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

51 found

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

Alerts and monitoringAIMonitor Twitter accounts & generate intelligence summariesStarts on a clock · 11 stepsPostgresRSSTelegramAlerts and monitoringAIMonitor competitor price shifts with Apify and PostgresStarts on a clock · 12 stepsApifyPostgresSlackAlerts and monitoringAIInvestigate Alertmanager incidents with OpenAI and ClickUpStarts on another system calling it · 14 stepsClickUpPostgresSlackAlerts and monitoringAIAI Qwen-Vl-Plus powered car fleet maintenance alert systemStarts on a clock · 17 stepsPostgresSlackAlerts and monitoringAIMonitor data quality with Notion and SQLStarts on a clock · 17 stepsGmailJiraNotionPostgresAlerts and monitoringAIReal-time IoT anomaly detection with MQTT and OpenAIStarts on a clock · 17 stepsEmailPostgresSlackAlerts and monitoringAIAutomate peer review assignments with SlackStarts on another system calling it · 20 stepsEmailPostgresSlackAlerts and monitoringAIReal-time oil price crisis detection with Qwq-32b AIStarts on a clock · 20 stepsGmailPostgresSlackAlerts and monitoringAIAnalyze contract PDFs and score risk with Claude and PostgresStarts on another system calling it · 22 stepsGmailPostgresSlackAlerts and monitoringAIDetect and correct claims cost leakage with OpenAIStarts on a clock · 23 stepsEmailPostgresAlerts and monitoringAIMonitor attack surface changes with OpenAI and PostgresStarts on a clock · 23 stepsEmailPostgresSlackAlerts and monitoringAIPredict F1 Race Winners with OpenAI and Historical DataStarts on a clock · 27 stepsGoogle SheetsPostgresSlackin-memory vectorsAlerts and monitoringAIOptimize fleet routes and anomaly alerts with OpenAI and SlackStarts on another system calling it · 28 stepsEmailPostgresSlackAlerts and monitoringAIAutomate ESG carbon monitoring and strategy executionStarts on a clock · 30 stepsEmailGoogle SheetsPostgresSlackAlerts and monitoringAIMonitor and optimize carbon emissions for ESG reportingStarts on a clock · 30 stepsEmailGoogle SheetsPostgresSlackAlerts and monitoringAIAutomate ESG carbon monitoring and strategy executionStarts on another system calling it · 32 stepsEmailGoogle SheetsPostgresSlackAlerts and monitoringAIAutomated product health monitor with OpenAI and GmailStarts on a clock · 32 stepsGmailNotionPostgresSlackAlerts and monitoringAIMonitor and optimize carbon emissions for ESG with OpenAIStarts on another system calling it · 32 stepsEmailGoogle SheetsPostgresSlackAlerts and monitoringMulti-Channel Creator Orchestrator (The Master Hub)Starts on an incoming Telegram message · 5 stepsPostgresTelegramAlerts and monitoringOrganize Zabbix alerts - PostgreSQLStarts on another system calling it · 5 stepsPostgresAlerts and monitoringSend SMS alerts based on database queries (Twilio and Postgres)Starts on a clock · 5 stepsPostgresTwilioAlerts and monitoringPostgres database size alertStarts on a clock · 6 stepsEmailPostgresAlerts and monitoringPostgres health checkStarts on a clock · 6 stepsEmailPostgresAlerts and monitoringWatchdog: Update All Workflows with Default Error WorkflowStarts on a clock · 6 stepsPostgres

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.