AI Automation
Put Claude to work while you sleep
Wire Claude into no-code automation tools like Make, n8n, and Zapier. Trigger workflows from email, forms, and schedules, let Claude do the thinking, then write results back to your apps — no babysitting required.
The big picture
What AI automation can do
Chat and Cowork are hands-on — you're in the loop. Automation is hands-off: you build a workflow once, and it runs itself whenever something happens. Claude becomes the 'brain' step in the middle.
Trigger on anything
Start a workflow from a new email, form submission, file upload, calendar event, or webhook — no manual kickoff.
Claude as the brain
Drop a Claude step into the middle to classify, summarize, extract, draft, or decide — then act on its answer.
Read & write your apps
Pull data from one app, transform it with Claude, and push the result to Sheets, a CRM, Slack, or a database.
Run on a schedule
Have a workflow fire every morning, every hour, or on a cron — daily digests, reports, and reminders run themselves.
Branch on the result
Route differently based on what Claude returns — escalate urgent items, file the rest, all automatically.
Run unattended, safely
Add filters, error handling, and approval steps so automations fail loudly instead of silently doing the wrong thing.
Your roadmap
From first scenario to production pipelines
Work through the three levels in order. You'll build a real, running automation in the Beginner level, then make it robust and powerful.
Build something that runs itself
- 1
Pick your platform
Start with Make, n8n, or Zapier — all have free tiers and a visual canvas. Make and n8n give you the most control; Zapier is the simplest. Any of them works for this track. - 2
Get a Claude API key
Create a key at console.anthropic.com. Automation calls the Claude API (pay-per-use), which is separate from your claude.ai chat subscription. Add a few dollars of credit to start. - 3
Add a trigger
Every workflow starts with a trigger — the event that kicks it off. Pick something simple first, like “new email in a Gmail label” or “new row in a Google Sheet.” - 4
Add a Claude step
Add an Anthropic / Claude module (or an HTTP call to the Messages API). Feed it data from the trigger and write a clear instruction: “Summarize this email in one sentence and label it urgent or normal.” - 5
Do something with the answer
Add a final action that uses Claude's output — append it to a sheet, post it to Slack, or send a reply. Then run once to test the whole chain end to end. - 6
Turn it on
Flip the scenario to active. It now runs on its own every time the trigger fires. Congratulations — that's a working AI automation.
Start absurdly small
Keep it handy
Quick reference
Common patterns
| Pattern | Shape | Great for |
|---|---|---|
Classify & route | Trigger → Claude → router | Triaging emails, tickets, and leads automatically. |
Extract to data | Trigger → Claude (JSON) → Sheet/DB | Turning messy text into clean, structured rows. |
Scheduled digest | Cron → gather → Claude → email | Daily summaries, reports, and standups. |
Draft & approve | Trigger → Claude → human → send | Replies and outreach that need a sign-off. |
Enrich a record | Trigger → Claude → update CRM | Filling in missing context on new contacts. |
Demand JSON
Structured output is the difference between a demo and a pipeline.
Let Claude decide, the flow route
Keep logic in the workflow; keep judgment in the prompt.
Test with 'run once'
Walk the whole chain on real data before going live.
Alert on failure
Silent automations rot. Make errors page you.
Vault your keys
API keys belong in connections/secrets, never inline.
Small, chained scenarios
Modular pipelines beat one giant unmaintainable flow.
Common questions