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.

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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

Content2,26863% call a modelAlerts and monitoring1,74826% call a modelData collection1,72942% call a modelIntegrations1,4530% call a modelLead generation1,41847% call a modelResearch and reporting99467% call a modelAI assistants980100% call a modelScheduling82856% call a modelMoney admin70348% call a modelDocuments and files69938% call a modelChat assistants690100% call a modelCustomer support48571% call a modelE-commerce44134% call a modelCRM38550% call a modelHiring25373% call a modelSetup and learning24611% call a modelStrategy and planning3177% call a model

The library

25 found

AllContentAlerts and monitoringData collectionIntegrationsLead generationResearch and reportingAI assistantsSchedulingMoney adminDocuments and filesChat assistantsCustomer supportE-commerceCRMHiringSetup and learningStrategy and planningSupabase vectors ✕

Data collectionAIDynamic UI Generation with TheSys C1Starts on someone opening a chat with it · 8 stepsGoogle SheetsSupabase vectorsData collectionAIAI multi-source agent with Perplexity Search and SupabaseStarts on someone opening a chat with it · 11 stepsGoogle SheetsSupabase vectorsData collectionAICreate personal data vector store from Google SheetsStarts on someone opening a chat with it · 11 stepsGoogle SheetsSupabase vectorsData collectionAISearch hardware inventory with Supabase and GeminiStarts on someone opening a chat with it · 11 stepsGoogle SheetsSupabase vectorsData collectionAIDynamic chatbot with SupabaseStarts on someone opening a chat with it · 12 stepsAirtableGoogle DriveSupabase vectorsData collectionAITrack and classify Facebook ad angles with Apify and OpenAIRun by hand · 15 stepsApifySupabaseSupabase vectorsData collectionAIAI-powered knowledge assistant with Google Sheets and OpenAIStarts on a change in a Google Sheet · 16 stepsGoogle SheetsSupabase vectorsData collectionAIBuild a labeled Reddit opinion dataset with Apify and OpenAIStarts on a clock · 16 stepsApifySupabaseSupabase vectorsData collectionAISupabase insertion & upsertion & retrieval with OpenAIStarts on someone opening a chat with it · 16 stepsGoogle DriveSupabaseSupabase vectorsData collectionAIAI study assistant with RAG and DriveStarts on someone opening a chat with it · 17 stepsGoogle DrivePostgresSupabase vectorsData collectionAIBuild a RAG knowledge chatbot with OpenAI and Google DriveStarts on someone opening a chat with it · 17 stepsGoogle DriveSupabaseSupabase vectorsData collectionAIBuild your own RAG-ready vector database in seconds – no SQL, noStarts on an event in a connected app · 17 stepsGoogle DriveSupabaseSupabase vectorsData collectionAIIndex n8n workflows and enable semantic AI search with OpenAIStarts on another system calling it · 17 stepsSupabaseSupabase vectorsData collectionAISync a Telegram RAG chatbot with Google Drive and OpenAIStarts on an incoming Telegram message · 25 stepsGoogle DriveSupabaseSupabase vectorsTelegramData 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 collectionAIAdaptive email auto-responder with OpenAI and GmailStarts on an arriving email · 29 stepsGmailGoogle SheetsSupabase vectorsData collectionAIGoogle Drive to Pinecone vector storage workflow with OpenAIStarts on someone opening a chat with it · 32 stepsGoogle DriveSupabaseSupabase vectorsData collectionAICreate a self-updating RAG chatbot with Google DriveStarts on someone opening a chat with it · 34 stepsGoogle DrivePostgresSupabaseSupabase vectorsData collectionAIWebsites into a conversational knowledge base with OpenAI RAGStarts on someone submitting a form · 34 stepsSupabaseSupabase vectorsData collectionAIFrom sitemap crawling to vector storage: Creating an efficientStarts on an event in a connected app · 35 stepsPostgresSupabaseSupabase vectorsData collectionAIInteractive knowledge base chat with Supabase RAGStarts on someone opening a chat with it · 43 stepsGmailGoogle DrivePostgresSupabaseData collectionAIWordPress - AI chatbot to enhance user experienceStarts on someone opening a chat with it · 45 stepsPostgresSupabaseSupabase vectorsWordPressData collectionAIAI personal assistant with RAG and SupabaseStarts on another system calling it · 64 stepsPostgresRedisSupabaseSupabase vectors

Start small

A few you can read in one sitting

Research and reportingSend daily Mailchimp subscriber reports to SlackWhen a clock · 3 stepsMailchimpSlackAlerts and monitoringAutomate a Tally form: store with Airtable and SlackWhen a clock · 3 stepsAirtableSlackCRMAdd Calendly invitees to HubSpot with SlackWhen an event in a connected app · 3 stepsHubSpotSlackMoney adminStripe purchase email personalizer: Payment + Gmail + SlackWhen an event in a connected app · 3 stepsGmailSlackSchedulingAutomatic event creation in Google CalendarWhen a change in a Google Sheet · 3 stepsGoogle CalendarGoogle SheetsCustomer supportAutomated Customer Service Ticket Creation & NotificationsWhen someone submitting a form · 3 stepsAsanaWhatsAppData collectionAdd Gmail sender contacts to MySQL databaseWhen an arriving email · 3 stepsGmailMySQLDocuments and filesGet an mp4 attachment from Gmail to Google DriveWhen triggered · 3 stepsGmailGoogle DriveE-commerceNotify on Telegram and Twitter when new order is addedWhen an event in a connected app · 3 stepsTelegramX

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.

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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.