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Workbody半个小时,被玩一节课的教案PPT课件还有课堂测试题顺便做了个课堂小游戏。想早下班的老师看完这期就行了。本系列教学从AI与各职业提效入手,每个环节都给你配上具体的提示词和Skill实操。现在开始。

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第一步装好并加载Education Lesson Planning备课技能。先去Workbody的技能市场,点击SkillHub,来到SkillHub官网,点击技能下的专家包,选择教育Tab,我们会看到教案设计。点击进去将安装提示词复制给Workbody,

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一键安装装好之后它不是一个人在战斗,而是自动把六个字技能一起拉进工作区。

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第二步新建一个工作区将教材PDF托入目录。

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我这里准备的是四年级英语PEP版上册。

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第三步复制以下提示词,我在准备Uni1MyClassroom第一课。

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根据教材PDF,用Education Lesson Benning技能出一份教学评,一致性教案,含教学目标重难点。

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六环节教学过程,版书设计分层作业,格式Word五分钟,一份完整备课包出来了。

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但别直接用做两件事

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第一上传你的贝克表模板

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让AI根据你的模板进行二次真实调整

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第二家风格多说几次你的要求

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他会记住

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如果你有以前的贝克内容

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也可以上传给AI

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让AI根据你以前风格进行模仿

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第一步新开一个绘画

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切到设计创意

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第二步选PPT设计

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把四块站位换成AI生图

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这样AI生成的PPT会带有真实的高质量插画

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第三步把我们前面做的那份贝克包拖进对话框

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然后说用PPT设计

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根据这份贝克文档做一份第一课的课件

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课堂教学风

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它会照着贝克文档里的教学目标

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直接生成一版带图片的完整PPT

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改到满意导出为PPTX

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这个环节不用等课件做完

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能和出PPT并行跑

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更省时间

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而且出题根本不用另开绘画

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就在场景一的贝克对话框里接着赶第一步

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在贝克对话框里把生成的贝克包喂给他

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第二步说这句话

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用Classroom Lesson Pack

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根据生成的贝克包出一份第一课课堂测试题

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导出味儿

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几分钟试卷出来了

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选择题有选项

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连词成具有标准答案

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阅读有判断

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连听力录音稿都给你写好了

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过一遍

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AI偶尔出超纲题

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这三个场景即开即用

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想效果翻倍

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搭自己的教学知识库

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Workbody可以连腾讯

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IMA知识库教材PDF

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课程标准历年试卷

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你的教案模板全存进去以后

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出的每一份东西

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都基于你自己的资料

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用得越久

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它越懂你

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光有课件和卷子还不够

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顶部type切到代码开发

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将贝克包发给他

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跟他说

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根据贝克包用HTML和JavaScript

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写一个单词闯关小游戏

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点单词出图

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点图选词配记时和积分单文件HTML

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打开集完几分钟

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一个能投评完的网页小游戏就出来了

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Bagboard

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Blackboard

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Classroom

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好了本期视频结束了

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大家记得点赞深受加关注

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下一期讲哪个职业你说了算

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如果今年只能学一个AI工具

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请把学习的机会留给Workbody

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Workbody是什么

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你可以把它当成Codex的国内平替版

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界面布局和操作逻辑基本一模一样

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但Workbody则更适用于中国宝宝体制

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无需猫扒架

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不吃配置

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而且还可以免费白嫖

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更重要的是

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它适用于国内各种主流办公软件

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过去需要你在几个软件直接来回切换地工作

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现在可以交给Workbody统一处理

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整理资料

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生成文档

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分析表格

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执行重复任务

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它不只是陪你聊天

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而是真的能帮你干活

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但很多人打开Workbody以后

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还是只会问几个简单的问题

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工具明明很强

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最后却被用成了普通聊天软件

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所以我花了将近三个月的时间

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打磨了这套Workbody小白实战课程

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整套课程分为入门篇

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案例篇

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进阶篇和行业篇

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共计30个知识点

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从基础操作到真实办公案例

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再到进阶工作流

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我都会带你一步一步的完成

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不会编程没关系

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没接触过AI也没关系

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只要照着课程实操

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你就能逐渐把自己的重复工作交给AI

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同时我还整理了一份与课程配套的Workbody资料包

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里面详细包含了安装案例拆解

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Skill定制和行业落地四大板块

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同时我还准备了12个常用的Skill

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以及更多能上手的实操资料

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点个一键三连

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评论区回复777

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我把整套资料发给你

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废话不多说

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我马上开始今天的课程

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大家好

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从今天开始

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我们的系列课程将会给大家讲解Workbody的使用方法

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在正式开始之前

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想要问大家一个扎心的问题

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那就是大家接触了这么久的AI

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学了一堆的AI提示词

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你的工资涨了吗

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相信不少人心中都已经有答案了

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之所以会这样

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因为提示词的本质只是建议

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建议并不值钱

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执行才值钱

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所以我们接下来要讲解的workbody

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便是一个将建议变成执行的工具

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为了方便大家学习这套课程

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我还制作了一本关于workbody的绿皮书

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会从最基础的安装

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到workbody的省钱秘籍

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你都能配合着我们这套课程学习到

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如果大家需要的话

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可以直接在评论区

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扣虑皮书

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同时点点关注

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就能获取这本学习资料

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回到正题

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相信很多人使用AI的方式

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就是打开聊天框

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提问

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然后复制结果

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其实这样的方式

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并不算是真正的使用了AI

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因为像这种传统的网页AI

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只是一个单纯的问答工具

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并没有真正能够操作

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电脑本地文件的权限

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看似是我们在使用AI

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实际上是我们在给AI打工

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像一些能够实际落地的操作

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还是需要我们用鼠标键盘去操作

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整个过程还是比较繁琐的

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所以我们设想一下

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如果说现在有一个工具

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只要我们说一句话

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它就能够自动操作电脑

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能够帮助我们自动整理文件

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开发简单的网站

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或者说发送废书消息

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而我们只需要检查最终的交付结果

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这样一来

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是不是就能极大的提升效率

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让AI真正为我们所用了呢

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没错

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我们今天要讲解的Workbody

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就是干这个事情的

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像我们当前所见的

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便是Workbody的官网

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所以到底什么是Workbody呢

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它是一个桌面AI智能体

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也就是agent

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不是单纯的聊天对话框

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大部分的AI大语言模型

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都是我们提问

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然后AI帮我们输出文字答案

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再多一些无非是功能比较全

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可以生成音乐

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生成视频

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或者生成图片

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但无论如何

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它都没有权限去操作本地电脑的文件

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而workbody只需要我们下达自然语言任务

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就像和真人讲话一样

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告诉他我们想干嘛

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或者让他去干嘛

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那么他就可以自动分派

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调研

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执行

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和交付

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它的核心价值便是可以直接操作本地电脑

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完成真实的办公任务

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而不再是给我们一些建议或者操作方法

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那么问题来了

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相信大家在了解workbody之前

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可能最先听说的是codex

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那既然已经有了功能更强大的codex

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为什么还要去学workbody呢

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我们打一个简单的比方

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如果说codex是特种兵的话

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那么workbody就是大学生

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特种兵虽然厉害

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但需要一个长官去制定详细的作战方案

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我们需要告诉他具体是哪个文件

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哪个目录

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在执行时用什么参数

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需要相对更加专业的技能和长足的经验

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而workbody就是一个听话的大学生

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他也许无法处理特别复杂的任务

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但我们简简单单的把它招过来

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要去把某个文件发给谁

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要去整理什么档案

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像这种简单的任务

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workbody都是可以处理的

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而我们自己身为一个领导者

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可能暂时还没有能力去掌管codex

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但指挥指挥大学生还是绰绰有余的

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所以大家在正式学习CodeX之前

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不妨先来学习Workbody

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Workbody的优势就是装好机用

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不需要配置环境

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不需要敲命令行

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而CodeX则需要更强的动手能力

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同时向Workbody能够适配的环境

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如飞书 丁丁 企业微信和腾讯文档

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都是深度打通的

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而CodeX则更偏向于海外生态

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对于国内的办公软件支持的很有限

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当然大家最关心的自然是使用成本方面

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向Workbody每日能够赠送积分

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同时遇上一些活动的话

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还能赠送几千积分

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一个月下来

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如果每天领取的话

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至少能有三千积分到手

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而CodeX则是订阅付费制的

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需要实打实地付出真金白银

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往往在学习阶段

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就要支付大量的学习成本

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所以建议大家

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在打开并登陆Workbody之后

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每天在

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我们下面来看一下新手

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对于学习Workbody或者CodeX这类软件

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经常遇到的一些认知误区

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首先第一个

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Workbody就是拆着GPT的桌面聊天板

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这个认识并不准确

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因为Workbody不只限于聊天

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除了可以像GPT一样

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通过对话的方式给出一些指导和建议之外

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它还能够读取本地文件

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调用工具

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自动执行任务

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所以此时我们的思维要从向AI提问

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切换为管理AI干活

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我们自己是一个真正的管理者

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Workbody是你的员工

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而电脑就是你的公司

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再来看第二个认知误区

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那就是codex更强

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所以要直接学习codex

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需要注意的是

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codex门槛会更高

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适合有编程基础的人

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而普通的职场人

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优先使用workbody把工作落地

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甚至可以说

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对于大多数工作

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如果你只学习了workbody

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也是完全够用的

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这时如果觉得不够用了

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再进一步的学习codex

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这样的学习路径

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能够尽可能减少学习成本

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而第三个认知误区

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就是功能多

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学起来很难

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事实上我们来看Workbody的操作界面

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是不是和很多AI大语言模型

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比如签问

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豆包

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或者GPT非常类似呢

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所以我们学习Workbody

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其实更多的并不是学习它的界面功能如何使用

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而是需要转变我们的提问思维

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从单纯的问问题

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转换为发出一个命令

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让Workbody帮助我们如何操作电脑

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所以无需担心功能多很难学的问题

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完全可以一边看着视频学习一边操作

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我们再来了解一下workbody究竟能干嘛呢

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首先便是文件管理

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像本地文件的批量分类

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批量重命名

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或者是多文档的信息汇总

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打个比方

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像我在录制教程时

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就会给文件命名

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01 02 03 04

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但有时可能会出现这样的问题

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00:09:51,760 --> 00:09:53,680
就是某一节课时长过短

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00:09:53,680 --> 00:09:55,840
需要把它整合到另一节课上

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00:09:55,840 --> 00:09:57,680
但文件夹的命名已经起完了

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00:09:57,680 --> 00:09:59,920
如果将这节课合并到上一节课

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00:09:59,920 --> 00:10:02,500
就会导致排序不再是1234

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可能是134

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00:10:03,760 --> 00:10:05,760
此时如果想要重新起名字

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00:10:05,760 --> 00:10:06,840
就要一个文件夹

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00:10:06,840 --> 00:10:08,200
一个文件夹的去改名

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00:10:08,200 --> 00:10:09,240
会非常的麻烦

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00:10:09,240 --> 00:10:10,140
那么这个时候

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00:10:10,140 --> 00:10:11,860
我们就可以使用workbody的功能

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00:10:11,860 --> 00:10:12,960
让它直接帮我们

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00:10:12,960 --> 00:10:14,980
自动对文件进行重新命名

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00:10:14,980 --> 00:10:16,860
此外像文档数据的处理

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比如周报

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Excel表格

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00:10:18,880 --> 00:10:20,220
还有网站的开发

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00:10:20,220 --> 00:10:22,820
包括像飞书丁丁的协同合作

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00:10:22,820 --> 00:10:25,200
或者周期性的生成工作汇报

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00:10:25,200 --> 00:10:27,140
这些全部不是纸上谈兵

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00:10:27,140 --> 00:10:28,940
我们只要给出合理的指令

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00:10:28,940 --> 00:10:30,980
workbody都可以直接帮我们执行

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讲了这么多

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00:10:31,780 --> 00:10:33,340
相信大家对今后的学习

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00:10:33,340 --> 00:10:34,380
已经跃跃欲试了

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00:10:34,380 --> 00:10:35,740
所以不妨点个关注

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跟着我来学习后续的课程

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最后来总结一下

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00:10:38,880 --> 00:10:40,740
相信通过这期视频的学习

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00:10:40,740 --> 00:10:42,080
大家已经能够区分

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00:10:42,080 --> 00:10:43,300
普通的AI聊天

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00:10:43,300 --> 00:10:45,600
与桌面AI agent的本质区别

341
00:10:45,600 --> 00:10:47,800
同时也理解了workbody的定位

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00:10:47,800 --> 00:10:49,320
它是你的AI员工

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00:10:49,320 --> 00:10:50,760
不只是聊天机器人

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00:10:50,760 --> 00:10:52,980
同时也清晰地掌握了workbody

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00:10:52,980 --> 00:10:54,240
codex的差异

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00:10:54,240 --> 00:10:56,480
以及他们的适用场景和成本

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00:10:56,480 --> 00:10:58,800
也希望大家通过本节课的学习

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00:10:58,800 --> 00:11:01,040
能够将思维从AI提问者

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00:11:01,040 --> 00:11:02,340
进化到AI管理者

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00:11:02,340 --> 00:11:04,740
如果你觉得这期视频的内容对你有帮助

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00:11:04,740 --> 00:11:06,260
也不要忘记点赞关注

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00:11:06,260 --> 00:11:07,760
我们就下期视频再见