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

980 found

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

AI assistantsAIAutomating WhatsApp replies with Go High Level and RedisStarts on another system calling it · 25 stepsGoogle DriveRedisAI assistantsAIBuild a self-updating RAG system with OpenAI and QdrantStarts on someone opening a chat with it · 25 stepsGoogle DriveQdrantAI assistantsAIBuilding RAG chatbot for movie recommendations with QdrantStarts on someone opening a chat with it · 25 stepsGitHubQdrantAI assistantsAIBuilding RAG chatbot for movie recommendations with QdrantStarts on someone opening a chat with it · 25 stepsGitHubQdrantAI assistantsAIDetect multi-modal plagiarism with OpenAI and WhisperStarts on another system calling it · 25 stepsin-memory vectorsAI assistantsAISmart message batching AI-powered Facebook Messenger chatbot useStarts on another system calling it · 25 stepsn8n data tableAI assistantsAITurn your portfolio into an AI assistant with OpenAIStarts on another system calling it · 25 stepsGmailGoogle DrivePineconeAI assistantsAIAuto categorise Outlook emails with a local modelStarts on an event in a connected app · 26 stepsOutlookAI assistantsAIAuto categorise Outlook emails with a local modelStarts on an event in a connected app · 26 stepsOutlookAI assistantsAIBuild a Headless AI Chat API with Memory and HistoryStarts on another system calling it · 26 stepsn8n data tableAI assistantsAIEmail-to-task automation with Outlook and Microsoft To DoStarts on a clock · 26 stepsGmailGoogle TasksOutlookn8n data tableAI assistantsAIGenerate LinkedIn carousel images from text with MistralStarts on someone opening a chat with it · 26 stepsGoogle DriveS3AI assistantsAIThe ultimate Instagram automation for high-quality images & textStarts on someone submitting a form · 26 stepsGoogle Cloud StorageAI assistantsAIWhatsApp unofficial AI bot with Groq and PineconeStarts on another system calling it · 26 stepsPineconeRedisAI assistantsAIAI chatbot call center: Demo call center with Grok and RedisStarts on someone opening a chat with it · 27 stepsRedisAI assistantsAIAI voice & text note-taking with LINE MessagingStarts on another system calling it · 27 stepsGmailSupabase vectorsAI assistantsAIBuild a dual-stage RAG chat assistant with Google DriveStarts on someone opening a chat with it · 27 stepsGoogle DrivePineconeAI assistantsAIPlace products on AI generated backgrounds with Google ImagenStarts on someone submitting a form · 27 stepsGoogle DriveAI assistantsAIVision RAG and image embeddings with Cohere Command-AStarts on someone opening a chat with it · 27 stepsQdrantAI assistantsAIVoice AI chatbot with OpenAI and RAGStarts on another system calling it · 27 stepsGoogle DriveQdrantAI assistantsAIDynamic website assistant with DeepSeekStarts on another system calling it · 28 stepsPineconeAI assistantsAITriage and label Gmail emails with OpenAIStarts on an arriving email · 28 stepsGmailAI assistantsAIVoice memos into daily journals & tasks with GeminiStarts on another system calling it · 29 stepsGoogle DriveAI assistantsAIAdaptive RAG strategy with Gemini and QdrantStarts on someone opening a chat with it · 30 stepsQdrant

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.