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

42 found

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

AI assistantsAIBasic RAG Retrieval Template with Gemini and PineconeStarts on someone opening a chat with it · 6 stepsPineconeAI assistantsAILoad PDFs into Pinecone with OpenAI and Google DriveStarts on an event in a connected app · 6 stepsGoogle DrivePineconeAI assistantsAIRAG upload on Pinecone - large data with OpenAIStarts on another system calling it · 6 stepsPineconeAI assistantsAIKnowledge agent with OpenAI and PineconeStarts on someone opening a chat with it · 7 stepsPineconeAI assistantsAITurn websites into RAG chatbot knowledge bases with ApifyStarts on an event in a connected app · 7 stepsPineconeAI assistantsAIAI chat agent – restaurant assistant with Pinecone and OpenAIStarts on someone opening a chat with it · 8 stepsPineconeAI assistantsAIBasic RAG Ingestion Template with Gemini and Google DriveStarts on another system calling it · 8 stepsGoogle DrivePineconeAI assistantsAIConvert tour PDFs to vector database with Google DriveStarts on an event in a connected app · 8 stepsGoogle DrivePineconeAI assistantsAIMedical Q&A chatbot for urology with RAG and PineconeStarts on someone opening a chat with it · 8 stepsPineconeAI assistantsAITamplate atis with OpenAI and PineconeStarts on another system calling it · 8 stepsPineconeAI assistantsAIVoice-driven travel itinerary generator with ElevenLabsStarts on another system calling it · 8 stepsPineconeAI assistantsAIAI Email Teaching Assistant with RAG and Intent ClassificationStarts on an arriving email · 9 stepsGmailPineconeAI assistantsAIAuto-triage GitHub issues with PineconeStarts on another system calling it · 9 stepsPineconeAI assistantsAIPersonalized tour package recommendations with OpenAIStarts on another system calling it · 9 stepsPineconeAI assistantsAIUpdate Pinecone knowledge with OpenAIStarts on an event in a connected app · 9 stepsPineconeAI assistantsAIBuild & query RAG system with Google Drive and OpenAIStarts on someone opening a chat with it · 11 stepsGoogle DrivePineconeAI assistantsAICTO agent with OpenAI and PineconeStarts on someone opening a chat with it · 11 stepsPineconeAI assistantsAIConversational WhatsApp assistant with Gemini and PineconeStarts on another system calling it · 11 stepsPineconeAI assistantsAIGenerate personalized tour itineraries with OpenAIStarts on an arriving email · 12 stepsEmailPineconeAI assistantsAIBuild a RAG chat system with Aryn DocParse and AWS S3Starts on someone opening a chat with it · 13 stepsPineconeS3AI assistantsAIGoogle Drive RAG chatbot builder with OpenAI and PineconeStarts on someone opening a chat with it · 13 stepsGoogle DrivePineconeAI assistantsAIPower a Nexora RAG chatbot with Groq and GeminiStarts on someone opening a chat with it · 13 stepsGoogle DrivePineconeAI assistantsAIRAG: context-aware chunking | Google Drive to PineconeStarts on an event in a connected app · 13 stepsGoogle DrivePineconeAI assistantsAIBuild a company website RAG chatbot with Apify and PineconeStarts on someone opening a chat with it · 14 stepsApifyPinecone

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.