Mike Taylor 谈 AI 写作：好文章在提示词之前就已开始

迈克·泰勒是Every公司的评估负责人，也是《生成式人工智能的提示工程》(O’Reilly)的合著者。

深入了解迈克·泰勒的写作工作流程——以及他仍亲自完成的工作

上周，评估负责人迈克·泰勒：https://every.to/@mike_2114 向我们讲述了他关于AI写作的13条信念：https://every.to/also-true-for-humans/ai-writing-beliefs——从在提示中投入更多内容而不仅仅是让模型生成所需文本，到过有价值的、值得写下的人生。他的流程从收集原始素材开始：寻找体验、探讨想法，并注意哪些话题会让人眼睛一亮。今天，他向你展示如何将这些信念转化为完成的文章，提供了一个你可以借鉴的流程，让自己的作品值得读者花时间阅读。

想更深入了解Every的作者们如何利用AI写作，请明天美国东部时间下午1点加入迈克、工作人员作家凯蒂·帕罗特：https://every.to/@katie.parrott12 和高级编辑杰克·程：https://every.to/@jackcheng 的写作直播，直播将在X和YouTube上进行。——凯特·李：https://every.to/@kate_1767

我花了很多时间试验，才找到一个令我满意的AI写作方式。这里是我最终确定的流程，从选标题到与编辑争论，再到指导Claude像我一样写作。我分享这个流程是因为它能最大化利用AI，同时不丢失我的个人风格。用这个流程，我把一篇1200字文章的写作时间从一天缩短到不到两小时，而且流量和读者的正面评论没有下降。你的流程将根据你的AI使用程度有所不同。随意借鉴你觉得有用的部分。

这一流程对我有效，自从2020年我开始用GPT-3写作以来，我在发布的每篇作品中都不断优化。AI减少了起草时间，但我仍在两端做大量工作：寻找想法、收集素材、理清表达意图，并判断初稿是否传达了想法。这就是我关于AI写作信念在实践中的体现。我仍然要带来值得说的话，并足够用心以确保表达准确。如果你在写作中遇到瓶颈，或者不确定何处使用AI，希望这能帮到你。

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Mike Taylor is the head of evals at Every and a co-author of "Prompt Engineering for Generative AI" (O’Reilly).

A look inside Mike Taylor’s writing workflow—and the work he still does himself

Last week, head of evals Mike Taylor：https://every.to/@mike_2114 told us about his 13 beliefs about writing with AI：https://every.to/also-true-for-humans/ai-writing-beliefs—from putting more into the prompt than you ask the model to produce to living a life worth writing about. His process starts with gathering that raw material: seeking out experiences, debating ideas, and noticing which topics make people’s eyes light up. Today, he shows you how he turns those beliefs into finished pieces, with a process you can adapt to make your own work worth a reader’s time.

For a closer look at how the writers at Every put AI to work, join Mike, staff writer Katie Parrott：https://every.to/@katie.parrott12 , and senior editor Jack Cheng：https://every.to/@jackcheng for our Write-along tomorrow at 1 p.m. ET, livestreamed on X and YouTube. —Kate Lee：https://every.to/@kate_1767

I t took me a lot of experimenting to find a way of writing with AI that I was happy with. Here’s the process I’ve landed on, from picking a title to arguing with my editor and coaching Claude to write like me. I’m sharing it because it gets the most out of AI, without losing my voice. With this process I’ve cut my writing time for a 1,200-word piece from a day to less than two hours, with no drop in traffic or positive reader comments. Your process will vary with your level of AI adoption. Steal whatever looks useful.

This process works for me, and I’ve refined it with every piece I’ve published since I started writing with GPT-3 in 2020. AI reduces drafting time, but I still do plenty of work on either side: finding an idea, gathering material, figuring out what I mean, and deciding whether the draft delivers it. That’s how my beliefs about AI writing show up in practice. I still have to bring something worth saying and care enough to get it right. If you get stuck in your writing or can’t decide where to use AI, I hope this helps.

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