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  • Crea experiencias inteligentes con Siri mediante App Schemas

    Lleva el contenido y las acciones de tu app a Siri con App Intents. Modela tus datos utilizando App Entities, implementa App Schemas para habilitar potentes acciones del sistema y ofrece interacciones en lenguaje natural impulsadas por Apple Intelligence. Descubre cómo habilitar la búsqueda semántica, realizar acciones en diferentes apps y crear experiencias contextuales mediante el reconocimiento de la pantalla y la transferencia de contenido. Descubre las mejores prácticas y las herramientas de prueba para crear experiencias con Siri rápidas y confiables.

    Capítulos

    • 0:00 - Introduction
    • 1:06 - What's new in Siri
    • 4:06 - Contributing content with App Entities
    • 6:21 - Entity resolution and IndexedEntity
    • 9:49 - Making actions available
    • 12:03 - Adopting a schema domain in UnicornChat
    • 15:39 - Moving content across apps
    • 16:00 - Working across apps: onscreen awareness
    • 21:09 - Best practices
    • 24:18 - Testing your integration
    • 26:21 - Next steps

    Recursos

    • Integrating your messaging app with Apple Intelligence
    • Donating your app’s data and actions to the system
    • Making app entities available in Spotlight
    • Making actions and content discoverable by Apple Intelligence
    • Providing contextual cues to Apple Intelligence and Siri
    • Apple Intelligence and Siri AI
    • Messages
    • App schema domains
      • Video HD
      • Video SD

    Videos relacionados

    WWDC26

    • Explora las funcionalidades avanzadas de App Intents para Siri y Apple Intelligence
    • Tutorial de programación: Haz que tu app sea compatible con Siri
  • Buscar este video…
    • 7:59 - Contributing message content to Apple Intelligence

      // Contributing message content to Apple Intelligence
        
        @AppEntity(schema: .messages.message)
        struct MessageEntity: IndexedEntity {
      
            // The text content of the message
            @Property(indexingKey: \.textContent)
            var body: AttributedString?
        }
    • 8:36 - An interface that locates entities using arbitrary string input

      // An interface that locates entities using arbitrary string input
      
        struct ContactQuery: EntityStringQuery {
            func entities(matching string: String) async throws -> [ContactEntity] {
                let predicate = #Predicate<Person> { person in
                    person.name.localizedStandardContains(string)
                }
                let descriptor = FetchDescriptor<Person>(predicate: predicate)
                let matches = try modelContext.fetch(descriptor)
                return matches.map(\.entity)
            }
        }
    • 17:19 - Working across apps - View annotations

      // Working across apps - View annotations
        
        List {
            ForEach(messages) { message in
                MessageRow(message: message)
                    .appEntityIdentifier(
                        EntityIdentifier(
                            for: MessageEntity.self,
                            identifier: message.id
                        )
                    )
            }
        }
    • 18:18 - Working across apps - Exporting content to another app

      // Working across apps - Exporting content to another app
        
        extension ContactEntity: Transferable {
      
            static var transferRepresentation: some TransferRepresentation {
                IntentValueRepresentation(
                    exporting: \.person
                )
            }
        }
    • 19:21 - Working across apps - IntentValueQuery

      // Working across apps - IntentValueQuery
      
        struct ContactEntityQuery: IntentValueQuery {
      
            func values(for input: [IntentPerson]) async throws -> [ContactEntity] {
                let names = input.map(\.displayName)
                let descriptor = FetchDescriptor<Contact>()
                let contacts = try model.mainContext.fetch(descriptor)
                let matches = contacts.filter { contact in
                    names.contains(where: { name in
                        contact.name.localizedStandardContains(name)
                    })
                }
                return matches.map(\.entity)
            }
        }
    • 20:00 - Working across apps - IntentValueRepresentation

      // Working across apps - IntentValueRepresentation
      
        extension ContactEntity: Transferable {
      
            static var transferRepresentation: some TransferRepresentation {
                IntentValueRepresentation(exporting: \.person, importing: { intentPerson in                    
                    let contact = Contact(importing: intentPerson)
                    ContactManager.shared.contacts.append(contact)
                    return contact.entity
                })
            }
        }
    • 0:00 - Introduction
    • How App Intents bring your app to Siri, made more capable, contextual, and personal by Apple Intelligence in the 27 releases. Previews the agenda: what's new, contributing content, making actions available, working across apps, and best practices.

    • 1:06 - What's new in Siri
    • Siri gains three capabilities built on App Intents: accessing your app's entities, taking action through your intents, and understanding onscreen context. Introduces the UnicornChat sample app used throughout the session.

    • 4:06 - Contributing content with App Entities
    • Model your app's content as App Entities (what a thing is, how it's identified, and which properties matter), then conform them to an App Schema so Siri understands the category of content.

    • 6:21 - Entity resolution and IndexedEntity
    • How Siri resolves spoken references to real entities. Adopt IndexedEntity for semantic search and content Q&A over indexed content, using indexingKey to mark searchable properties, or EntityStringQuery when data can't be indexed ahead of time.

    • 9:49 - Making actions available
    • App Intents expose actions across Shortcuts, Spotlight, and Widgets. Conforming intents to App Schemas, and grouping them into App Schema domains, makes those actions executable by Siri through natural language.

    • 12:03 - Adopting a schema domain in UnicornChat
    • End-to-end walkthrough of adopting the Messages domain's sendMessage schema: mapping schema parameters onto UnicornChat's messaging flow and returning the sent message as an entity, so Siri can send messages without opening the app.

    • 15:39 - Moving content across apps
    • Export entities with Transferable and IntentValueRepresentation so other apps can act on them. On import, use IntentValueQuery to match existing content or IntentValueRepresentation(importing:) to create something new.

    • 16:00 - Working across apps: onscreen awareness
    • Requests that span apps rely on onscreen awareness. Connect views to App Entities, via NSUserActivity for a single primary item or view annotations for multiple visible items, so Siri can resolve references like "this" and "that."

    • 21:09 - Best practices
    • Design for complete Siri conversations by adopting full schema sets. Xcode surfaces missing related schemas (for example draftMessage alongside sendMessage) at build time with Fix-Its.

    • 24:18 - Testing your integration
    • Validate progressively: App Intents Testing for business logic in isolation, then the Shortcuts app for intent shape, Spotlight for content indexing, and finally Siri for the full end-to-end experience.

    • 26:21 - Next steps
    • Model and index entities, adopt the App Schema domains matching your app, enable content transfer with Transferable, and test early with Shortcuts, Spotlight, and Siri.

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