If you are still copying data between apps, manually sending the same types of emails, or spending time on tasks that follow a predictable pattern, you are leaving hours on the table every week. Make.com is a visual automation platform that lets you connect virtually any app to any other app and build workflows called "scenarios" that run automatically. No code required. This guide walks you through the core concepts, three battle-tested workflows you can build in under an hour, and the mindset shift that separates automations that last from ones that break.
Make.com is built around a simple concept: triggers and actions. A trigger is something that starts a workflow — a new email arriving, a form being submitted, a new row added to a spreadsheet, or a scheduled time each day. An action is what happens in response — send a message, create a record, call an API, or generate text with AI.
You build scenarios visually by dragging modules onto a canvas and connecting them. Each module represents one app or service, and you map the data flowing between them using a point-and-click interface. Make supports over 1,500 app integrations including Gmail, Slack, Notion, Airtable, Google Sheets, Shopify, HubSpot, and direct API connections to AI models like Claude and ChatGPT.
The free plan allows 1,000 operations per month — enough for light personal automation. Paid plans start at $9/month and scale with volume. One operation is roughly one module execution, so a three-module scenario running 200 times per month uses 600 operations — well within the free tier for most people getting started.
This scenario monitors your Gmail inbox for emails matching a filter (for example, emails from a specific domain or with a specific label), sends the email body to Claude or ChatGPT via API, and posts the AI-generated summary to a Slack channel or saves it to a Notion database.
Here is the module sequence:
[Gmail: Watch Emails]
→ Filter: Subject contains "Report" OR sender = client@domain.com
→ [HTTP: Call Claude API]
Prompt: "Summarize this email in 3 bullet points.
Flag any action items. Email: {{email.body}}"
→ [Slack: Send Message to #summaries channel]
Message: "*New email summary:*\n{{claude.response}}"
// Runs automatically whenever a matching email arrivesSetup time: about 20 minutes. Time saved: 5–10 minutes per email that would otherwise require careful reading and note-taking. For teams receiving 20+ important emails per day, this compounds to hours per week recovered. The most important part of this workflow is the filter — without a precise filter, Make will process every email you receive, burning operations and producing noise.
If you use a form tool like Typeform, Tally, or Google Forms, you know the pain of manually copying responses into your CRM, your project management tool, and sending a confirmation email — all for each new submission. This Make scenario does all three automatically.
[Typeform: New Response]
→ [HubSpot: Create Contact]
Email: {{form.email}}
Name: {{form.name}}
Source: "Website Form"
→ [Notion: Add Row to Database]
Name: {{form.name}}
Status: "New Lead"
Notes: {{form.message}}
→ [Gmail: Send Email]
To: {{form.email}}
Subject: "Thanks for reaching out!"
Body: "Hi {{form.name}}, we received your message..."This pattern works for any intake form — client inquiries, job applications, support tickets, event registrations. Once built, it runs forever without any manual intervention. Add a router module if you want different actions for different form responses — for example, routing high-value leads to a priority Slack channel while standard inquiries go only to the CRM.
This is one of the highest-value scenarios for managers and business owners: a scenario that runs every Monday morning, pulls data from your key sources (Google Analytics, Airtable, a Google Sheet), and generates a formatted weekly report that gets emailed to you or your team automatically.
[Schedule: Every Monday at 8am]
→ [Google Sheets: Get Range] — last week's metrics
→ [Airtable: Search Records] — tasks completed this week
→ [HTTP: Claude API]
Prompt: "Here is last week's business data:
Metrics: {{sheets.data}}
Tasks completed: {{airtable.records}}
Write a concise weekly summary with:
- 3 highlights
- 2 concerns or risks
- Recommended focus for this week"
→ [Gmail: Send to team@company.com]The key to making this valuable is data quality. If your Google Sheet has inconsistent formatting or your Airtable records are poorly maintained, the AI summary will reflect that. Spend time cleaning your data sources before building the scenario, and add a text aggregator module to format the data before passing it to the AI prompt — it produces significantly better outputs than raw spreadsheet dumps.
Most automation failures are architectural, not technical. Here are the three most common mistakes and how to avoid them:
No error handling. If an API call fails, most scenarios silently stop. Add an error handler module to every critical scenario so failures send you a Slack message or email immediately. Make has a built-in "Add error handler" option on every module — use it without exception.
Over-engineering the first version. Start with the simplest version that delivers value. A two-module scenario that works reliably beats a ten-module scenario that requires constant maintenance. Add complexity only when the core workflow is confirmed stable.
Missing filters. Before every action module, ask: "Is there a scenario where I would not want this to run?" If yes, add a filter. This single habit prevents most "automation went wrong" outcomes.
The real power of Make.com unlocks when you add AI to your automations. Make has native integrations with OpenAI and Claude, or you can call any AI API via the HTTP module. The pattern is always the same: gather data from one or more sources, construct a prompt that includes that data, call the AI API, and route the response to wherever it needs to go.
For content-heavy automations — where you need consistent tone, brand voice, and SEO optimization across generated content — consider pairing Make with Jasper AI. Jasper's API lets you define brand guidelines once and apply them across all generated content, which is a significant advantage for teams producing content at volume via automation. You can trigger Jasper templates directly from Make scenarios, making it the most streamlined path from data to publication-ready copy.
For a deeper look at how AI handles writing and content production, see our guide on the best AI tools for content creators. If your automation goals center on recovering time in your daily routine, our post on saving 10 hours a week with AI maps out the highest-leverage starting points across personal and professional workflows.
The best first automation is the one you will actually use. Follow this process: identify a task you do manually at least three times per week that follows a predictable pattern. Check whether all the apps involved are in Make's integration library. Build the scenario in Make using their visual canvas, test it with real data, and turn it on.
Use Make's built-in scenario templates as a starting point — there are hundreds of pre-built workflows you can activate and customize without starting from scratch. Search for your trigger app in the template library and you will almost always find something close to what you need. Modify the template rather than building from scratch, and you will cut setup time in half while avoiding the most common architectural mistakes.
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