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 collectionAIAutomated PR code reviews with GitHub and OpenAIStarts on an event in a connected app · 8 stepsGitHubGoogle SheetsData collectionAIAutomated patient response system with OpenAIStarts on a change in a Google Sheet · 8 stepsGmailGoogle SheetsData collectionAICYBERPULSE AI RedOps: validate email security gateways generatedStarts on an event in a connected app · 8 stepsGoogle SheetsData collectionAIClient Onboarding Readiness Desk with OpenAI and GmailStarts on someone submitting a form · 8 stepsGmailNotionData collectionAIDemand forecasting with OpenAI and PostgresStarts on an event in a connected app · 8 stepsPostgresData collectionAIDynamic UI Generation with TheSys C1Starts on someone opening a chat with it · 8 stepsGoogle SheetsSupabase vectorsData collectionAIEffortless job hunting: Let this automation find your next roleStarts on an event in a connected app · 8 stepsGoogle DriveGoogle SheetsData collectionAIEmail responder and logger with Gemini and GmailStarts on an arriving email · 8 stepsGmailGoogle SheetsData collectionAIExtract & analyze Amazon reviews with Apify and GeminiStarts on an event in a connected app · 8 stepsApifyGoogle SheetsSlackData collectionAIExtract email tasks with Gmail and OpenAIStarts on a clock · 8 stepsGmailSupabaseData collectionAIExtract skill matrix to Google Sheets with Google DriveStarts on an event in a connected app · 8 stepsGoogle DriveGoogle SheetsData collectionAIExtract tasks from Telegram messages to Notion with GeminiStarts on an incoming Telegram message · 8 stepsNotionTelegramData collectionAIFetch keyword from Google Sheet and classify them with OpenAIStarts on an event in a connected app · 8 stepsGoogle SheetsData collectionAIGenerate Brand Names from Structured Business InputsStarts on an event in a connected app · 8 stepsGoogle SheetsData collectionAIGenerate QA test cases from Figma designs to Google SheetsStarts on an event in a connected app · 8 stepsGoogle SheetsData collectionAIGenerate daily business ideas with OpenAI and AirtableStarts on a clock · 8 stepsAirtableData collectionAIGenerate recipe variations from ingredients with GeminiStarts on someone submitting a form · 8 stepsGmailGoogle SheetsData collectionAIGet started with Google SheetsStarts on an event in a connected app · 8 stepsGoogle SheetsData collectionAILI Connection Request System with OpenAI and Google SheetsStarts on someone submitting a form · 8 stepsGoogle SheetsData collectionAILinkedIn Connection Requests with Apollo and PhantomBusterStarts on someone submitting a form · 8 stepsGoogle SheetsData collectionAINotion knowledge base AI assistant with OpenAIStarts on someone opening a chat with it · 8 stepsNotionData collectionAINotion knowledge base assistant with OpenAIStarts on someone opening a chat with it · 8 stepsNotionData collectionAINotion to Pinecone vector store integration with GeminiStarts on an event in a connected app · 8 stepsNotionPineconeData collectionAIPersonalized LinkedIn connection requests with ApolloStarts on someone submitting a form · 8 stepsGoogle Sheets

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.