几小时工作3分钟搞定 Grok Bot被封「下一个ChatGPT时刻」

矽谷顶尖投资人、投资机构 Atreides 创办人 Gavin Baker 近日在 a16z 对谈节目中直言，Grok Bot 可能代表「另一个 ChatGPT 时刻」。他指出，自己原本花费数小时利用 Claude Code 打造一套工具流程，Grok Bot 却只用约 3 分钟便完成效果更好的版本，显示 AI Agent 正从辅助工具加速转向能主动完成工作的执行者。

Baker 表示，无论是整理 Podcast、摘要 Substack 文章，或追踪 X 平台上的市场情绪，过去透过 Claude Code 处理每项任务，都得花上数小时设定与调整；换成 Grok Bot 后，单项任务仅需 7 至 12 秒，产出品质也更胜原先版本。

价格下降进一步推升 Grok Bot 的吸引力。这款应用过去曾因每月收费 200 美元遭批价格过高，近期月费大幅降至 20 美元，并纳入 Cursor Pro 与 Super Grok 订阅方案，明显降低使用门槛。

马斯克也在社群平台转发相关讨论。有使用者分享，透过另一款热门 Agent「Instinct」与 Stripe Link，已能在聊天介面中替姪女完成购买钢琴的整套流程。马斯克则宣称，Grok Bot 更胜一筹，不仅可以协助购物，还能主动搜寻并议价，找出最优惠的价格。

不只是换壳聊天机器人

Grok Bot 与传统聊天机器人的最大差异，在于它不是单纯回答问题，而是能登入不同软体、使用独立云端电脑，并持续执行工作的 AI Agent。

在 Grok Bot 出现前，Hermes、OpenClaw 等 Agent 工具虽然功能强大，但使用者仍须选择模型、设定上下文视窗与思考深度，并配置 API 金钥，繁复流程让多数一般使用者难以上手。Grok Bot 则采取极简设计，不必自行挑选模型或工具，只要建立新 Bot 并开始对话，系统便会自动配置适合的方案。

透过现场操作示范，Grok Bot 还能学习使用者的工作流程。使用者只要带着 Bot 完整执行一次跨步骤、跨系统的任务，它便能将流程保存为固定例程，之后依照排程或需求重新执行。

每个Bot都有独立云端电脑

Grok Bot 的另一项核心设计，是以云端电脑为优先。每个新建立的 Bot，都拥有独立的 Chrome 浏览器、档案系统与终端机，即使使用者关闭笔电，Bot 仍可在云端持续运作。

命名后的 Bot 也能在多轮对话中保留记忆、档案、浏览器工作阶段与偏好设定，使上下文持续累积，而不是每次接到任务都回到全新环境。

在权限管理方面，使用者不必直接把主要帐号及密码交给 AI，而是可透过专供 Agent 使用的电子邮件，像邀请新进员工一样，将 Bot 加入指定专案、社群或工具，并只开放必要权限。

多个Agent组成工作团队

Grok Bot 也强调多 Agent 协作。不同 Bot 预设可以互相传送讯息，使用者可建立一个类似「CEO」的主 Bot，再由它拆解任务，分派给研究、程式设计及视觉设计等专业 Bot。

这些 Bot 能在背景交换资讯、检视彼此成果并完成交付，使用者不再只是与单一对话框互动，而是指挥一个由多个 AI Agent 组成的工作团队。

Baker 认为，Claude Code 在程式码生成方面确实带来重大突破，但本质上仍属于「下指令、给回应」的 Copilot 模式。Claude Code 与 Codex 虽能强化知识与效率，仍偏向收到需求后才展开工作的反应式工具。

在他看来，足以称为「ChatGPT 级颠覆」的产品必须具备两项条件：首先是使用门槛大幅下降，将原本耗费数小时的工作缩短至十几秒；其次是效率提升后，产出品质不但没有下滑，反而更好。

Grok Bot 正跨越这道门槛，从协助使用者工作的工具，转变为能主动完成任务的自动执行者。它不仅能快速建立工具，也可借由观察日常操作，主动提出自动化建议。

AI用量可能迎来爆发

Baker 看好的商业逻辑也建立在这项转变之上。过去一问一答的互动模式，算力与 Token 消耗仍有上限；一旦 AI 开始接管完整工作流程，使用者只需按下同意执行，Agent 就能在后台持续处理任务，Token 使用量可能随之大幅成长。

他所说的「下一个 ChatGPT 时刻」，正是从使用门槛骤降、产出品质提升，进一步走向主动推荐行动；当使用者授权执行后，AI 使用量也将快速扩张。Grok Bot 因此不只是另一款效率工具，而可能代表 AI 应用模式的转变。

打造个人AI工作团队

对于如何使用 Grok Bot，部分使用者建议先建立一个名为「幕僚长」或「CEO」的主 Bot，并将其置顶，作为所有任务的单一对接窗口，再由它决定如何把工作分派给其他专业 Bot。

接着，使用者可以向主 Bot 说明自己的身分、公司业务、工作痛点、最不想处理的日常事项，以及短期与长期目标。待这些资讯输入完成后，再要求它根据既有理解，建议需要建立哪些专业 Bot，规画各自的角色、职责与运作流程，并直接完成建立。

透过 Grok Bot 的跨 Agent 调度与权限控制，主 Bot 可在短时间内产生一套具备名称、头像与系统提示词的专属 AI 团队。从单一聊天视窗走向持续运作的多 Agent 系统，正是 Baker 将 Grok Bot 视为下一个「ChatGPT 时刻」的主要原因。

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"tagId": "", "attr": "", "articleView": null, "source": null, "author": "网络", "description": "矽谷顶尖投资人、投资机构 Atreides 创办人 Gavin Baker 近日在 a16z 对谈节目中直言，Grok Bot 可能代表「另一个 ChatGPT 时刻」。他指出，自己原本花费数小时利用 Claude Code 打造一套工具流程，Grok Bot 却只用约 3 分钟便完成效果更好的版本，显示 AI Agent 正从辅助工具加速转向能主动完成工作的执行者。 Baker 表示，无论是整理 Podcast、摘要 Substack 文章，或追踪 X 平台上的市场情绪，过去透过 Claude", "img": "https://cimg.cnyes.cool/prod/news/6593989/l/addbc430d78d6372cba986e8f10a372e.jpg", "content": "矽谷顶尖投资人、投资机构 Atreides 创办人 Gavin Baker 近日在 a16z 对谈节目中直言，Grok Bot 可能代表「另一个 ChatGPT 时刻」。他指出，自己原本花费数小时利用 Claude Code 打造一套工具流程，Grok Bot 却只用约 3 分钟便完成效果更好的版本，显示 AI Agent 正从辅助工具加速转向能主动完成工作的执行者。\n<img src=\"https://cimg.cnyes.cool/prod/news/6593989/l/addbc430d78d6372cba986e8f10a372e.jpg\" alt=\"几小时工作3分钟搞定 Grok Bot被封「下一个ChatGPT时刻」\" style=\"width:50%;height:auto;border-radius:6px;margin:15px auto;display:block;\">\n\n\nBaker 表示，无论是整理 Podcast、摘要 Substack 文章，或追踪 X 平台上的市场情绪，过去透过 Claude Code 处理每项任务，都得花上数小时设定与调整；换成 Grok Bot 后，单项任务仅需 7 至 12 秒，产出品质也更胜原先版本。\n\n价格下降进一步推升 Grok Bot 的吸引力。这款应用过去曾因每月收费 200 美元遭批价格过高，近期月费大幅降至 20 美元，并纳入 Cursor Pro 与 Super Grok 订阅方案，明显降低使用门槛。\n\n马斯克也在社群平台转发相关讨论。有使用者分享，透过另一款热门 Agent「Instinct」与 Stripe Link，已能在聊天介面中替姪女完成购买钢琴的整套流程。马斯克则宣称，Grok Bot 更胜一筹，不仅可以协助购物，还能主动搜寻并议价，找出最优惠的价格。\n\n不只是换壳聊天机器人\n\nGrok Bot 与传统聊天机器人的最大差异，在于它不是单纯回答问题，而是能登入不同软体、使用独立云端电脑，并持续执行工作的 AI Agent。\n\n在 Grok Bot 出现前，Hermes、OpenClaw 等 Agent 工具虽然功能强大，但使用者仍须选择模型、设定上下文视窗与思考深度，并配置 API 金钥，繁复流程让多数一般使用者难以上手。Grok Bot 则采取极简设计，不必自行挑选模型或工具，只要建立新 Bot 并开始对话，系统便会自动配置适合的方案。\n\n透过现场操作示范，Grok Bot 还能学习使用者的工作流程。使用者只要带着 Bot 完整执行一次跨步骤、跨系统的任务，它便能将流程保存为固定例程，之后依照排程或需求重新执行。\n\n每个Bot都有独立云端电脑\n\nGrok Bot 的另一项核心设计，是以云端电脑为优先。每个新建立的 Bot，都拥有独立的 Chrome 浏览器、档案系统与终端机，即使使用者关闭笔电，Bot 仍可在云端持续运作。\n\n命名后的 Bot 也能在多轮对话中保留记忆、档案、浏览器工作阶段与偏好设定，使上下文持续累积，而不是每次接到任务都回到全新环境。\n\n在权限管理方面，使用者不必直接把主要帐号及密码交给 AI，而是可透过专供 Agent 使用的电子邮件，像邀请新进员工一样，将 Bot 加入指定专案、社群或工具，并只开放必要权限。\n\n多个Agent组成工作团队\n\nGrok Bot 也强调多 Agent 协作。不同 Bot 预设可以互相传送讯息，使用者可建立一个类似「CEO」的主 Bot，再由它拆解任务，分派给研究、程式设计及视觉设计等专业 Bot。\n\n这些 Bot 能在背景交换资讯、检视彼此成果并完成交付，使用者不再只是与单一对话框互动，而是指挥一个由多个 AI Agent 组成的工作团队。\n\nBaker 认为，Claude Code 在程式码生成方面确实带来重大突破，但本质上仍属于「下指令、给回应」的 Copilot 模式。Claude Code 与 Codex 虽能强化知识与效率，仍偏向收到需求后才展开工作的反应式工具。\n\n在他看来，足以称为「ChatGPT 级颠覆」的产品必须具备两项条件：首先是使用门槛大幅下降，将原本耗费数小时的工作缩短至十几秒；其次是效率提升后，产出品质不但没有下滑，反而更好。\n\nGrok Bot 正跨越这道门槛，从协助使用者工作的工具，转变为能主动完成任务的自动执行者。它不仅能快速建立工具，也可借由观察日常操作，主动提出自动化建议。\n\nAI用量可能迎来爆发\n\nBaker 看好的商业逻辑也建立在这项转变之上。过去一问一答的互动模式，算力与 Token 消耗仍有上限；一旦 AI 开始接管完整工作流程，使用者只需按下同意执行，Agent 就能在后台持续处理任务，Token 使用量可能随之大幅成长。\n\n他所说的「下一个 ChatGPT 时刻」，正是从使用门槛骤降、产出品质提升，进一步走向主动推荐行动；当使用者授权执行后，AI 使用量也将快速扩张。Grok Bot 因此不只是另一款效率工具，而可能代表 AI 应用模式的转变。\n\n打造个人AI工作团队\n\n对于如何使用 Grok Bot，部分使用者建议先建立一个名为「幕僚长」或「CEO」的主 Bot，并将其置顶，作为所有任务的单一对接窗口，再由它决定如何把工作分派给其他专业 Bot。\n\n接着，使用者可以向主 Bot 说明自己的身分、公司业务、工作痛点、最不想处理的日常事项，以及短期与长期目标。待这些资讯输入完成后，再要求它根据既有理解，建议需要建立哪些专业 Bot，规画各自的角色、职责与运作流程，并直接完成建立。\n\n透过 Grok Bot 的跨 Agent 调度与权限控制，主 Bot 可在短时间内产生一套具备名称、头像与系统提示词的专属 AI 团队。从单一聊天视窗走向持续运作的多 Agent 系统，正是 Baker 将 Grok Bot 视为下一个「ChatGPT 时刻」的主要原因。<div 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