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 collectionAIThe title is very good, clearly conveying the template's purposeStarts on a clock · 25 stepsGmailPostgresRSSData collectionAITriage fleet telemetry and route safety compliance with OpenAIStarts on another system calling it · 25 stepsGmailGoogle SheetsData collectionAIAI-powered Reddit brand promotion with ClaudeStarts on a clock · 26 stepsGoogle SheetsRedditData collectionAIAssistant for HubSpot chat with OpenAI and AirtableStarts on another system calling it · 26 stepsAirtableData collectionAIPPC: automate ad scraping and editing with OpenAIStarts on an event in a connected app · 26 stepsGoogle DriveGoogle SheetsData collectionAIScrape Skool community data with Olostep API and Google SheetsStarts on someone submitting a form · 26 stepsGoogle SheetsData collectionAITrend hunter with BrightDataStarts on a clock · 26 stepsGmailGoogle SheetsLinkedInRSSData collectionAIAI email auto-responder system- AI RAG agent for email inboxStarts on an arriving email · 27 stepsGmailGoogle DocsGoogle DriveNotionData collectionAIAutomated email responses with OpenAI and SupabaseStarts on an event in a connected app · 27 stepsOutlookPostgresSupabaseSupabase vectorsData collectionAIBuild a RAG knowledge base from PDFs with Gemini and SupabaseStarts on someone opening a chat with it · 27 stepsGoogle DriveGoogle SheetsSupabase vectorsData collectionAIGenerate AI YouTube shorts with Claude and GeminiStarts on an event in a connected app · 27 stepsGoogle DriveGoogle SheetsYouTubeData collectionAIPersonal finance tracker with Telegram Bot and GeminiStarts on an incoming Telegram message · 27 stepsGoogle DriveGoogle SheetsTelegramData collectionAIScreen LinkedIn jobs and send tailored applications with ApifyStarts on someone submitting a form · 27 stepsGmailGoogle SheetsData collectionAIAssign unassigned Jira issues with AirtableStarts on an event in a connected app · 28 stepsAirtableJiraData collectionAIAutonomous AI crawler with OpenAI and SupabaseStarts on an event in a connected app · 28 stepsSupabaseData collectionAICreate consistent AI characters with Google Nano BananaStarts on an event in a connected app · 28 stepsGoogle DriveGoogle SheetsData collectionAICustomer service workflow with Gemini and Google DriveStarts on an event in a connected app · 28 stepsGoogle DriveGoogle Sheetsin-memory vectorsData collectionAIGoogle sheet + n8n + power automate desktop with GeminiStarts on a clock · 28 stepsGoogle SheetsData collectionAISynchronizing Qdrant with Google Drive and NocoDBStarts on a clock · 28 stepsGoogle DriveNocoDBQdrantData collectionAIAdaptive email auto-responder with OpenAI and GmailStarts on an arriving email · 29 stepsGmailGoogle SheetsSupabase vectorsData collectionAICreate emotional stories with Gemini and Veo3 JSONStarts on an event in a connected app · 29 stepsGoogle DriveGoogle SheetsData collectionAICreate structured Notion workspaces from notes & voiceStarts on an event in a connected app · 29 stepsGoogle DriveNotionData collectionAIAI agent to chat with AirtableStarts on someone opening a chat with it · 30 stepsAirtableData collectionAIAdvanced usage of Forms with OpenAI and GmailStarts on someone submitting a form · 30 stepsGmailNotion

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.