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即刻可執行的 AI 工作流程

選擇一個範本,填寫幾個欄位,然後在 ToRun 上執行。每個範本都會在開始前顯示預計費用。

233 個範本 · 224 個附範例的範本 清除篩選
範例輸出文字
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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陌生開發信

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

≈ 1,000
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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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案例研究撰寫

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

≈ 2,000
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依描述設計可上線的 JSON Schema:型別、限制、範例與驗證說明。

JSON Schema 設計

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

≈ 1,000
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範例輸出文字
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 撰寫

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

≈ 1,000
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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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結婚誓詞

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

≈ 2,000
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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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電子郵件回覆助手

輸入: 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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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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命名顧問

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

≈ 1,000
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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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習慣養成

輸入: reading 30 minutes every evening

≈ 1,000
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創意 會說話的照片 一張人臉照片說出你的話,可以輸入文字或使用你自己的錄音,口型同步。 輸入人臉照片 · 要說什麼? · 朗讀聲音 +3 輸出文字 ≈ 70,000 Runs 執行 研究 多來源研究報告 拆解您的問題,從網頁、學術和內部來源平行擷取資料,交叉驗證並整合成有引用的報告。 輸入研究問題 · 深度 · 來源 +1 輸出文字 ≈ 19,224 Runs 執行 開發 軟體模組建構器 分解規格說明、生成程式碼和測試、執行靜態分析 + 沙箱,循環同儕審查直至通過。 輸入模組規格 · 程式語言 · 包含測試 +1 輸出文字 ≈ 250,000 Runs 執行 行銷 企業名錄產生器 以 Excel 檔案取得企業名錄:說明您要找的對象,然後列出產業和地點。每個產業都會在每個地點搜尋,重複項目會被合併,每一列都連結到其來源頁面。執行前即可看到費用。 輸入您要找什麼樣的企業? · 產業 · 地點 +1 輸出文字 ≈ 50,000 Runs 執行 行銷 SEO 部落格文章 經搜尋最佳化並含品管檢查的部落格文章:嚴謹的大綱、自然的關鍵字使用與 meta 描述。 輸入主題 · 關鍵字 · 長度 +3 輸出文字 ≈ 3,000 Runs 執行 行銷 社群貼文包 為同一主題生成針對各平台優化的貼文(推文、LinkedIn、Instagram)。 輸入主題 · 平台 · 頻道 輸出文字 ≈ 2,000 Runs 執行 工具 翻譯片段 將一段文字快速翻譯成另一種語言。 輸入待翻譯文字 · 目標語言 輸出文字 ≈ 1,000 Runs 執行 行銷 每週狀態摘要 撰寫 Markdown 狀態報告並以永久連結儲存至您的資料庫。 輸入週次標籤 · 重點摘要 輸出文字 ≈ 1,000 Runs 執行 創意 D&D 冒險引子 一份可直接開團的冒險種子:引子、三個場景、NPC、複雜情節與寶藏。 輸入派對 + 場地 · 輸出語言 · 頻道 輸出文字 ≈ 1,000 Runs 執行
影片指南

觀看使用方式

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.

此影片為英文。

在其專屬頁面觀看

章節
  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.

此影片為英文。

在其專屬頁面觀看

章節
  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
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