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即刻可运行的 AI 工作流

选择一个模板,填写几个字段,然后在 ToRun 上运行。每个模板都会在开始前显示预计费用。

233 个模板 · 224 个带示例的模板 清除筛选
示例输出文本
Subject: Fewer hydration-related slowdowns Hi {{FirstName}}, With drivers and warehouse teams working long shifts, missed hydration can quickly affect focus and productivity. Our smart bottles send simple hydration reminders, helping frontline employees build better habits without adding work for supervisors. A regional logistics company used them to improve hydration compliance across three facilities. Worth a 10-minute look next week? Day 3 Subject: A practical safety perk Hi {{FirstName}},…
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陌生开发邮件

输入: a smart water bottle · head of operations at mid-size logistics companies

≈ 1,000
使用这个
示例输出文本
Acme Inc. Cut Customer Onboarding Time from 10 Days to 4 Customer Context As Acme Inc.’s customer base expanded, its operations team needed to handle more onboarding projects while maintaining accuracy and consistency. The Challenge Acme’s onboarding process depended on manual handoffs, repeated data entry, and workflows spread across multiple systems. On average, onboarding took 10 days per customer.…
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案例研究编写

输入: Acme Inc. · customer reduced onboarding time 60%, from 10 days to 4, using our automation

≈ 2,000
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示例输出文本
根据描述生成一份生产级JSON Schema:类型、约束、示例、校验说明。

JSON Schema设计

输入: an e-commerce order with items, shipping address, payment status and timestamps

≈ 1,000
使用这个
示例输出文本
WebP Batch Batch-convert images to WebP from the command line with fast, consistent quality presets. <!-- Suggested badges: npm version, build status, test coverage, license, platform support --> Features Convert entire directories in one command Support for PNG, JPEG, TIFF, and other common image formats Built-in low, medium, high, and lossless quality presets Recursive directory processing Preserve source directory structure Skip unchanged or existing files Control output location, dimensions, and metadata Preview operations with dry-run mode…
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README编写

输入: a CLI tool that batch-converts images to WebP with quality presets

≈ 1,000
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示例输出文本
Alex, Six years ago, I walked into a coffee shop expecting nothing more than a cup of coffee. I walked out having met the person who would change my life. I still remember sitting across from you and watching your whole face light up when you laughed. I wanted to keep hearing that laugh. Somehow, all these years later, it is still my favorite sound. We have loved each other across miles and time zones, through missed calls and too many goodbyes. Long distance taught me that home is not a place. It is the feeling of being known and loved by you.…
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结婚誓词

输入: Alex · met at a coffee shop 6 years ago, love their laugh, survived long distance

≈ 2,000
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示例输出文本
Dear [Name], Thank you for reviewing the proposal and sharing your concerns regarding the timeline. We understand the importance of meeting the agreed objectives promptly. However, based on the scope of work and the resources required to deliver the expected quality, we believe the current schedule presents a significant risk to successful completion. To address these concerns while maintaining the proposed deliverables and quality standards, we recommend extending the timeline by two weeks. This adjustment would allow us to complete the work thoroughly, incorporate feedback, and reduce the…
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邮件回复助手

输入: Hi, we reviewed your proposal and have some concerns about the timeline... · politely push back and propose a 2-week extension

≈ 1,000
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示例输出文本
Winner: canUserAccessDocument Reading-aloud test: “Can user access document?” Clear and natural. Implies: Returns a boolean after evaluating all relevant authorization factors. Mis-implies: May sound broader than role, ownership, and sharing settings if other access rules exist. hasDocumentAccess Reading-aloud test: “User has document access.” Concise and fluent at call sites. Implies: Checks whether the current or supplied user has access.…
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命名顾问

输入: a function that checks if a user can access a document based on role, ownership and sharing settings

≈ 1,000
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示例输出文本
Habit: Read for 30 Minutes Every Evening Anchor Trigger After I finish dinner and put away my dishes, I will sit in my reading spot and open my book. 2-Minute Starter Read one page or for two minutes. Once started, continue if able. On difficult evenings, completing the two-minute version still counts as keeping the habit alive. Friction Removals Choose the next book before finishing the current one. Keep a bookmark in place—no searching for where to resume. Use a physical book, e-reader, or audiobook depending on convenience.…
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习惯养成

输入: reading 30 minutes every evening

≈ 1,000
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创意 会说话的照片 一张人脸照片说出你的话,可以输入文字或使用你自己的录音,口型同步。 输入人脸照片 · 要说什么? · 朗读声音 +3 输出文本 ≈ 70,000 Runs 运行 研究 多源研究报告 分解问题,并行从网络、学术和内部来源检索,交叉验证后编译成带引用的报告。 输入研究问题 · 深度 · 来源 +1 输出文本 ≈ 19,224 Runs 运行 开发 软件模块构建器 分解规格说明,生成代码和测试,运行静态分析和沙箱,循环进行同行评审直至通过。 输入模块规格说明 · 编程语言 · 包含测试 +1 输出文本 ≈ 250,000 Runs 运行 营销 企业名录生成器 以 Excel 文件获取企业名录:说明您要找的对象,然后列出行业和地点。每个行业都会在每个地点搜索,重复项会被合并,每一行都链接到其来源页面。运行前即可看到费用。 输入您要找什么样的企业? · 行业 · 地点 +1 输出文本 ≈ 50,000 Runs 运行 营销 SEO博客文章 一篇搜索优化的博客文章并附质检:结构严谨、关键词自然嵌入、含meta描述。 输入主题 · 关键词 · 长度 +3 输出文本 ≈ 3,000 Runs 运行 营销 社交帖子包 针对同一话题生成各平台定制帖子(推文、LinkedIn、Instagram)。 输入话题 · 平台 · 频道 输出文本 ≈ 2,000 Runs 运行 实用工具 翻译片段 将一段文字快速翻译成另一种语言。 输入待翻译文本 · 目标语言 输出文本 ≈ 1,000 Runs 运行 营销 每周状态摘要 撰写 Markdown 状态报告并以永久链接保存至您的库中。 输入周标签 · 亮点 输出文本 ≈ 1,000 Runs 运行 创意 D&D冒险引子 一个开局即用的冒险种子:钩子、三个场景、NPC、复杂情节与宝藏。 输入派对+场景 · 输出语言 · 频道 输出文本 ≈ 1,000 Runs 运行
视频指南

观看使用方法

How AI workflows work: one form in, a finished video out

A workflow is a ready-made recipe of AI steps. You pick a template, fill in a short form, and every step runs on its own until a finished video comes out. Here we follow one bedtime story video from the form to the result.

此视频为英文。

在其专属页面观看

章节
  1. 0:00 What a workflow is
  2. 0:17 Pick a template
  3. 0:35 Fill in the form, see the cost
  4. 0:53 Preview cheaply, then run
  5. 1:14 Your result and run history

What happens when you press Run? The anatomy of an AI workflow

Let's open one workflow and look inside. A workflow is a graph: each box is a step, the arrows set the order, and steps that don't depend on each other run side by side. Your answers flow into the steps, some steps check their own work and run again, some wait for your approval, and every AI call is recorded with its own cost.

此视频为英文。

在其专属页面观看

章节
  1. 0:00 Steps, arrows and one job per step
  2. 0:26 How your answers flow
  3. 0:39 Watching it run: checks and retries
  4. 0:55 Steps that wait for your approval
  5. 1:06 Every AI call, recorded
  6. 1:18 Done, and shareable
无代码工作流

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