Automations, described by what they do

15,351 working automation workflows. Every description is composed from the workflow's own steps: what starts it, which services it touches, whether it hands judgement to a model, and how much there is to read.

Browse the libraryBrowse by job

Cleaned of credentials and personal data. Ready to import.

Running now3 steps

Send daily Mailchimp subscriber reports to Slack

Waiting for a trigger
Workflows15,351working automations
Call a model7,615hand a step to AI
Services60apps they connect
Small5,286readable in one sitting

What they're for

17 kinds of job

The library

485 found

AllContentAlerts and monitoringData collectionIntegrationsLead generationResearch and reportingAI assistantsSchedulingMoney adminDocuments and filesChat assistantsCustomer supportE-commerceCRMHiringSetup and learningStrategy and planning

Customer supportAITurn support calls into Zendesk tickets with WayinVideoStarts on someone submitting a form · 12 stepsGoogle SheetsCustomer supportAIWhatsApp support bot with Gemini and in-memory vectorsStarts on someone submitting a form · 12 stepsin-memory vectorsCustomer supportAIAI Customer Support Bot: Auto-Classify, RouteStarts on another system calling it · 13 stepsSlackCustomer supportAIAI Customer Support Chat for Web Hosting with Gemini and WHMCSStarts on another system calling it · 13 stepsGoogle SheetsCustomer supportAIAI-powered support automation with Outlook and OpenAIStarts on another system calling it · 13 stepsGmailJiraOutlookCustomer supportAIAnswer support chat questions from uploaded documentsStarts on someone submitting a form · 13 stepsin-memory vectorsCustomer supportAIAssess churn risk from HubSpot tickets with DeepSeek and SlackStarts on a clock · 13 stepsHubSpotSlackCustomer supportAIAutomate customer support with WhatsApp AIStarts on another system calling it · 13 stepsGoogle DocsGoogle SheetsCustomer supportAIAutomated Jira ticket responses with OpenAI and PineconeStarts on a clock · 13 stepsJiraPineconeCustomer supportAICollect and theme customer complaints with Apify and OpenAIStarts on a clock · 13 stepsApifyGoogle SheetsNotionSlackCustomer supportAICreate AI support assistant for any device with OpenAIStarts on another system calling it · 13 stepsPineconeCustomer supportAICustomer service agent with OpenRouter and Google SheetsStarts on someone opening a chat with it · 13 stepsGoogle SheetsCustomer supportAICustomer support WhatsApp bot with Google Docs and GeminiStarts on an incoming WhatsApp message · 13 stepsGoogle DocsGoogle SheetsWhatsAppCustomer supportAICustomer support WhatsApp bot with Google Docs and GeminiStarts on an incoming WhatsApp message · 13 stepsGoogle DocsGoogle SheetsWhatsAppCustomer supportAICustomer support chatbot with RAG and OpenAIStarts on someone opening a chat with it · 13 stepsGoogle DrivePineconeCustomer supportAIEscalate VIP Zendesk tickets with OpenAI and SlackStarts on an event in a connected app · 13 stepsAirtableGmailSlackCustomer supportAIHandle WhatsApp support text and voice messages with OpenAIStarts on an incoming WhatsApp message · 13 stepsWhatsAppCustomer supportAIIntelligent WhatsApp Support Auto-RouterStarts on an event in a connected app · 13 stepsTwilioZendeskCustomer supportAIQ&A AI agent: The future of customer service and supportStarts on someone opening a chat with it · 13 stepsGoogle DrivePineconeCustomer supportAIRoute customer support chats with OpenAI and SlackStarts on another system calling it · 13 stepsGoogle SheetsSlackCustomer supportAIRun a RAG support copilot with Claude and OpenAIStarts on someone opening a chat with it · 13 stepsGmailin-memory vectorsn8n data tableCustomer supportAISupport call analysis & routing with Gemini and ElevenLabsStarts on a clock · 13 stepsGoogle DriveGoogle SheetsTelegramCustomer supportAITurn support emails into FAQ drafts with Gmail and OpenAIStarts on an arriving email · 13 stepsGmailGoogle DocsGoogle SheetsCustomer supportAIAI customer support agent - never sleep, never miss a customerStarts on another system calling it · 14 stepsEmailNotion

Start small

A few you can read in one sitting

What we took out

Cleaned before anything was stored

These files carry more of whoever built them than is obvious. All of it is stripped, and every file was checked, not sampled. Where an author left a live document behind, it is replaced with the placeholder the careful ones used, so you can still see what belongs there.

Triggers

What starts them

  1. A clock4,166
  2. An event in a connected app3,946
  3. Another system calling it2,801
  4. An arriving email1,591
  5. Someone submitting a form1,545
  6. Someone opening a chat with it895
  7. A change in a Google Sheet216

Services

What they touch

Google Sheets5,229Gmail3,419Slack2,307Telegram1,809Google Drive1,540Email863Airtable554Google Calendar480Notion471RSS404Postgres306WhatsApp285

Read the workflows

Filter 15,351 automations by what they do, what they connect to and how big they are, and open the definition itself, ready to import.

Q&A

What are these?

Working automations: the definition of each, ready to import, with a description composed from its own steps.

Why are some descriptions unflattering?

Because they say what the workflow does. One that is four steps and a webhook is described as four steps and a webhook, so you can decide from the page whether it is worth your afternoon.

What was removed from the files?

Instance identifiers, canvas notes with personal links and email addresses, saved credential names, and live documents left in by their authors. Every file was checked, not sampled.

What do I need to run them?

A workflow automation tool that imports these definitions. Each imports as it is; you add your own credentials.