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 assistantsAIXAUUSD| Gold Predition & Analisys AI with OpenAIStarts on someone opening a chat with it · 24 stepsAI assistantsAIAI-powered ServiceNow chat triage with OpenAIStarts on someone opening a chat with it · 25 stepsAI assistantsAIImage to 3D conversion workflow with OpenAIStarts on someone submitting a form · 25 stepsAI assistantsAIOrchestrate multi-agent energy optimization with OpenAIStarts on an event in a connected app · 25 stepsAI assistantsAIZammad AI agent - all 20 operations with OpenAIStarts on an event in a connected app · 25 stepsAI assistantsAIBuild AI agents with OpenRouterStarts on another system calling it · 26 stepsAI assistantsAIConversational Kubernetes management with OpenAI and MCPStarts on someone opening a chat with it · 27 stepsAI assistantsAIIntelligent project delivery and task management systemStarts on a clock · 27 stepsAI assistantsAILINE messages with OpenRouterStarts on another system calling it · 27 stepsAI assistantsAICreate an AI chatbot for WhatsApp with Whapi.Cloud and OpenAIStarts on another system calling it · 28 stepsAI assistantsAIGitHub repository AI agent with OpenAIStarts on an event in a connected app · 28 stepsAI assistantsAIAutomatic LinkedIn engagement with OpenAI and PhantombusterStarts on a clock · 29 stepsAI assistantsAIThe art of crafting effective promptsStarts on someone opening a chat with it · 29 stepsAI assistantsAIWix chat auto-responder with OpenAIStarts on another system calling it · 29 stepsAI assistantsAICompare sequential, agent-based, and parallel LLM processingStarts on another system calling it · 31 stepsAI assistantsAIRemediate Kubernetes CrashLoopBackOff incidents with OpenAIStarts on another system calling it · 32 stepsAI assistantsAINatural language task management with Todoist and OpenAIStarts on someone opening a chat with it · 33 stepsAI assistantsAISubdomain enumeration with Subfinder and HTTPXStarts on another system calling it · 34 stepsAI assistantsAICreate an all-in-one Discord assistant with Gemini and LlamaStarts on another system calling it · 36 stepsAI assistantsAIGenerate and audit original revenge stories with OpenAIStarts on an event in a connected app · 38 steps

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.