你有没有过这种瞬间：脑子里蹦出一个超棒的画面，却苦于没有摄像机、没有团队、甚至连剪辑软件都搞不定？SnapGen AI 就是冲着这个痛点来的。它是个在线 AI 视频生成工作室，你只需要敲几句文字，或者上传一张图片，它就能给你变出一段 4 到 30 秒的短视频。听起来是不是有点像魔法？其实背后是一堆强大的 AI 模型在干活。

它到底能做什么？

SnapGen AI 的本事，说白了就是两招：文本生成视频和图片生成视频。

• 文本生成视频：你描述主体、动作、光线、镜头运动，比如“宇航员漂浮在地球上方，阳光掠过面罩，缓慢推近”，它就能把这个画面变成动态短片。用来快速验证故事方向、找视觉氛围，再合适不过。
• 图片生成视频：上传一张 PNG、JPEG 或 WebP 图片（别超过 4MB），再告诉它你想让画面怎么动，静态照片或插画就能获得自然的位移、镜头推进和细节变化。

这还没完，它最讨喜的地方是模型选择多。Veo 3.1 Fast、Veo 3.1 Lite、Veo 3.1、Veo 2、Seedance 2.5、Seedance 2.0 系列、Grok Imagine……你可以在这些模型之间来回切换，快速草稿用轻量款，想要更长更精致的场景就换重型武器。

参数和成本，明明白白

用过 AI 视频工具的人都知道，最怕的就是“生成一时爽，积分火葬场”。SnapGen AI 在这点上做得挺透明：根据你选的模型，可以调整时长、分辨率（720P、1080P、4K）和画面比例，生成按钮旁边实时显示需要多少积分。下单前你就能权衡质量、长度和预算，不用事后拍大腿。

音频方面，兼容的模型会自动启用声音，Veo 2 则生成无声视频。下载前你可以同时检查画面和音频，减少后期返工的麻烦。

生成完成后，预览一下运动、细节和整体观感，满意了直接下载。不过要提醒一句：下载后记得自己保存好，因为普通供应商链接可能会过期。

谁适合用它？

• 短视频创作者和自媒体运营者：需要频繁产出社交平台内容，SnapGen AI 能快速把脚本或图片变成吸引眼球的动态场景，省下拍摄和剪辑的成本。
• 营销和广告人员：制作产品概念片、广告分镜、活动预热素材，多模型和成本预估让团队在预算内快速试错。
• 独立电影人和分镜设计师：先把关键镜头视觉化，用于提案、预演和风格探索，正式拍摄前统一创作方向。
• 旅行和生活方式博主：生成风景、城市氛围和过渡镜头，弥补无法实拍的空镜，让内容节奏更完整。
• 电商和产品团队：把产品图片转化为动态展示或概念视频，用在落地页、社交广告和演示材料上。
• AI 视频爱好者和初学者：无需复杂软件，按提示词、模型、参数一步步来就能上手，适合学习 AI 视频生成流程。

几个让人心动的细节

失败返还积分：如果任务被确认失败或取消，扣除的积分会返还。这个机制挺良心，至少不会让你白白浪费钱。

官方画廊：里面展示精选视频，你可以从中找提示词、风格和运镜的灵感。有时候不知道怎么写提示词，去画廊逛一圈就有思路了。

使用流程简单：打开网站，选文本或图片模式，输入提示词或上传图片，挑模型，设参数，看积分，点生成，预览，下载。七步走完，一个视频就诞生了。

产品数据一览

• 视频时长：4 至 30 秒
• 支持模型：Veo 3.1 Fast、Veo 3.1 Lite、Veo 3.1、Veo 2、Seedance 2.5、Seedance 2.0、Seedance 2.0 Fast、Seedance 2.0 Mini、Grok Imagine
• 分辨率：720P、1080P、4K
• 图片上传格式：PNG、JPEG、WebP（不超过 4MB）
• 音频支持：兼容模型自动启用，Veo 2 无声
• 付费方式：积分制，需购买积分
• 失败处理：确认失败或取消的任务返还积分

产品链接

想亲自试试？传送门在这里：https://top.aibase.com/tool/snapgen-ai

Let's face it: building a business presentation from scratch is a special kind of pain. You've got the ideas, the data, the urgency—but somehow you end up spending hours nudging text boxes and hunting for the right template. Gixo Lumen wants to take that pain away. It's an AI-powered presentation maker that turns your raw input—a topic, a set of notes, a brief, an article, even an uploaded file—into a complete, well-designed slide deck. And it's not just about speed; Lumen emphasizes a "reviewable" workflow, so you're always in the driver's seat.

Key Features

Smart Outline Planning

You give Lumen a topic or dump in your notes. The AI chews through it, pulls out the key points, and spits out a hierarchical outline. Suddenly, your scattered thoughts have a logical flow. You can tweak the outline before generating slides, which means less back-and-forth later.

Diverse Visual Themes

Lumen comes with a bunch of professionally designed business themes. The AI suggests one that matches your content's vibe, but you can swap it out anytime. The result? A deck that looks cohesive and polished, without you having to play graphic designer.

Source Review Mechanism

Here's a feature that sets Lumen apart: it identifies and verifies sources from your uploaded documents and external materials. It flags citations and alerts you to potential issues, so your presentation doesn't just look good—it's credible. For consultants and analysts, that's gold.

Multi-Format Content Import

No need to reformat everything. Lumen accepts direct topic input, pasted notes, uploaded briefs, articles, and common office docs. The AI transforms that jumble into structured slides automatically. It's like having a tireless assistant who never complains about messy handwriting.

Presentation Delivery Mode

When it's showtime, Lumen has your back. There's a built-in player with speaker notes, page transitions, rehearsal timers, and keyboard shortcuts. You can present live or share online—no extra software needed.

Collaboration and Feedback

Share your deck via link with teammates or clients. They can comment and suggest edits, making it easy to refine content together. No more emailing around bulky files.

Product Data

• Product Name: Gixo Lumen
• Category: AI Presentation Tool
• Target Users: Business professionals (sales, marketing, product managers), consultants, startup founders, educators, and students.
• Key Use Cases:
  • Sales teams converting product brochures into customer-facing decks.
  • Consultants distilling long research reports into clear, data-backed presentations.
  • Product managers turning PRDs into review meeting slides with traceable sources.
  • Educators and students creating lecture materials and project presentations.
• Core Capabilities: AI outline generation, theme selection, source verification, multi-format import, presentation playback, and collaborative review.
• Pricing: Not specified on the page; likely requires signing up on the official website for subscription details.

Product Link

Gixo Lumen on AIBase

律所对 AI 工具的感情很复杂：想要效率，又怕数据泄露；想要功能，又怕被供应商锁死。MikeOSS 的出现，像是给这个困局开了扇窗。它是一个开源的法律 AI 平台，定位是 Harvey 和 Legora 的替代品，但走的是另一条路——功能对齐，零许可成本，还能自己托管。

什么意思呢？就是说，你的文件不用离开律所的边界，合规、数据驻留、特权控制权都握在自己手里。你可以选模型，只付 API 的钱。代码是开放的，提示怎么构建、引用怎么解析、数据怎么流动，全都可以审计。不满意？分叉代码，自己改。

核心功能

聊天与文档问答：像跟助手对话一样，上传文档，它就能基于内容回答，还带引用。研究判例、多步骤任务、起草合同，都能干。

项目工作区：按事务或项目组织材料，信贷协议、股权购买协议、租赁合同、尽调包，一股脑传进去。助手记得上下文，不用你反复解释背景。

表格化并行审查：成百上千份文档，用电子表格风格并行提取信息。每个单元格都能追溯到具体页面和引文，没有幻觉答案。

可复用工作流：把验证过的提示保存成工作流，比如条件先决条件清单、信贷协议摘要、控制权变更审查。初级律师一键就能跑。

文档生成与模板起草：从模板起草文件，比如从特殊目的实体信贷协议生成条件先决条件清单。

开源、自托管、可审计：零许可成本，没有供应商锁定，没有按席位涨价的烦恼。代码开放，提示工程、引用解析、数据流，随便审计。

可扩展与集成：分叉、扩展、添加特定工作流、集成文档管理系统、接入自有引用引擎。0.3.0 版本还加了法院听众集成研究、文档版本控制、多因素认证、模型上下文协议连接器、移动端改进。

模型与部署自由：支持开放 AI 模型等，你选模型，只付 API 成本。云端用或者克隆仓库自己部署，随你。

产品数据

• 价格：软件开源免费，云端免费注册，模型 API 费用自负。
• 部署：云端托管或自托管，自托管时文档不出边界。
• 版本：0.3.0 增加了法院听众集成、文档版本控制、多因素认证、模型上下文协议连接器、移动端与工作流改进。
• 目标用户：律所与诉讼、交易团队；企业法务与合规团队；IT 与知识管理团队；成本敏感的中小型律所；法律科技创新团队与开发者；关注供应商锁定的组织。

产品链接

官网：https://mikeoss.com

GitHub：https://github.com/mikeoss

你有没有算过，一年花在打电话上的时间有多少？订餐厅、改预约、咨询营业时间……这些琐碎的通话看似不起眼，加起来却能吞掉大把光阴。更别提那些让人抓狂的等待音乐和绕来绕去的语音菜单了。

现在，有个叫 call4me 的服务，想帮你把这块时间抢回来。它做的事情很简单：让 AI 智能体学会打电话。通过 MCP（Model Context Protocol）协议，call4me 能把电话能力“嫁接”到 Claude Code、Codex、ChatGPT 等 AI 工具上。你只需要用大白话告诉 AI 你的需求，比如“帮我订明晚 7 点 Nopa 餐厅的 4 人桌”，它就会自动拨号、等待接通、应对语音菜单，甚至完成转接，最后把结果汇报给你。

整个过程，你完全不用拿起手机。

核心功能

无缝集成主流 AI 代理

call4me 支持 Claude Code、Codex、Muse、Grok 等多种 AI 代理。这意味着，无论你习惯用哪个工具，都能轻松调用电话功能。不需要额外开发，配置好远程 MCP 服务器（URL 是 https://call4.me/mcp），你的 AI 就瞬间拥有了“嘴巴和耳朵”。

像真人一样处理通话

这可不是简单的自动拨号。call4me 能应对真实通话中的各种状况：耐心等待接听、听懂语音菜单并按提示按键、转接分机，甚至把用户拉进三方通话。它模拟的是完整的通话流程，而不是机械地播放录音。

按分钟计费，透明可控

费用方面，call4me 采用预充值模式，每分钟 0.25 美元。通话开始时，系统会预先冻结最高费用，结束后按实际时长结算。没有月租，随时充值，未使用的额度可以保留。每次通话花了多少钱，账户页面一目了然。

自然语言指令，说人话就行

你不需要学习复杂的指令格式。直接对 AI 说“帮我改预约时间”或者“问一下营业时间”，它就能解析你的意图并执行。通话完成后，它会简洁地汇报结果，比如“预约已改到周五下午 3 点”。

多平台适配，灵活认证

无论你是在本地终端使用 Claude Code，还是在网页端使用 ChatGPT，call4me 都能通过远程 MCP 服务器连接。登录支持 Google 或 X 账号，方便不同习惯的用户。

产品数据

• 计费方式：按分钟计费，$0.25/分钟，预充值，无月租
• 最低充值：$10（支持信用卡）
• 集成工具：Claude Code、Codex、Muse、Grok 等
• 认证方式：Google 或 X 账号登录
• MCP 服务器地址：https://call4.me/mcp
• 适用场景：餐厅预订、预约改期、价格咨询、营业时间查询等

真实使用案例

• 在旧金山 TAO 餐厅订晚餐：用户让 AI 预订今晚 8 点两人的桌子，AI 拨打电话完成预订，全程只花 25 美分。
• 牙科预约调整：用户要求将周四 3:30 的预约改到周五下午 3 点后，或周一任意时间，并尽量保留同一个牙医，AI 成功完成改期。
• 眼睛检查预约：用户需要为新患者预约最近的眼科检查，并且自付无保险，AI 打电话获取了自付价格并预约成功。

使用教程

想试试？步骤很简单：

1. 访问 call4.me 网站，用 Google 或 X 账号登录，充值至少 $10。
2. 登录后获取个人 API 密钥（或使用一次性提示词），用于 MCP 认证。
3. 在你使用的 AI agent（如 Claude Code、Codex）中添加 call4me 远程 MCP 服务器，URL 为 https://call4.me/mcp，并配置认证方式。
4. 重启或重新加载 MCP 服务器，然后调用 call4me get balance 验证连接是否成功。
5. 直接向 AI 输入自然语言任务，比如“帮我订明天晚上 7 点 Nopa 餐厅的 4 人桌”，AI 就会调用 call4me 拨打电话，等待接通，完成对话，并返回结果。
6. 在 call4.me 的账户页面可以查看通话记录和剩余余额，需要时可继续充值。

适合谁用？

• 个人用户：工作繁忙的上班族，不想浪费时间打电话，让 AI 帮忙订餐厅、改预约，自己只需查看结果。
• 开发者/AI 爱好者：喜欢用 Claude Code、Codex 等工具提升效率的人，可以将 call4me 作为自定义工具集成到自动化流程中。
• 小企业主/自由职业者：需要频繁联系客户或供应商，但人手不足，利用 AI 打电话减轻行政负担。
• 需要频繁电话沟通的专业人士：如助理、客服、运营人员，可以用 AI 处理重复性咨询，避免长时间排队等待。

产品链接

https://top.aibase.com/tool/call4me

产品介绍

你有没有过这样的经历？盯着一个静态的网站模板截图，脑子里却在拼命想象它动起来的样子——滚动时会不会有视差？元素会不会渐入？3D 模型会不会跟着鼠标转？结果，想象和现实总是差那么一截。

ScrollHaus AI 就是为了解决这个痛点而生的。它把自己定位成“先看方向，再写 prompt”的平台，收录了 100 个完整网站和 131 个模板，每一个都带着真实的滚动动效。你不用再靠脑补，直接在浏览器里滚动页面，感受视差、渐入、旋转、3D 跟随这些细节。觉得对了，就复制对应的提示词，丢给 Lovable、Bolt、Claude Code 这些 AI 建站工具，项目就起来了。

说白了，它就像是一个动画网站的“试衣间”——先试穿，再下单。

核心功能

真实滚动，所见即所得

ScrollHaus 最吸引人的地方，就是所有模板都能像真实网站一样滚动。你可以在购买或下载前，亲手体验页面的节奏和动效。视差滚动、元素渐入、3D 跟随鼠标……这些不再是静态截图里的谜题，而是你指尖下的真实反馈。

源码 + 提示词，双管齐下

每个模板都提供可编辑的源码，以及专门为 AI 建站工具设计的提示词。你可以直接复制提示词到 Lovable、Bolt、Claude Code 等工具里，快速生成项目；也可以下载源码，深入研究滚动动效的实现方式。对于开发者来说，这简直是学习 3D 交互、视差动画的活教材。

分类齐全，找模板不迷路

平台支持按 Hero、Landing Page、Agency、Portfolio、Ecommerce、SaaS、AI、3D、Wellness、Travel、Tech、Fintech 等标签筛选，还能按人气、最新、名称排序。无论你是做美妆品牌官网，还是 SaaS 产品落地页，都能快速定位到合适的风格。

每周上新，灵感不断

ScrollHaus 每周两次新增网站模板，保持灵感库的新鲜度。你总能找到当下流行的滚动叙事和视觉趋势，特别适合那些持续关注行业动态的设计团队。

免费 + 付费，丰俭由人

平台提供免费精选模板，也有 Premium 全量访问入口。个人练习可以用免费版，商业项目或团队协作可以升级 Premium。支持年付和终身方案，结算时输入促销码 SCROLL17 还能享受 17% 折扣。

多工具兼容，无缝衔接

覆盖 Lovable、Cursor、Bolt、Claude、Base44、Codex、CodeRabbit、Replit、Emergent 等工具，你可以在自己熟悉的工作流里直接使用模板，不用来回切换。

社区与扩展资源

除了模板，平台还附带 Prompt、Templates、Backgrounds、Effects、Journal、MCP 等板块，从单个动效细节到整站建设，一站式参考。

产品数据

• 模板数量：100 个完整网站 + 131 个模板
• 更新频率：每周两次新增
• 价格模式：免费模板 + Premium 订阅（年付/终身），促销码 SCROLL17 享 17% 折扣
• 兼容工具：Lovable、Cursor、Bolt、Claude、Base44、Codex、CodeRabbit、Replit、Emergent 等
• 适用人群：独立设计师、AI 建站工具使用者、初创团队、前端开发者、电商与品牌方

使用场景

自由设计师接美妆品牌官网：在 ScrollHaus 找到 KALEIDO 模板，预览动效后复制 prompt 到 Lovable，几小时生成初稿，再替换品牌色和文案。

开发者学习 3D 动效：用 MR DAB 模板的源码，结合 Claude Code 分析改造，移植到自己的互动作品集。

初创 SaaS 团队做发布会落地页：从模板库选 Agency 风格页面，用 Bolt 生成代码并部署，两周内完成从概念到上线。

产品链接

ScrollHaus AI 官网

What would you do if you found a recording device hidden inside a roll of toilet paper? That's exactly what OpenAI's security team discovered on September 30—a tiny bug plugged into the back of a TV in a high-level executive meeting room in San Francisco. The man behind it: Abdulrahman Alfozan, a 35-year-old Saudi engineer who had been with the company since July 2025.

The U.S. Department of Justice announced on October 13 that Alfozan was arrested on October 9 and charged with unlawful interception of oral communications. If convicted, he could spend up to five years in prison and pay a $250,000 fine (roughly 1.676 million RMB).

A Covert Operation Worthy of a Spy Novel

The indictment paints a picture of a carefully planned scheme. Alfozan allegedly used a productivity tool to map out office locations, meeting rooms, executive roles, and meeting schedules. But here's the twist: he didn't do all the digging himself. According to the DOJ, his spouse's chatbot account was used to ask about continuous recording, Wi-Fi modification, real-time eavesdropping, and encrypted SD cards.

On September 27 and 28, that same account submitted prompts about the device's customized header and unique MAC address. The recorder was installed around September 28. Surveillance footage later showed Alfozan lingering near the meeting room, even though he had no clearance to attend those meetings. Then, on October 5, he returned to check behind the television—a move that likely sealed his fate.

What Was at Stake?

That meeting room wasn't just any conference space. It was used for discussions on proprietary research, product planning, technical capabilities, business relationships, and government collaborations—the kind of secrets that could make or break a company. OpenAI's security team moved quickly, terminating Alfozan and referring the case to the FBI.

The company says there's no evidence he accessed or leaked model weights, source code, or customer data. But the fact that an engineer could plant a listening device in the heart of a major AI company is enough to raise eyebrows. It's a stark reminder that even the most innovative firms can have blind spots.

The Bigger Picture

This isn't just about one rogue employee. It's a wake-up call for the entire tech industry. As AI companies guard their secrets like dragon's gold, physical security is just as crucial as digital defenses. After all, what good is a firewall if someone can slip a recorder into your boardroom?

Alfozan's arrest also highlights the growing role of AI tools in criminal investigations—and in criminal activity itself. Using a chatbot to research surveillance gear? That's a new level of audacity.

Key Points

• Arrest and charges: Abdulrahman Alfozan, a Saudi engineer at OpenAI, was arrested on October 9 for planting a hidden recorder in an executive meeting room. He faces up to five years in prison and a $250,000 fine.
• The device: Found on September 30 inside a toilet paper roll, plugged into a TV's USB port. It contained encrypted data and was installed around September 28.
• The plan: Alfozan allegedly used a productivity tool to scout office layouts and meeting schedules. His spouse's chatbot account queried recording techniques, Wi-Fi modification, and encrypted SD cards.
• Company response: OpenAI fired Alfozan and referred the case to the FBI. No evidence of leaked model weights, source code, or customer data.
• Industry impact: The incident underscores the need for robust physical security alongside digital protections in AI companies.

A U.S. court has ordered OpenAI to hand over a batch of hiring records and interview materials in a trade secrets lawsuit brought by Apple. The clock is ticking: OpenAI must deliver the first set of documents within five days, with the rest due in fourteen days.

So what exactly is Apple after? The discovery covers interview paperwork tied to former Apple employees who now work in OpenAI's consumer hardware and robotics divisions. Think interview checklists, written explanations, technical presentation slides—and yes, even LINE instant messaging records. The court also greenlit discovery for three specific OpenAI employees: Liu Chang, Peng Ailisa, and Chief Hardware Officer Tang Yaotan.

Apple's original complaint? It accused former staffers of using company laptops to download confidential materials, including unpublished technical specs and proprietary project data. As OpenAI pushes deeper into consumer hardware—devices that could go head-to-head with smartphones—the case has become a flashpoint over where talent acquisition ends and trade secret theft begins.

This isn't just a legal skirmish. It's a test of how far AI companies can go when recruiting from rivals, and what safeguards tech giants can realistically enforce. The outcome could ripple through industry talent mobility and reshape technology protection mechanisms for years to come.

Key Points

• Court deadline: OpenAI must submit initial documents within 5 days, remaining ones within 14 days.
• Scope of discovery: Interview checklists, technical slides, explanations, and LINE chat logs.
• Named employees: Liu Chang, Peng Ailisa, and Chief Hardware Officer Tang Yaotan.
• Apple's claim: Former employees downloaded confidential specs and project data via company laptops.
• Bigger picture: The case could set new boundaries for talent poaching and trade secret protection in AI hardware.

Nvidia CEO Jensen Huang is on a mission to make Europe a major player in AI—and he's putting serious money behind it. During a whirlwind tour that included a stop in Paris to meet French President Emmanuel Macron, Huang announced an additional $2 billion investment in the region. That's on top of the $8 billion Nvidia has already poured into Europe over the past year.

"Europe must join this competition," Huang declared at an event in Paris, according to Bloomberg. It's a bold call from the head of the world's most valuable chipmaker, and it signals that Nvidia isn't content to let the U.S. and China dominate the AI landscape.

A Strategic Bet on Open Source and 'Physical AI'

Huang's pitch to Europe is simple: embrace open-source AI models. He argues that open weights—where the underlying code is freely available—are cheaper and can be tailored to specific languages and local needs. It's a message that resonates with European concerns about "technological sovereignty" and reliance on American tech giants.

Nvidia has already put its money where its mouth is. The company is a key partner of French AI darling Mistral AI, providing both funding and the chips that power its latest model, Le Chonk. That model was trained on 4,000 of Nvidia's Grace Blackwell chips.

But Huang isn't stopping there. He's also invested in four other French startups:

• Doctolib, a medical appointment platform
• Pigment, an enterprise AI management software company
• Entalpic, which uses AI for chemical materials
• Genesis AI, focused on robot technology

These investments aren't random. They're part of Huang's broader strategy to build an ecosystem around Nvidia's technology—and to plant the seeds for what he calls "physical AI." He believes the next big gold rush will be humanoid robots, and he wants Nvidia to be the pickaxe seller.

The Road Ahead: Promise and Pushback

Huang's European charm offensive is as much about creating demand as it is about innovation. By investing in startups and promoting open-source models, he's hoping to accelerate AI adoption across the continent—and, of course, sell more Nvidia chips in the process.

But the path isn't without obstacles. Public opposition to AI is growing in Europe, fueled by concerns over data center energy consumption and the risks of uncontrolled AI models. Huang's grand vision may face a skeptical audience.

For now, though, he's pressing ahead. After Paris, he's set to visit London and Berlin, spreading his message that Europe can't afford to sit on the sidelines. Whether European leaders and the public buy into his vision remains to be seen. But one thing is clear: Huang is willing to spend billions to make it happen.

Key Points:

• Nvidia CEO Jensen Huang announced an additional $2 billion investment in Europe, bringing the company's total to $10 billion in the past year.
• Huang met with French President Macron and emphasized that Europe must join the AI race.
• Nvidia is backing open-source AI models and has invested in four French startups: Doctolib, Pigment, Entalpic, and Genesis AI.
• Huang sees "physical AI" and humanoid robots as the next big opportunity.
• Growing European concerns over AI safety and data center energy use could pose challenges.

A new report from Deloitte paints a stark picture of the UK job market: large companies are gearing up to swap human workers for artificial intelligence, and they're doing it fast. According to Bloomberg, the survey of chief financial officers (CFOs) found that 52% expect to use AI to cut staff in the coming year. Yet here's the twist—67% admit that AI has only delivered a quarter of what they hoped for. The technology is still in its infancy, but the axe is already being sharpened.

Deloitte polled 66 CFOs between September 17 and October 1, including 12 from the FTSE 100 and 25 from the FTSE 250. Their responses confirm a worrying trend: "growth without employment." Companies are adopting AI and facing high injury costs, so they're not hiring their way to expansion. The result? Long-term unemployment is climbing, and youth unemployment has hit its highest level in over a decade. The irony is hard to miss—this is happening in an economy growing significantly faster than its European neighbors.

The Minister Promises "Not to Leave Ordinary People Alone," but the Profit Picture Remains Murky

This puts the Labour government—led by Prime Minister Andy Burnham—in a tight spot, and AI minister Kanishka Narayan right in the crosshairs. In a speech on Monday, he vowed, "We will never let ordinary workers bear the cost of the AI revolution alone," and acknowledged public anxiety about jobs and the next generation's future.

But while companies are using AI to cut costs, they can't say for sure whether it'll boost profits. Only one-third of CFOs believe AI will increase profitability in the coming year. Meanwhile, a report this week from London training platform Multiverse, founded by Euan Blair, highlights the elephant in the room: companies keep buying AI tools but barely train employees on how to use them. "Very few companies know what their employees can actually do with AI," leading to wasted investments. You can buy the tech, but you can't buy the capability—and that might be the real crisis in the UK workforce.

Key Points:

• 52% of UK CFOs plan to cut staff using AI within a year, per Deloitte.
• 67% say AI has only met a quarter of expectations so far.
• Youth unemployment is at a 12-year high, with companies experiencing "growth without employment."
• Only 33% of CFOs expect AI to boost profits next year.
• Training gap: Firms invest in AI tools but neglect employee training, risking wasted spending.

Imagine telling your phone to plan a weekend getaway, and it actually does it—booking flights, finding hotels, and even suggesting restaurants. That's the promise of a new collaboration between OPPO and AI agent platform Manus, announced yesterday. The two are integrating Manus's agent capabilities into OPPO's AI Mind Pilot, transforming mobile AI from a simple question-and-answer tool into a multi-step task executor.

The feature will debut on the OPPO Find X10 series, which ships with ColorOS 17. It's a key part of OPPO's "personalized proactive intelligence" strategy, aiming to make AI a true digital assistant rather than just a chatbot.

From Answers to Actions

So what does this actually mean for users? According to OPPO, the new agent mode in AI Mind Pilot can understand your goals, break down complex tasks into manageable steps, and generate ready-to-use results by pulling information from various sources and calling on tools. It also handles local files and photos on your phone.

Let's say you're planning a trip. Instead of juggling multiple apps for flights, hotels, and attractions, the AI gathers all that scattered information and combines it with online data to create a personalized itinerary. In a work scenario, it can organize photos, summarize local files and web info, and even produce presentations, proposals, or portfolios. Think of it as a proactive assistant that doesn't just answer questions—it takes action.

The Brains Behind the Operation

Tang Kai, President of OPPO Software Engineering, explained that the partnership aims to boost AI Mind Pilot's ability to understand user intent, perform operations, and complete tasks. Zhang Tao, co-founder and Chief Product Officer of Manus, sees smartphones as the ideal platform for personal AI agents. "System-level integration helps lower the barrier for advanced agents," he noted.

Privacy First

Of course, with great power comes great responsibility—especially when it comes to your data. OPPO emphasizes that ColorOS 17 processes local information on the device itself. That means when you search, organize, or rename files and photos, the original content never leaves your phone or gets shared with Manus. If cloud processing is needed, the system will ask for your explicit consent first.

The Bigger Picture

This collaboration reflects a broader trend: phone makers are weaving AI agents directly into operating systems, moving AI from information assistance to actual task execution. As our devices get smarter, they're not just answering our questions—they're rolling up their sleeves and doing the work.

Key Points:

• OPPO partners with Manus to integrate AI agent capabilities into AI Mind Pilot.
• Feature debuts on OPPO Find X10 series with ColorOS 17.
• AI can plan trips, organize files, and generate work documents.
• Local data stays private; cloud processing requires user consent.
• Signals a shift from Q&A AI to task-executing AI on mobile.

Remember when AI-generated videos were lucky to last a full minute? Those days are over. OpenAI has teamed up with Higgsfield, an AI video platform, to push the limit from 60 seconds to a full 10 minutes. The secret sauce? Higgsfield's integration of GPT-6 Astra, which acts like a self-organizing assistant director. It calls on external tools to handle complex tasks, keeping character faces, scenes, and visual details consistent from start to finish. No more jarring "casting mix-ups" where a character's face suddenly changes mid-video.

From Manual Assembly to One-Click Production

Higgsfield isn't just talking about it—they're already using it. Their YouTube channel, with nearly 500,000 subscribers, now produces teaching videos longer than 10 minutes. Previously, each video required manual assembly and proofreading. Now, the model handles it all in one go, saving significant time and resources. It's like having a full production crew in a box.

Text and Graphics That Actually Make Sense

What about readable text and infographics in videos? Higgsfield also integrated GPT-Image-2.5, which reliably renders these elements. This is a game-changer for small businesses. No longer do they need to spend a fortune on promotional materials—they can now produce quality videos at low cost. Imagine a local bakery creating a polished 10-minute promo without hiring a videographer.

The Bottom Line

The collaboration between OpenAI and Higgsfield marks a significant leap forward in AI video generation. By solving the consistency problem and enabling longer durations, they've opened the door for more ambitious content. Whether you're an educator, a small business owner, or a content creator, this technology could change how you tell stories.

Key Points:

• OpenAI and Higgsfield extend AI video duration from 1 minute to 10 minutes.
• GPT-6 Astra acts as an assistant director, ensuring consistency in characters and scenes.
• Higgsfield's YouTube channel now produces 10+ minute videos automatically.
• GPT-Image-2.5 handles text and infographics, benefiting small businesses.
• The technology reduces production costs and manual effort.

A quiet tweak to Apple's China website has set tongues wagging. The product page for the full-size HomePod now includes a line that reads: "the top lights up with a multicolored glow indicating the Siri AI function." That's not just a pretty light show—it's a strong hint that Apple's cylindrical speaker is gearing up for a smarter voice assistant.

The discovery was first flagged by X user @itspdfu, who noticed the change. For Apple watchers, this is the kind of breadcrumb that usually precedes a bigger announcement. After all, when the top of your HomePod starts pulsing with multiple colors to signal "AI is thinking," you know something under the hood is shifting.

Mini 2 Leads the Way, But With a Catch

Apple has already confirmed that the HomePod mini 2 will support Siri AI. But here's the rub: that capability won't be ready on day one. Instead, it'll be unlocked through "future software updates." In other words, you'll buy the hardware now and wait for the software to catch up.

And there's another wrinkle. On the mini 2, when Siri AI needs to handle requests that involve your personal context—like your calendar, messages, or reminders—it'll require a paired iPhone or iPad that supports Apple Intelligence. So the smartness isn't entirely self-contained; it leans on your other devices.

A Slow Rollout Strategy

The sequencing—mini 2 first, full-size model following—suggests Apple is methodically positioning Siri AI as a unified selling point for its smart home lineup. But the "hardware now, software later" approach means early adopters might not feel the magic immediately. The real experience hinges on when that OTA update lands.

For now, the multicolored glow on the full-size HomePod is more than a cosmetic detail. It's a signal that Apple is weaving AI deeper into its ecosystem, one firmware update at a time. Whether that translates into a genuinely smarter home assistant, though, remains to be seen—and felt.

Key Points:

• Apple's China website now mentions a multicolored glow on the full-size HomePod for Siri AI.
• HomePod mini 2 will support Siri AI, but only via a future software update.
• Personal context requests on mini 2 require a paired iPhone or iPad with Apple Intelligence.
• The rollout suggests a gradual integration of Siri AI across Apple's smart home devices.

Google announced on Tuesday that its flagship AI model, Argon, is now available to developers and enterprise customers worldwide. Previously, it was only offered to a select group of trusted cybersecurity professionals through Google's Fairwind program. This phased rollout balances security assessments with commercial promotion, reflecting the importance of risk control when expanding access to cutting-edge models.

Pricing and Availability

Currently, Argon is available to paying users through the Google AI Studio API, Google AI Ultra and Pro subscription services in the Gemini App, and the intelligent agent development platform Antigravity. Its pricing is $2 per million input tokens and $10 per million output tokens, with prices doubling starting in December.

Even after the price increase, it remains cheaper than the OpenAI GPT-6Astra mentioned in the text, which costs $10 per million input tokens and $50 per million output tokens. However, according to reports, some Google employees still have doubts about Argon's performance in areas such as coding.

Performance and Real-World Applications

Koray Kavukcuoglu, head of Google DeepMind, said that internal software engineers have used Argon to deliver high-quality code more quickly, and the model has also been used to optimize the user experience of Chrome. Google hopes to demonstrate the value of the model in real engineering tasks. Kavukcuoglu also said that Argon, combining multimodal reasoning, agent coding, and physical understanding capabilities, has the potential to advance embodied robotics research.

In one demonstration, researchers reconstructed the scene layout and motion trajectory from videos of humans throwing sandbags and passed the computational results to a humanoid robot, which then hit the target seven times consecutively in a real environment.

Key Points

• Google Argon is now open to global developers after a limited release.
• Pricing starts at $2 per million input tokens, doubling in December.
• It's cheaper than OpenAI's GPT-6Astra but faces internal skepticism about coding.
• The model shows promise in robotics, with a humanoid robot achieving seven consecutive hits.
• Argon combines multimodal reasoning, agent coding, and physical understanding.

In the ongoing legal showdown between Apple and OpenAI, a federal judge has just made a key ruling: Apple can fast-track access to recruitment materials from OpenAI. The court approved Apple's request to review documents tied to "OpenAI's contact with Apple employees before interviews"—specifically, applicants aiming for roles in OpenAI's consumer hardware and robotics divisions. The timing is no accident, coming just before rumors of OpenAI's first hardware device began swirling. The materials could include interview lists, guidelines, scripts, technical demos, and any records mentioning Apple technology or components.

Judge Edward Davila gave OpenAI a tight deadline: hand over the organized materials within 5 days, with the rest due in 14 days. He also greenlit Apple's access to private LINE chat records involving OpenAI employees Liu Chang and Peng Ailisa, and ordered out-of-court depositions for them and hardware chief Deng Yaotan—all three formerly worked at Apple.

Allegations of Espionage Target Chips and Blueprints

Apple's complaint isn't vague. It claims former Apple employees downloaded confidential info using company laptops: unpublished specs, engineering demos, exclusive project data. Even more damning, some who jumped to OpenAI are accused of "coaching" potential leavers on what to bring to interviews. At the heart of it? OpenAI is developing consumer hardware that could rival the iPhone—and that's exactly what has Apple worried.

But the judge didn't give Apple everything. Requests for expedited discovery on specific research like metal surface treatment and power management were denied, along with broader hardware research materials and output from "former Apple employees after joining." Davila did leave a door open: Apple can narrow its scope and reapply. This trade secret battle is clearly far from over.

Key Points

• Court ruling: Judge approves Apple's request for OpenAI recruitment materials, including interview lists and scripts.
• Deadlines: OpenAI must provide organized materials in 5 days, remaining in 14 days.
• Depositions: Ordered for Liu Chang, Peng Ailisa, and Deng Yaotan—all ex-Apple employees now at OpenAI.
• Allegations: Former Apple employees allegedly downloaded confidential data and coached others on what to bring to interviews.
• Partial denial: Apple's requests for certain technical research materials were rejected, but it can reapply with a narrower scope.

Apple is finally making a serious play for your living room. At a recent event dubbed "Welcome Home," the company unveiled four new products—all tied together by a rebuilt Siri AI that runs on Apple's own foundation models. The goal? To turn your house into a context-aware assistant that actually knows you.

A Display That Knows Your Face

The star of the show is the Apple HomeView, the company's first smart display. It packs a 7-inch Liquid Retina screen on a curved speaker base, with a stainless steel hinge that lets you tilt it just right. But the real trick is facial recognition: up to six people can be identified, and each gets a personalized home screen with their own widgets, messages, and calendar—as long as their iPhone or iPad is nearby and unlocked. Shared albums and music stay open to guests.

At $299, it comes in silver, starlight white, rose pink, and space gray, plus a wall-mount version for the same price. Pre-orders are live in the US, Canada, UK, Australia, India, and New Zealand, with a November 13 launch. Singapore gets it October 15. Sorry, EU—regulatory hurdles around Siri AI mean you'll have to wait.

HomePod mini Gets a Brain Transplant

Three years after its debut, the second-gen HomePod mini finally gets an update. It keeps the same spherical shape but adds the S10 chip for real-time computational audio. Pair four of them with the new Apple TV 4K, and you've got a four-channel surround system that auto-calibrates your room (just remember to pair them up).

It also doubles as a Mac speaker and home hub, and can recognize smoke or carbon monoxide alarms and announce visitors by face. At $149 in five colors, it ships October 30. One catch: Siri AI won't be there at launch—a future update will bring it.

Apple TV 4K: Siri Without the Remote

The fourth-gen Apple TV 4K bakes Siri AI right into your TV. With the A19 chip, CPU performance jumps up to 50% and GPU doubles, plus a dedicated AV1 decoder. The remote now supports precise finding, and built-in far-field microphones let you summon Siri without touching anything. Ask follow-up questions, and results pop up in a small window without interrupting your show. It's $299 (or $49.83/month), up for pre-order now, and launches November 13.

Smart Home Gear? Apple's Got Friends

Apple teamed up with LG and Schneider Electric for a new Home Collection of smart devices that work natively with the Home app.

• LG Smart Security Camera: Wired doorbell ($249.95), floodlight cam ($399.95), outdoor accessory ($299.95), and indoor cam ($199.95). All support up to 2.5K recording, person and pet detection, and free 10-day history with iCloud+.
• LG Smart Door Lock: $349.95, with ultra-wideband unlocking as you approach—and it works offline.
• Smart Thermostats & Sensors: Co-developed with LG and Schneider, featuring adaptive temperature adjustments.

This lineup starts rolling out in December, and US Apple Stores will offer ADT professional installation.

Key Points:

• Apple's new Siri AI, built on Apple Foundation Models, powers all four product lines.
• HomeView smart display ($299) uses facial recognition for personalized experiences.
• HomePod mini (2nd gen) and Apple TV 4K both launch November 13; HomePod mini gets Siri AI later.
• LG and Schneider Electric partner for cameras, locks, and thermostats, available December.
• EU availability is delayed due to local iOS policies on Siri AI.

OpenAI is reportedly in preliminary discussions to acquire Trail of Bits, a well-regarded cybersecurity research and consulting company. The talks, first reported on October 13, suggest that the AI giant is looking to beef up its security capabilities as its models become more powerful and widely deployed.

Why Trail of Bits?

Trail of Bits isn't your average security vendor. The company has built a reputation for deep technical work in system security, cryptographic audits, and software vulnerability discovery. Its engineers are known for finding flaws that others miss, making it a valuable asset for any organization serious about protecting its technology.

For OpenAI, the interest likely stems from the growing risks associated with advanced AI systems. As models become more capable and autonomous, they face threats like jailbreak attacks, data leaks, and compliance challenges. Having a dedicated security team with Trail of Bits' expertise could help OpenAI stay ahead of these evolving dangers.

The Bigger Picture

This potential acquisition fits into a broader trend of AI companies investing heavily in security. As AI systems move from research labs into real-world applications—especially in enterprise settings—the need for robust protection becomes critical. A single vulnerability could undermine trust and expose sensitive data.

OpenAI has already been working to improve its security posture, but bringing in an external team with a proven track record could accelerate those efforts. Trail of Bits has worked with major tech companies and government agencies, giving it a unique perspective on the threats facing AI systems.

What's Next?

The talks are still in the early stages, and neither company has confirmed the deal or discussed financial terms. Acquisitions like this can take time to finalize, and there's no guarantee they'll go through. But if the deal happens, it would be a clear signal that OpenAI is serious about building security into its core operations.

For now, the AI community will be watching closely. If OpenAI pulls this off, it could set a new standard for how AI companies approach security—not as an afterthought, but as a foundational element of their technology.

Key Points

• OpenAI is in early talks to acquire Trail of Bits, a cybersecurity firm known for its technical expertise.
• The move aims to strengthen OpenAI's defenses against AI-specific threats like jailbreak attacks and data leaks.
• Financial details are undisclosed, and the deal is not yet finalized.
• The acquisition would reflect a growing trend of AI companies prioritizing security.
• Trail of Bits' experience with major tech and government clients could give OpenAI a strategic edge.

Samsung is about to make its boldest wearable move yet. The company will officially launch its first AI smart glasses—likely called Galaxy Glasses—in November 2026. These aren't just any spectacles; they're a direct shot at the growing smart glasses arena, and Samsung is bringing serious firepower.

At the heart of the glasses is Qualcomm's Snapdragon AR1 Gen1 chip, paired with Google's Android XR operating system. That means deep integration with Google's Gemini AI, giving you real-time assistance, contextual awareness, and voice commands that actually feel smart. Imagine asking your glasses for directions, translations, or even restaurant recommendations without pulling out your phone. That's the promise.

Light on Your Face, Heavy on Features

Weighing in at just 41 grams for the standard lens version, these glasses are designed to be worn all day without weighing you down. But don't let the featherweight frame fool you—there's a lot packed inside:

• 2GB RAM and 64GB storage for apps and media
• 12MP camera that shoots 3K video at 30fps
• Four microphones and open-ear speakers for clear calls and audio
• 9 hours of battery life on a single charge, and up to 72 hours with the charging case

That's a full workday of use, plus plenty of juice for the weekend.

Fashion Meets Function

Samsung isn't going at this alone. The company has teamed up with trendy eyewear brands Gentle Monster and Warby Parker to offer multiple design styles. Because let's face it—nobody wants to wear clunky tech on their face. Starting in November, you'll be able to buy them at Samsung Experience Stores in the US and through the partner brands' official websites.

A Market Ready to Explode

The smart glasses space is heating up fast. According to Omdia, global annual shipments have already surpassed 4.2 million pairs. With Samsung entering the ring, competition with Meta and Apple is only going to get fiercer. Meta's Ray-Ban Stories have already made waves, and Apple is rumored to be working on its own AR glasses. Samsung's advantage? Deep ties with Google's AI and a reputation for sleek hardware.

What This Means for You

If you've been curious about smart glasses but put off by bulky designs or limited features, Samsung's entry could be a game-changer. The combination of Gemini AI, a lightweight frame, and fashion-forward partnerships suggests these glasses are meant for everyday people, not just tech enthusiasts. Will they replace your smartphone? Probably not. But they might become your new favorite accessory—one that answers questions, captures moments, and keeps you connected without a screen in your face.

Key Points:

• Samsung's first AI smart glasses launch in November 2026, likely named Galaxy Glasses.
• Powered by Qualcomm Snapdragon AR1 Gen1, Android XR, and Google Gemini.
• Weighs 41 grams, with 12MP camera, 3K video, 9-hour battery (72 hours with case).
• Designed with Gentle Monster and Warby Parker; sold in US Samsung stores and partner sites.
• Global smart glasses shipments already exceed 4.2 million pairs annually; competition with Meta and Apple intensifies.

On October 14, Doubao Mobile Assistant announced the end of the 30-day public comment period for its Screen Automation Execution Protocol (SAEP). The protocol, which launched alongside the consumer version of Doubao Mobile Assistant on September 14, is now set to gradually grant third-party applications access to screen automation operations. The first device to feature this version, the Nubia NaviX Ultra, hit the market on September 16.

What the Protocol Means for Third-Party Apps

During the comment period, the assistant only performed automated operations on system-built-in apps, ByteDance's own applications, and third-party apps that had explicitly agreed to join the protocol. Other apps were left untouched by default. That's about to change.

Once the comment period ends, the assistant will start granting operation permissions to apps that neither responded to the email nor joined the protocol. But it's not a free-for-all—access will be rolled out gradually based on each app's risk level. Apps that clearly refused will never be included in the operation scope. Developers can still declare refusal at any time, and the assistant will promptly disable the relevant operations. The current list of refused applications can be viewed and regularly updated through official channels.

Why the Gradual Rollout Matters

This approach gives developers and users a safety net. By tying permissions to risk levels, Doubao ensures that higher-risk apps don't get automated access overnight. It's a careful balance between innovation and control—one that could set a precedent for how other AI assistants handle third-party integrations.

For now, the ball is in the developers' court. Those who want in can join the protocol; those who don't can opt out. And for users, the message is clear: your screen automation experience is about to get a lot more capable, but not without guardrails.

Key Points

• Public comment period ended on October 14, 2026, after 30 days.
• Gradual permissions will be granted to third-party apps based on risk level.
• Apps that refused will never be operated; developers can opt out anytime.
• Refused app list is available and regularly updated via official channels.
• Nubia NaviX Ultra was the first device to feature the consumer version of Doubao Mobile Assistant.

Imagine asking your phone to "plan my trip" and it actually does it—gathering flight confirmations, hotel bookings, and restaurant reservations from scattered apps, then spitting out a day-by-day itinerary. That's not science fiction; it's what OPPO and AI agent platform Manus are promising with their new collaboration.

The Big Shift: From Answering to Doing

Yesterday, OPPO announced it's integrating Manus's agent technology into its AI Mind Pilot. Tang Kai, President of OPPO's Software Engineering, summed up the change: AI agents are moving beyond simple responses. They now understand intent, take action, and deliver real results. Zhang Tao, co-founder and CPO of Manus, pointed out that smartphones are packed with daily tasks, making them the perfect home for personal AI agents.

How It Works in Practice

The magic happens in the new agent mode of AI Mind Pilot, first available on the OPPO Find X10 series running ColorOS 17. Instead of just answering questions, it grasps your ultimate goal, breaks it into steps, fetches information, picks the right tools, and hands you a finished product. It can even access your device's files and photos.

Need a travel plan? Say the word, and it'll pull together flight tickets, hotel bookings, restaurant reservations, and event passes from various apps, mix in online info, and generate a daily schedule. For office work, one command can organize travel photos, find a specific image, or combine local and online materials into a ready-to-use PPT, proposal, or portfolio.

Privacy: On-Device First, Cloud Only With Your OK

Privacy is a major selling point here. ColorOS 17 uses on-device models for understanding and organizing, so sensitive tasks like file searching and renaming stay on your phone—nothing gets sent to Manus. If a task needs cloud processing, AI Mind Pilot will only upload data after you give explicit permission. OPPO and Manus stress that you control what information is accessed, what operations are performed, and whether external processing is allowed. It's a balance of on-device computing and transparent authorization, tying "smarter" with "controllable."

The Manus-powered AI Mind Pilot will debut on the Find X10 series first. So next time you're drowning in travel plans or office chores, your phone might just lend a hand—or rather, a brain.

Key Points:

• OPPO partners with Manus to integrate AI agent capabilities into AI Mind Pilot.
• The new agent mode moves beyond Q&A to complete multi-step tasks like trip planning and presentation creation.
• Privacy is prioritized with on-device processing and user consent for cloud tasks.
• Debuts on OPPO Find X10 series with ColorOS 17.

Imagine having a colleague who never sleeps, never forgets, and can handle your messages, documents, and meetings—all from within Enterprise WeChat. That's exactly what Tencent is rolling out with WorkBuddy's deep integration into WeCom.

On October 14, Tencent announced that WorkBuddy can now be added to your Enterprise WeChat contacts as a chatbot. Once authorized by your company, it can tap into ten core capabilities: messages, documents, meetings, micro-drives, and more. You simply chat with it like you would with a coworker.

What Can It Actually Do?

Let's break it down. WorkBuddy isn't just another bot—it's designed to be your AI sidekick. Here's a taste of what it brings to the table:

• Smart message sorting: It automatically categorizes unread messages and emails into "To Handle," "To Pay Attention To," and "Other," then summarizes them with action items. No more drowning in notifications.
• Context-aware forwarding: Select a work message in a WeCom group and forward it to WorkBuddy. It instantly recognizes referenced documents, schedules, to-do lists, meetings, and even smart minutes.
• Direct commands: You can ask it to send messages, share products to private or group chats, or reference micro-drive files—all with a confirmation step before anything goes out.

Seamless Across Devices

WorkBuddy keeps your context in sync between the mobile app and desktop. Switch devices mid-conversation and pick up right where you left off. Scheduled tasks and push notifications mean results come back to you automatically—no need to chase them down.

In the document library, you can @mention and invite WeCom members to collaborate, turning WorkBuddy into a central hub for teamwork.

Enterprise-Grade Control

For admins, there's a full backend to manage accounts, permissions, and usage. WorkBuddy only acts within authorized scopes—viewing meeting content or reading emails requires explicit employee consent. It's AI with a respect for boundaries.

Why This Matters

Enterprise WeChat already serves over 14 million real enterprises and 750 million users. By embedding WorkBuddy directly into this ecosystem, Tencent is bridging connectivity with task execution. Companies don't need to switch platforms or migrate data. AI agents are quietly becoming part of the office furniture—and that's a big deal.

Key Points:

• WorkBuddy is now a chatbot in Enterprise WeChat contacts, handling messages, documents, and meetings.
• Requires WeCom v5.0.12+ and WorkBuddy v5.8.0+, enabled by admins.
• Features include smart sorting, context-aware forwarding, and cross-device sync.
• Enterprise controls ensure actions stay within authorized limits.
• Integration covers 14M+ enterprises, embedding AI into existing workflows.