800000,[411,414,417,420,423,426,433,437,440,443,446,449,452,455,458,461,468,471,474,477,480,483,486,489,492,495,498,505,508,511,514,517,520,523,530,533,536,539,543,546,549,552,555,562,565,568],{"data":412,"type":217},{"text":413},"\u003Cb>Google I\u002FO 2026\u003C\u002Fb> made one thing clear: agentic AI is no longer being kept inside developer tools or model demos. Google is pushing agents into the products people already use every day: Search, Gemini, Workspace, Shopping, YouTube, Gmail, and the broader Android-linked ecosystem. That is why this article is the \u003Cb>agentic consumer products spoke\u003C\u002Fb> inside the larger \u003Ca href=\"\u002Fblog\u002Fgoogle-io-2026-architectural-pivots-agentic-ai-and-the-unified-ecosystem-reality-check\">Google I\u002FO 2026 architectural hub\u003C\u002Fa>.",{"data":415,"type":217},{"text":416},"The technical story is not only that Google added more AI features. The deeper shift is that Google is turning product surfaces into action surfaces. Search is becoming more conversational and agentic. Workspace is moving from writing help toward task execution. Shopping is becoming a persistent cart-and-decision system. Gemini Spark is positioned as a personal agent that can connect across Google products and act under user direction.",{"data":418,"type":217},{"text":419},"That connects directly to the other articles in this cluster. The underlying model capability is covered in \u003Ca href=\"\u002Fblog\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5\">Gemini Omni and Gemini 3.5\u003C\u002Fa>. The developer-side orchestration layer is covered in \u003Ca href=\"\u002Fblog\u002Fgoogle-io-2026-antigravity-ai-studio-and-google-devtools\">Antigravity, AI Studio, and Google DevTools\u003C\u002Fa>. The physical interface layer is covered in \u003Ca href=\"\u002Fblog\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear\">Android XR and Intelligent Eyewear\u003C\u002Fa>. This article focuses on what happens when that same agentic direction reaches consumer and productivity products.",{"data":421,"type":42},{"text":422,"level":227},"The Product Shift: From Assistance to Delegation",{"data":424,"type":217},{"text":425},"Older AI product features were mostly assistive. They summarized, rewrote, suggested, or answered. Google I\u002FO 2026 shows a stronger move toward delegation. The user asks for an outcome, and the system begins coordinating information, context, tools, and follow-up actions. That is a different product model. It changes user expectations and it changes engineering risk.",{"data":427,"type":239},{"items":428,"style":238},[429,430,431,432],"Search becomes less about one query and more about ongoing research and agentic help.","Workspace becomes less about document assistance and more about work coordination.","Shopping becomes less about product discovery and more about intent-aware cart management.","Gemini becomes less like a chatbot and more like a personal agent layer across Google products.",{"data":434,"type":244},{"text":435,"caption":436},"The real shift is not from search results to AI answers. The real shift is from answers to actions.","Product architecture perspective",{"data":438,"type":42},{"text":439,"level":227},"Search: From Query Box to Agentic Surface",{"data":441,"type":217},{"text":442},"Google’s I\u002FO 2026 Search announcement describes a new era for AI Search, with advanced model capabilities enabling users to access agents by asking a question. It also introduces a new AI-powered Search box, which Google frames as the biggest upgrade to Search in more than 25 years. That phrasing is not small. It suggests Google sees Search itself becoming a front door to agentic behavior.",{"data":444,"type":217},{"text":445},"The important product change is that Search no longer needs to stop at retrieval. It can become a workflow entry point. Instead of asking one question and manually stitching together the next five steps, the user can ask for help that spans exploration, synthesis, comparison, planning, and sometimes action. That is powerful, but it also raises obvious questions about citations, ranking neutrality, source diversity, and user control.",{"data":447,"type":257},{"code":448},"\u002F\u002F Old Search pattern\nquery -> ranked links -> user decides next step \u002F\u002F Agentic Search pattern\nintent -> model reasoning -> source grounding -> action options -> user confirmation",{"data":450,"type":217},{"text":451},"This is why the Search story belongs in the same cluster as Gemini 3.5. A search agent needs strong reasoning, speed, source handling, and execution discipline. If the model layer is weak, Search becomes overconfident. If the product layer is weak, the user loses control. If the ranking and evidence layer is weak, the whole system becomes harder to trust.",{"data":453,"type":42},{"text":454,"level":227},"Workspace: Gemini Spark and the Personal Agent Direction",{"data":456,"type":217},{"text":457},"Workspace is where the agentic shift becomes very personal. Google’s I\u002FO 2026 Workspace updates present \u003Cb>Gemini Spark\u003C\u002Fb> as a 24\u002F7 personal AI agent that helps users navigate their digital life and acts on their behalf under their direction. Google also says Spark can connect across Google products and is designed to ask first before high-stakes actions such as sending emails or adding calendar events.",{"data":459,"type":217},{"text":460},"That last point matters. If an agent can touch Gmail, Calendar, Docs, Drive, and other productivity surfaces, the trust boundary becomes much more serious. A wrong paragraph suggestion is annoying. A wrong email, calendar action, file permission change, or automated follow-up can create real operational damage.",{"data":462,"type":239},{"items":463,"style":238},[464,465,466,467],"Email management and summarization become task-routing problems.","Calendar and scheduling become permission-sensitive execution problems.","Docs and collaboration become shared-context problems.","Cross-product action becomes a governance and confirmation problem.",{"data":469,"type":257},{"code":470},"\u002F\u002F Personal productivity agent control pattern\nif action.risk == \"high\": require_user_confirmation() show_action_preview() log_decision()\nelse: execute_with_visible_history()",{"data":472,"type":217},{"text":473},"The product promise is obvious: less administrative drag, fewer context switches, and more continuity across daily work. The risk is also obvious: once the agent becomes useful enough to act, it must become controlled enough to trust.",{"data":475,"type":42},{"text":476,"level":227},"Shopping: Universal Cart and Agentic Commerce",{"data":478,"type":217},{"text":479},"Shopping may be the most commercially important part of the I\u002FO 2026 agentic product story. Google introduced \u003Cb>Universal Cart\u003C\u002Fb> as an intelligent, proactive shopping cart built to work across merchants and services. Google describes it as a hub where users can add items while browsing Search, chatting with Gemini, watching YouTube, or reading Gmail.",{"data":481,"type":217},{"text":482},"That is not just a cart feature. It is a commerce control layer. If the cart can persist across product discovery surfaces, reason about compatibility, understand loyalty information and payment perks, and suggest better alternatives, then Google is not merely helping users buy. It is shaping the buying workflow itself.",{"data":484,"type":257},{"code":485},"\u002F\u002F Universal Cart is not just storage\ncart.add(item)\ncart.checkCompatibility(items)\ncart.compareMerchantOffers()\ncart.applyWalletContext()\ncart.suggestAlternatives()\ncart.prepareCheckout()",{"data":487,"type":217},{"text":488},"The custom PC example from Google is a good signal: a cart that flags product incompatibilities moves from passive container to decision assistant. That is valuable. It is also sensitive. The moment an agent recommends substitutions or prioritizes offers, product ranking, merchant fairness, affiliate incentives, and user trust become central design questions.",{"data":490,"type":42},{"text":491,"level":227},"The Strategic Pattern: One Agentic Layer Across Many Products",{"data":493,"type":217},{"text":494},"Search, Workspace, and Shopping look like different stories, but strategically they point in the same direction. Google is building an agentic layer that can live across discovery, productivity, communication, commerce, and device surfaces. That is why this topic cannot be treated as a random list of feature updates. It is a platform consolidation move.",{"data":496,"type":217},{"text":497},"The same pattern appears in the rest of the Google I\u002FO 2026 cluster. Models provide reasoning and action capability. Developer tools provide orchestration and execution surfaces. Android XR and intelligent eyewear move the assistant into live physical context. Search, Workspace, and Shopping turn that same assistant logic into daily product behavior.",{"data":499,"type":239},{"items":500,"style":238},[501,502,503,504],"Search becomes the discovery and research agent surface.","Workspace becomes the productivity and personal workflow agent surface.","Shopping becomes the commerce and decision-support agent surface.","Gemini becomes the connective tissue across the system.",{"data":506,"type":42},{"text":507,"level":227},"Where This Becomes Technically Hard",{"data":509,"type":217},{"text":510},"The hard problem is not producing impressive demos. The hard problem is keeping agentic product behavior safe, reversible, explainable, and user-controlled at scale. Search agents need grounding and evidence. Workspace agents need permission boundaries and confirmation rules. Shopping agents need transparent recommendations and merchant neutrality. Cross-product agents need identity, memory, privacy, and audit trails.",{"data":512,"type":257},{"code":513},"agenticProductRequirements = { grounding: \"show sources and reasoning boundaries\", confirmation: \"ask before high-impact actions\", reversibility: \"make actions undoable where possible\", privacy: \"limit context sharing across products\", auditability: \"keep visible user-facing action history\", fairness: \"avoid hidden ranking manipulation\"\n};",{"data":515,"type":217},{"text":516},"This is where consumer-facing agents start to overlap with serious platform engineering. The more useful the assistant becomes, the more it needs controls normally associated with enterprise systems: versioning, permissions, logs, policy boundaries, rollback behavior, and evaluation. Product polish does not remove that requirement.",{"data":518,"type":42},{"text":519,"level":227},"Why This Matters for Publishers, Shops, and Developers",{"data":521,"type":217},{"text":522},"If Google Search becomes more agentic, publishers need to think beyond classic ranking. Content must be structured enough to be retrieved, summarized, compared, and cited in conversational and agentic contexts. If Shopping becomes more agentic, merchants need clean product data, compatibility metadata, policies, reviews, inventory accuracy, and price transparency. If Workspace-style agents become normal, SaaS products need clearer APIs and better permission models.",{"data":524,"type":239},{"items":525,"style":238},[526,527,528,529],"Publishers need stronger structured content and clearer topical authority.","Merchants need product data that agents can reason over, not just pages users can browse.","Developers need APIs designed for safe action, not only screen-based interaction.","Product teams need explicit confirmation and undo flows for high-impact tasks.",{"data":531,"type":217},{"text":532},"This is the practical SEO angle too. If agentic Search starts mediating more journeys, content that is technically clear, semantically structured, and internally well-linked becomes more important. A flat pile of posts is weaker than a coherent hub-and-spoke cluster with clear topical roles.",{"data":534,"type":42},{"text":535,"level":227},"The Risk: Agentic Convenience Can Hide Control Loss",{"data":537,"type":217},{"text":538},"Convenience is the selling point. Control is the test. A product agent that can summarize, compare, recommend, schedule, shop, or send messages can save time. But it can also bury decision logic behind a polished interface. Users must be able to see what happened, why it happened, what data was used, and how to reverse or correct the outcome.",{"data":540,"type":244},{"text":541,"caption":542},"An agentic product is only trustworthy if the user remains the final authority, not the last person to find out what happened.","Consumer AI risk perspective",{"data":544,"type":217},{"text":545},"That is why the language around Gemini Spark asking before high-stakes actions is important. It signals that Google understands the risk. The real question is whether those controls remain clear and consistent once agents scale across products, subscriptions, devices, and third-party integrations.",{"data":547,"type":42},{"text":548,"level":227},"How This Fits the Google I\u002FO 2026 Cluster",{"data":550,"type":217},{"text":551},"This article completes the product layer of the cluster. The \u003Ca href=\"\u002Fblog\u002Fgoogle-io-2026-architectural-pivots-agentic-ai-and-the-unified-ecosystem-reality-check\">main Google I\u002FO 2026 hub\u003C\u002Fa> explains the platform-level shift. \u003Ca href=\"\u002Fblog\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5\">Gemini Omni and Gemini 3.5\u003C\u002Fa> covers the model layer. \u003Ca href=\"\u002Fblog\u002Fgoogle-io-2026-antigravity-ai-studio-and-google-devtools\">Antigravity, AI Studio, and Google DevTools\u003C\u002Fa> covers the developer execution layer. \u003Ca href=\"\u002Fblog\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear\">Android XR and Intelligent Eyewear\u003C\u002Fa> covers the device layer. This article covers what happens when the same agentic architecture reaches everyday product surfaces.",{"data":553,"type":42},{"text":554,"level":227},"Related Articles in This Cluster",{"data":556,"type":239},{"items":557,"style":238},[558,559,560,561],"\u003Cb>Main Hub:\u003C\u002Fb> \u003Ca href=\"\u002Fblog\u002Fgoogle-io-2026-architectural-pivots-agentic-ai-and-the-unified-ecosystem-reality-check\">Google I\u002FO 2026: Architectural Pivots, Agentic AI, and the Unified Ecosystem Reality Check\u003C\u002Fa>","\u003Cb>Compute Layer:\u003C\u002Fb> \u003Ca href=\"\u002Fblog\u002Fgoogle-io-2026-gemini-omni-and-gemini-3-5\">Google I\u002FO 2026: Gemini Omni and Gemini 3.5\u003C\u002Fa>","\u003Cb>Developer Tooling:\u003C\u002Fb> \u003Ca href=\"\u002Fblog\u002Fgoogle-io-2026-antigravity-ai-studio-and-google-devtools\">Google I\u002FO 2026: Antigravity, AI Studio, and Google DevTools\u003C\u002Fa>","\u003Cb>Android, XR, and Device Surfaces:\u003C\u002Fb> \u003Ca href=\"\u002Fblog\u002Fgoogle-io-2026-android-xr-and-intelligent-eyewear\">Google I\u002FO 2026: Android XR and Intelligent Eyewear\u003C\u002Fa>",{"data":563,"type":42},{"text":564,"level":227},"Final Perspective",{"data":566,"type":217},{"text":567},"Google I\u002FO 2026 shows that agentic AI is moving from model demos into everyday product surfaces. Search becomes more conversational and action-oriented. Workspace gets closer to a personal operating layer. Shopping becomes a persistent reasoning surface through Universal Cart. This is not just feature expansion. It is Google attempting to make Gemini the connective agent across information, work, commerce, and devices. The opportunity is huge, but the test is control: users must understand what the agent is doing, why it is doing it, and when they remain in charge.",{"data":569,"type":379},{},"2.30.8","Google I\u002FO 2026 showed that agentic AI is moving beyond model demos and developer tools into everyday product surfaces. This article breaks down how Search, Workspace, Gemini Spark, and Universal Cart point toward a new product model where Google agents help users research, work, shop, and act across connected services.",{"lang":7,"title":208,"content":210,"contentJson":573,"excerpt":381},{"time":212,"blocks":574,"version":380},[575,577,579,581,583,585,588,590,592,594,596,598,600,602,604,606,609,611,613,615,617,619,621,623,625,627,629,632,634,636,638,640,642,644,647,649,651,653,655,657,659,661,663,666,668,670],{"data":576,"type":217},{"text":216},{"data":578,"type":217},{"text":220},{"data":580,"type":217},{"text":223},{"data":582,"type":42},{"text":226,"level":227},{"data":584,"type":217},{"text":230},{"data":586,"type":239},{"items":587,"style":238},[234,235,236,237],{"data":589,"type":244},{"text":242,"caption":243},{"data":591,"type":42},{"text":247,"level":227},{"data":593,"type":217},{"text":250},{"data":595,"type":217},{"text":253},{"data":597,"type":257},{"code":256},{"data":599,"type":217},{"text":260},{"data":601,"type":42},{"text":263,"level":227},{"data":603,"type":217},{"text":266},{"data":605,"type":217},{"text":269},{"data":607,"type":239},{"items":608,"style":238},[273,274,275,276],{"data":610,"type":257},{"code":279},{"data":612,"type":217},{"text":282},{"data":614,"type":42},{"text":285,"level":227},{"data":616,"type":217},{"text":288},{"data":618,"type":217},{"text":291},{"data":620,"type":257},{"code":294},{"data":622,"type":217},{"text":297},{"data":624,"type":42},{"text":300,"level":227},{"data":626,"type":217},{"text":303},{"data":628,"type":217},{"text":306},{"data":630,"type":239},{"items":631,"style":238},[310,311,312,313],{"data":633,"type":42},{"text":316,"level":227},{"data":635,"type":217},{"text":319},{"data":637,"type":257},{"code":322},{"data":639,"type":217},{"text":325},{"data":641,"type":42},{"text":328,"level":227},{"data":643,"type":217},{"text":331},{"data":645,"type":239},{"items":646,"style":238},[335,336,337,338],{"data":648,"type":217},{"text":341},{"data":650,"type":42},{"text":344,"level":227},{"data":652,"type":217},{"text":347},{"data":654,"type":244},{"text":350,"caption":351},{"data":656,"type":217},{"text":354},{"data":658,"type":42},{"text":357,"level":227},{"data":660,"type":217},{"text":360},{"data":662,"type":42},{"text":363,"level":227},{"data":664,"type":239},{"items":665,"style":238},[367,368,369,370],{"data":667,"type":42},{"text":373,"level":227},{"data":669,"type":217},{"text":376},{"data":671,"type":379},{},"Post erfolgreich abgerufen",{"items":674,"source":759,"manualIds":760,"manualMatchedIds":761},[675,682,689,696,703,710,717,724,731,738,745,752],{"id":676,"slug":677,"title":678,"excerpt":679,"featuredImage":680,"publishedAt":681},"477","computer-use-agents-why-a-successful-demo-can-still-be-an-unreliable-system","Agenti za korišćenje računara: Zašto uspešan demo i dalje može biti nepouzdan sistem","Agenti za korišćenje računara sada mogu da završe impresivne radne tokove u pregledaču i na radnoj površini, ali jedno uspešno izvršavanje dokazuje sposobnost—ne pouzdanost. Ovaj članak pokazuje kako testirati ponovljivost, robusnost u odnosu na okruženje, kontrolu dugog horizonta, svest o stanju, verifikaciju ishoda i bezbedno upravljanje ciljevima.","\u002Fuploads\u002F2026\u002F09\u002Fcomputer-use-agents-why-a-successful-demo-can-still-be-an-unreliable-system-1790352854690-75qnrg.webp","2026-09-25T12:13:00.000Z",{"id":683,"slug":684,"title":685,"excerpt":686,"featuredImage":687,"publishedAt":688},"486","source-of-truth-in-ai-systems-where-reliable-knowledge-actually-comes-from","Izvor istine u AI sistemima: Odakle pouzdano znanje zaista dolazi","Izvor istine definiše koji je izvor merodavan za određenu činjenicu ili stanje. Saznajte kako se razlikuje od RAG-a, porekla, memorije, konteksta, vektorskih baza podataka i sistema evidencije.","\u002Fuploads\u002F2026\u002F10\u002Fsource-of-truth-in-ai-systems-where-reliable-knowledge-actually-comes-from-1791479103235-6bq9em.webp","2026-10-08T13:02:00.000Z",{"id":690,"slug":691,"title":692,"excerpt":693,"featuredImage":694,"publishedAt":695},"437","metrics","Sveobuhvatni vodič za metrike u isporuci i upravljanju promenama","Ovaj vodič pruža detaljan pregled osnovnih metrika za isporuku i upravljanje promenama u preduzećima, pomažući timovima da mere performanse, optimizuju procese i podstiču kontinuirano poboljšanje. Otkrijte ključne indikatore, metode izračunavanja i najbolje prakse za usklađivanje metrika sa poslovnim ishodima.","\u002Fuploads\u002F2026\u002F06\u002Fmetrics-1781624416316-4nsuwg.webp","2026-03-01T17:51:00.000Z",{"id":697,"slug":698,"title":699,"excerpt":700,"featuredImage":701,"publishedAt":702},"494","air-gapped-ai-how-ai-systems-work-without-internet-or-cloud-access","Air-Gapped AI: Kako AI sistemi funkcionišu bez interneta ili pristupa oblaku","Air-gapped AI pokreće modele, RAG i AI aplikacije unutar izolovanog bezbednosnog domena bez internet ili cloud zavisnosti. Saznajte kako modeli, podaci, ažuriranja i alati funkcionišu offline.","\u002Fuploads\u002F2026\u002F10\u002Fair-gapped-ai-how-ai-systems-work-without-internet-or-cloud-access-1791487983978-e6xqf0.webp","2026-10-08T11:32:00.000Z",{"id":704,"slug":705,"title":706,"excerpt":707,"featuredImage":708,"publishedAt":709},"475","managed-agent-harness-vs-self-hosted-agent-loop-what-you-gain-what-you-lose","Upravljani harness za agente naspram samostalno hostovane petlje agenta: Šta dobijate, šta gubite","“Samostalno hostovani agent” može značiti veoma različite arhitekture. Ovaj vodič razgraničava upravljani harness, samostalno hostovano okruženje za izvršavanje i potpuno samostalno upravljanu petlju agenta—i pokazuje koja je granica kontrole timovima zapravo potrebna.","\u002Fuploads\u002F2026\u002F09\u002Fmanaged-agent-harness-vs-self-hosted-agent-loop-what-you-gain-what-you-lose-1790352403475-kj10jh.webp","2026-09-25T12:05:00.000Z",{"id":711,"slug":712,"title":713,"excerpt":714,"featuredImage":715,"publishedAt":716},"478","what-is-rag-the-simplest-explanation-of-how-it-works","Šta je RAG? Najjednostavnije objašnjenje kako funkcioniše","RAG zvuči komplikovano, ali ideja je jednostavna: pre nego što AI odgovori, prvo potraži korisne informacije iz izvora znanja i daje te informacije jezičkom modelu. Ovaj vodič objašnjava RAG, LLM-ove, stanje, memoriju i alate koristeći jedan jednostavan mentalni model.","\u002Fuploads\u002F2026\u002F09\u002Fwhat-is-rag-the-simplest-explanation-of-how-it-works-1790377492124-khjagt.webp","2026-09-25T19:03:00.000Z",{"id":718,"slug":719,"title":720,"excerpt":721,"featuredImage":722,"publishedAt":723},"466","the-gpu-is-not-the-product-future-proof-private-ai-architecture","GPU nije proizvod: Privatna AI arhitektura spremna za budućnost","Privatna AI infrastruktura ne bi trebalo da bude projektovana oko jednog GPU-a ili jednog modela. Otporniji pristup kombinuje brze GPU-ove za inferenciju, memorijski bogate AI sisteme, čvorove za fizički AI i opcione vodeće modele u oblaku iza sloja za rutiranje koji prepoznaje mogućnosti.","\u002Fuploads\u002F2026\u002F09\u002Fthe-gpu-is-not-the-product-future-proof-private-ai-architecture-1790140878812-8hsl39.webp","2026-09-23T01:19:00.000Z",{"id":725,"slug":726,"title":727,"excerpt":728,"featuredImage":729,"publishedAt":730},"458","wifi7-openwrt-5g-router-next-step","Sledeći OpenWrt 5G ruter: Zašto su Wi-Fi 7, jači procesor i bolji firmver važni","ZBT Z8102AX je koristan prvi uzorak, ali sledeći korak bi trebalo da bude snažniji: Wi-Fi 7, moćnija četvorojezgarna platforma, bolja jasnoća firmvera, poboljšano pakovanje i stabilnija politika cena. Cilj nije samo još jedan 5G ruter, već bolje konfigurisan prosumer uređaj zasnovan na OpenWrt-u.","\u002Fuploads\u002F2026\u002F06\u002Fopenwrt-router-review-dual-sim-01-1781620588908-fwmzj7.webp","2026-06-16T10:41:00.000Z",{"id":732,"slug":733,"title":734,"excerpt":735,"featuredImage":736,"publishedAt":737},"491","ai-governance-models-data-permissions-risk-and-auditability","Upravljanje veštačkom inteligencijom: Modeli, podaci, dozvole, rizik i mogućnost revizije","Upravljanje veštačkom inteligencijom definiše ko može da odobri, upravlja, menja i revidira sisteme veštačke inteligencije kroz modele, pružaoce usluga, podatke, dozvole, rizik, evaluaciju i ceo životni ciklus.","\u002Fuploads\u002F2026\u002F10\u002Fai-governance-models-data-permissions-risk-and-auditability-1791485901301-g60xyu.webp","2026-10-08T14:56:00.000Z",{"id":739,"slug":740,"title":741,"excerpt":742,"featuredImage":743,"publishedAt":744},"455","zbt-z8102ax-dual-sim-failover-test","ZBT Z8102AX Dual-SIM failover: Šta radi, šta nedostaje i šta zahteva bolji firmver","ZBT Z8102AX je dual-SIM 5G OpenWrt ruter, ali sam dual-SIM hardver nije isto što i inteligentni failover. Ruter prepoznaje SIM karticu i uspešno se povezuje, ali automatsko prebacivanje, oporavak modema, odluke zasnovane na signalu i čista failover logika i dalje zahtevaju dublje testiranje.","\u002Fuploads\u002F2026\u002F06\u002Fopenwrt-router-review-dual-sim-03-1781620592829-7t77j7.webp","2026-06-16T10:40:00.000Z",{"id":746,"slug":747,"title":748,"excerpt":749,"featuredImage":750,"publishedAt":751},"384","new-qwen-3-5-plus","Novi Qwen 3.5-Plus: AI otvorenog koda je upravo postao ozbiljan.","Otkrijte revolucionarne funkcije i prednosti Alibabinog Qwen 3.5-Plus modela, AI otvorenog koda koji menja pravila igre za programere.","\u002Fuploads\u002F2026\u002F02\u002Fnew-qwen-3-5-plus-1771515512741-dcbi9p.webp","2026-02-19T10:23:00.000Z",{"id":753,"slug":754,"title":755,"excerpt":756,"featuredImage":757,"publishedAt":758},"487","vector-databases-embeddings-and-reranking-three-different-parts-of-retrieval","Vektorske baze podataka, ugrađivanja i ponovno rangiranje: Tri različita dela pretraživanja","Embedinzi predstavljaju značenje, vektorske baze podataka pronalaze kandidate, a rerangirači prečišćavaju rezultate. Saznajte kako se ova tri sloja pronalaženja razlikuju i kako rade zajedno u RAG-u.","\u002Fuploads\u002F2026\u002F10\u002Fvector-databases-embeddings-and-reranking-three-different-parts-of-retrieval-1791480129884-9dtasz.webp","2026-10-08T11:21:00.000Z","fallback",[],[]]