Zenfox vs Make in 2026: When a Scenario Builder Isn't Enough
Make is good at what it does. The problem shows up when you need something more than a scenario. When the work you're trying to automate isn't a clean trigger-and-action chain — when it spans multiple tools, requires judgment at each step, and needs to produce a finished deliverable rather than just shuffle data around.
- Make Is a Scenario Builder. That's Not an Insult.
- What Zenfox Does Differently
- Side-by-Side Comparison
- Where Make Still Wins
- Where Make Falls Short
- Who Should Use Zenfox Instead
- The Deeper Question
- FAQs
Make is genuinely good at what it does. The visual canvas is intuitive, the pricing undercuts Zapier by a meaningful margin, and 3,000-plus integrations cover most of what a small business actually needs. If you want to move data from one place to another on a schedule, Make handles it well.
The problem shows up when you need something more than a scenario. When the work you're trying to automate isn't a clean trigger-and-action chain — when it spans multiple tools, requires judgment at each step, and needs to produce a finished deliverable rather than just shuffle data around.
That's where Make stops. And where a different category of tool begins.
Make Is a Scenario Builder. That's Not an Insult.
Make's architecture is built around scenarios: visual flowcharts where you connect modules, define conditions, and map data fields. You can build sophisticated logic. You can branch, filter, iterate. For structured, repeatable data pipelines, it works.
But at its core, Make is a scenario builder. You define every step. You map every field. You maintain every module when an API changes or a data format shifts. The intelligence in a Make scenario is yours — built in, locked in, and brittle if anything upstream moves.
Make's AI agent builder, Maia, is in beta as of 2026. It is not production-ready for autonomous execution. So when you're evaluating Make as an "agentic" platform right now, you're evaluating a promise, not a product.
The Operations Credit Problem
Make's pricing looks attractive until you do the maths. You pay per operation, and a single complex task can consume 3 to 8 operations depending on how many modules it touches. A task that costs one unit in Zenfox may cost six in Make. The headline price is lower. The effective cost per outcome often isn't.
This isn't a gotcha. It's an architectural reality. Make counts steps. Zenfox counts goals.
What Zenfox Does Differently
Zenfox is not a scenario builder. It's an agentic AI automation platform. That distinction matters.
You describe a goal in plain language. Zenfox breaks it into steps, runs each step across your connected tools, and stages the finished output for your review before anything touches a live system. No canvas. No module mapping. No field-by-field configuration.
The agents run in the background, around the clock. They connect to over 3,000 tools — Gmail, Slack, HubSpot, Google Drive, Notion, GitHub, Stripe, Shopify, Airtable, Twilio, OpenAI, and more. You don't configure the connections manually. You name an API or paste its documentation, and Zenfox handles authentication, schema generation, and credential storage automatically.
Managed Projects vs Scenarios
Make gives you scenarios. Zenfox gives you Managed Projects.
A Managed Project takes a goal — "research the top five competitors in our space, pull their pricing pages, and draft a comparison report in Google Docs" — and executes it end-to-end. The agent moves across tools, adapts as it works, and produces a finished deliverable. You review it. You approve it. Then it goes.
That is not a scenario. A scenario can't adapt mid-execution. A scenario can't produce a report. It fires steps in sequence and stops.
Human Approval Is Built In
Make fires and forgets. Once a scenario runs, it runs. There are no native approval gates for multi-step background work.
Zenfox stages every agent output for your review before any action is taken on a live system. That's not a limitation — it's how autonomous execution should work when the stakes are real. A drafted email to a client, a CRM update, a Slack message to your team: you see it first.
Side-by-Side Comparison
| Make | Zenfox | |
|---|---|---|
| Core model | Visual scenario builder | Agentic goal execution |
| AI agents | Maia (beta, not production-ready) | Native, production-ready |
| Setup | Module-by-module configuration | Plain-language description |
| Execution | Runs defined steps | Pursues defined goals |
| Human approval gates | None | Built in for every output |
| Pricing model | Operations credits | Per automation / project |
| Free tier | Limited | Unlimited connectors, no credit card |
| API connection handling | Manual | Automatic |
| Native messaging channels | None | Telegram, Discord, iMessage, WhatsApp, SMS |
| Background agents | No | Yes, 24/7 |
| Deliverable generation | No | Reports, apps, drafts, data |
Where Make Still Wins
This isn't a one-sided verdict. Make is the right tool in specific situations.
If you have a developer or a technically confident ops person who enjoys building visual logic, Make's canvas is genuinely powerful. Complex conditional branching, multi-path scenarios, and data transformation pipelines are well-served by its module system.
If you're running high-volume, low-complexity data pipelines where operations cost is your primary concern and the logic never changes, Make is cost-effective.
And if you're already deep in Make with stable scenarios, the switching cost may not be worth it for simple automations.
Make is a capable tool. The question is whether your work fits its model.
Where Make Falls Short
The friction shows up in three places.
Maintenance. When an API changes, a module breaks. You go back in, find the broken step, remap the fields, test the scenario. This is routine Make maintenance — time spent on infrastructure instead of actual work.
Complexity ceilings. Some workflows can't be expressed as a scenario. A project that requires judgment — "look at this lead's LinkedIn, check their company size in HubSpot, decide whether to send the follow-up sequence or flag for manual review" — is not a scenario. It's a goal. Make can't pursue goals.
Agentic execution. Maia is in beta. Until it ships in a production-ready state, Make is not an agentic platform. You're building logic yourself, maintaining it yourself, and hoping nothing breaks.
Who Should Use Zenfox Instead
If you're a founder, sales lead, or operations manager at a company with 2 to 15 people — and you've already tried Make and found yourself spending more time maintaining scenarios than running your business — Zenfox is the direct alternative.
You describe what you want done. The agents do it. You review the output. Nothing goes live without you.
The free tier starts at $0 with unlimited connectors and no credit card required. Pro is $29 per month for 15 automations, 15 Managed Projects, and 2 background agents. That's less than Lindy's entry price, with broader tool coverage and structured approval gates that Lindy doesn't offer.
If you want to see what agentic automation actually looks like in practice, the Zenfox blog covers real automation workflows worth reviewing before you decide.
And if you're coming from a chatbot-first mindset, the gap between a conversational AI and an autonomous agent is worth understanding. The ChatGPT vs Zenfox comparison covers that directly.
The Deeper Question
Make asks: "What steps do you want to automate?"
Zenfox asks: "What do you want done?"
Those are different questions. The first requires you to know the steps, map the logic, and maintain the system. The second requires you to know the outcome. For most people running a business, the second question is the one that actually matters.
Scenario builders were the right answer for a long time. They're still useful. But if the work you need automated requires judgment, spans multiple tools, and needs to produce something finished — not just move data from A to B — a scenario builder is the wrong architecture.
Zenfox is SOC 2 certified, GDPR compliant, and uses AES-256 encryption via Infisical for credential storage. The agents run on your real tools. The outputs wait for your approval.
That's what execution looks like. See it at zenfox.ai.
FAQs
Is Make better than Zenfox for simple automations? For straightforward, stable data pipelines where you want visual control over every step, Make is a capable and cost-effective choice. Zenfox is the stronger option when your work requires judgment, spans multiple tools, or needs to produce finished deliverables rather than just transfer data.
Does Make have AI agents in 2026? Make's AI agent builder, Maia, is in beta as of 2026 and is not production-ready for autonomous execution. Zenfox's background agents are native and production-ready, running 24/7 across connected tools.
How does Zenfox pricing compare to Make? Make charges per operation, and a single complex task can consume 3 to 8 operations depending on the scenario. Zenfox charges per automation and project. The free tier includes unlimited connectors at $0 with no credit card required. Pro is $29 per month. Once you account for Make's operations credit model, the effective cost per outcome is often lower with Zenfox.
Can Zenfox replace Make entirely? For most small business and solo operator use cases, yes. Zenfox covers the same integration surface with over 3,000 connected tools, adds autonomous goal execution, and removes the need to build and maintain scenario logic manually. If you rely on Make's visual canvas for complex conditional logic and have the technical resource to maintain it, running both in parallel during a transition is a reasonable approach.
Does Zenfox require technical setup to connect APIs? No. You name an API or paste its documentation, and Zenfox handles authentication, schema generation, and credential storage automatically. Make requires manual module configuration and field mapping for each integration.
What happens if a Zenfox agent makes a mistake? Every agent output is staged for your review before any action is taken on a live system. Nothing is sent, updated, or committed without your approval. This is built into the platform architecture — not an optional setting.
Is Zenfox secure enough for business use? Zenfox is SOC 2 certified and GDPR compliant. Credential storage uses AES-256 encryption via Infisical. OAuth and API key authentication are handled automatically. For enterprise requirements, Zenfox offers on-premises storage and a dedicated data enclave.