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

196 found

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

Alerts and monitoringAIAuto-detect actionable emails with OpenAIStarts on an arriving email · 6 stepsEmailAlerts and monitoringAIAutomated error notifications with OpenAIStarts on an event in a connected app · 6 stepsEmailAlerts and monitoringAIAutomated server health check with SSH and Azure GPT-4Starts on a clock · 6 stepsEmailAlerts and monitoringAIMonitor emails & send AI-generated auto-replies with OllamaStarts on an arriving email · 8 stepsEmailTelegramAlerts and monitoringAIAutomate GDPR Consent Management with Azure OpenAI EmailsStarts on another system calling it · 9 stepsEmailGoogle SheetsSlackAlerts and monitoringAIAutomate GitHub, Jira release notes with GeminiStarts on an event in a connected app · 10 stepsEmailJiraAlerts and monitoringAIMonitor school admission updates with GeminiStarts on a clock · 11 stepsEmailAlerts and monitoringAIFree YouTube video analyzer with DeepSeek and OpenAIStarts on an event in a connected app · 13 stepsEmailAlerts and monitoringAIHealth monitoring system with Grok-3 AIStarts on another system calling it · 14 stepsEmailAlerts and monitoringAIMonitor multi-cloud costs and enforce policies with OpenAIStarts on a clock · 14 stepsEmailSlackn8n data tableAlerts and monitoringAIGenerate DraftKings DFS lineups with Google Sheets and SlackStarts on a clock · 15 stepsEmailGoogle SheetsSlackAlerts and monitoringAIScore cold-chain batch recall risk from IoT excursionsStarts on a clock · 15 stepsEmailAlerts and monitoringAISend crypto BUY/SELL alerts for top 5 coins with OpenAIStarts on a clock · 15 stepsEmailTelegramWhatsAppAlerts and monitoringAISend package and visitor alerts with Slack and SMSStarts on another system calling it · 15 stepsEmailGoogle SheetsSlackAlerts and monitoringAIAutomate website monitoring with OpenAI and MCPStarts on a clock · 16 stepsEmailGoogle SheetsSlackAlerts and monitoringAIMonitor AI infrastructure costs and route budget alertsStarts on a clock · 17 stepsEmailSlackn8n data tableAlerts and monitoringAIReal-time IoT anomaly detection with MQTT and OpenAIStarts on a clock · 17 stepsEmailPostgresSlackAlerts and monitoringAIError monitor: AI-powered resolution [Context7, Supabase]Starts on an event in a connected app · 18 stepsEmailSupabaseAlerts and monitoringAIDaily Google Analytics report with OpenAI and WhatsAppStarts on a clock · 19 stepsClickUpEmailGoogle SheetsWhatsAppAlerts and monitoringAIAutomate peer review assignments with SlackStarts on another system calling it · 20 stepsEmailPostgresSlackAlerts and monitoringAIMonitor NASA asteroid threats with OpenAI and ApifyStarts on another system calling it · 20 stepsApifyDiscordEmailGoogle SheetsAlerts and monitoringAIMonitor programme performance and governance with OpenAIStarts on a clock · 20 stepsEmailSlackAlerts and monitoringAIMonitor asset health and predict maintenance with ClaudeStarts on a clock · 21 stepsEmailSlackAlerts and monitoringAIMonitor grid telemetry and automate compliance alertsStarts on another system calling it · 21 stepsEmailn8n data table

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.