Did ChatGPT Just Kill n8n, Make & Zapier?
Oct 08, 2025
🤯 Did ChatGPT just kill n8n, Make, and Zapier—all in one update?
OpenAI’s new AgentKit dropped, and it might be the biggest leap in no-code AI development since GPT-4.
This update doesn’t just write prompts. It builds entire AI agents with a full-stack ecosystem behind them.
The Chaos Before AgentKit
If you’ve ever tried to build your own AI agent, you know the pain:
- Manual prompt tuning that breaks with one wrong token
- Missing connectors and flaky APIs
- Debugging workflows with zero version control
- Endless frontend tweaks that never look right
Every setup felt duct-taped together.
Enter AgentKit
Now, OpenAI gives you a visual layer for agentic development—something that feels like n8n and Make had a child trained on GPT-5.
Here’s what’s inside:
🤖 Agent Builder
A full visual canvas for building, testing, and deploying agents.
You can connect nodes, logic, datasets, and guardrails all in one workspace.
Even better—preview runs, track changes, and collaborate in real time.
🗂️ Connector Registry
A unified dashboard for managing everything your agent touches.
Google Drive, SharePoint, Dropbox, Teams—governed and versioned like an internal API library.
💬 ChatKit
Embed conversational agents straight into your app or website.
Custom UI, streaming responses, and brand controls included.
You get a plug-and-play chat layer in minutes instead of days.
📊 Evals 2.0
Measure how your agents actually perform using datasets and auto-grading.
You can tweak prompts and fine-tune reinforcement scores directly inside the playground.
The result? Ramp, LY Corp, and other early adopters built production-ready agents in under two hours.
The Catch: Closed Ecosystem
So… does this kill n8n, Make, or Zapier?
Not quite.
While AgentKit simplifies the workflow, it locks you into OpenAI’s ecosystem.
That means no Gemini 2.5, Claude 4.5, or open-source models.
You’re limited to what OpenAI decides to support.
And that’s where n8n still dominates.
It’s open.
You can plug in any model, any API, and any system.
It’s integration-first — not platform-dependent.
You keep full control over your data, logic, and stack.
Final Take
AgentKit is incredible for speed.
But real automation isn’t just about speed — it’s about control.
If you’re building serious AI systems that run your business, flexibility wins every time.
Use AgentKit to experiment.
Use n8n to scale.
Want the Exact Workflow?
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Your next automation isn’t an experiment — it’s already built.
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