Last week, someone in our Discord asked: “Should I use OpenClaw, Zapier, or Make for my workflow?” My answer was all three, for different things. The question isn’t which one is best — it’s which one is right for each type of automation.
I’ve used all three extensively, and the choice is much simpler than people make it. Here’s my framework.
The One-Sentence Version
Zapier: connect App A to App B with no code.
Make: build complex multi-step workflows visually.
OpenClaw: automate tasks that require AI reasoning.
If the trigger is “when X happens in App A, do Y in App B” — that’s Zapier. If the workflow has branches, loops, and complex logic across multiple apps — that’s Make. If the task requires understanding content, making judgments, or generating text — that’s OpenClaw.
When Zapier Wins
Zapier is the king of simple integrations, and “simple” isn’t a weakness — it’s a superpower. Their library of pre-built connections to 6,000+ apps means most basic automations take 5 minutes to set up.
My Zapier automations:
– New Stripe payment → add row to Google Sheet
– New form submission → create Trello card
– New file in Google Drive → send Slack notification
– New GitHub issue → add to project board
These are trigger-action automations. Something happens, something else happens in response. No AI needed. No complex logic. Just reliable plumbing between apps.
Zapier’s price ($30-70/month for most use cases) is justified by the zero setup time and near-zero maintenance. I haven’t touched my Zapier workflows in months. They just run.
When Zapier fails: the moment you need branching logic, data transformation, or anything more complex than “if this, then that.” Zapier can do some of this, but it gets clunky fast. And it gets expensive — complex multi-step Zaps can cost $100+/month.
When Make Wins
Make (formerly Integromat) is what you use when Zapier isn’t enough but you don’t need AI. The visual workflow builder is genuinely powerful — branches, loops, error handling, data transformation, aggregation, and complex routing.
My Make automations:
– New order → check inventory → if in stock, fulfill; if not, alert purchasing and email customer
– Weekly: pull data from 3 APIs → aggregate → transform → generate PDF report → email to stakeholders
– New customer signup → check CRM for existing record → if exists, update; if not, create → trigger onboarding sequence
These workflows have decision points. They need to check conditions, branch based on results, handle errors, and coordinate multiple steps. Make handles this beautifully with its visual drag-and-drop builder.
Make’s pricing is also more generous — the free tier includes 1,000 operations/month, and paid plans start at $10/month for 10,000 operations. For complex workflows, Make is often cheaper than Zapier.
When Make fails: when the workflow requires understanding content. “Read this email and decide if it’s urgent” can’t be done with traditional logic — it requires AI judgment. That’s where OpenClaw enters.
When OpenClaw Wins
OpenClaw is the tool you reach for when the task requires intelligence, not just logic. When you need the system to read, understand, analyze, generate, or decide.
My OpenClaw automations:
– New support email → AI reads and categorizes → drafts appropriate response → queues for human review
– Daily: scan news sources → AI identifies relevant articles → generates summary → posts to team Slack
– New PR → AI reviews code → generates review comments with suggestions → posts to GitHub
– Client sends brief → AI analyzes requirements → creates project plan draft → adds to Notion
These tasks can’t be done with Zapier or Make because they require understanding content and making judgment calls. “Is this email urgent?” requires reading comprehension. “Draft an appropriate response” requires natural language generation. “Review this code” requires programming knowledge.
When OpenClaw isn’t the right choice: simple trigger-action automations that don’t need AI. Using OpenClaw to “when new Stripe payment, add row to Sheet” is like using a rocket launcher to open a door. It works, but Zapier does it in 2 minutes with zero API costs.
My Actual Stack
I run all three simultaneously:
Zapier: 12 simple integrations. $50/month. Zero maintenance.
Make: 4 complex workflows. $16/month. Monthly maintenance check.
OpenClaw: 8 AI-powered automations. ~$80/month (mostly API costs). Weekly maintenance and prompt tuning.
Total automation budget: ~$146/month. Total time saved: 15-20 hours/week. The math is aggressively positive.
The Decision Flowchart
Start here: Does the automation require understanding or generating text/content?
No → Is it a simple “when X happens, do Y”?
– Yes → Zapier
– No → Make
Yes → OpenClaw
That’s it. Three questions. The answer is almost always obvious once you frame it this way.
The Mistake Everyone Makes
Trying to do everything with one tool. Zapier users try to build complex workflows in Zapier and end up with expensive, fragile multi-step Zaps. Make users try to add AI by calling APIs manually and end up with brittle integrations. OpenClaw users try to replicate simple integrations and spend an hour on something Zapier handles in 2 minutes.
Use each tool for what it’s best at. Let them coexist. The tools complement each other — they don’t compete.
🕒 Last updated: · Originally published: December 12, 2025