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

1,729 found

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

Data collectionAIAnalyze commodity portfolio diversification with SheetsStarts on an event in a connected app · 24 stepsGmailGoogle SheetsData collectionAIAnalyze npm packages with Firecrawl and GitHubStarts on someone submitting a form · 24 stepsGitHubSlackData collectionAIDetect visual regressions with Apify and GeminiStarts on a clock · 24 stepsGoogle DriveGoogle SheetsLinearData collectionAIEmail subscription service with AirtableStarts on someone submitting a form · 24 stepsAirtableGmailData collectionAIFacebook ad library spy with OpenAI and Google DriveStarts on an event in a connected app · 24 stepsGoogle DriveGoogle SheetsData collectionAIFrom Google Drive to Instagram, TikTok & YouTube with AirtableStarts on an event in a connected app · 24 stepsAirtableGoogle DriveTelegramData collectionAIGenerate and deploy Notion chat assistants with OpenAIStarts on someone opening a chat with it · 24 stepsNotionData collectionAISend a weekly legal tech AI digest with OpenAI and GeminiStarts on a clock · 24 stepsExcelOutlookRSSData collectionAISend regulatory update digest emails with Google SheetsStarts on a clock · 24 stepsEmailExcelGoogle SheetsData collectionAISmart calorie tracker with Gemini and Google SheetsStarts on an incoming Telegram message · 24 stepsGoogle SheetsTelegramData collectionAITaxi service provider with Grok and PostgresStarts on someone opening a chat with it · 24 stepsPostgresRedisData collectionAITrack and triage ops requests from Gmail with OpenAIStarts on a clock · 24 stepsAirtableDiscordGmailData collectionAIVisual regression testing with ApifyStarts on a clock · 24 stepsGoogle DriveGoogle SheetsLinearData collectionAIAI multi-stop planner for circular logistics with OpenAIStarts on an arriving email · 25 stepsGmailGoogle SheetsData collectionAIAutomate Calendly user onboarding & offboardingStarts on someone submitting a form · 25 stepsGmailGoogle SheetsData collectionAIBuild AI-ready knowledge base from Outlook & NotionStarts on someone opening a chat with it · 25 stepsNotionOutlookPineconeData collectionAIBuild Gmail contact database with Brave SearchStarts on an event in a connected app · 25 stepsGmailGoogle SheetsData collectionAICheck Etsy listing gaps with Bright Data and OpenAIStarts on a clock · 25 stepsGmailGoogle SheetsData collectionAIConversing with OpenAI and PostgresStarts on someone opening a chat with it · 25 stepsPostgresData collectionAIConvert LINE handwritten memo images to tagged, searchable notesStarts on another system calling it · 25 stepsGoogle DriveGoogle SheetsData collectionAIDraft Gmail replies with ClaudeStarts on a clock · 25 stepsGmailGoogle SheetsData collectionAIGet daily exercise plan with Flex Message and LINEStarts on a clock · 25 stepsGoogle SheetsData collectionAISync Notion knowledge base with Vapi and PineconeStarts on a clock · 25 stepsNotionPineconeData collectionAISync a Telegram RAG chatbot with Google Drive and OpenAIStarts on an incoming Telegram message · 25 stepsGoogle DriveSupabaseSupabase vectorsTelegram

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.