不是AI听不懂人话，是你派活时没给它立规矩。
我是小虎，做AI企业陪跑这两年，加上之前十多年的代码开发底子，我发现很多老板和职场人都有个通病——用豆包或Claude时，特别喜欢事后算账。东西写砸了，就甩一句「不对，重写」，或者「你看看错哪了」。结果来回拉扯十几轮，原本十分钟搞定的活，硬生生拖成两小时。
这篇文章把这套问题的根因和解决方案一次讲清，并给出一份可以直接抄的派活模板。
前阵子跟技术圈同行复盘，我彻底反应过来了。程序员写代码，最讲究「测试用例」和「红灯严禁交工」。我干脆把这套逻辑，翻译成大白话的「前置验收清单」。每次给豆包或Claude派活，我直接塞过去。不用黑盒猜谜，不用反复返工，基本一次就能拿到合格成品。
今天我手把手带你，把这张单子做出来。
一、问题背景：为什么你越追问，它改得越乱
这真不是文科生专属的坑。AtomGit社区10月24日发过一篇字节跳动Trae的调研，里面提到，有超过80%的开发者遇到Bug时，照样停留在截图问怎么改、手动复制粘贴报错。一旦任务变复杂，这种挤牙膏式的追问，直接导致核心内容被删，上下文耗尽失忆，甚至陷入死循环。
你想想看，连天天写代码的程序员追着问「错哪了」都会翻车，普通上班族靠一句「再改得大气一点」，怎么可能拿到好结果？
更关键的是，底层模型早就变了。Data-DI在10月5日整理过一份技巧，像GPT-5.6和Gemini 3.1 Pro这些主流服务，已经默认在内部跑隐藏思考链了。针对这类推理模型，OpenAI官方指南明确建议，直接跳过「一步步拆解」这种过程指令，换成直接讲清目标、必要背景、限制条件、成功标准与输出格式。
你还在手把手教它怎么迈左脚，它反而被你的碎碎念捆住了手脚。
二、方案原理：验收标准不能是形容词，得是能打钩的硬指标
在大模型工程里，有个词叫大模型评估（LLM evaluation）。Order Group在10月12日的科普文档里写得很清楚，它就是在固定输入集上，依据商定的验收标准，对模型输出做系统性测试，决定能不能达标上线。
听着像黑话，但翻译成人话就一句，验收标准不能是形容词，必须是能打钩的硬指标。
OpenAI在2026年指南里给过几个对比。你说「写得吸引人一点」「专业一点」，模型根本不知道怎么算达标。你想拿到想要的结果，得换成这种具体的条件。
- 给出三个方案，每个方案后面附一句预算量级
- 全文不出现英文缩写和专业术语
- 每段控制在150字以内，全文不用惊叹号
- 核心结论直接放开头第一句
岗位不同，往验收单里塞的料也不一样。
做营销和运营，想让豆包一次写出能发的方案，直接把品牌禁用词、受众、两三个成功案例、预算时限塞给它。做行政和财务，想让Claude整理规章，直接让AI按角色、页面、字段列成表格，每条后面附上违规处理办法。做门店和传统业务，想写跟进话术，直接限死字数、写明三个优惠动作、严禁过度承诺。
不是大模型能力不行，是你给的验收标准太虚了。
三、实操步骤：三步在豆包和Claude里跑通一次过
原理讲透了，咱们直接上手实操。按下面这三步走，五分钟就能搭好你自己的派活模板。
第一步，建个纯文本备忘录，把常规要求写成固定的「前置验收块」。
不少人每次开新对话都重敲一遍，敲烦了就开始偷懒省字，返工就是这么来的。GitHub上的ai-guide开源项目算过一笔账，写简洁清晰的提示词减少反复对话，同时保持规则文件稳定来复用Token缓存，读取价格能降到普通输入的1/10。如果你们公司接了API按量付费，固定这套规则，真能省下大笔真金白银。
第二步，打开对话框，先别急着贴一堆参考范文。
这里有个很反常识的细节。OpenAI在2026年指南里提醒，对现在的推理模型，优先使用不含范例的提示词。只有格式特别复杂时，才补一两个高度一致的范例，否则反而会限制模型，甚至引发指令冲突。
第三步，复制下面这段模板，填好括号里的内容，直接发出去。
【任务目标】
帮我写一份（填写具体交付物，如门店周年庆老客召回短信）。
【现状与背景】
目标受众是（填写人群特征），核心预算与时间限制为（填写具体数字），拍板人最看重（填写核心诉求）。
【前置验收清单（交稿前请逐条自检，有一条不符请重做后再输出）】
1. 结构要求，结论放前面，给出三个不同力度的方案，每个方案附一句预算量级。
2. 字数与排版，每条正文控制在150字内，不用惊叹号，不出现行业黑话。
3. 边界红线，严禁编造未提供的折扣数字，信息不足处请直接标出【待补充】。
点击发送后，你会看到推理模型在思考阶段，自己一条条核对上面的数字和禁令。吐出来的初稿，直接就能拿去改细节。
四、局限与红线：两类坑它填不上，数据安全是底线
不过丑话说在前面，这招也有边界。我自己的感受是，有两类坑它填不上。
第一，如果你脑子里根本没想清楚卖给谁、预算多少，填出来的单子全是空的，神仙模型也救不了。第二，验收清单如果超过十几条，而且互相打架，模型照样会顾此失彼。这时候，我更建议你人工把任务拆成两截去派。
提示：数据安全红线提醒，在给免费版豆包、Claude或外部API补充业务背景与过往案例时，严禁上传公司核心源代码、未公开的财务底表、客户真实姓名与手机号以及商业机密合同。涉及敏感数据时，务必先在本地做脱敏替换（用字母A、B代替真实公司名，用虚拟量级代替真实底价），守住企业数据底线。
五、总结
事后追问十轮全是内耗，事前立好规矩才能一次交差。
谁最该立刻换掉手里的提问方式？每天被方案、周报、客户话术缠身的老板和职场人，最该今天就用起来。至于拿AI闲聊、写藏头诗发朋友圈的人，真没必要折腾。
想省时间？别等下周，今天就动起来。先翻翻你昨天拉扯超过五轮的记录，看看是不是全在用形容词催它。再挑一件最常干的重复活，写一张不超过五条的验收单存进备忘录。今天下班前派活，把这张单子附在后面发出去，看看省了多少修改时间。
把AI当成刚入职的聪明实习生。你不给验收标准，它就敢给你交白卷。
你平时给豆包或Claude派活，返工最多的是哪类任务？欢迎在评论区聊聊你踩过的坑，咱们一起拆解怎么给它立规矩。
六、参考资料
- ai-guide / Vibe Coding 零基础教程 / 70 AI 编程概念大全 / 00 Vibe Coding 概念大全.md · GitHub
- 别再当代码打字员！玩转字节 Trae AI 编程超神指南，从「无脑生成」到「总包监理」 · AtomGit AI 社区
- AI 提示詞技巧 2026，越下指令 AI 越笨的四個解法 · Data-DI 部落格
- What is LLM evaluation? Evals, criteria and regression tests · Order Group
- AI生成后台管理系统原型，提示词、页面与评审清单 · 墨刀
备注：文章实操部分摘自AI破局俱乐部的帖子，后台私信“破局”，问小虎要免费的七天体验卡，这七天都可以免费学习破局成立三年来的所有精华帖，光这份福利就价值百万了。
本文由 AI图鉴自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
It's not that AI doesn't understand people. It's that you didn't make rules for him when you sent him alive.
I'm Tiger. I've been running with the AI company for two years, and I've been working on code for over a decade. - When using Doubao or Claude, especially after-action. If it's broken, just say "no, rewrite" or "see what's wrong." As a result, more than a dozen rounds of work were pulled back and forth, which was done in 10 minutes.
This article explains the root causes of the problem and the solution and gives a working template that can be copied directly.
A few days ago, I replayed with the tech community. The programmers write codes, the most important of which are "test examples" and "red lights are strictly prohibited". I'll just translate this logic into a big white "pre-acceptance check list." Every time I give a job to Doubao or Claude, I stuff it. No black box charades, no back-to-work re-entry, and it's almost once available.
I took you today to make this list.
I. THE CONTEXT OF THE PROBLEM: WHY IS THE MORE YOU ASKED?
This isn't really a pit for students. On 24 October, the AtomGit community published a study on byte beat Trae, in which it was mentioned that more than 80 per cent of developers encountered Bug and stayed on the screenshot asking how to change it and manually copy the stickers. Once the task becomes more complex, this toothpaste type of inquiry leads directly to the removal of the core content, the loss of memory of context and even the cycle of death.
Think about it, the programmer who writes the code all the time, asks, "What's wrong?"
More importantly, the bottom model has changed long ago. Data-DI has compiled a technique on October 5, such as GPT-5.6 and Gemini 3.1 Pro, which have implicitly managed to hide the chain of thought inside. In response to this type of reasoning model, the official Open AI guidelines clearly recommend that the process directive, "Step-by-step dismantling", be replaced by a direct statement of objectives, necessary background, limitations, success criteria and output formats.
You taught him how to lift his left foot at step by step, and instead he was tied to his hands and feet by your heart.
II. PURPOSE: acceptance criteria cannot be an adjective, but a hard indicator to hook up.
In the LLM project, there is a term called LLM Assessment (LLLM evaluation). Order Group wrote clearly in the science file dated 12 October that it was on a fixed input set, based on an agreed acceptance criteria, to systematically test the model output to determine whether it could reach the mark.
Sounds like a black word, but translated into human words, acceptance criteria cannot be an adjective, but must be a hard indicator to hook.
Open AI compared several of the 2026 guidelines. You say, "Be a bit attractive," "Professional," and the model doesn't know how to do it. You want to get the results you want, you have to get those specific conditions.
- Give three options, each with a single budget level
- The full text does not appear in English abbreviations and professional terms
- Each section is within 150 words.
- The core conclusion opens the first sentence.
It's different. It's not the same thing with acceptance check.
Marketing and operation is intended to allow Doubao to write a viable program at a time, which will put a ban on branding, audiences, two or three success stories, and budget timelines into it. Administratively and financially, Claude was asked to organize the regulations, and AI was placed directly in a form by role, page, field, each with a list of irregularities. In the business of shopkeepers and traditional businesses, they want to write follow-up messages, limit the number of words directly, write three preferential actions, and ban excessive commitments.
It's not LLM's ability, it's acceptance criteria's.
III. Step of exercise: 3 steps running through Doubao and Claude once
That's how it works. Let's get straight to it. Three steps below, and you'll have five minutes to get your own pie.
As a first step, a plain text memorandum will be created to write the general requirements into a fixed "prefixed acceptance check block".
A lot of people re-knocked each time they opened a new conversation, and started to be lazy, and that's how they got back to work. The ai-guide open-source project on GitHub has calculated an account with a concise and clear prompt to reduce the number of repeated conversations, while maintaining the stability of the rule files to reuse Tokencache to read the price down to one tenth of the normal input. If your company takes the API at paid, fixes the rules and saves a lot of real money and silver.
Step two, open the dialogue box, and don't rush to put up a bunch of references.
Here's a very unusual detail. In its 2026 Guide, Open AI cautioned that, for the current reasoning model, priority should be given to the use of prompt without examples. Only when the format is particularly complex can one or two highly consistent examples be added, which would otherwise limit models and even trigger command conflicts.
Step 3, copy the template below, fill out the bracketed contents and send them directly.
Mission Target
Write a copy for me (filling specific delivery items, such as a text call from an old customer for the anniversary).
Status and background
The target audience was (filling the crowd characteristics), the core budget and time limits were (filling the specific numbers) and the tabletholder was the most important (filling the core claims).
[Preliminary acceptance check list (please check yourself before submitting, one that does not match, redo and output)]
1. The structure requires that the conclusions be put to the fore, with three different-strength programmes, each with a single budget scale.
2. Word numbers and layouts, each text is contained in 150 words, without exclamation marks and without industry blackwords.
3. The red line of the border, which does not allow for the creation of discounts not provided, is not available.
When you click, you see the reasoning model at the thinking stage, checking the numbers and prohibitions. It's a first draft, you can change the details.
Limitations and Red Lines: Two types of pits cannot be filled and data security is the bottom line
But there's a border, too. I feel like there are two types of pits that it can't fill.
First, if you have no idea who you're selling, how much you're paying, you fill out blanks, you can't save the fairy models. Secondly, if the acceptance check list exceeds a dozen and fights against each other, the model would be different. At this point, I would advise you to break the mission down manually.
Reminders: Data Security Red Line reminds that the uploading of the company ' s core source code, unpublished financial base tables, customer ' s real name and cell number, and commercial confidential contracts is strictly prohibited when providing free copies of Doubao, Claude or external API supplementing business background and past cases. In the case of sensitive data, it is important that local de-sensitization (replace the real company name with letters A and B and the real floor price with a virtual scale) be secured.
Summary
Ten rounds of follow-up are internal, and rules are put in place to make a difference.
Who should change the way they ask questions? It is most appropriate to use it today for employers and practitioners who are entangled daily by programs, weekly newspapers, client talk. There's really no need to mess around with people who talk about AI and write their poems.
You want to save time? Don't wait till next week. Let's go over your five-round record yesterday and see if it's all in adjectives. One of the most frequent duplicates is selected, and a single acceptance check, not exceeding five, is deposited in a memorandum. We'll send this list to the back before work today to see how much time has been saved.
Think of AI as a new smart intern. If you don't give acceptance criteria, it'll give you a white paper.
What kind of job do you normally send to Doubao or Claude? You're welcome to talk about the pits you stepped on in the comment section, and we'll break down the rules.
References
- Ai-guide / Vibe Coding Zero Basic Curriculum / 70 AI Programming Concepts / 00 Vibe Coding Concepts.md GitHub
- Don't be a code typist! Play byte Trae AI programming superb guide, from "brainless generation" to "director" AtomGit AI community.
2026, more commands, four solutions to AI's stupidity.
- What is LLM evaluation? Evals, criteria and regression tests · Order Group
- AI generation backstage management system prototype, prompt, page and review list
Comment: Part of the work is taken from the posts of the Al-Oblast Club, the back-office private letter “Break the Bureau” and asks Tiger for a free seven-day experience card, which is worth a million dollars.
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