Prompt EngineerAI 提示词工程助手

Build structured prompts from role, task, context and constraints, estimate token cost and audit quality.

按角色、任务、背景、约束、输出格式拼出结构化提示词，估算 token 数量与成本，并给出质量检查清单。

What is Prompt Engineer?AI 提示词工程助手 是什么？

A prompt-engineering workbench. Instead of hoping for a good prompt, you fill in five explicit slots — role, task, context, constraints and output format — and the tool assembles them into a structured prompt with clear headings. It then estimates the token count (Chinese characters and English words are counted differently) and audits the prompt against a quality checklist, so you can see at a glance whether the piece that most often makes an answer vague — the missing output format — is actually there.

一个提示词工程工作台。它不靠"祈祷式"提问，而是让你填五个明确的槽位——角色、任务、背景、约束、输出格式——再拼装成带清晰小标题的结构化提示词；随后估算 token 数（中文按字、英文按词分别计算），并按质量清单逐项体检，让你一眼看出最常导致回答啰嗦的那块——输出格式——到底有没有写。

How to use prompt engineer如何使用 AI 提示词工程助手

1. Fill in the role, task, context, constraints and output format fields.
2. Optionally add a worked example — it usually improves output the most.
3. Press Build prompt to get the assembled text, token estimate and checklist.
4. Copy the result and paste it into your model of choice.

1. 依次填写角色、任务、背景、约束、输出格式。
2. 建议补一个示例——它对输出质量的提升最明显。
3. 点"生成提示词"，得到拼装结果、token 估算与检查清单。
4. 复制到你使用的模型里。

Common uses常见用途

• Turn a vague one-liner into a repeatable, structured prompt
• Estimate prompt cost before running it through a paid API
• Spot the missing section that causes a model to ramble
• Keep a consistent prompt template across a team

• 把一句含糊的提问变成可复用的结构化提示词
• 在调用付费 API 前估算提示词成本
• 找出让模型答非所问的缺失段落
• 在团队内统一提示词模板

FAQ常见问题