Hapex AI vs Make.com.
Make is scenarios you build and maintain. Hapex is one Operator that knows your business better than you do and runs it for you. Here's where each one fits.
Make is the power user's Zapier. Hapex is the employee that knows your business and runs it.
Make.com is genuinely better than Zapier at complex linear-ish plumbing. The scenario graph supports loops, aggregators, iterators, and proper error handling. Power users get real leverage out of it. But every path is still yours to draw, and the graph knows nothing about your business.
Hapex is a different category. It's one always-on Operator that learns how your business works, remembers every customer and order, sees every connected account at once, works 24/7, asks before anything risky, and gets sharper at your business every week. It is your new best employee, not a graph you maintain.
Side by side.
| Dimension | Make.com | Hapex AI |
|---|---|---|
| What you get | A visual scenario graph you build, wire, and maintain. | One Operator that learns your business and runs it for you. |
| Knows your business | No. A scenario only knows the fields you mapped into it. | Yes. It learns how everything works and remembers every detail. |
| Handles the messy real world | Only if you encoded the branch. A new shape of input means a new branch. | It understands the situation and adapts. No new branch to wire. |
| Writes in your voice | Only via a paid LLM module bolted onto the scenario. Quality depends on prompt-engineering inside the module. | Native. It knows your customers and your tone, so replies, summaries, and outreach sound like you. |
| Pricing model | Per-operation. Forgiving until your scenarios get module-heavy. | One flat plan for one Operator. $49 to $125 a month, or pay as you go, no operation gotchas. |
| Debugging a failure | Open the run history, find the module that errored, inspect bundles. Fine when the graph has 10 modules. Painful at 40. | Single run trace with classified error kind. Auto-retry on transient errors, auto-pause on three consecutive failures. |
| Sees your accounts | 1,800+ connectors, but each scenario only touches the few you wired. | Connects to your core business apps and sees every account at once. |
| Gets better over time | No. It does exactly what you drew until you redraw it. Every edge case is a new router path. | Yes. It learns your business and gets sharper every week. No off days. |
| Who it suits | Power users who love visual logic and don't mind owning the graph. | Owners who want an employee that knows the business and runs it. |
Three scenarios that belong on Make.
Bulk data sync between systems
Iterate over every order from yesterday, transform each one, push into your accounting system, log to a sheet. Make's iterator + aggregator pattern is genuinely good at this. No reasoning needed. Use the right tool.
Webhook fan-out with transforms
One webhook in, six destinations out, each with its own field mapping. Make's router does this cleanly. Hapex would technically handle it, but you don't need reasoning for fan-out. Stay where you are.
Polling for changes and batching
Check an API every five minutes, accumulate the new rows, write them out in a batch every hour. Make's scheduler + data store handles this without breaking a sweat.
Three jobs that need an employee who knows the business.
Customer follow-up that references context
For each customer who hasn't responded in seven days, the Operator already knows their original message, their last order, and the call notes, and writes a follow-up that references the actual situation. That's not a scenario, it's an employee who remembers the customer. Make would need an LLM module wedged in the middle while the rest of the graph just feeds it. At that point you're paying for both Make and the LLM and getting half the value.
Inventory anomaly detection
Flag the SKUs about to run out, the ones moving way faster than usual, and the ones that should have moved but didn't. A Make scenario can do thresholds with a filter, but "faster than usual" requires the system to know what usual looks like for each SKU. The Operator knows, because it has watched your inventory the whole time. Judgment from memory, not graph branches.
The morning briefing
Pull from five systems and write three paragraphs telling the owner what actually matters today. A Make scenario gives you the data. It does not know your business well enough to know what matters. The Operator does, because it sees every account at once and remembers what happened yesterday. Bolt an LLM onto Make and you're back to prompt-engineering inside a graph.
"My scenarios already work. Should I touch them?"
No, mostly. The right move is additive. Here's the honest rule.
Keep on Make: Clean linear data pipes that have run for 6+ months. Iterator and aggregator scenarios. Webhook fan-outs.
Hand to the Operator: Scenarios with 25+ modules. Scenarios where you've bolted on an LLM module to do the actual thinking. Scenarios where the router has six branches and you're scared to add a seventh.
Give the Operator from day one: Anything that reads context, makes a judgment, or writes in your voice. That's employee work, and a graph would just be in the way.
Common questions.
Is Make.com better than Zapier?
For power users, often yes. Make's scenario graph supports loops, error handlers, and aggregators that Zapier's flat-trigger model struggles with. The pricing is also more forgiving at high volume. But it's still a visual graph you build and maintain, and it knows nothing about your business. Hapex is a different category: one always-on Operator that learns how your business works, remembers every detail, and runs it for you.
What can Hapex do that Make can't?
Know your business. A Make scenario follows the path you drew and forgets everything between runs. The Hapex Operator learns how your business works, remembers every customer, order, and conversation, sees every connected account at once, and decides what to do per run. It handles the messy "and-then-the-customer-says-something-weird" cases because it understands the situation, not just the trigger. Make would need a router with eight branches.
Should I move my Make scenarios to Hapex?
Hand them to the Operator. The ones that grew into a spaghetti graph, the ones where you bolted on a Custom Code or LLM module to do the actual thinking, those are work the Operator should own. It learns the outcome you want and runs it. Keep the clean linear data pipes on Make. Those are plumbing, and Make handles plumbing well.
Is Hapex cheaper than Make?
Different shape. Make charges per operation. Hapex is a flat plan for one Operator that runs your business: $49 to $125 a month, or pay as you go. For high-operation linear pipes Make is often cheaper. For the work where the Operator reads context and decides, one run replaces a 40-operation scenario and there's nothing for you to maintain.
Can Hapex import Make scenarios?
No, and that's intentional. You don't rebuild your scenario in Hapex. You tell the Operator what your business needs and it learns the rest. A 30-module Make scenario becomes a single thing the Operator already understands how to run. Importing the graph would just teach it the slow way.
Stop maintaining scenarios. Hire the Operator.
One always-on employee that learns your business, remembers everything, and runs it for you.