OpenAI’s Agent Builder Won’t Kill Zapier, Make, or n8n — and the Reasons Are Pretty Clear
OpenAI launched the Agent Builder and the tech community lost its mind. The promise was big: a tool capable of creating AI agents in a straightforward way, connecting workflows, automating tasks, and delivering real results for developers and businesses. The Agent Builder arrived as a direct response to the growing demand for intelligent automation — the kind of solution everyone wanted but few could build without a solid technical team behind them.
But there was a catch.
Those who actually tested it in practice discovered some pretty unexpected barriers along the way, and it wasn’t just a simple error message or some random technical limitation. It was something that caught a lot of people off guard, especially those who were already excited to integrate the tool into their workflows.
One of the most talked-about tests was done using AgentKit, where a user created an agent called Content Ideation to evaluate the platform’s performance. The idea was simple: build the agent, run a preview, and see how it behaved before publishing anything. But the result wasn’t exactly what anyone expected.
The Agent Builder requires you to be a Verified Organization to run or even preview an agent before publishing it. And the verification process includes the collection of biometric information.
That’s right. Before running anything, the platform asks you to share your biometric data as part of a mandatory identity verification process for organizations. It’s not optional, there’s no way to skip this step, and it applies even if you just want to take a look at how the agent behaves before putting anything into production.
And that brought up a question a lot of people are asking right now:
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Will this kill tools like Zapier, Make, and n8n?
The short answer is no. But understanding why requires a closer look at what’s happening with Agent Builder’s integrations, what the real blockers are for users, and where the already-established platforms still hold a massive advantage. 🤔
The Two Problems Holding Back Agent Builder Adoption
Those who tested the Agent Builder ran into two obstacles right out of the gate, and both are tied to the same verification requirement:
- You can’t run your agent. Even after building the entire structure, defining the workflows, and configuring the responses, the platform simply won’t let you run the agent without first completing the organization verification process.
- You can’t even preview the agent before publishing. This is probably the most frustrating part. Without verification, you can’t test anything. You’re building the agent in the dark, with zero feedback on how it’s performing, until you sort out all the identity bureaucracy.
When you click Verify your Organization, you’re directed to a verification page. After kicking off the process with the Start ID Check button, the real requirement appears: sharing biometric information.
For many developers and professionals who tested the tool, this was the breaking point. The idea of sharing biometric data just to use an AI agent didn’t sit well — and for good reason. Concerns about privacy and personal data protection are legitimate, especially in a landscape where regulations like LGPD in Brazil and GDPR in Europe set clear limits on the collection and use of this type of information.
What the Biometric Verification Required by Agent Builder Actually Is
When OpenAI implemented the biometric requirement in Agent Builder, the decision didn’t come out of nowhere. The company has been increasingly investing in identity verification mechanisms since it started scaling its products for enterprise use. The process works through a partnership with third-party identity verification services, where users need to confirm who they are through biometric data, such as facial recognition, before they can access certain platform features. It’s an extra security layer that goes beyond a simple password login or two-factor authentication.
The reasoning behind this decision makes sense when you think about the context. AI agents have access to data, systems, and workflows that can be extremely sensitive. Imagine an agent connected to a company’s CRM system, corporate email, or even financial APIs. If just anyone could create, test, and publish these agents without any robust verification process, the risk of misuse would be enormous. OpenAI clearly decided it would rather introduce intentional friction into the process than deal with the consequences of a platform that’s too wide open.
But in practice, that friction is generating real frustration. Many developers reported difficulties completing the biometric verification process, whether due to issues with the third-party identity service or because the company they work for has internal policies that make sharing this kind of data complicated. Others simply don’t feel comfortable providing biometric information to access a development tool — which is a legitimate and understandable concern. The result is that a significant chunk of people who wanted to test Agent Builder got stuck well before they could actually create anything. 😅
Agent Builder Integrations and the Real Blockers
Beyond the biometric barrier, those who managed to get past the verification process found other challenges. The Agent Builder‘s integrations are still at a very early stage, which means the list of available native connectors is considerably smaller than what you’ll find on established platforms like Zapier, Make, or n8n. While those tools offer hundreds or even thousands of ready-to-use integrations, Agent Builder works with a more limited set for now, which significantly restricts the immediate use cases for anyone who needs to connect the agent to specific day-to-day systems.
Another point that’s been drawing complaints is the learning curve for setting up the integrations that do exist. Even the available connections require a level of configuration that isn’t exactly plug-and-play. Anyone expecting an experience as smooth as dragging and dropping automation blocks will need to adapt to a somewhat more technical approach, at least for now. That doesn’t mean the tool is bad — it means it’s still maturing and the gap between the promise of simplicity and the reality of use still needs to be narrowed by OpenAI in upcoming updates.
It’s worth pointing out that some of these blockers are expected for any product that just came out of the oven. Agent Builder isn’t a platform with years of refinement based on feedback from millions of users, like the more established automation tools. OpenAI is clearly prioritizing security and control in this initial phase, even if it costs some friction in the user experience. The question is whether that tradeoff will pay off in the long run, or whether the company will lose momentum precisely by putting up so many barriers at the start of the developer journey. 🧐
Why Zapier, Make, and n8n Aren’t Going Anywhere Anytime Soon
The idea that OpenAI’s Agent Builder will replace the major automation platforms overestimates where the product is today and underestimates how deeply these tools are embedded in the workflows of companies around the world. There are at least three very strong reasons to believe these platforms will keep going strong:
Robust Integrations and Lots of Them
Zapier, Make, and n8n have rock-solid integrations and plenty of them. Zapier, for example, has thousands of native connectors covering virtually every relevant application on the market. Make offers a powerful visual approach with hundreds of ready-made integrations. And n8n, while it has a smaller community, also delivers a respectable and constantly growing catalog. That breadth of connections is something Agent Builder simply can’t replicate overnight.
Ease of Use, Even for Non-Technical Users
Zapier and Make were designed from day one with non-technical users in mind. Visual interfaces, accessible tutorials, and a gentle learning curve are hallmarks of these platforms. Marketing professionals, project managers, and entrepreneurs can create complex automations without writing a single line of code. Agent Builder, at least at this stage, still requires a level of technical knowledge that limits the audience who can fully take advantage of the tool.
n8n Can Run Locally or Be Self-Hosted
This is a huge differentiator for n8n that a lot of people underestimate. The base version of n8n can run locally on your machine or be hosted on a server you control, outside the n8n official cloud environment. For companies with serious concerns about data privacy and compliance, the ability to keep everything in-house is an irresistible argument. Agent Builder, for now, doesn’t offer anything like that, and the biometric requirement only reinforces the perception that OpenAI wants to maintain tight control over who uses the platform and how.
Coexistence, Not Replacement
Beyond the practical points, there’s an important philosophical difference between what Agent Builder aims to be and what these automation platforms do. Zapier, Make, and n8n are essentially workflow orchestration tools between applications. They take a trigger in one system and fire an action in another, in a linear and predictable way. Agent Builder, on the other hand, proposes something more sophisticated: agents that reason, make decisions, and execute tasks more autonomously. These are products with partially overlapping purposes, but they’re not identical — and understanding that distinction is key to avoiding an unfair comparison.
The most likely scenario isn’t replacement, but coexistence and even complementarity. Many teams will continue using Zapier or n8n for simple, straightforward automations while exploring Agent Builder for use cases that demand more intelligence and adaptability. When OpenAI expands its integration catalog and makes the verification process less bureaucratic for end users, it’s very possible that Agent Builder will gain ground in the more complex layers of enterprise automation. But that’s still going to take time, and the already-established tools have plenty of room to keep growing while it happens. 🚀
What to Expect from OpenAI’s Next Moves with Agent Builder
OpenAI has a track record of iterating quickly on its products, and Agent Builder should be no different. The biometric requirement as a barrier to entry will likely be refined over time, whether by making the process simpler and more accessible or by creating alternative verification options for contexts where biometric data collection isn’t feasible. The company knows that excessive friction during onboarding is one of the biggest enemies of adoption, and the negative feedback on this point is already loud enough not to go unnoticed.
On the integrations side, the expectation is that the connector catalog will grow at an accelerated pace over the coming months. OpenAI has the resources, partnerships, and a massive developer base to fuel that growth, and connecting Agent Builder to more platforms is an essential condition for the tool to become truly competitive in the intelligent automation market. Each new integration is one more reason for teams to consider migrating part of their workflows to the OpenAI ecosystem, especially as the agents’ reasoning capabilities start to surpass what any traditional automation can deliver.
The launch of Agent Builder, even with its initial stumbles, is a clear signal that OpenAI wants to go far beyond chatbots and language models accessed through APIs. The company is building a product layer that competes directly with the automation and productivity market, and the biometric verification requirement shows it’s taking seriously the responsibility that comes with agents acting autonomously in real-world systems.
If the execution matches the ambition, Agent Builder has everything it takes to become one of the most important tools in the AI ecosystem over the next few years. But for now, anyone who relies on dependable automations in their daily workflow can rest easy: Zapier, Make, and n8n keep delivering exactly what they promise — without asking for your biometrics to do it. 💡
