我是行政专员，零基础入门AI，如果帮忙自己提供工作效率和质量

1.19.AI is already delivering major advances and efficiencies in many areas.AI quietly automates aspects of our everyday activities,from systems that monitor traffic to make our commutes smoother,17 to those that detect fraud in our bank accounts.18 AI has revolutionised large-scale safety-critical practices in industry,like controlling the process of nuclear fusion.19 And it has also been used to accelerate scientific advancements,such as the discovery of new medicine20 or the technologies we need to tackle climate change.212.20.But this is just the beginning.AI can be used in a huge variety of settings and has the extraordinary potential to transform our society and economy.22 It could have as much impact as electricity or the internet,and has been identified as one of five critical technologies in the UK Science and Technology Framework.23 As AI becomes more powerful,and as innovators explore new ways to use it,we will see more applications of AI emerge.As a result,AI has a huge potential to drive growth24 and create jobs.25 It will support people to carry out their existing jobs,by helping to improve workforce efficiency and workplace safety.26 To remain world leaders in AI,attract global talent and create high-skilled jobs in the UK,we must create a regulatory environment where such innovation can thrive.3.21.Technological advances like large language models(LLMs)are an indication of the transformative developments yet to come.27 LLMs provide substantial opportunities to transform the economy and society.For example,LLMs can automate the process of writing code and17 Transport apps like Google Maps,and CityMapper,use AI.18 Artificial Intelligence in Banking Industry:A Review on Fraud Detection,Credit Management,and Document Processing,ResearchBerg Review of Science and Technology,2018.19 Accelerating fusion science through learned plasma control,Deepmind,2022;Magnetic control of tokamak plasmas through deep reinforcement learning,Degrave et al.,2022.20

AI工具是个好东西，但是现在，大多数人还停留在零碎地使用AI工具的阶段，并没有系统地将AI工具应用到工作场景中。这会导致一个问题：虽然在某些具体任务上提高了效率，但从整体上来说并没有提高多少，甚至比不用AI时效率更低的。举个例子，小明听说AI能帮忙写文章，就开始折腾。周一用ChatGPT写了篇科技文，觉得不够专业；周二换Claude写财经文，又嫌太死板；周三改用kimi写情感文，结果太浮夸。用AI写文章的时候，又不停地折腾测试不同的提示词。折腾了一周，他发现自己只完成了3篇文章，还都不满意，反而以前一周能写5-6篇，质量还过得去。小明这下可犯了难：用AI反而效率更低了？其实问题不在AI，在于没有形成一套完整的、适合自己的AI工作方法论和流程。在挑选和切换工具的时候，就浪费了不少时间。面对这个局面，要怎么破局呢？有没有一套比较系统的方法，能从整体上提升工作效率和质量呢？我给大家的答案是：AI工作流