The Tool Review: I Spent 30 Days Using Make.com Daily. Here Is What Actually Holds Up

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There is a moment in every tool review that I find slightly dishonest. The reviewer builds a demo workflow. It works. They post a screenshot. They say "this is amazing" and they move on.

That is not a review. That is a tutorial pretending to be a review.

A real review has to answer a different question. Not "does this work in a controlled demo," but "what happens when you use this every day for a month and stop being polite about its weaknesses?"

So that is what I did. For the last 30 days, I forced myself to use Make.com for every automation decision in my business. New workflow needed? Make.com. Existing automation breaking? Rebuild in Make.com. Client implementation? Make.com.

Some of it surprised me. Some of it confirmed what I already suspected. And some of it changed how I am going to recommend tools going forward.

Here is the full breakdown.

The Setup

For context, I currently run roughly 22 active automations across my business and a handful of client projects. Before this experiment, those automations lived across three different platforms. Some were in Zapier. Some were in custom code. A handful were in Make.com from previous projects. The portfolio was a mess and I had been telling myself I would consolidate "soon" for about a year.

The experiment was simple. Spend 30 days rebuilding or migrating everything into Make.com. Track what worked, what broke, and what cost me time I did not expect.

The pricing context matters here. Make.com runs on operations, which are essentially the units of work each automation consumes. Their core plan is $9 per month for 10,000 operations. The pro plan is $16 per month for 10,000 operations with more advanced features. For most small businesses, the core or pro plan is plenty. I run on pro because I need the additional features for client work.

That is roughly $192 per year for the entire automation backbone of my business. Hold that number in mind for the rest of this review.

What Holds Up Beautifully

Let me lead with the wins because there are a lot of them.

The visual builder is genuinely best in class. I have used Zapier, n8n, Workato, and a handful of others. The Make.com canvas is the only one that scales gracefully when you have a workflow with 12, 15, or 20 steps. The other tools either get visually claustrophobic or force you into rigid sequences. Make.com lets you sprawl, group, and structure complex automations without losing track of what you built.

This matters more than it sounds. The single biggest reason automations break six months later is that the original builder cannot remember what they built. Make.com's canvas makes the workflow self documenting in a way that pays back every time you have to touch it.

The execution log is the second standout feature. When something breaks, you can see exactly which step failed, what data it was processing, and why it errored out. I had three breaks during the 30 day experiment. All three were diagnosed and fixed in under 10 minutes because the logs told me exactly what happened.

For comparison, the last Zapier break I dealt with took me 90 minutes to figure out because the error message was essentially "something went wrong, try again." That is a nontrivial difference at scale.

The router and aggregator modules are the third feature that hold up under daily use. Most automation problems are actually conditional routing problems. "If the lead is from this source, do this. If from that source, do that." Make.com's router module handles this elegantly. You build one workflow with three branches instead of three separate workflows that each have to be maintained.

The aggregator pattern is the other side of this coin. Combining results from multiple branches back into a single output is something most tools handle clumsily. Make.com makes it look easy.

Where It Genuinely Frustrated Me

This is where most reviews go soft. I am not going to.

The learning curve in the first 10 days was harder than I expected. Make.com assumes you understand certain concepts that other tools shield you from. Bundles versus collections. Mapping versus configuring. Iterators versus arrays. None of these are unreasonable concepts, but they are not where most users start. If you are coming from a no code background, expect a real adjustment period.

The official documentation is uneven. Some modules have excellent docs with clear examples. Other modules have docs that read like they were written by an engineer who could not be bothered to explain what they meant. I spent more time on community forums and YouTube than I expected, hunting for examples that the official docs should have provided.

Error handling can be touchy. If you do not explicitly add error handlers to a workflow, a single failure can stall the entire automation. I learned this the expensive way when an API hiccup at 2 a.m. caused a workflow to halt and not retry until I noticed it the next morning. Now I add error handlers as a default, but the platform should arguably make this less manual.

The mobile app is a polite afterthought. If you need to fix something on the go, you are essentially out of luck. Make.com is a desktop tool. That is fine for me but worth knowing if you travel a lot.

The Cost Per Operation Trap

Here is the part of the review most people skip.

Make.com charges by operations, not by workflow. Every step in every workflow consumes operations. If you build a workflow that runs 100 times a day with 10 steps each, that is 1,000 operations a day, or 30,000 a month.

If you are not paying attention, you can blow through your operation quota fast. I had one workflow during the experiment that I built carelessly. It was checking a webhook every 15 minutes. By the end of the first week, it had consumed 35 percent of my monthly operations.

The fix was simple. Switch from polling to real time triggers. Operations dropped by 90 percent. But that fix required me to know to look for it.

This is the unspoken cost of Make.com. The platform rewards careful builders and punishes lazy ones. If you build cleanly, the operations budget is extremely generous. If you build sloppily, you will be paying for an upgrade you did not need.

For comparison, Zapier charges by tasks but their tasks tend to be coarser, so the same workflow often consumes fewer billable units. Whether that is better or worse depends on how you build.

The Comparison That Matters Most

After 30 days, here is the honest comparison.

If you are doing simple linear automations with under five steps, Zapier is probably easier and the price difference is negligible. The Zapier interface is more forgiving and the integrations library is slightly larger.

If you are doing anything with conditional logic, multiple data sources, or workflows with more than seven steps, Make.com pulls ahead clearly. The visual builder, the routing capabilities, and the error logs are genuinely better tools.

If you are doing client work or building automations you will hand off to other team members, Make.com is the only viable choice. The self documenting canvas means another person can pick up your workflow six months later and understand what is happening. Zapier becomes opaque at scale in a way Make.com does not.

For my business, Make.com won the experiment decisively. I migrated everything in. I am not migrating anything back.

What I Pair It With

Make.com is the connective tissue, but it is not the only tool in the stack. Here is what I run alongside it for the workflows I described.

For meeting capture and client follow ups, Fathom handles the recording and transcription. Make.com routes the action items into the right places.

For social media distribution, Buffer handles the posting. Make.com handles the content generation and scheduling logic upstream of Buffer.

For newsletter operations, Beehiiv is the publication layer. Make.com handles the subscriber tagging, segmentation, and reply automations.

For client management and CRM, Go High Level handles the relationship layer. Make.com handles the workflow logic that ties Go High Level to everything else.

For relationship intelligence and contact enrichment, Clay handles the data layer. Make.com pulls from Clay when a workflow needs context about who someone is.

For prompt running and content generation, Galaxy.ai gives me access to Claude, ChatGPT, and others under one subscription. Make.com calls Galaxy.ai when a workflow needs AI generation.

The full stack runs at roughly $180 per month all in. For what it does, that is the deal of the decade.

Who Should Buy It

Make.com is the right tool for you if any of the following are true.

You have more than five automations in your business already and they are scattered across multiple tools.

You are running a service business where every hour saved on operations is an hour earned on revenue.

You build automations for clients and need a tool that can be handed off without breaking.

You want a single platform that scales from "my first automation" to "I am running 50 active workflows."

Make.com is probably not the right tool for you if you only have one or two simple workflows and you are intimidated by the learning curve. In that case, start with Zapier and switch to Make.com when you outgrow it.

My Final Verdict

After 30 days of real use, Make.com is the tool I am going to keep recommending as the default automation platform for small businesses that are serious about scaling. It is not perfect. The learning curve is real. The documentation is uneven. The operations pricing rewards careful building.

But the visual builder, the error logs, the routing capabilities, and the self documenting canvas are genuinely better than the alternatives. For $9 to $16 per month, you get the connective tissue that holds together a serious operation.

The First 30 Days If You Are Starting From Scratch

If you are reading this and you have never built an automation before, here is the playbook I would follow if I were starting over today.

Days one through three. Pick one workflow you do manually every day. Map it on paper before you touch the platform. Five boxes maximum. If you cannot fit it on a napkin, it is too complex for a first build. Focus on something boring. The most boring workflows produce the biggest time savings because they run the most often.

Days four through seven. Build the workflow in Make.com. Do not optimize. Do not add error handling yet. Just get it running end to end. Test with three real examples. The goal is to feel the platform respond to your inputs.

Days eight through 14. Run the workflow live. Let it break. Each break is a free lesson in how the platform actually behaves. Add error handling as you find the failure modes. Do not add new workflows yet.

Days 15 through 21. Build your second workflow. By now, the patterns from the first build will start to feel familiar. The build time should drop by half.

Days 22 through 30. Build your third workflow. This is usually the moment most owners realize they have a system on their hands instead of just a tool. The compounding effect of three workflows running simultaneously is noticeable in your week.

The reason this slow ramp matters is that Make.com rewards depth of understanding more than breadth of feature usage. The owners who try to build 10 workflows in their first week tend to give up by week three because they are debugging multiple systems at once and feeling like they are drowning. The owners who build one workflow well, then a second, then a third, end up with a stack that runs for years.

If you want the exact 22 workflows I rebuilt in Make.com during this experiment, including the templates and the prompts, that is part of the AI Workflow Blueprint. Reply to this email with the word BLUEPRINT.

If you want help installing this stack inside your business with implementation calls and a 90 day plan, the AI Business Accelerator is where that lives. Reply with ACCELERATOR.

You can start a Make.com account here and follow along. The free tier gives you enough operations to build your first three workflows without spending anything.

See you tomorrow on The Weekly Roundup.

Jordan Hale

The AI Newsroom

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