Hyper AI Agent OS

Overview概述

The AI Agent Operating System for Earbuds, Glasses, and Audio Wearables面向耳机、眼镜与音频可穿戴设备的 AI Agent 操作系统

Version 2.1 | July 2026版本 2.1 | 2026 年 7 月

About this technical overview关于本技术说明

This technical overview presents the product definition, system architecture, capabilities, commercial framework, and supported partner integration options for Hyper AI Agent OS. It is written for hardware brands, OEM and ODM partners, channel operators, business customers, education and training organizations, and other users evaluating AI capabilities for earbuds, glasses, and audio wearable devices.本技术说明阐述了 Hyper AI Agent OS 的产品定义、系统架构、核心能力、商业框架，以及所支持的合作伙伴集成方案。本文面向硬件品牌、OEM 与 ODM 合作伙伴、渠道运营商、企业客户、教育培训机构，以及其他正在评估耳机、眼镜与音频可穿戴设备 AI 能力的用户。

The document is based on Hyper AI product materials and the current product status supplied for this publication. It is not a contractual specification. Final capabilities, language combinations, model providers, latency, accuracy, platform permissions, device compatibility, storage, usage allowances, service levels, support scope, and pricing are governed by the applicable product release, device model, region, commercial package, and customer agreement.本文基于 Hyper AI 产品资料及本次发布所提供的当前产品状态编写，不构成合同性规格说明。最终的能力、语言组合、模型提供商、延迟、准确性、平台权限、设备兼容性、存储、使用额度、服务等级、支持范围与定价，均以适用的产品版本、设备型号、地区、商业套餐及客户协议为准。

00 Executive Summary00 执行摘要

The strategic case for an AI Agent operating system for audio wearables面向音频可穿戴设备的 AI Agent 操作系统的战略价值

Artificial intelligence is moving beyond the chat window and into real-world situations. For wearable devices, the most natural, frequent, and continuous interaction surface is not a screen; it is sound. People listen, speak, negotiate, learn, receive notifications, and make decisions in environments where continuous screen use is inconvenient or impossible.人工智能正在走出聊天窗口，进入真实场景。对于可穿戴设备而言，最自然、最频繁且最持续的交互界面不是屏幕，而是声音。人们在持续使用屏幕不便或不可能的环境中聆听、交谈、协商、学习、接收通知并做出决策。

Hyper AI Agent OS uses earbuds, audio glasses, recording glasses, and capture-enabled wearables as the interface to a coordinated AI system. It combines real-time translation, AI recording, multimedia notes, message intelligence, and a unified Ask AI Agent. The result is a continuous workflow that can transform a meeting, class, customer visit, exhibition conversation, or daily message stream into searchable knowledge and practical deliverables.Hyper AI Agent OS 以耳机、音频眼镜、录音眼镜及具备采集能力的可穿戴设备作为协同 AI 系统的交互界面。它融合实时翻译、AI 录音、多媒体笔记、消息智能与统一的 Ask AI Agent。由此形成连续工作流，可将一场会议、一节课、一次客户拜访、展会对话或日常消息流转化为可检索的知识与实用成果。

The system is designed for practical go-to-market models. A standard Hyper AI App can validate demand quickly with existing Bluetooth devices. Device profiles and activation codes can differentiate a partner hardware portfolio. Supported partner configuration can apply selected branding, content, packages, and device behavior within the standard Hyper AI product framework.本系统面向可落地的上市模式而设计。标准版 Hyper AI App 可借助现有蓝牙设备快速验证需求。设备档案与激活码能够区隔合作伙伴的硬件产品组合。受支持的合作伙伴配置可在标准 Hyper AI 产品框架内套用指定的品牌、内容、套餐与设备行为。

Figure 1. The value evolution from a conventional audio device to an AI Agent terminal.图 1. 从传统音频设备到 AI Agent 终端的价值演进。

Executive takeaways核心要点

Product Category产品类别

Hyper AI Agent OS is an AI Agent operating system for wearable and audio devices — not a single-purpose translation application, recorder, or chatbot. It provides the intelligence layer that enables devices to understand, organize, and deliver value from real-world interactions.Hyper AI Agent OS 是面向可穿戴与音频设备的 AI Agent 操作系统，不是单一的翻译应用、录音工具或聊天机器人。它提供智能层，使设备能够理解、组织并从真实交互中交付价值。

Core System Architecture核心系统架构

Hyper AI Agent OS is built around five coordinated agents: Translation Agent, AI Recording Agent, Multimedia Notes Agent, Message Agent, and Ask AI Agent. These agents operate on a shared session context, connecting conversations, recordings, media, messages, and AI-generated outputs.Hyper AI Agent OS 围绕五个协同 Agent 构建：翻译 Agent、AI 录音 Agent、多媒体笔记 Agent、消息 Agent 与 Ask AI Agent。这些 Agent 在共享的会话上下文中运行，把对话、录音、媒体、消息与 AI 生成结果连接起来。

Primary Value Proposition核心价值主张

Hyper AI transforms unstructured real-world information — including speech, conversations, media, and messages — into searchable, reusable, and actionable knowledge assets.Hyper AI 将非结构化的真实世界信息，包括语音、对话、媒体与消息，转化为可检索、可复用且可执行的知识资产。

Wearable Hardware Strategy可穿戴硬件策略

Hyper AI works with existing Bluetooth earbuds and glasses immediately through the Hyper AI App, while unlocking deeper capabilities through devices with independent recording, local storage, cameras, and dedicated hardware controls.Hyper AI 可通过 Hyper AI App 立即适配现有蓝牙耳机与眼镜，同时借助具备独立录音、本地存储、摄像头与专用硬件控制键的设备释放更深度的能力。

Real-World Workflow Advantage真实场景工作流优势

Instead of creating isolated AI functions, Hyper AI connects the complete workflow: Capture → Understand → Organize → Ask → Deliver, turning meetings, classes, customer visits, exhibitions, and daily communication into structured outcomes.Hyper AI 不是堆砌孤立的 AI 功能，而是连接完整工作流：采集 → 理解 → 整理 → 提问 → 交付，把会议、课堂、客户拜访、展会与日常沟通转化为结构化成果。

Partner Deployment Strategy合作伙伴部署策略

Hyper AI supports practical market deployment through:Hyper AI 通过以下方式支撑实际市场落地：

• Standard Hyper AI App标准 Hyper AI App
• Device profiles设备档案
• Hardware activation硬件激活
• Subscription plans订阅套餐
• Supported partner configuration受支持的合作伙伴配置

This enables hardware brands, channels, and device partners to add AI capabilities without rebuilding the entire software stack.这让硬件品牌、渠道与设备合作伙伴无需重建整个软件栈即可叠加 AI 能力。

Commercial and Service Model商业与服务模式

Cloud services, usage allowances, premium capabilities, support levels, and supported configuration scope are defined according to the selected product package and commercial agreement.云服务、用量额度、高级能力、支持等级与受支持的配置范围，均依据所选产品套餐与商业协议确定。

Current Product Scope当前产品范围

Hyper AI focuses on providing a standardized AI wearable platform. Bespoke enterprise applications, private deployment, hybrid private architecture, and custom private-data-export engineering are not current product offerings.Hyper AI 专注于提供标准化的 AI 可穿戴平台。定制企业应用、私有部署、混合私有架构以及定制私有数据导出工程，并非当前产品 offerings。

01 Market Context: AI Moves from Screens to Sound01 市场背景：AI 从屏幕走向声音

Why audio wearables are becoming a strategic interface for real-world AI为什么音频可穿戴设备正成为真实世界 AI 的战略交互界面

For two decades, the smartphone concentrated digital interaction around the screen. Search, messaging, collaboration, commerce, and entertainment became app-based and visually driven. That model remains powerful, but it is poorly matched to many high-value situations in which the user is moving, listening, presenting, negotiating, studying, driving, inspecting, or working with both hands occupied.二十年来，智能手机将数字交互集中在屏幕周围。搜索、消息、协作、商务与娱乐都变成基于应用、由视觉驱动。这一模式依然强大，却与许多高价值场景格格不入：用户在移动、聆听、演讲、谈判、学习、驾驶、巡检或双手忙碌时，难以持续使用屏幕。

Audio wearables already occupy the right physical position for continuous assistance. Earbuds and glasses are worn close to the user, have access to microphones and speakers, and are accepted in communication, travel, exercise, work, and learning. Their historical limitation is not access to sound; it is the lack of a software layer that understands what the sound means and what should happen next.音频可穿戴设备已占据持续辅助所需的理想物理位置。耳机与眼镜贴近用户佩戴，拥有麦克风与扬声器访问权限，并被沟通、出行、运动、工作与学习场景所接受。它们长期以来的限制并非获取声音，而是缺少一个理解声音含义并决定下一步行动的软件层。

1.1 The value boundary of traditional audio devices1.1 传统音频设备的价值边界

1.2 The opportunity for AI wearables1.2 AI 可穿戴设备的机遇

The opportunity is not to attach a generic large-language-model shortcut to a piece of hardware. The opportunity is to give the device persistent scene awareness and an outcome-oriented workflow. A valuable AI wearable should know what session is taking place, which sources belong to that session, which language or task is active, what information matters, and what deliverable the user expects.机遇不在于给硬件挂一个通用大语言模型快捷方式，而在于赋予设备持续的场景感知与面向成果的工作流。一款有价值的 AI 可穿戴设备应该知道当前是什么会话、哪些来源属于该会话、哪种语言或任务正在活跃、哪些信息重要，以及用户期望得到什么交付物。

A meeting becomes minutes, decisions, risks, owners, and a follow-up email.一场会议转化为纪要、决策、风险、负责人与跟进邮件。

A lecture becomes a time-coded transcript, illustrated study notes, a quiz, and a review plan.一节课转化为带时间码的转录、图文学习笔记、测验与复习计划。

A customer visit becomes requirements, objections, opportunities, and a structured account report.一次客户拜访转化为需求、异议、机会与结构化的客户报告。

A cross-language conversation becomes a bilingual timeline, summary, and agreed actions.一场跨语言对话转化为双语时间线、摘要与已确认行动。

A stream of notifications becomes a prioritized daily brief and a set of reply drafts.一连串通知转化为优先级化的每日简报与一组回复草稿。

1.3 Why the Agent model matters1.3 为什么 Agent 模型至关重要

A conventional app exposes functions. An Agent OS understands a goal and coordinates multiple functions to complete it. For example, the instruction "prepare a customer follow-up" may require recording retrieval, transcript search, translation context, decision extraction, message history, document generation, and user confirmation. Treating each capability as an isolated button forces the user to assemble the workflow manually. Treating them as coordinated agents allows the system to deliver a result.传统应用暴露功能，Agent OS 理解目标并协调多个功能来完成目标。例如，"准备客户跟进"这一指令可能需要调取录音、搜索转写、提取翻译上下文、抽取决策、回溯消息历史、生成文档并获得用户确认。把每项能力当作孤立按钮，会迫使用户手动拼装工作流；把它们当作协同 Agent，则能让系统直接交付结果。

This distinction is especially important for wearables because the device interface must remain low-friction. Users cannot be expected to navigate a complex screen hierarchy while walking through an exhibition hall, participating in a meeting, or listening to a lecture. The intelligence must move into orchestration, defaults, context, and voice-driven continuation.这一区别对可穿戴设备尤为重要，因为设备交互必须保持低摩擦。不能指望用户在逛展厅、参加会议或听课时，还要操作复杂的屏幕层级。智能必须转向编排、默认行为、上下文与语音驱动的延续。

02 Product Definition and Strategic Positioning02 产品定义与战略定位

What Hyper AI Agent OS is, what it is not, and where it creates valueHyper AI Agent OS 是什么、不是什么，以及它在何处创造价值

Hyper AI Agent OS is a multi-device, multi-model, and multi-scenario operating layer for AI-enabled audio experiences. It covers device connectivity, session control, real-time translation, audio capture, synchronization, transcription, multimedia organization, knowledge retrieval, message intelligence, and result generation.Hyper AI Agent OS 是面向 AI 音频体验的多设备、多模型、多场景操作层，涵盖设备连接、会话控制、实时翻译、音频采集、同步、转写、多媒体组织、知识检索、消息智能与结果生成。

The word "OS" is used to describe a coordinated operating layer across hardware, applications, agents, models, data, and workflows. It does not mean that Hyper AI replaces iOS, Android, or device firmware. Instead, it operates above and alongside those platforms to provide a consistent AI experience across supported devices and partner configurations."OS" 一词用于描述跨硬件、应用、Agent、模型、数据与工作流的协同操作层。它并不意味着 Hyper AI 取代 iOS、Android 或设备固件，而是运行在这些平台之上或 alongside，以在受支持的设备与合作伙伴配置间提供一致的 AI 体验。

2.1 Hyper AI Agent OS, Hyper AI App, and supported partner configuration2.1 Hyper AI Agent OS、Hyper AI App 与受支持的合作伙伴配置

2.2 Product boundary: "not this, but this" statements2.2 产品边界："不是这个，而是这个"

2.3 Value proposition by stakeholder2.3 按利益相关方划分的价值主张

2.4 The central product promise2.4 核心产品承诺

03 Device Coverage and Integration Depth03 设备覆盖范围与集成深度

A device-agnostic platform with capability that scales with hardware depth能力与硬件深度成正比扩展的设备无关平台

Hyper AI Agent OS can operate across a broad range of audio and wearable devices. The system is intentionally device-agnostic: a standard Bluetooth product can access meaningful AI functions immediately, while hardware with local storage, cameras, dedicated controls, and richer connectivity can support more resilient and complete workflows.Hyper AI Agent OS 可运行于广泛的音频与可穿戴设备。该系统有意保持设备无关：标准蓝牙产品可立即使用有意义的 AI 功能，而具备本地存储、摄像头、专用控制键与更丰富连接的硬件则可支撑更稳定、更完整的工作流。

3.1 Supported device categories3.1 支持的设备类别

3.2 Standard Bluetooth mode3.2 标准蓝牙模式

Ordinary Bluetooth earbuds and glasses do not need a dedicated AI chip to benefit from Hyper AI. In the standard mode, the mobile application provides the intelligence and cloud connection while the wearable acts as the user interface for listening, speaking, status feedback, and selected controls.普通蓝牙耳机与眼镜无需专用 AI 芯片即可享受 Hyper AI。在标准模式下，移动应用提供智能与云端连接，可穿戴设备则作为听、说、状态反馈与部分控制的交互界面。

• Two-way face-to-face translation and one-way simultaneous interpretation.双向面对面翻译与单向同声传译。
• Phone-side live recording, transcription, AI summaries, and note generation.手机端实时录音、转写、AI 总结与笔记生成。
• Ask AI access to translated, recorded, and previously saved content.对翻译、录音与已保存内容发起 Ask AI 问答。
• Message and schedule playback where supported by platform permissions and the active product version.在平台权限与当前产品版本支持时播放消息与日程。
• Fast pilot deployment without requiring a new hardware design cycle.无需新的硬件设计周期即可快速试点部署。

The main limitation is that the mobile operating system controls microphone access, background behavior, screen-off execution, call audio routing, power management, and third-party application access. Standard Bluetooth mode is therefore ideal for rapid deployment, but it cannot provide the same independence and resilience as a device with local recording and storage.主要限制在于移动操作系统掌控着麦克风访问、后台行为、熄屏执行、通话音频路由、电源管理与第三方应用访问。因此，标准蓝牙模式适合快速部署，但无法像具备本地录音与存储的设备那样提供同等的独立性与稳定性。

3.3 Independent recording devices3.3 独立录音设备

A recording-capable earbud or glasses product can store audio locally and synchronize it after or during a session. This reduces dependence on whether the phone is unlocked, whether the Hyper AI App remains in the foreground, whether another application takes the microphone, or whether the mobile operating system suspends a background process.具备录音能力的耳机或眼镜产品可在本地存储音频，并在会话结束后或进行中同步。这降低了对手机是否解锁、Hyper AI App 是否在前台、其他应用是否占用麦克风，或移动操作系统是否挂起后台进程的依赖。

• Device-side start and stop control.设备端开始与停止控制。
• Audible or visual state feedback.声音或视觉状态反馈。
• Local file preservation before synchronization.同步前本地文件保全。
• Low-battery, storage-capacity, interruption, and abnormal-shutdown protection subject to hardware design.低电量、存储容量、中断与异常关机保护，具体取决于硬件设计。
• More reliable capture for long meetings, lectures, interviews, and customer visits.对长时间会议、讲座、访谈与客户拜访提供更可靠的记录。

3.4 Capture-enabled glasses3.4 具备拍摄能力的眼镜

When the device can capture photographs or video during a recording, Hyper AI can associate each media item with the session timeline. A whiteboard photograph, slide, product demonstration, business card, or field condition can be inserted at the corresponding point in the transcript. This creates a much richer record than a folder containing unrelated audio and images.当设备可在录音过程中拍摄照片或视频时，Hyper AI 能将每个媒体项与会话时间线关联。白板照片、幻灯片、产品演示、名片或现场状况都可插入到转录文本的对应位置。这比一个包含互不相关音频与图片的文件夹要丰富得多。

3.5 Integration depth3.5 集成深度

04 System Architecture: From Device to Knowledge Delivery04 系统架构：从设备到知识交付

A session-first architecture that preserves context across devices, agents, models, and outputs以会话为先的架构，跨设备、Agent、模型与输出保留上下文

The architectural center of Hyper AI Agent OS is the Session. A session represents a real-world unit of work: a meeting, lecture, translation conversation, customer visit, field inspection, interview, or daily message brief. Instead of treating every audio file, image, transcript, and AI output as a separate object, the system associates them with the same session context.Hyper AI Agent OS 的架构中心是会话。会话代表真实世界中的工作单元：一场会议、一节课、一次翻译对话、一次客户拜访、一次现场巡检、一次访谈或每日消息简报。系统不再把每个音频文件、图像、转写或 AI 输出当作独立对象，而是将它们关联到同一个会话上下文。

This session-first design allows the user to move naturally from capture to translation, from translation to notes, from notes to Ask AI, and from Ask AI to a report or message. It also enables historical retrieval: a future question can reference the decisions, images, and messages that belong to an earlier session.这种以会话为先的设计让用户自然地从采集走向翻译、从翻译走向笔记、从笔记走向 Ask AI、再从 Ask AI 走向报告或消息。它还支持历史回溯：未来的问题可以引用早期会话中的决策、图像与消息。

Figure 2. Hyper AI Agent OS reference architecture.图 2. Hyper AI Agent OS 参考架构。

4.1 Layered architecture4.1 分层架构

4.2 Design principles4.2 设计原则

4.3 Model routing and service abstraction4.3 模型路由与服务抽象

Hyper AI can route tasks to different speech, translation, vision, and language models according to the product configuration. The architecture may incorporate providers such as OpenAI, Claude, Gemini, DeepSeek, Qwen models, subject to availability, licensing, regional rules, performance requirements, and the selected deployment model.Hyper AI 可根据产品配置将任务路由到不同的语音、翻译、视觉与语言模型。架构可能接入 OpenAI、Claude、Gemini、DeepSeek、Qwen 等模型提供商，具体取决于可用性、授权、地区规则、性能要求与所选部署模式。

Model flexibility is not presented as a promise that every provider is available in every release or region. It is an architectural capability used within approved Hyper AI product and partner configurations to balance quality, latency, cost, privacy, and continuity. The applicable package or agreement defines the available provider set, fallback logic, data handling, and billing method.模型灵活性并不意味着每个提供商在每个版本或地区都可用。它是一种架构能力，在获批的 Hyper AI 产品与合作伙伴配置内用于平衡质量、延迟、成本、隐私与连续性。适用的套餐或协议定义可用提供商集合、回退逻辑、数据处理与计费方式。

4.4 The session lifecycle4.4 会话生命周期

• Create: establish the session type, device, language, participants, and permissions.创建：确立会话类型、设备、语言、参与者与权限。
• Capture: collect audio, media, messages, and relevant metadata.采集：收集音频、媒体、消息与相关元数据。
• Synchronize: align device files, timestamps, and application context.同步：对齐设备文件、时间戳与应用上下文。
• Understand: run speech recognition, translation, OCR, classification, and contextual analysis.理解：运行语音识别、翻译、OCR、分类与上下文分析。
• Organize: create transcripts, timelines, notes, topics, decisions, risks, and action items.整理：生成转写、时间线、笔记、主题、决策、风险与行动项。
• Continue: allow Ask AI to answer questions and carry out follow-on tasks within the same context.延续：允许 Ask AI 在同一上下文中回答问题并执行后续任务。
• Deliver: produce minutes, reports, email drafts, briefs, tasks, and knowledge entries.交付：生成纪要、报告、邮件草稿、简报、任务与知识条目。
• Retain or delete: apply the retention and deletion settings available for the user account, product release, and service package.保留或删除：应用用户账户、产品版本与服务套餐所支持的保留与删除设置。

05 The Five Core Agents05 五大核心 Agent

A coordinated operating model for communication, capture, knowledge, information flow, and task delivery面向沟通、采集、知识、信息流与任务交付的协同运行模型

The five core agents are not independent product tabs. They share session context, time references, user permissions, device state, and knowledge. This allows one agent to create material that another agent can understand and continue. A translation session can become an AI note; a note can be queried by Ask AI; a message brief can be combined with an earlier customer meeting; and the final result can be generated as a report or reply draft.五大核心 Agent 不是彼此独立的产品标签。它们共享会话上下文、时间引用、用户权限、设备状态与知识。这让一个 Agent 生成的内容可以被另一个 Agent 理解并延续。一次翻译会话可以变成 AI 笔记；一条笔记可以被 Ask AI 查询；一条消息简报可以与早前的客户会议合并；最终结果可以生成报告或回复草稿。

Figure 3. Five agents coordinated around a shared session core.图 3. 围绕共享会话核心协同的五大 Agent。

5.1 Translation Agent: real-time language understanding and translation5.1翻译代理：实时语言理解和翻译

Enabling cross-language communication to be understood in real time and transformed into reusable knowledge使跨语言沟通能够实时理解并转化为可重复使用的知识

Translation Agent is one of the five core intelligent agents within Hyper AI Agent OS. It is responsible for real-time language understanding, speech translation, translation recording, and cross-language knowledge preservation.Translation Agent是Hyper AI Agent OS中的五个核心智能代理之一。它负责实时语言理解、语音翻译、翻译记录和跨语言知识保存。

Unlike traditional translation tools that only convert a sentence from one language to another, Hyper AI transforms the entire cross-language communication process into:与仅将句子从一种语言转换为另一种语言的传统翻译工具不同， Hyper AI将整个跨语言沟通过程转换为：

• A real-time understandable communication experience实时、易于理解的沟通体验
• A preservable bilingual conversation record可保存的双语对话记录
• A searchable knowledge asset可搜索的知识资产
• A continuous AI context for follow-up questions后续问题的连续人工智能背景
• Directly deliverable business, learning, and meeting outcomes可直接交付的业务、学习和实现成果

Translation Agent combines:翻译代理结合：

• ASR (Automatic Speech Recognition)自动语音识别服务 （ASR）
• Translation intelligence翻译智能
• TTS (Text-to-Speech)TTS （文本转语音）
• Session timeline management会话时间表管理
• Ask AI contextual reasoning询问AI上下文推理

to upgrade translation from a temporary utility into a complete AI communication workflow:将翻译从临时实用程序升级为完整的人工智能通信工作流程：

Real-Time Translation → Conversation Recording → AI Understanding → Knowledge Extraction → Result Delivery实时翻译→对话记录→AI理解→知识提取→结果交付

5.1.1 Two-Way Real-Time Conversation Translation & Recording5.1.1双向实时对话翻译和录音

Two-way real-time conversation translation and recording is designed for real-world multilingual communication scenarios, including:双向实时对话翻译和录音专为真实世界的多语言沟通场景而设计，包括：

• International business negotiations国际商务谈判
• Overseas customer visits海外客户拜访
• Trade shows and exhibitions商品交易会和展会广告费
• Cross-language meetings跨语言会议
• Travel communication旅行通讯
• Face-to-face conversations面对面交谈

Users do not need to change their normal communication behavior.用户无需改变其正常的沟通行为。

Both participants can speak naturally while Hyper AI automatically performs:两位参与者都可以自然说话，而Hyper AI会自动执行：

• Language detection语言检测
• Speech understanding言语理解
• Real-time translation实时翻译
• Voice output语音输出
• Session recording课次录制

Translation results can be delivered through:翻译结果可以通过以下方式提供：

• Bluetooth earbuds蓝牙耳机
• Audio glasses音响眼镜
• AI recording glasses人工智能录音眼镜
• Mobile application移动应用

The system can preserve, depending on product version, device capability, and user authorization:根据产品版本、设备功能和用户授权，系统可以保留：

• Original audio原始音频
• Recognition transcript表彰成绩单
• Translation transcriptTranslation transcript
• Timestamps时间戳
• Session context会话上下文
• Conversation records对话记录

creating a complete bilingual Session.创建完整的双语会话。

Core Capabilities核心能力：

1. Real-Time Two-Way Speech Translation1. Real-Time Two-Way Speech Translation

Hyper AI supports natural conversations between participants speaking different languages.Hyper AI支持说不同语言的参与者之间的自然对话。

Example:示例：

• User:“We hope to start cooperation next month.”用户： “我们希望下个月开始合作。”
• Hyper AI:“我 们 希望下个月开始合作。”Hyper AI ： “我 们 希望下个月开始合作。”

Participants do not need to:参与者无需：

• Manually switch languages手动切换语言
• Type messages键入消息
• Pause conversations while waiting for translation等待翻译时暂停对话

2. Translation Recording2. Translation Recording

Traditional translation products usually provide only an instant translation result.传统翻译产品通常只提供即时翻译结果。

Hyper AI preserves the complete translation process, allowing users to:Hyper AI保留了完整的翻译过程，允许用户：

• Replay the original conversation重播原始对话
• Review full transcripts查看完整成绩单
• Compare original and translated content比较原始内容和翻译内容
• Locate important moments through timestamps通过时间戳找到重要时刻
• Continue AI p u lse after the conversation对话后继续AI p u lse

3. Translation Notes3. Translation Notes

After a business conversation, Hyper AI can generate:在业务对话之后， Hyper AI可以生成：

• Bilingual meeting summaries双语会议摘要
• Customer requirements顾客要求
• Key discussion points讨论问题
• Business opportunities商机
• Risk items风险项目
• Follow-up action lists后续行动列表

Examples:例如：

• “Summarize the customer’s key concerns.”“总结客户的主要顾虑。”
• “Extract the confirmed next steps.”“提取已确认的后续步骤。”
• “Generate an English follow-up email.”“生成英文后续电子邮件。”

5.1.2 One-Way Real-Time Simultaneous Interpretation & Recording5.1.2单向实时同声传译与录音

One-way real-time simultaneous interpretation is designed for continuous information consumption scenarios, including:单向实时同声传译专为持续信息消费场景而设计，包括：

• International conferences参加国际会议
• Classroom learning课堂学习
• Corporate training企业培训
• Product launches产品发布
• Public speeches公开演讲
• Language courses语言课程
• Online courses在线课程

In this mode, Hyper AI continuously listens to the speaker and provides real-time translation output to the user.在这种模式下， Hyper AI不断聆听说话者，并向用户提供实时翻译输出。

Users can focus on understanding the content without simultaneously:用户可以专注于理解内容，而无需同时：

• Taking manual notes做手工笔记
• Searching for translations搜索翻译
• Organizing key points整理要点

Core Capabilities核心能力：

1. Real-Time Simultaneous Interpretation1. Real-Time Simultaneous Interpretation

• The system continuously receives speech content.系统持续接收语音内容。
• Input:English presentation输入：英文演示文稿
• Output:Chinese voice translation / subtitles输出：中文语音翻译/字幕

Suitable for:适合：

• International training国际培训
• Academic conferences学术会议
• Business presentations商务演示文稿
• Foreign language courses外语课程

2. Interpretation Recording2. Interpretation Recording

The system can preserve:系统可以保留：

• Original speech audio原创语音音频
• Recognition transcript表彰成绩单
• Translation transcriptTranslation transcript
• Timeline information时间轴信息
• Users can review the entire session after completion.完成后，用户可以查看整个会话。

3. AI Learning & Training Notes3. AI Learning & Training Notes

After interpretation, Hyper AI can automatically generate:经过解释， Hyper AI可以自动生成：

• Course notes课程笔记。
• Training summaries培训摘要
• Knowledge structures知识结构
• Key learning points学习重点
• Practice questions练习题
• Study plans研究计划
• Examples:“Summarize the five key points from today’s training.”例如： “总结今天培训的五个要点。”

5.1.3 Translation Agent Capability Matrix5.1.3翻译代理能力矩阵

5.1.4 Multi-Layer Language System5.1.4多层语言系统

Hyper AI’s language capability consists of three independent technical layers:Hyper AI的语言能力由三个独立的技术层组成：

1. ASR Input Recognition Layer1. ASR Input Recognition Layer

Responsible for understanding spoken languages.负责理解口语。

Capability:业务能力

Up to approximately 150+ standard languages and language variants for speech recognition用于语音识别的多达150多种标准语言和语言变体

Including major language families such as:包括主要语言家族，例如：

• English中文
• ChineseChinese
• Spanish西班牙
• French嘿，法国人！
• Arabic阿拉伯语
• Portuguese葡萄牙语
• German德国
• Japanese日语
• Korean朝鲜语

and many additional international languages.以及许多其他的国际语言。

2. Text Translation Layer2. Text Translation Layer

Responsible for semantic conversion between languages.负责语言之间的语义转换。

Capability depends on:能力取决于：

• Model version型号版本
• Region区域
• Product configuration产品配置
• Commercial package商业套餐

Different language combinations may be supported according to deployment requirements.根据部署要求，可以支持不同的语言组合。

3. TTS Output Layer3. TTS Output Layer

Responsible for converting translated content into natural speech.负责将翻译内容转换为自然语音。

Supports:支持：

Approximately 60 official standard output languages约 60 种官方标准输出语言

4. Language Capability Explanation4. Language Capability Explanation

It is important to distinguish between:重要的是要区分：

Language recognition capability and complete real-time speech-to-speech translation capability语言识别能力和完整的实时语音到语音翻译能力

Recognizing a language does not automatically mean the system can provide:识别语言并不意味着系统可以提供：

• The same accuracy level相同的准确度级别
• The same latency相同的延迟
• The same voice quality相同的语音质量
• Full bidirectional real-time conversation experience全双向实时对话体验

Therefore, customer specifications should separately describe:因此，客户规格应单独说明：

Hyper AI’s key external positioning:Hyper AI的关键外部定位：

150+ standard language recognition capability150多种标准语言识别能力

Approximately 60 official output languages约60种官方输出语言

Real-time voice interaction designed for earbuds, glasses, and audio wearable devices专为耳机、眼镜和音频可穿戴设备设计的实时语音交互

5.1.5 The Strategic Value of Translation Agent5.1.5 The Strategic Value of Translation Agent

From Translation Output to Cross-Language Knowledge从翻译输出到跨语言知识

Traditional translation:传统翻译

Understand one sentence.理解一句话。

Traditional translation tools are designed to solve an immediate communication barrier. They help users understand a word, sentence, or conversation fragment, but the value often ends when the translation is delivered.传统的翻译工具旨在解决直接的沟通障碍。它们可以帮助用户理解单词、句子或对话片段，但价值通常在翻译交付时终止。

Hyper AI Translation Agent:超级人工智能翻译代理：

Understand an entire conversation and transform it into a searchable, reusable, and actionable knowledge asset.了解整个对话，并将其转化为可搜索、可重用和可操作的知识资产。

Hyper AI does not treat translation as an isolated output. It preserves the complete communication context, including:Hyper AI不会将翻译视为孤立的输出。它保留了完整的沟通环境，包括：

• Original audio原始音频
• Recognition transcript表彰成绩单
• Translation transcriptTranslation transcript
• Bilingual timeline双语时间表
• Session context会话上下文
• AI-generated summaries and actions人工智能生成的摘要和行动

This allows a cross-language conversation to continue creating value after the conversation ends.这允许跨语言对话在对话结束后继续创造价值。

The Complete Translation Workflow完整翻译工作流

Real-Time Translation↓Translation Recording↓Bilingual Timeline↓AI Notes↓Ask AI↓Result Delivery实时翻↓译翻译记录↓双语时间轴↓AI备注↓询问AI↓结果交付

A translated conversation can become:翻译后的对话可以变成：

• Meeting summaries会议摘要
• Customer requirements顾客要求
• Follow-up actions跟进行动
• Reports报告
• Email drafts电子邮件草稿
• Knowledge assets知识资产

This is the fundamental difference between Hyper AI and traditional translation apps, translation earbuds, and general voice assistants: translation becomes the beginning of an AI workflow, not the end of a conversation.这是Hyper AI与传统翻译应用程序、翻译耳塞和一般语音助手之间的根本区别：翻译成为AI工作流程的开始，而不是对话的结束。

5.2 AI Recording Agent: independent recording and reliable field capture5.2 AI记录代理：独立记录和可靠的现场捕获

AI Recording Agent is the capture foundation for meetings, lectures, training, customer visits, interviews, fieldwork, and personal ideas. Its value is not simply that it can create an audio file. It manages the relationship between the wearable, phone, session, file, synchronization state, and subsequent AI processing.AI Recording Agent是会议、讲座、培训、客户拜访、访谈、实地考察和个人想法的捕获基础。它的价值不仅仅在于它可以创建音频文件。它管理可穿戴设备、手机、会话、文件、同步状态和后续AI处理之间的关系。

This is the fundamental difference between Hyper AI Recording Agent and traditional recording tools: recording becomes the beginning of an AI knowledge workflow, not the end of an audio file.这是Hyper AI录制代理与传统录制工具之间的根本区别：录制成为AI知识工作流程的开始，而不是音频文件的结束。

Phone-side recording mode电话端录音模式

Works with ordinary Bluetooth earbuds and glasses.适用于普通蓝牙耳机和眼镜。

Uses the mobile device as the recording and processing host.使用移动设备作为录制和处理主机。

Can feed audio into live transcription, summary, and notes.可以将音频输入到实时转录、摘要和笔记中。

Requires platform permissions and is affected by background execution, calls, microphone conflicts, and power-management policies.需要平台权限，并受后台执行、呼叫、麦克风冲突和电源管理策略的影响。

Device-side independent recording mode设备端独立录制模式

Uses local device storage to preserve audio independently of the phone foreground state.使用本地设备存储来保持音频独立于手机前台状态。

Supports device-side controls and status feedback subject to hardware capability.支持设备端控制和状态反馈，具体取决于硬件功能。

Can synchronize the file to Hyper AI after the session or during the session where supported.可以在会话后或支持的会话期间将文件同步到Hyper AI。

Is better suited to long, interruption-sensitive, or phone-independent capture scenarios.更适合长时间、对中断敏感或与手机无关的捕获场景。

Recording management capabilities录制管理功能

Original audio preservation and indexed playback.原始音频保存和索引播放。

Session metadata, language, device, and time management.会话元数据、语言、设备和时间管理。

Synchronization progress and failure recovery.同步进度和故障恢复。

Optional speaker cues, keywords, and time-coded transcript navigation depending on configuration.可选的演讲者提示、关键词和时间编码成绩单导航，具体取决于配置。

Automatic handoff to transcription, notes, and Ask AI after completion.完成后，自动切换到转录、笔记和Ask AI。

5.3 Multimedia Notes Agent: from a recording to knowledge5.3多媒体笔记代理：从录音到知识

Multimedia Notes Agent is the clearest distinction between Hyper AI and a basic recorder or transcription tool. A recorder saves sound. A transcription tool produces text. Multimedia Notes Agent aligns audio, images, video, recognized speech, translation, AI analysis, and key moments on a common timeline, then transforms that material into structured knowledge.Multimedia Notes Agent是Hyper AI和基本记录器或转录工具之间最明显的区别。录音机保存声音。转录工具生成文本。Multimedia Notes Agent将音频、图像、视频、识别语音、翻译、人工智能分析和关键时刻对齐在一个共同的时间表上，然后将该材料转换为结构化知识。

Figure 4. A multimedia timeline preserves the relationship between speech, media, notes, and action items.图4.多媒体时间线保留了语音、媒体、笔记和行动项目之间的关系。

Core functions核心职能

Generate scene-specific notes such as meeting minutes, class notes, training notes, interview notes, customer-visit reports, exhibition records, and project retrospectives.生成特定场景的笔记，如会议记录、课堂笔记、培训笔记、访谈笔记、客户访问报告、展览记录和项目回顾。

Extract key points, decisions, questions, risks, owners, dates, and next actions.提取关键点、决策、问题、风险、所有者、日期和后续行动。

Index audio, transcript, translation, images, video, topics, and AI output by time and session.按时间和会话索引音频、成绩单、翻译、图像、视频、主题和人工智能输出。

Insert photos or videos at the corresponding transcript point on supported capture devices.在支持的捕获设备上的相应转录点插入照片或视频。

Deposit completed notes into personal or supported shared knowledge spaces according to the active product version, package, and permissions.根据有效的产品版本、包和权限，将完成的笔记存入个人或支持的共享知识空间。

Provide grounded context to Ask AI so that future answers can refer to the actual session and supporting media.为Ask AI提供基础背景，以便将来的答案可以参考实际会话和支持媒体。

From record to deliverable从记录到交付成果

The desired endpoint is not a prettier transcript. It is a usable outcome: meeting minutes, study notes, a training summary, a customer report, a project retrospective, a task list, an email draft, or a knowledge-base entry. Templates can be selected or configured by scenario so that the same source session produces a result that fits the user or organization.所需的端点不是更漂亮的成绩单。这是一个可用的结果：会议记录、研究笔记、培训摘要、客户报告、项目回顾、任务列表、电子邮件草稿或知识库条目。可以按场景选择或配置模板，以便相同的源会话产生适合用户或组织的结果。

5.4 Message Agent: an AI information layer across daily messages5.4消息代理：跨日常消息的AI信息层

Traditional messaging:传统消息：

Receive information.接收信息。

Hyper AI Message Agent:超级AI消息代理：

Understand information flow and transform it into prioritized, actionable intelligence.了解信息流，并将其转化为优先级可操作的情报。

Message Agent addresses the growing problem of information overload. It does not replace existing messaging, email, or calendar platforms. Instead, with user authorization and within platform rules, it acts as an AI information layer that organizes available information across daily communication channels.消息代理解决了日益严重的信息过载问题。它不会取代现有的消息、电子邮件或日历平台。相反，在用户授权和平台规则范围内，它充当人工智能信息层，通过日常沟通渠道组织可用信息。

Message Agent can:消息代理可以：

• Aggregate available notifications, messages, emails, calendar events, and reminders聚合可用的通知、消息、电子邮件、日历活动和提醒
• Classify information by context and importance按上下文和重要性对信息进行分类
• Identify priorities and items requiring attention确定优先事项和需要注意的事项
• Generate Today Brief and Daily Brief生成今日简报和每日简报
• Support reply preparation and follow-up actions支持回复准备和后续行动

The complete workflow:完整的工作流程：

Information Collection→ AI Classification→ Priority Understanding→ Today Brief / Daily Brief→ Reply Assistance→ Ask AI信息收集→AI分类→优先级理解→今天简要/每日简要→回复协助→询问AI

By connecting information sources with AI understanding, Message Agent transforms fragmented notifications into:通过将信息源与人工智能理解连接起来，消息代理将碎片化的通知转换为：

• Important updates重要更新
• Prioritized tasks优先任务
• Daily summaries每日摘要
• Response suggestions回复建议
• Actionable information可操作信息

This is the fundamental difference between Hyper AI Message Agent and traditional notification systems: information becomes organized intelligence, not just another stream of alerts.这是超级人工智能消息代理与传统通知系统之间的根本区别：信息成为有组织的智能，而不仅仅是另一个警报流。

Current product status当前产品状态

Capability scope能力范围

Aggregate authorized notifications, messages, email, calendar events, and task reminders where the platform and integration permit.在平台和集成允许的情况下，聚合授权通知、消息、电子邮件、日历事件和任务提醒。

Generate Today Brief and Daily Brief summaries of important information, pending actions, and upcoming events.生成重要信息、待定操作和即将发生的事件的今日简报和每日简报摘要。

Classify customer, work, financial, schedule, verification, system, and urgent content.对客户、工作、财务、日程安排、验证、系统和紧急内容进行分类。

Play important briefs and reminders through connected earbuds or glasses.通过连接的耳机或眼镜播放重要的内裤和提醒。

Generate reply suggestions or drafts; the user reviews and confirms before sending.生成回复建议或草稿；用户在发送前进行审核和确认。

Answer natural-language questions such as "What is important today?" or "Which customers contacted me?" through Ask AI.通过Ask AI回答自然语言问题，例如“今天重要的是什么？”或“哪些客户联系我？”。

Platform boundary平台边界

Android can generally support broader notification access and background processing when the user grants the required permissions, but behavior varies by device manufacturer and power-management policy. iOS applies tighter cross-application access controls. The iOS product is therefore being developed as a phased capability using the access paths that Apple permits, which may include notification mechanisms, email and calendar authorization, user-initiated sharing, in-app connections, and future native-assistant or shortcut integrations.当用户授予所需权限时， Android通常可以支持更广泛的通知访问和后台处理，但行为因设备制造商和电源管理策略而异。iOS应用更严格的跨应用程序访问控制。因此， iOS产品正在开发为使用Apple允许的访问路径的分阶段功能，其中可能包括通知机制、电子邮件和日历授权、用户启动的共享、应用内连接以及未来的本机助手或快捷方式集成。

5.5 Ask AI Agent: the unified AI entry point and task-delivery layer5.5 Ask AI Agent ：统一的AI入口点和任务交付层

Ask AI Agent is already available within the Hyper AI App. It serves as the unified intelligence layer connecting Translation Agent, AI Recording Agent, Multimedia Notes Agent, Message Agent, and stored knowledge.Ask AI Agent已在Hyper AI应用程序中可用。它充当连接翻译代理、人工智能记录代理、多媒体笔记代理、消息代理和存储知识的统一智能层。

Users do not need to remember where a file is stored, which feature created it, or which workflow contains the relevant information. They can simply ask a question or request an outcome. Ask AI retrieves the appropriate session context, identifies the relevant source material, continues the task, and generates a usable result.用户无需记住文件的存储位置、创建文件的功能或包含相关信息的工作流。他们只需提出问题或请求结果即可。Ask AI检索适当的会话上下文，识别相关的源材料，继续执行任务，并生成可用的结果。

Unlike a general-purpose chatbot, Ask AI works with actual Hyper AI content, including recordings, transcripts, translations, multimedia notes, messages, and historical sessions. This allows its answers and outputs to remain grounded in the user’s real-world context.与通用聊天机器人不同， Ask AI可以处理实际的Hyper AI内容，包括录音、成绩单、翻译、多媒体笔记、消息和历史会话。这允许其答案和输出在用户的真实世界环境中保持接地。

Available Functions可用功能

Recording questions: identify requirements, decisions, owners, risks, and unresolved issues from meetings, interviews, or customer visits.记录问题：识别会议、访谈或客户拜访中的要求、决策、所有者、风险和未解决的问题。

Note questions: summarize, reorganize, compare, extract, or convert multimedia notes into other deliverables.备注问题：总结、重组、比较、提取或将多媒体备注转换为其他可交付成果。

Message questions: review important messages, pending actions, and daily priorities where Message Agent data is available.消息问题：查看重要消息、待处理操作以及消息代理数据可用的日常优先级。

Knowledge questions: retrieve related cases, previous decisions, project history, and available contextual information.知识问题：检索相关案例、以前的决策、项目历史和可用的上下文信息。

Multi-turn continuation: refine a summary, extract risks, convert them into action items, and generate an email without resetting the context.多回合延续：优化摘要，提取风险，将其转换为行动项目，并在不重置上下文的情况下生成电子邮件。

Task delivery: create meeting minutes, customer and sales reports, project summaries, training materials, study notes, weekly reports, email drafts, and management summaries.任务交付：创建会议记录、客户和销售报告、项目摘要、培训材料、研究笔记、每周报告、电子邮件草稿和管理摘要。

The complete workflow is:完整的工作流程是：

Ask → Retrieve Context → Reason → Continue → Deliver询问→检索上下文→原因→继续→传送

Native Siri and Gemini Integration原生 Siri 与 Gemini 集成

Native Siri and Gemini integrations are under development. The intended design is complementary rather than substitutive:原生Siri和Gemini集成正在开发中。预期的设计是互补的，而不是替代性的：

Siri or Gemini provides the system-level voice entry point and invokes a Hyper AI action.Siri或Gemini提供系统级语音入口点并调用超级AI操作。

Hyper AI performs the specialized workflow, such as starting a recording, beginning a translation session, summarizing important messages, opening a customer session, or generating meeting minutes.Hyper AI执行专门的工作流程，例如开始录制、开始翻译会话、总结重要消息、打开客户会话或生成会议记录。

Ask AI is therefore more than a general chat interface. It is the task-delivery layer that connects real-world session context with practical outcomes.因此， Ask AI不仅仅是一个通用的聊天界面。它是任务交付层，将现实世界的会话环境与实际成果联系起来。

Why This Matters核心价值与意义

Ask AI is important because the value of an AI wearable does not come from collecting more recordings, notes, or messages; it comes from helping the user find meaning and complete the next task. Without a unified intelligence layer, information remains fragmented across files, features, and sessions, forcing the user to search, review, and reorganize everything manually.问AI很重要，因为AI可穿戴设备的价值并不来自于收集更多的录音、笔记或消息；它来自于帮助用户找到意义并完成下一个任务。如果没有统一的智能层，信息就会在文件、功能和会话之间保持碎片化，迫使用户手动搜索、查看和重新组织所有内容。

Ask AI removes that friction by preserving context across translation, recording, multimedia notes, messages, and knowledge. It allows users to move directly from a question to an outcome, whether that outcome is a decision summary, action list, customer report, study note, or follow-up email.Ask AI通过保留翻译、录制、多媒体笔记、消息和知识的语境来消除这种摩擦。它允许用户直接从问题转向结果，无论该结果是决策摘要、操作列表、客户报告、研究笔记还是跟进电子邮件。

For wearable devices, this is especially important because interaction must remain simple and low-friction. Users cannot be expected to navigate complex menus while attending a meeting, walking through an exhibition, or listening to a lecture. Ask AI makes the system goal-driven rather than feature-driven: the user states what they need, and Hyper AI coordinates the relevant information and capabilities to deliver it.对于可穿戴设备，这一点尤其重要，因为交互必须保持简单和低摩擦。不能期望用户在参加会议、参观展览或听讲座时浏览复杂的菜单。ASK AI使系统目标驱动而不是功能驱动：用户陈述他们的需求， Hyper AI协调相关信息和功能以交付它。

06 End-to-End Workflows06端到端工作流程

The system is evaluated by completed outcomes, not by the number of feature buttons系统根据已完成的结果进行评估，而不是根据功能按钮的数量进行评估

Figure 5. The end-to-end Agent workflow from real-world capture to an actionable deliverable.图5.端到端代理工作流程，从真实世界的捕获到可操作的可交付成果。

6.1 Meeting workflow6.1会议工作流程

The user can continue asking questions such as:用户可以继续提问，例如：

• What decisions were confirmed?哪些决定得到确认？
• Which issues remain unresolved?哪些问题仍未解决？
• Who owns each action item?谁负责每个行动项目？
• What should be included in the follow-up email?跟进电子邮件中应该包含哪些内容？

This allows the meeting to remain useful after the recording ends.这使会议在录制结束后仍然有用。

6.2 Cross-language communication workflow6.2跨语言沟通工作流程

In a customer negotiation, exhibition discussion, or international meeting, real-time translation is only the first layer of value. The session can preserve the original audio, recognized speech, translated text, and time sequence. After the conversation, Hyper AI can produce a bilingual summary, identify customer requirements and commitments, create a follow-up task list, and draft the next email.在客户谈判、展览讨论或国际会议上，实时翻译只是第一层价值。会话可以保留原始音频、识别的语音、翻译文本和时间序列。对话结束后， Hyper AI可以生成双语摘要，识别客户要求和承诺，创建后续任务列表，并起草下一封电子邮件。

6.3 Learning and training workflow6.3学习和培训工作流程

A lecture or training session contains multiple information channels: spoken explanation, slides, whiteboard content, demonstrations, and questions. Hyper AI can align these sources on the same timeline, generate structured notes, extract definitions and key points, create review questions, and allow the learner to ask follow-up questions grounded in the session.讲座或培训课程包含多个信息渠道：口头解释、幻灯片、白板内容、演示和问题。Hyper AI可以在同一时间线上调整这些来源，生成结构化笔记，提取定义和关键点，创建复习问题，并允许学员提出基于课程的后续问题。

6.4 Customer-visit and field workflow6.4客户拜访和现场工作流程

A salesperson, consultant, inspector, or field worker can record a visit and capture relevant photographs. Hyper AI extracts needs, objections, risks, evidence, and next actions, then produces a customer, sales, inspection, project, or knowledge report using the templates available in the standard product.销售人员、顾问、检查员或现场工作人员可以记录访问并拍摄相关照片。Hyper AI提取需求、异议、风险、证据和后续行动，然后使用标准产品中提供的模板生成客户、销售、检查、项目或知识报告。

6.5 Message-brief workflow6.5消息简报工作流程

Message Agent organizes available notifications, messages, email, calendar information, and task reminders into a prioritized information brief, subject to user authorization and platform rules.消息代理根据用户授权和平台规则，将可用的通知、消息、电子邮件、日历信息和任务提醒组织到优先级信息摘要中。

The system can:系统可以：

• Aggregate accessible information汇总可访问的信息
• Identify urgent or important items识别紧急或重要项目
• Highlight pending actions突出显示待处理操作
• Summarize upcoming events总结即将举行的活动
• Generate Today Brief or Daily Brief生成今日简报或每日简报
• Prepare reply suggestions or drafts准备回复建议或草稿

Users can review the brief in the Hyper AI App or listen through connected earbuds or glasses. They can then ask questions such as:用户可以在Hyper AI应用程序中查看简报，也可以通过连接的耳机或眼镜收听。然后，他们可以提出以下问题：

• What is most important today?今天最重要的是什么？
• Which customers contacted me?哪些顾客联系我？
• Which messages require a reply?哪些消息需要回复？
• What meetings are coming up?即将举行哪些会议？
• What actions remain unfinished?哪些行动尚未完成？

Sending a message or email remains under user control and requires user confirmation.发送消息或电子邮件仍由用户控制，需要用户确认。

Message Agent is currently available on Android. The iOS version is under development and will operate within Apple’s platform permissions and access rules.消息代理目前在Android上可用。iOS版本正在开发中，将在Apple的平台权限和访问规则范围内运行。

6.6 Why End-to-End Workflows Matter6.6为什么端到端工作流程很重要

Individual functions create outputs. End-to-end workflows create outcomes.单个函数创建输出。端到端工作流程创造成果。

A recorder may produce an audio file, a translation tool may produce translated text, and a transcription tool may produce a transcript. Hyper AI connects these outputs within the same Session so they can be organized, questioned, refined, and converted into something the user can immediately use.录音机可以生成音频文件，翻译工具可以生成翻译文本，转录工具可以生成成绩单。超级人工智能将这些输出连接到同一个会话中，以便它们可以被组织、质疑、改进和转换为用户可以立即使用的东西。

This is the operating principle of Hyper AI Agent OS:这是Hyper AI Agent OS的工作原理：

The system should reduce the distance between experiencing a real-world event and obtaining a practical result from it.系统应该缩短体验真实世界事件和从中获得实际结果之间的距离。

07 Representative Use Cases07代表性使用案例

7.1 Scenario-first positioning7.1场景优先定位

External marketing should avoid reducing the product to "AI recording" or "AI translation." Those labels describe inputs, not outcomes. The stronger proposition is a closed scenario: a meeting becomes minutes and actions; a class becomes study material; a customer visit becomes a report; an international conversation becomes a bilingual record and follow-up; a day of messages becomes a brief.外部营销应避免将产品简化为“AI录制”或“AI翻译”。“这些标签描述的是输入，而不是结果。更强的主张是一个封闭的场景：会议变成会议记录和行动；课堂变成学习材料；客户拜访变成报告；国际对话变成双语记录和跟进；一天的消息变成简短。

7.2 Consumer and professional use7.2消费者和专业使用

For consumers and individual professionals, the product should minimize setup and make the immediate value visible. A standard Bluetooth device can be connected quickly, and the user can experience translation, recording, notes, and Ask AI without purchasing a specialized terminal. This path is suitable for direct subscriptions, hardware bundles, trials, and channel activation.对于消费者和个人专业人员，产品应尽量减少设置，并使直接价值可见。标准蓝牙设备可以快速连接，用户无需购买专用终端即可体验翻译、录音、笔记和Ask AI。此路径适用于直接订阅、硬件捆绑、试用和频道激活。

7.3 Business and organizational use7.3业务和组织用途

Business and organizational users can apply the standard Hyper AI App and available templates to meetings, customer visits, training, and field activities. The current offering uses the standard Hyper AI cloud service, supported product packages, and available configuration options.业务和组织用户可以将标准的Hyper AI应用程序和可用模板应用于会议、客户访问、培训和现场活动。当前产品使用标准的超级AI云服务、支持的产品包和可用的配置选项。

08 Functional Advantage and Competitive Positioning08功能优势和竞争定位

Why the integrated workflow matters more than isolated feature parity为什么集成工作流程比孤立的功能奇偶校验更重要

Hyper AI is positioned against three broad categories: native mobile operating-system capabilities, general-purpose translation or recording applications, and translation-focused earbuds or glasses. Each category may provide strong individual functions, such as live translation, audio recording, transcription, or voice assistance, but these capabilities are often separated across different applications, files, and workflows.Hyper AI针对三大类别进行定位：原生移动操作系统功能、通用翻译或录音应用程序以及以翻译为重点的耳机或眼镜。每个类别都可以提供强大的个性化功能，例如实时翻译、录音、转录或语音辅助，但这些功能通常在不同的应用程序、文件和工作流中分开。

Hyper AI differentiates itself through a session-based, end-to-end workflow that connects:Hyper AI通过基于会话的端到端工作流程实现差异化，该工作流程连接：

Translation → Recording → Transcription → Multimedia Notes → Ask AI → Knowledge → Result Delivery翻译→记录→转录→多媒体笔记→询问AI→知识→结果交付

Audio, translated text, transcripts, photos, videos, notes, messages, and AI outputs can remain associated with the same real-world Session. This allows users to move from capturing an event to understanding it, asking follow-up questions, and generating practical deliverables without manually transferring information between tools.音频、翻译文本、成绩单、照片、视频、笔记、消息和人工智能输出可以与同一个真实世界的会话保持关联。这使用户可以从捕获事件转向理解事件、提出跟进问题以及生成实用可交付成果，而无需在工具之间手动传输信息。

The differentiation is therefore not based only on isolated feature parity. It is based on workflow continuity, preserved context, original-source traceability, and outcome generation. A meeting can become minutes and actions, a lecture can become study material, a customer visit can become a report, and a multilingual conversation can become a bilingual record and follow-up plan.因此，区分不仅仅基于孤立的特征奇偶校验。它基于工作流程的连续性、保留的上下文、原始源可追溯性和结果生成。会议可以成为会议记录和行动，讲座可以成为学习材料，客户访问可以成为报告，多语言对话可以成为双语记录和后续计划。

8.1 Category-level comparison8.1类别级别比较

* "Native experience" means the operating system without a dedicated Hyper AI workflow. Capabilities change by release, device, region, and installed application. The comparison is category-level positioning based on supplied product materials, not an independent benchmark of every product.* “本地体验”是指没有专用Hyper AI工作流程的操作系统。功能因发布、设备、区域和已安装的应用程序而异。比较是基于供应的产品材料的类别级定位，而不是每个产品的独立基准。

8.2 The principal differentiators8.2主要差异化因素

Hyper AI is differentiated not by a single isolated feature, but by the way multiple capabilities remain connected throughout the same real-world Session.超级人工智能的区别不在于单个孤立的功能，而在于多个功能在整个现实世界的会话中保持连接。

Session continuity: Translation, recording, transcripts, media, notes, messages, and Ask AI interactions can remain associated with the same context. Users can move from capture to analysis and follow-up without manually rebuilding the background.会话连续性：翻译、录音、成绩单、媒体、笔记、消息和Ask AI交互可以保持与同一上下文相关联。用户可以从捕获转移到分析和跟进，而无需手动重建背景。

Original-source preservation: Where supported, users can trace an AI-generated summary, conclusion, or action item back to the relevant audio, transcript, translation, photograph, video, or timeline position.原始来源保存：在支持的情况下，用户可以将人工智能生成的摘要、结论或行动项目追溯到相关的音频、成绩单、翻译、照片、视频或时间轴位置。

Outcome generation: Hyper AI goes beyond raw audio, translated text, or transcription. It can produce meeting minutes, reports, reply drafts, task lists, study materials, and reusable knowledge entries.结果生成：超级人工智能超越了原始音频、翻译文本或转录。它可以生成会议记录、报告、回复草稿、任务列表、学习材料和可重复使用的知识条目。

Hardware flexibility: Existing Bluetooth earbuds and glasses can access Hyper AI through the standard App, while devices with local storage, independent recording, cameras, and dedicated controls can provide greater continuity, resilience, and multimedia context.硬件灵活性：现有的蓝牙耳机和眼镜可以通过标准应用程序访问Hyper AI ，而具有本地存储、独立录制、摄像头和专用控件的设备可以提供更大的连续性、弹性和多媒体环境。

Partner readiness: Device profiles, activation rules, service packages, and supported partner configuration allow hardware brands and channels to differentiate products within the standard Hyper AI product framework.合作伙伴就绪：设备配置文件、激活规则、服务包和支持的合作伙伴配置允许硬件品牌和渠道在标准超级人工智能产品框架内区分产品。

Transparent platform boundaries: Limitations relating to iOS, Android, phone-call audio, online meetings, background operation, and cross-application message access are treated as explicit product-scope conditions rather than universal promises.透明的平台边界：与iOS、Android、电话音频、在线会议、后台操作和跨应用程序消息访问相关的限制被视为明确的产品范围条件，而不是通用承诺。

Together, these capabilities enable Hyper AI to connect real-world capture with context, knowledge, and practical delivery.这些功能使Hyper AI能够将真实世界的捕获与上下文、知识和实际交付联系起来。

8.3 Why "translation plus recording plus notes" is strategically stronger8.3为什么“翻译加录音加笔记”在战略上更强大

Translation is often temporary: the user understands the message, but the context may disappear. Recording is often passive: the audio is preserved, but still requires review and organization. Notes may be useful, but they are often separated from the original evidence.翻译通常是暂时的：用户理解消息，但上下文可能会消失。录音通常是被动的：音频被保留，但仍然需要审查和组织。注释可能有用，但它们通常与原始证据分开。

Hyper AI connects all three within the same Session:Hyper AI将同一会话中的所有三个连接起来：

Translation → Recording → Transcript and Timeline → AI Notes → Ask AI → Deliverable翻译→记录→成绩单和时间轴→AI备注→询问AI→交付件

As a result, users can understand communication in real time, preserve the original source, review the bilingual context, generate structured notes, and continue asking questions after the event.因此，用户可以实时理解沟通，保留原始来源，查看双语上下文，生成结构化笔记，并在活动结束后继续提问。

This combination transforms a translated or recorded interaction from a temporary output into a grounded, searchable, reusable, and actionable knowledge asset.这种组合将翻译或记录的交互从临时输出转换为接地、可搜索、可重用和可操作的知识资产。

09 Services, Languages, Usage, Cloud, Updates, and Support09服务、语言、使用、云、更新和支持

A clear service framework for brand, channel, business, and education due diligence明确的品牌、渠道、业务和教育尽职调查服务框架

Customers evaluating Hyper AI frequently ask not only which features exist, but also which services are included, how languages are counted, whether use is unlimited, how many users or devices are permitted, which cloud functions are part of the package, how updates are handled, and which premium capabilities cost extra. These questions must be answered by a combination of product specification and commercial terms.评估Hyper AI的客户不仅经常询问存在哪些功能，还询问包括哪些服务，如何计算语言，是否无限制使用，允许多少用户或设备，哪些云功能是包的一部分，如何处理更新，以及哪些高级功能需要额外付费。这些问题必须通过产品规格和商业条款的组合来回答。

9.1 Translation and speech-function scope9.1翻译和语音功能范围

9.2 Language support9.2语言支持

Language support should be specified as a matrix rather than as a single headline number. Hyper AI can support up to approximately 150 input languages and variants and approximately 60 standardized output languages, but the actual service depends on the model and product configuration.语言支持应指定为矩阵，而不是单个标题编号。Hyper AI最多可支持约150种输入语言和变体，以及约60种标准化输出语言，但实际服务取决于型号和产品配置。

9.3 Usage limits9.3使用限制

Hyper AI should not be presented as universally unlimited unless a specific package contractually provides that level of use. AI services create variable costs in speech processing, translation, language models, storage, and data transfer. A sustainable commercial package can use one or more of the following dimensions:超级人工智能不应被认为是普遍无限的，除非特定的包装合同规定了这种使用水平。人工智能服务在语音处理、翻译、语言模型、存储和数据传输方面创造了可变成本。可持续商业包装可以使用以下一个或多个维度：

Allowances may be provided through device activation, individual subscriptions, one-time add-on packages, or other supported service plans. The applicable package should clearly state:津贴可以通过设备激活、个人订阅、一次性附加套餐或其他受支持的服务计划提供。适用的包装应明确说明：

• Included monthly or one-time quota包括每月或一次性配额
• Maximum duration of each session每个会话的最长持续时间
• Restart or waiting-period rules重新启动或等待期规则
• Package validity and renewal套餐有效期和续订
• Storage and retention limits存储和保留限制
• Upgrade and add-on options升级和附加选项

Once an allowance is exhausted, the relevant service may become temporarily unavailable, prompt the user to upgrade or purchase an add-on, or incur additional usage charges where expressly provided by the applicable plan or agreement. Selecting an unlimited single-session duration does not necessarily mean unlimited total monthly usage.一旦津贴用尽，相关服务可能会暂时不可用，提示用户升级或购买附加组件，或者在适用计划或协议明确规定的情况下产生额外的使用费。选择无限的单次会话持续时间并不一定意味着每月总使用量无限。

9.4 Cloud services9.4云服务

9.5 Updates and maintenance9.5更新和维护

9.6 Technical support9.6技术支持

10 Privacy, Security, and Service Governance10隐私、安全和服务治理

Design requirements for audio, messages, knowledge, and AI model access音频、消息、知识和人工智能模型访问的设计要求

Audio recordings, translated conversations, photographs, messages, email, calendars, and saved knowledge can contain sensitive information. A credible Agent OS must make authorization, data control, user confirmation, retention, and deletion part of the standard product design. This section describes the control framework for the shared Hyper AI service and supported product configurations.录音、翻译的对话、照片、消息、电子邮件、日历和保存的知识可能包含敏感信息。可信的代理操作系统必须将授权、数据控制、用户确认、保留和删除作为标准产品设计的一部分。本节介绍共享Hyper AI服务和支持的产品配置的控制框架。

10.1 Privacy-by-control principles10.1隐私控制原则

10.2 Recording and legal responsibility10.2记录和法律责任

Recording and monitoring rules differ by jurisdiction, scenario, organization, and relationship between participants. Hyper AI should provide visible or audible state feedback and clear user controls, but the user or deploying organization is responsible for ensuring that recording, translation, and message processing are used lawfully and with the required notice or consent.记录和监控规则因司法管辖区、场景、组织和参与者之间的关系而异。超级人工智能应提供可见或可听的状态反馈和明确的用户控制，但用户或部署组织有责任确保录制、翻译和消息处理得到合法使用，并获得所需的通知或同意。

10.3 Service delivery model10.3服务交付模式

10.4 Knowledge and data governance10.4知识和数据治理

Saved knowledge requires clear ownership, access roles, content boundaries, source traceability, and retention settings. The current product may support personal and selected shared knowledge spaces according to the active package. Derived summaries and reports should remain traceable to their source session where the product supports that linkage.保存的知识需要明确的所有权、访问角色、内容边界、源可追溯性和保留设置。根据活动包，当前产品可能支持个人和选定的共享知识空间。派生的摘要和报告应该可追溯到产品支持该链接的源会话。

10.5 Message Agent governance10.5消息代理治理

Message Agent minimizes data access, follows platform permissions, and keeps assistance separate from sending. Reply suggestions remain drafts until the user approves them.消息代理最大限度地减少数据访问，遵循平台权限，并将协助与发送分开。在用户批准之前，回复建议仍为草稿。

11 Partner and Commercial Models11合作伙伴和商业模式

A Collaborative Ecosystem Model for Turning Conventional Hardware into AI-Enabled Products将传统硬件转化为支持人工智能的产品的协作生态系统模型

Hyper AI is designed to help hardware manufacturers rapidly transform existing earbuds, glasses, and audio wearable devices into AI-enabled products.Hyper AI旨在帮助硬件制造商迅速将现有的耳机、眼镜和音频可穿戴设备转变为支持AI的产品。

The partnership model is similar in principle to the way established software and technology platforms have worked with hardware manufacturers: the hardware company focuses on product design, engineering, manufacturing, supply chain, and sales, while Hyper AI provides the shared intelligence layer that makes the device more capable, differentiated, and valuable.合作伙伴关系模式原则上类似于已建立的软件和技术平台与硬件制造商合作的方式：硬件公司专注于产品设计、工程、制造、供应链和销售，而Hyper AI则提供共享智能层，使设备更具功能性、差异化和价值。

Hyper AI does not replace the hardware manufacturer or take ownership of the physical product. Instead, both parties contribute complementary capabilities:Hyper AI不会取代硬件制造商或取得物理产品的所有权。相反，双方都贡献了互补的能力：

The hardware manufacturer provides the device, manufacturing capability, product definition, channel relationships, and market access.硬件制造商提供设备、制造能力、产品定义、渠道关系和市场准入。

Hyper AI provides the standard App, AI Agent OS, cloud-based AI services, device profiles, activation, and supported AI workflows.Hyper AI提供标准应用程序、AI Agent OS、基于云的AI服务、设备配置文件、激活和支持的AI工作流程。

Together, the two parties convert conventional audio hardware into an AI-enabled terminal with practical translation, recording, note-taking, messaging, and Ask AI capabilities.双方共同将传统音频硬件转换为具有实用翻译、录音、笔记、消息传递和Ask AI功能的人工智能终端。

The core partnership principle is:合作伙伴关系的核心原则是：

Hardware manufacturers build the device. Hyper AI provides the intelligence layer. Together, they create an AI-enabled wearable product.硬件制造商制造设备。超级人工智能提供智能层。他们共同创造了一款支持人工智能的可穿戴产品。

11.1 Rapid AI Enablement Without Upfront Software R&D11.1无需前期软件研发即可快速实现人工智能

Many white-label, OEM, and ODM manufacturers are capable of producing reliable Bluetooth hardware but do not have the internal resources to build and maintain:许多白标、OEM和ODM制造商能够生产可靠的蓝牙硬件，但没有内部资源来构建和维护：

• A consumer mobile application消费者移动应用程序
• A real-time translation platform实时翻译平台
• Recording and transcription services录音和转录服务
• Multimedia AI note workflows多媒体AI备注工作流程
• Ask AI capabilities询问AI功能
• Cloud storage and synchronization云存储和同步
• Account, activation, and subscription systems帐户、激活和订阅系统
• Continuous AI-model integration and software updates持续的人工智能模型集成和软件更新

For supported products using the standard Hyper AI framework, the manufacturer does not need to make an upfront investment in developing these systems independently.对于使用标准超级人工智能框架的受支持产品，制造商无需在独立开发这些系统方面进行前期投资。

The standard enablement path is:标准启用路径为：

Existing Hardware→ Supported Device Profile→ Hyper AI App Connection→ Device Activation→ AI Functions and Service Package→ AI-Enabled Product Launch现有硬件→支持的设备配置文件→超级AI应用程序连接→设备激活→AI功能和服务包支持→AI的产品发布

This allows manufacturers to introduce AI capabilities quickly, reduce initial software-development risk, and shorten the time required to bring an AI-enabled product to market.这使制造商能够快速引入人工智能功能，降低初始软件开发风险，并缩短将人工智能产品推向市场所需的时间。

Deeper firmware or hardware integration may be considered later where it improves controls, recording continuity, file synchronization, device-state feedback, or other supported functions. However, a manufacturer can begin with a standard Bluetooth product without first rebuilding the hardware architecture.稍后可能会考虑更深入的固件或硬件集成，以改进控制、记录连续性、文件同步、设备状态反馈或其他支持的功能。但是，制造商可以从标准蓝牙产品开始，而无需首先重建硬件架构。

11.2 From Hardware Specifications to AI Scenario Value11.2从硬件规格到AI场景值

Traditional Bluetooth audio products often compete primarily on:传统蓝牙音频产品通常主要在以下方面竞争：

• Chipset芯片组
• Battery life电池续航
• Speaker performance演讲者表现
• Microphone configuration麦克风配置
• Industrial design工业设计
• Weight and comfort重量和舒适度
• Manufacturing cost生产成本

These specifications remain important, but they are increasingly difficult to use as lasting market differentiation.这些规格仍然很重要，但它们越来越难以用作持久的市场差异化。

Hyper AI enables manufacturers to add practical AI scenarios such as:超级人工智能使制造商能够添加实用的人工智能场景，例如：

• Two-way real-time conversation translation双向实时对话翻译
• One-way simultaneous interpretation单向同声传译
• AI recordingAI录制
• Speech-to-text transcription语音转文本转录
• Multimedia AI notes多媒体AI笔记
• Today Brief and message intelligence今日简报和消息情报
• Ask AI询问AI
• Meeting, learning, customer-visit, and field workflows会议、学习、客户访问和现场工作流程

This changes the product proposition from:这改变了产品主张：

A Bluetooth earbud or pair of audio glasses蓝牙耳机或一副音频眼镜

to:至：

An AI-enabled wearable device for communication, recording, knowledge, and productivity.一种支持人工智能的可穿戴设备，用于通信、录音、知识和生产力。

The result is greater perceived product value, stronger retail positioning, higher pricing potential, and improved competitiveness in customer proposals, distribution channels, and consumer markets.其结果是更高的产品价值、更强的零售定位、更高的定价潜力，以及在客户提案、分销渠道和消费者市场上的竞争力提高。

The manufacturer’s principal commercial return comes from stronger hardware sales and the ability to position the product at a higher value level.制造商的主要商业回报来自更强劲的硬件销售和将产品定位在更高价值水平的能力。

11.3 Particular Value for White-Label and OEM/ODM Manufacturers11.3白标和OEM/ODM制造商的特殊价值

Hyper AI is especially relevant to manufacturers that have strong hardware capabilities but limited software, AI, or cloud-service resources.超级人工智能尤其适用于具有强大硬件能力但软件、人工智能或云服务资源有限的制造商。

Through the standard Hyper AI platform, these manufacturers can present a more complete product to brands, distributors, retailers, and end users without independently building a full AI software ecosystem.通过标准的Hyper AI平台，这些制造商可以向品牌、分销商、零售商和最终用户展示更完整的产品，而无需独立构建完整的人工智能软件生态系统。

The main benefits include:可享福利包括：

• Faster AI-product launch更快的人工智能产品发布
• No need to establish a complete internal AI software team无需建立完整的内部AI软件团队
• Lower initial development cost and technical risk降低初始开发成本和技术风险
• Stronger differentiation from ordinary Bluetooth products与普通蓝牙产品的差异化程度更高
• Clearer product stories for sales and channel partners为销售和渠道合作伙伴提供更清晰的产品故事
• Higher perceived value and pricing flexibility更高的感知价值和定价灵活性
• Access to continuously maintained AI workflows through the standard Hyper AI platform通过标准超级人工智能平台访问持续维护的人工智能工作流程

This model is particularly attractive to white-label manufacturers because it allows them to add a credible AI proposition to existing product lines without changing their primary role as hardware designers and manufacturers.这种模式对白标制造商特别有吸引力，因为它允许他们在不改变其作为硬件设计者和制造商的主要角色的情况下，为现有产品线添加可靠的人工智能主张。

11.4 Standard Hyper AI App Model11.4标准超级人工智能应用程序模型

The fastest deployment model is to connect a supported Bluetooth earbud, audio-glasses product, or other wearable device to the standard Hyper AI App.最快的部署模式是将支持的蓝牙耳机、音频眼镜产品或其他可穿戴设备连接到标准的Hyper AI应用程序。

This model is suitable for:此型号适用于：

• Initial product validation初始产品验证
• Retail hardware bundles零售硬件捆绑包
• Channel pilots渠道试点
• Market-demand testing市场需求测试
• OEM/ODM customer demonstrationsOEM/ODM客户演示
• Commercial product launches商业产品发布

Through the standard App, supported devices may access available Hyper AI capabilities such as translation, recording, transcription, multimedia notes, Message Agent, and Ask AI.通过标准应用程序，支持的设备可以访问可用的超级AI功能，如翻译、录制、转录、多媒体笔记、消息代理和Ask AI。

The partner avoids the time and cost of creating and maintaining a separate application, while users receive access to an established AI product and service environment.合作伙伴避免了创建和维护单独应用程序的时间和成本，同时用户可以访问已建立的人工智能产品和服务环境。

11.5 Device Profile and Activation Model11.5设备配置文件和激活模型

A device profile allows Hyper AI to recognize a supported hardware model and apply the appropriate product configuration.设备配置文件允许Hyper AI识别受支持的硬件模型并应用适当的产品配置。

A supported device profile may define:受支持的设备配置文件可以定义：

• Product name and model名称/型号
• Device image and product information设备图片和产品信息
• Supported hardware capabilities支持的硬件功能
• Available Hyper AI functions可用的超级AI功能
• Connection and operating instructions连接和操作说明
• Device-specific controls and behavior设备特定的控制和行为
• Activation rules激活规则
• Included Device Plan or service entitlement包含的设备计划或服务权利
• Applicable usage allowances适用的使用限额

This allows multiple manufacturers and hardware models to operate within the same Hyper AI App while presenting the appropriate capabilities and user guidance for each product.这允许多个制造商和硬件模型在同一个超级人工智能应用程序中运行，同时为每个产品提供适当的功能和用户指南。

For example:例如：

A standard Bluetooth earbud or audio-glasses product may use phone-side recording and processing.标准蓝牙耳机或音频眼镜产品可能使用手机端录音和处理。

A recording-capable device may support independent local recording and file synchronization.支持录制的设备可以支持独立的本地录制和文件同步。

A capture-enabled device may support photos, video, and multimedia timeline generation.启用捕获的设备可能支持照片、视频和多媒体时间轴生成。

Eligible hardware products may activate a predefined Hyper AI Device Plan, allowing the user to begin using supported AI services after product activation.符合条件的硬件产品可以激活预定义的超级AI设备计划，允许用户在产品激活后开始使用受支持的AI服务。

11.6 Supported Partner Configuration11.6支持的合作伙伴配置

Supported partner configuration allows selected product, presentation, and commercial settings to be applied within the standard Hyper AI product framework.支持的合作伙伴配置允许在标准超级人工智能产品框架内应用选定的产品、演示文稿和商业设置。

Available configuration may include:可用的配置可能包括：

• Device naming设备命名
• Product images and descriptions产品图片和描述
• Connection and usage instructions连接和使用说明
• Activation codes and entitlement rules激活码和授权规则
• Service-package assignment服务包分配
• Regional language settings区域语言设置
• Feature availability特点可用性
• Approved product content已批准的产品内容
• Supported device behavior支持的设备行为
• Partner onboarding or support information合作车主入职或客服信息

These configurations remain part of the standard Hyper AI App, cloud-service architecture, account system, and release cycle.这些配置仍然是标准超级AI应用程序、云服务架构、帐户系统和发布周期的一部分。

Supported partner configuration should not be interpreted as a commitment to create a separate partner-owned application, a fully customized white-label platform, or an enterprise-specific software system.受支持的合作伙伴配置不应被解释为承诺创建单独的合作伙伴拥有的应用程序、完全定制的白标平台或特定于企业的软件系统。

11.7 Hyper AI as a Neutral Enablement Identity11.7作为中立实现身份的超级人工智能

Hyper AI can serve as a neutral technology and product-enablement identity across supported hardware.超级人工智能可以在受支持的硬件上充当中立技术和产品支持身份。

Its role is similar in principle to a recognized platform or capability mark that tells customers, distributors, and retailers that a device is supported by a defined AI software and service layer.其作用原则上类似于公认的平台或功能标记，该标记告诉客户、分销商和零售商设备受定义的人工智能软件和服务层的支持。

The Hyper AI identity may be used in the following areas.Hyper AI标识可用于以下领域。

App Product Presentation应用产品呈现

A connected device may be displayed inside the Hyper AI App using:连接的设备可以通过以下方式显示在Hyper AI应用程序中：

• Product name品 名
• Device image设备图像
• Model information型号信息
• Supported AI functions支持的AI功能
• Activation status激活状态
• Service-package information服务包信息

App Naming The standard App may use Hyper AI as the primary user-facing software identity.应用程序命名标准应用程序可以使用Hyper AI作为面向用户的主要软件标识。

Product Definition Supported products may be described as:产品定义支持的产品可以描述为：

• Hyper AI-enabled earbuds支持超级AI的耳机
• Hyper AI-enabled audio glasses支持超人工智能的音频眼镜
• Hyper AI recording glasses超人工智能录音眼镜
• Hyper AI Agent OS-enabled devicesHyper AI Agent支持操作系统的设备
• AI wearables powered by Hyper AI由Hyper AI提供支持的AI可穿戴设备

Marketing and Channel Communication Recommended expressions include:营销和渠道沟通推荐的表达方式包括：

Integrated with Hyper AI Agent OS与 Hyper AI Agent OS 集成

These expressions communicate that the product receives AI capabilities from the Hyper AI platform, while the hardware manufacturer remains responsible for the physical product and its commercial positioning.这些表达式传达了产品从Hyper AI平台获得AI功能，而硬件制造商仍然对物理产品及其商业定位负责。

A concise partner-facing expression is:面向合作伙伴的简洁表达是：

Your hardware, powered by Hyper AI.您的硬件，由 Hyper AI 驱动。

11.8 Division of Responsibilities11.8职责分工

The partnership works through a clear division of roles.这种伙伴关系通过明确的角色划分发挥作用。

Hardware Manufacturer硬件制造商

The hardware manufacturer is responsible for:硬件制造商负责：

• Product design產品設計
• Hardware engineering硬件工程
• Manufacturing and quality control制造和质量控制
• Supply chain供应链
• Certifications证书
• Packaging包装
• Distribution and sales散发和销售
• Hardware warranty and after-sales responsibilities硬件保修及售后责任
• Firmware coordination where required必要时进行固件协调

Hyper AIHyper AI 平台

Hyper AI is responsible for the supported software and AI service layer, including:Hyper AI负责支持的软件和人工智能服务层，包括：

• Standard Hyper AI App标准超级人工智能应用程序
• Hyper AI Agent OS capabilitiesHyper AI Agent OS功能
• Supported cloud AI services支持的云AI服务

Device profiles设备简介(&D)：

• Device activation设备激活
• Standard service plans标准服务计划
• Supported product configuration支持的产品配置
• Standard software maintenance and updates标准软件维护和更新
• Supported AI workflow development支持AI工作流程开发

This separation allows both parties to focus on their respective strengths while delivering a more capable combined product.这种分离使双方能够专注于各自的优势，同时提供更强大的组合产品。

11.9 Commercial Relationship11.9商业关系

The current partner strategy is not based on sharing subscription, recharge, or service revenue with the hardware manufacturer.当前的合作伙伴策略并非基于与硬件制造商共享订阅、充值或服务收入。

The manufacturer’s value is created primarily through:制造商的价值主要通过以下方式创造：

• Stronger product differentiation更强的产品差异化
• Higher perceived value更高的感知价值
• Higher potential selling price更高的潜在售价
• Improved channel acceptance渠道接受度提高
• Faster market entry更快进入市场
• Increased hardware competitiveness提高硬件竞争力

Hyper AI subscriptions, add-on packages, and service revenue remain part of the Hyper AI service system.超级人工智能订阅、附加包和服务收入仍是超级人工智能服务系统的一部分。

The partnership therefore creates value through complementary product capabilities rather than through downstream service-revenue sharing.因此，合作伙伴关系通过互补的产品功能而不是通过下游服务-收入共享来创造价值。

11.10 Current Scope Boundary11.10 Current Scope Boundary

The current partner model includes:当前的合作伙伴模式包括：

• The standard Hyper AI App标准的超级人工智能应用程序
• Supported hardware device profiles支持的硬件设备配置文件
• Device presentation and product information器械展示和产品信息
• Hardware activation硬件激活
• Standard service plans标准服务计划
• Approved partner configuration已批准的合作伙伴配置
• Supported firmware and hardware coordination支持固件和硬件协调
• Approved Hyper AI enablement and marketing expressions已批准的超级人工智能支持和营销表达

The current offering does not include:当前产品不包括：

• Bespoke enterprise applications定制企业应用程序
• Customer-owned custom Apps客户拥有的自定义应用
• Fully customized white-label applications完全定制的白标应用
• Private or on-premises deployment私有或本地部署
• Hybrid private architecture混合私有架构
• Customer-specific enterprise systems客户特定的企业系统
• Custom private-data-export engineering自定义私有数据导出工程
• Subscription, recharge, or service-revenue sharing with hardware manufacturers与硬件制造商分享订阅、充值或服务收入

All partner proposals should distinguish clearly between supported standard configuration and capabilities outside the current product scope.所有合作伙伴提案都应明确区分支持的标准配置和当前产品范围之外的功能。

11.11 Core Partner Value11.11核心合作伙伴价值

The Hyper AI hardware-partner proposition can be summarized as:超级人工智能硬件合作伙伴的主张可以概括为：

No upfront AI software development. Faster product AI enablement. Stronger use-case value. Higher pricing potential. Greater hardware competitiveness.无前期AI软件开发。更快的产品人工智能支持。更强大的用例价值。更高的定价潜力。更强的硬件竞争力。

Hyper AI gives hardware manufacturers a practical path from conventional audio hardware to AI-enabled wearable products.Hyper AI为硬件制造商提供了一条从传统音频硬件到支持AI的可穿戴产品的实用途径。

The manufacturer does not need to build the App, cloud services, AI Agent workflows, translation infrastructure, or knowledge system independently. Instead, it can focus on building and selling competitive hardware while Hyper AI provides the intelligence layer required to create a complete AI product experience.制造商无需独立构建应用程序、云服务、AI Agent工作流程、翻译基础设施或知识系统。相反，它可以专注于构建和销售有竞争力的硬件，而Hyper AI则提供创建完整的人工智能产品体验所需的智能层。

Build the hardware. Enable it with Hyper AI.制造硬件，以 Hyper AI 赋能。

Product Availability and Roadmap Governance产品可用性和路线图治理

A single, consistent status language for product, sales, UX, and contracts针对产品、销售、用户体验和合同的单一、一致的状态语言

Every external feature list, proposal, UX/UI package, and commercial agreement should use the same product-status vocabulary. This prevents a capability under development, available only on one platform, or outside the current product scope from being understood as universally available.每个外部功能列表、提案、用户体验/用户界面包和商业协议都应使用相同的产品状态词汇。这阻止了正在开发的功能、仅在一个平台上可用的功能或当前产品范围之外的功能被理解为普遍可用的功能。

12.1 Status definitions12.1状态定义

12.2 Product status at publication12.2发布时的产品状态

12.3 Governance process12.3治理流程

Product management assigns a status to every externally presented capability.产品管理为每个外部呈现的功能分配一个状态。

UX/UI designs label unavailable or future states and do not imply a released workflow.UX/UI设计标签不可用或未来状态，并不意味着已发布的工作流程。

Sales materials use the same wording as the product status table.销售物料使用与产品状态表相同的措辞。

Commercial proposals define the platform, device, language, package, allowance, and support level.商业提案定义了平台、设备、语言、套餐、津贴和支持级别。

Release notes update the status and any changed platform dependency.发行说明更新状态和任何已更改的平台依赖关系。

Customer-specific commitments appear only in the executed specification or agreement.特定于客户的承诺仅出现在已签署的规范或协议中。

12.4 Minimum status record12.4最小状态记录

1 3 Conclusion1 3结论

Every earbud and every pair of glasses can become an AI Agent terminal每个耳塞和每副眼镜都可以成为AI Agent终端

The future of AI will not remain inside a chat box. It will move into the user's ear, line of sight, workplace, classroom, customer interaction, and daily information flow. Audio wearables are a natural interface for that transition because they are already present in the situations where people communicate, learn, decide, and act.人工智能的未来不会停留在聊天框中。它将进入用户的耳朵、视线、工作场所、教室、客户互动和日常信息流。音频可穿戴设备是这种转变的自然界面，因为它们已经在人们沟通、学习、决定和行动的情况下出现。

Hyper AI Agent OS provides the software and service layer needed to turn that interface into a complete AI workflow. Translation becomes a bilingual record. Recording becomes structured knowledge. Photos and video become part of the session timeline. Messages become a prioritized brief. Ask AI turns all of those sources into answers, reports, emails, and actions.Hyper AI Agent OS提供将该界面转化为完整AI工作流程所需的软件和服务层。翻译成为双语记录。记录成为结构化的知识。照片和视频成为会话时间表的一部分。消息成为优先考虑的简报。Ask AI将所有这些来源转化为答案、报告、电子邮件和行动。

For hardware partners, the platform creates a path from specification competition to ongoing AI differentiation and recurring service. For channel partners, it creates a clear scenario-based proposition. For business and education users, it provides practical recording, translation, knowledge, and task-delivery capabilities through the standard Hyper AI service. For end users, it reduces the gap between experiencing an event and obtaining a useful result from it.对于硬件合作伙伴来说，该平台为从规格竞争到持续的人工智能差异化和循环服务开辟了一条道路。对于渠道合作伙伴，它创建了一个清晰的基于场景的主张。对于商业和教育用户，它通过标准的Hyper AI服务提供实用的记录、翻译、知识和任务交付能力。对于最终用户，它减少了体验事件和从中获得有用结果之间的差距。

About Hyper AI关于Hyper AI

Hyper AI (https://hyperai.tracup.com), developed by TRACUP PTE. LTD., is a Recording-First Personal AI Agent platform that transforms real-world experiences into personal, searchable, and actionable AI memory.Hyper AI （ https://hyperai.tracup.com ） ，由TRACUP PTE. Ltd.是一个Recording-First Personal AI Agent平台，可将真实世界的体验转化为个人、可搜索和可操作的人工智能记忆。

TRACUP PTE. LTD. is an AI technology company focused on building intelligent software platforms and AI-powered products that connect digital intelligence with real-world experiences.TRACUP PTE. Ltd.是一家AI技术公司，专注于构建智能软件平台和人工智能产品，将数字智能与现实世界的体验联系起来。

Through Hyper AI, TRACUP is developing the next generation of AI Agent operating systems for wearable devices, enabling audio devices such as earbuds and smart glasses to evolve from simple communication accessories into intelligent AI terminals.通过Hyper AI ， TRACUP正在为可穿戴设备开发下一代AI Agent操作系统，使耳机和智能眼镜等音频设备从简单的通信配件演变为智能AI终端。

The company focuses on:该公司专注于：

• AI wearable intelligenceAI可穿戴智能
• Speech and language AI言语和语言
• Personal knowledge management个人知识管理
• Real-world AI agents真实世界的人工智能代理
• Human-centered AI interaction以人为中心的人工智能交互

TRACUP’s mission is to bridge the gap between artificial intelligence and everyday human activities, enabling AI to better understand people, environments, and meaningful moments.TRACUP的使命是弥合人工智能与人类日常活动之间的差距，使AI能够更好地了解人、环境和有意义的时刻。

Hyper AI — Every Conversation. Every Moment. Every Result.超级人工智能—每次对话。每一刻，每一个结果。

HYPER AI AGENT OSHYPER AI代理操作系统

Make every earbud and every pair of glasses an AI Agent terminal.让每只耳机和每副眼镜都成为AI Agent终端。

Make every sound a source of productivity.让每一个声音都成为生产力的源泉。

FAQ常见问题解答

1. What is Hyper AI Agent OS?1.什么是Hyper AI Agent OS ？

Hyper AI Agent OS is an AI Agent operating system designed for earbuds, glasses, recording glasses, and other audio wearables.Hyper AI Agent OS是一款专为耳机、眼镜、录音眼镜和其他音频可穿戴设备设计的AI Agent操作系统。

It is not a replacement for iOS, Android, or device firmware. It is a coordinated software and service layer that works across devices, applications, AI agents, models, and session data. Its purpose is to turn sound and real-world interactions into searchable knowledge and usable outcomes such as summaries, reports, action lists, emails, and study notes.它不是iOS、Android或设备固件的替代品。它是一个跨设备、应用程序、AI代理、模型和会话数据的协调软件和服务层。其目的是将声音和真实世界的互动转化为可搜索的知识和可用的结果，如摘要、报告、行动清单、电子邮件和研究笔记。

2. How is Hyper AI different from a translation app, recorder, or chatbot?2. Hyper AI与翻译应用程序、录音机或聊天机器人有何不同？

A traditional translation app usually translates individual sentences. A recorder saves an audio file. A chatbot answers isolated questions.传统的翻译应用程序通常会翻译单个句子。录音机保存音频文件。聊天机器人回答孤立的问题。

Hyper AI connects these capabilities through a shared Session. A meeting, lecture, customer visit, translation conversation, or daily message brief can retain its audio, transcript, translation, photos, timeline, notes, and AI-generated outputs in one context.Hyper AI通过共享会话连接这些功能。会议、讲座、客户拜访、翻译对话或每日消息摘要可以在一个上下文中保留其音频、成绩单、翻译、照片、时间轴、笔记和人工智能生成的输出。

This allows the user to move through a continuous workflow:这允许用户通过连续的工作流程进行操作：

Capture → Understand → Organize → Ask → Deliver捕捉→理解→组织→询问→交付

The key difference is not a single feature, but the ability to preserve context and convert an event into a result.关键的区别不是单个功能，而是保留上下文并将事件转换为结果的能力。

3. Which devices can use H yper AI a gent OS?3.哪些设备可以使用Hyper AI a gent OS ？

Hyper AI supports several device categories:Hyper AI支持多种设备类别：

• Standard Bluetooth earbuds and TWS products标准蓝牙耳机和TWS产品
• OWS and open-ear audio devicesOWS和开耳式音频设备
• Bluetooth audio glasses蓝牙音响眼镜
• AI recording glasses with local storage带本地存储的AI录音眼镜
• AI capture glasses with photo or video capabilities具有照片或视频功能的人工智能捕捉眼镜

Ordinary Bluetooth products do not require a dedicated AI chip. In standard mode, the phone provides the application, cloud connection, and AI processing, while the wearable provides listening, speaking, feedback, and selected controls.普通蓝牙产品不需要专用AI芯片。在标准模式下，手机提供应用程序、云连接和AI处理，而可穿戴设备提供听、说、反馈和选定控件。

Devices with local storage, recording controls, cameras, or richer connectivity can support more independent and reliable workflows.带有本地存储、录音控件、摄像头或更丰富连接的设备可以支持更独立、更可靠的工作流程。

4. Which translation modes are supported?4.支持哪些翻译模式？

The principal translation modes are:主要的翻译模式有：

1）Two-way real-time conversation translation and recording1 ）双向实时对话翻译和录音

Designed for business negotiations, customer visits, exhibitions, cross-language meetings, travel, and face-to-face communication. Both participants can speak naturally while Hyper AI performs recognition, translation, voice or text output, and session recording.专为商务谈判、客户拜访、展览、跨语言会议、旅行和面对面沟通而设计。当Hyper AI执行识别、翻译、语音或文本输出以及会话录制时，两位参与者都可以自然地说话。

2）One-way real-time simultaneous interpretation and recording2 ）单向实时同声传译录音

Designed for conferences, lectures, training, product launches, speeches, and language courses. Hyper AI continuously listens to the speaker and provides translated audio or subtitles to the user.专为会议、讲座、培训、产品发布、演讲和语言课程而设计。超级人工智能不断聆听扬声器，并为用户提供翻译的音频或字幕。

Subject to the product mode, permissions, and device capability, the session can preserve original audio, recognition transcripts, translation transcripts, timestamps, and session context.根据产品模式、权限和设备功能，会话可以保留原始音频、识别成绩单、翻译成绩单、时间戳和会话上下文。

5. How many languages does H yper AI support?5. How many languages does H yper AI support?

Hyper AI uses a multi-layer language architecture:超级人工智能使用多层语言架构：

ASR input recognition: up to approximately 150+ standard languages and language variantsASR输入识别：多达约150多种标准语言和语言变体

Text translation: supported combinations depend on the selected model, region, product configuration, and package文本翻译：支持的组合取决于所选型号、区域、产品配置和包装

TTS output: approximately 60 official or standardized output languagesTTS输出：约60种官方或标准化输出语言

These numbers must not be interpreted as meaning that every recognized language supports the same real-time speech-to-speech experience.这些数字不得被解释为意味着每种公认的语言都支持相同的实时语音转语音体验。

Recognition, text translation, speech generation, and full bidirectional speech translation are separate capability layers. Accuracy, latency, voice quality, and available language pairs may vary.识别、文本翻译、语音生成和全双向语音翻译是独立的能力层。准确性、延迟、语音质量和可用的语言对可能会有所不同。

6. How does recording work with ordinary bluetooth devices versus recording glasses?6.与录音眼镜相比，普通蓝牙设备如何进行录音？

Phone-side recording手机端录音

With ordinary Bluetooth earbuds or audio glasses, the mobile device acts as the recording and processing host. Audio can be sent into transcription, summaries, notes, and Ask AI.对于普通的蓝牙耳机或音频眼镜，移动设备充当记录和处理主机。音频可以发送到转录、摘要、笔记和Ask AI。

This mode is affected by mobile-system permissions, background execution, incoming calls, microphone conflicts, audio routing, and power-management policies.此模式受移动系统权限、后台执行、来电、麦克风冲突、音频路由和电源管理策略的影响。

Device-side independent recording设备端独立录音

Recording-capable glasses or earbuds can preserve audio in local device storage independently of whether the Hyper AI App remains in the foreground.支持录音的眼镜或耳机可以在本地设备存储中保留音频，无论Hyper AI应用程序是否保留在前台。

This mode is better suited to long meetings, lectures, interviews, customer visits, and other interruption-sensitive scenarios. Files can be synchronized to Hyper AI during or after the session, depending on hardware capability.这种模式更适合长时间的会议、讲座、访谈、客户拜访和其他对中断敏感的场景。文件可以在会话期间或会话之后同步到Hyper AI ，具体取决于硬件功能。

7. What can multimedia notes and A s k AI produce after a session?7.多媒体笔记和A s k AI在会话后可以产生什么？

Hyper AI is designed to create usable outcomes rather than only transcripts.Hyper AI旨在创建可用的结果，而不仅仅是成绩单。

Depending on the source material and scenario, the system can generate:根据源材料和场景，系统可以生成：

• Meeting minutes会议纪要
• Bilingual summaries双语摘要
• Study notes研究笔记
• Training summaries培训摘要
• Customer-visit reports客户拜访报告
• Sales reports销售数据报告
• Project summaries项目摘要
• Key decisions and risks关键决策和风险
• Owners, deadlines, and action items所有者、截止日期和行动项目
• Review questions and study plans复习问题和学习计划
• Email and reply drafts电子邮件和回复草稿

Ask AI can continue working within the same context. For example, a user can first request a meeting summary, then extract risks, convert them into action items, and finally generate a follow-up email without restarting the task.ASK AI可以继续在相同的背景下工作。例如，用户可以先请求会议摘要，然后提取风险，将其转换为行动项目，最后在不重新启动任务的情况下生成跟进电子邮件。

8. What is currently available on A ndroid and i OS?8.目前在Android和i OS上有哪些可用功能？

The current product status is:目前的状况是：

Ask AI is already available inside the Hyper AI App. Native Siri and Gemini support should not be described as released until the applicable integrations are officially available.Ask AI已在Hyper AI应用程序中可用。在适用的集成正式推出之前，不应将原生Siri和Gemini支持描述为已发布。

9. What pricing plans, usage limits, and add-on options are available for Hyper AI?9. Hyper AI有哪些定价计划、使用限制和附加选项？

Hyper AI currently provides three plans and three one-time add-on packages:Hyper AI目前提供三个套餐和三个一次性附加套餐：

Additional one-time quota can be purchased through:额外的一次性配额可以通过以下方式购买：

• Add-on 600: 600 minutes for $12附加组件600 ： 12 $ 600分钟
• Add-on 1500: 1,500 minutes for $24附加组件1500 ： 24 $ 1500分钟
• Add-on 3600: 3,600 minutes for $48附加3600 ： 3600分钟， $ 48

“No per-session limit” under the Pro Plan does not mean unlimited monthly usage. Once the applicable monthly quota is exhausted, users must wait for the next quota cycle or purchase an add-on package. Unused-minute rollover, add-on expiration, taxes, and regional pricing are not specified in the current pricing policy and should not be promised unless confirmed in the final service terms.Pro计划下的“无每会话限制”并不意味着每月无限制使用。适用的每月配额用完后，用户必须等待下一个配额周期或购买附加包。当前的定价政策未指定未使用的分钟延期、附加组件过期、税费和区域定价，除非在最终服务条款中确认，否则不应承诺。

10. What are the main functional differences between H yper AI and the standard capabilities of i P hone and A ndroid?10. Hyper AI与i P hone和A ndroid的标准功能之间的主要功能差异是什么？

11. H ow do H yper AI B luetooth earbuds or glasses create a multimedia AI note?11. Hyper AI B luetooth耳机或眼镜如何创建多媒体AI音符？

12. Are cloud services, software updates, and technical support included?12.是否包括云服务、软件更新和技术支持？

They are included according to the selected package, not automatically as one unlimited service commitment.它们将根据所选套餐包含在内，而不会自动作为一项无限服务承诺。

The technical overview lists cloud services such as:技术概述列出了云服务，例如：

• Speech recognition语音识别
• Translation and speech output翻译和语音输出
• LLM and Ask AI processingLLM和Ask AI处理
• OCR and media processingOCR和媒体处理
• Cloud storage and synchronization云存储和同步
• Knowledge services知识服务
• Account, activation, and device management帐户、激活和设备管理

Base application maintenance may include bug fixes, security fixes, operating-system compatibility, and baseline experience improvements. Standard support may include product guidance, issue reporting, and normal release maintenance. Partner support may include device onboarding, testing coordination, and release preparation.基本应用程序维护可能包括错误修复、安全修复、操作系统兼容性和基线体验改进。标准支持可能包括产品指导、问题报告和正常发布维护。合作伙伴支持可能包括设备引导、测试协调和发布准备。

The exact included scope is not specified and must be stated in the commercial proposal.未指定所包含的确切范围，必须在商业建议书中说明。

13. What makes H yper AI a better option for our products?13.是什么让H yper AI成为我们产品的更好选择？

The technical overview does not claim that Hyper AI is universally superior in every individual feature. Its stated differentiation is the integrated, session-based workflow.技术概述并未声称Hyper AI在每个单个功能方面都具有普遍优势。其明确的区别在于基于会话的集成工作流程。

The principal advantages identified are:确定的主要优势包括：

Translation, recording, media, notes, messages, and Ask AI can remain in one session context翻译、录音、媒体、笔记、消息和Ask AI可以保留在一个会话上下文中

Users can return from AI-generated results to original audio, transcripts, translations, or media where available用户可以从人工智能生成的结果返回到原始音频、成绩单、翻译或媒体（如有）

The system generates usable outcomes such as minutes, reports, tasks, replies, and knowledge entries系统生成可用的结果，如会议记录、报告、任务、回复和知识条目

Standard Bluetooth products can participate without a dedicated AI chip标准蓝牙产品无需专用AI芯片即可参与

Hardware with local storage, cameras, and device controls can support deeper and more reliable workflows带有本地存储、摄像头和设备控件的硬件可以支持更深入、更可靠的工作流程

The same Agent OS foundation can support multiple wearable-device categories同一个Agent OS基础可以支持多个可穿戴设备类别

The technical overview positions Hyper AI as a complete workflow layer for audio wearables rather than a single-purpose translation or recording function.技术概述将Hyper AI定位为音频可穿戴设备的完整工作流程层，而不是单一用途的翻译或录制功能。

14. What are the functional differences compared with other solutions?14.与其他解决方案相比，功能有哪些区别？

The technical overview provides a category-level comparison, not an independent product-by-product benchmark.技术概述提供了类别级别的比较，而不是独立的逐个产品基准。

Its main functional distinction is the workflow:其主要功能区别在于工作流程：

Translation → Recording → Transcription → Multimedia Notes → Ask AI → Deliverable翻译→记录→转录→多媒体笔记→询问AI→交付内容

Compared with typical native mobile functions or translation-focused applications, Hyper AI is described as supporting:与典型的原生移动功能或以翻译为重点的应用程序相比， Hyper AI被描述为支持：

• Translation-session audio and transcript preservation翻译会话音频和成绩单保存
• Automatic handoff from translation to AI notes从翻译到AI笔记的自动切换
• Multimedia time alignment多媒体时间对齐
• Structured multimedia notes结构化多媒体笔记
• Ask AI over the complete session在整个会话中询问AI
• Integrated generation of reports, replies, tasks, and knowledge entries集成生成报告、回复、任务和知识条目

The document states that competitor capabilities vary by product and does not claim that every competing product lacks all of these functions.该文件指出，竞争对手的能力因产品而异，并没有声称每个竞争产品都缺乏所有这些功能。

15. Are there differences in translation quality and accuracy?15.翻译质量和准确性是否存在差异？

The technical overview does not provide:技术概述未提供：

• A quantified accuracy rate量化的准确率
• A BLEU, WER, or other benchmark resultBLEU、WER或其他基准结果
• A validated head-to-head accuracy comparison经过验证的头对头准确性比较
• A claim that Hyper AI is more accurate than all competitors声称Hyper AI比所有竞争对手更准确

It states that translation performance may be affected by:它指出，翻译性能可能受到以下因素的影响：

• Language pair语言对
• Audio route音频路由
• Device setup设备设置

Network conditions网络条件：

• Environment环境
• Audio quality音频质量
• Speaker overlap扬声器重叠
• Selected model所选型号
• Target language and output mode目标语言和输出模式

Therefore, based strictly on the technical overview, no absolute comparative accuracy claim should be made.因此，严格依据技术概述，不得提出绝对比较精度主张。

16. How does supported-language coverage differ from competitors?16.支持的语言覆盖范围与竞争对手有何不同？

Hyper AI provides broad multi-layer language coverage, with approximately 150+ recognizable input languages and variants and approximately 60 official output languages, while full real-time speech-to-speech availability depends on the language pair, model, device mode, region, and product configuration.Hyper AI提供广泛的多层语言覆盖，拥有约150多种可识别的输入语言和变体以及约60种官方输出语言，而完全实时的语音到语音的可用性取决于语言对、型号、设备模式、区域和产品配置。

Hyper AI uses a multi-layer language architecture rather than presenting a single language-count figure:Hyper AI使用多层语言架构，而不是呈现单个语言计数图：

• Approximately 150+ recognizable input languages and language variants大约150多种可识别的输入语言和语言变体
• A separate set of supported full real-time speech-to-speech language combinations一组单独的支持全实时语音到语音的语言组合

Based on the current comparison material:基于当前对比材料：

These figures are not directly equivalent. Some providers count supported translation pairs, others count input-recognition languages, and others count available speech-output languages.这些数字并不是直接等价的。一些提供商计算支持的翻译对，另一些计算输入-识别语言，还有一些计算可用的语音输出语言。

Hyper AI’s main distinction is therefore not only the headline number. It separates:因此， Hyper AI的主要区别不仅仅是标题编号，它将：

• ASR input recognitionASR输入识别
• Text translation文字翻译
• TTS outputTTS输出
• Full speech-to-speech translation语音转语音翻译

and integrates these capabilities with earbuds, glasses, recording, bilingual session records, AI notes, and Ask AI.将这些功能与耳机、眼镜、录音、双语会话记录、AI笔记和Ask AI集成在一起。

17. Is H yper AI compatible with TWS earbuds and future firmware development?17. H yper AI是否与TWS耳机和未来固件开发兼容？

Yes. Bluetooth earbuds and TWS products as supported device categories.可以。蓝牙耳机和TWS产品是支持的设备类别。

With standard Bluetooth mode:使用标准蓝牙模式：

• The phone provides the application, cloud connection, recording, and AI processing手机提供应用、云连接、录音、AI处理
• The TWS product provides audio input, audio output, status feedback, and supported controlsTWS产品提供音频输入、音频输出、状态反馈和支持的控件
• No dedicated AI chip is required for the standard mode标准模式不需要专用AI芯片

The technical overview also states that device and firmware collaboration may cover:技术概述还指出，设备和固件协作可能涵盖：

• New device profiles新设备配置文件
• Bluetooth behavior蓝牙行为
• File protocols文件协议
• OTA coordinationOTA协调

However, future firmware work is not described as automatically included. It must be defined by the hardware partnership and engineering scope.但是，未来的固件工作不会被描述为自动包括在内。它必须由硬件合作伙伴和工程范围定义。