如何写出更好的 ChatGPT 提示词（含示例）

为什么大多数 ChatGPT 提示词失败

Two coworkers asked ChatGPT the same question about refunds. One wrote “What is our refund policy?” and got a confident essay about generic consumer law. The other pasted role, audience, and “answer only from the attached policy; say if missing.” Same model, different prompts — only one answer was safe to send to a customer.

更好的 ChatGPT 提示词要具体：角色、受众、约束与输出格式。模糊提示得到模糊答案 — 然后人们怪模型。

Why 更好的 ChatGPT 提示词 Matters

ChatGPT 教程搜索量大。新鲜示例与模板获点击并支撑提示词工程 hub。

The Story Behind 更好的 ChatGPT 提示词

Specificity beats clever wording

Better ChatGPT prompts name the role, audience, constraints, and output format before the task. Vague prompts produce vague answers — then users blame “the AI” instead of the specification.

Constraints reduce hallucinations and scope creep: word limits, banned topics, required sections, citation rules. Treat constraints as guardrails, not suggestions.

When data is missing, instruct the model to ask clarifying questions or explicitly state assumptions. That single habit prevents silent fabrication in customer-facing workflows.

Examples lock style and structure

Show one good output for stylistic tasks: tone, heading hierarchy, bullet density. ChatGPT mirrors patterns in the prompt more reliably than adjectives like “professional.”

For coding help, paste the function and ask for severity-ranked findings with minimal fixes — not a rewrite of the entire module. For study, ask for one analogy, one code sample, then quiz questions with hidden answers.

Keep a prompt library with version notes. Iterate in public with yourself: v1 failed on length, v2 failed on tone, v3 added an example — winner saved.

Templates you can copy today

Use the study and coding templates in the code block below as starting points — replace braces, keep the skeleton. Templates encode lessons from hundreds of failures so you do not repeat them.

For factual tasks, request sources or say “if unsure, say you do not know.” For creative tasks, specify what must remain factual versus what can be invented.

Run, critique, tighten. One iteration cycle per day on a real task beats reading fifty tip threads.

• State the goal in one sentence
• Add audience + constraints + format
• Include one exemplar output
• Run ten variations; save the winner

From ChatGPT to every other model

These patterns transfer to Claude, Gemini, and local LLMs — only API details change. Custom GPTs help when you repeat identical system instructions; reusable prompts help when you iterate frequently.

Practice on Sturdee’s Prompt Engineering skill page. Upgrade to Pro for AI Tutor critique that scores constraint-following and suggests tighter formats.

Better ChatGPT prompts are a career skill disguised as a party trick. The person who specifies success clearly becomes the person teams trust with customer emails, code reviews, and research packs.

强提示词的要素

• 具体性胜过花哨措辞
• 约束减少幻觉
• 示例锁定风格与结构
• 缺数据时要求说明假设
• 事实类任务要求引用或来源

像专业人士一样迭代提示词

1. 用一句话说明目标
2. 加受众与约束
3. 展示一个好输出示例
4. 运行、批评、收紧提示词
5. 把优胜版存入提示库

可复制提示词示例

Study:
"Explain closures in JavaScript to a beginner. Use one analogy, one code sample, then 3 quiz questions with answers."

Coding:
"You are a senior reviewer. Find bugs in this function. List severity, why it fails, and a minimal fix. Code:
{paste}"

在 Sturdee 练习提示词

在 Prompt Engineering 技能页练习。升级 Pro 可让 AI Tutor 点评提示词。

Takeaways — What to Do Next

Write better ChatGPT prompts by specifying success, showing examples, and iterating with a saved library. The model is interchangeable; your specification discipline is not.

ChatGPT 提示词 — 常见问题