Comparing No-Code AI Agent Builders: n8n, RelevanceAI, OpenAI GPTs, Nuvi, LindyAI, and Lovable

Introduction

AI agents are revolutionizing the way people work. Almost all businesses, big or small, can benefit from AI agents from customer-facing chatbots to internal workflow automation. No-code platforms democratizes the ability to create AI agents so that everyone who has a use case, technical or not, can bring AI agents to life.

In this post, we'll compare six popular no-code/low-code AI agent platforms to help you choose the right tool to bring your AI agent to life.

In this post, we'll compare:

• n8n: Technical, visual workflow builder.
• RelevanceAI: Simple prompt-based agents, ops focus.
• OpenAI GPTs: Custom ChatGPTs, deployable in marketplace.
• Nuvi: Build using natural language, no learning curve, highly flexible.
• LindyAI: Prebuilt personal assistant focus.
• Lovable: UI builder, weak AI agent support.

We'll break down: how you build agents, how much you can customize them, integration flexibility, deployment options, and reliability.

n8n

n8n is a powerful visual programming language for technical users who want to avoid boilerplate code but still want full control. You build agents by connecting triggers and actions in a flowchart-like interface.

• Extreme flexibility: Build almost anything, but you need to think like a developer.
• Steep learning curve: Even simple agents require understanding logic flow, error handling, and triggers.
• Still programming: It's "low-code," not truly no-code. Best for technical users who don't want to write raw code but are comfortable with programming concepts.

As you can see in the screenshot, you need to manually add all the if, else, and loop logic—you're programming the agent visually. This can be challenging if you're not familiar with foundational programming concepts.

RelevanceAI

RelevanceAI is easy to get started with for building simple, single-prompt agents. You can describe your workflow and Relevance will turn it into the Core Prompt for the LLM Agent.

• Quick for simple agents: Great for basic, single-step automations.
• Manual chaining for complexity: Building advanced, multi-step agents requires manually chaining multiple agents & tools—a premium feature (AI workforce builder).
• Ops-focused: Good for operations users with simple workflows, but complexity rises fast for anything beyond basics.

Relevance agents are essentially a prompt. You use natural language to write out the steps and process. However, creating complex workflows that require many agents is difficult, as performance tends to degrade with longer prompts. There's no robust breakdown of tasks to handle complex workflows efficiently unless you use the AI workforce builder.

OpenAI GPTs

OpenAI Custom GPTs let you create your own version of ChatGPT with custom instructions and knowledge. The flow to create a GPT is extremely simple, you just need to chat with the GPT builder and a simple "GPT" will be born in seconds. The tradeoff is that this is the most limited platform of all the options.

• Marketplace exposure: Share your GPT with millions of users easily.
• Lives in ChatGPT: Your agent can't be embedded natively in your product or website.
• Lacks integration or customization: All other platforms mentioned here offers native integrations with common tools like Google, Slack, Hubspot, etc.

As shown in the screenshot, GPTs are essentially just a chat interface. You are building a ChatGPT with custom prompts, but there is no easy way to integrate with your own system or data. You also cannot deploy it as a background task or integrate it with your software.

Nuvi

Nuvi offers a unique approach to building AI agents: you simply describe what you want in natural language, much like briefing a human development team. There's no complex visual programming, nodes to connect, prompts to engineer, or templates to fill out. You focus purely on the requirements, and Nuvi handles the implementation.

• No learning curve: If you can describe your goal, you can build an agent. No templates, nodes, prompts, or code to learn. It eliminates the need to learn platform-specific UIs or concepts.
• Extreme flexibility as a coding agent: As a coding agent, Nuvi isn't limited to predefined blocks. It can write custom code to handle unique integrations, connect to any third-party APIs, and deploy the agent exactly how you need it—whether as a standalone API, an embeddable chat interface, or a background automation task.
• High reliability with automated testing: Nuvi is the only platform in this list that integrates automated test generation, verifying your agent works correctly before you even deploy it.

Nuvi translates your natural language requirements – your specification – into a functional agent. Think of this spec like a detailed requirements document you'd give a human team. Nuvi manages the underlying architecture, integrations, prompt optimization, and deployment based directly on this specification. This approach ensures the agent aligns precisely with your stated needs, offering a robust and clear alternative to purely chat-based builders or visual flow design.

LindyAI

LindyAI is positioned as a personal executive assistant. You can create "Lindies" for tasks like email, scheduling, and syncing data. Creating custom "Lindies" is not straightforward and requires an implementation call with the team.

• Great for personal productivity: Handles communication and scheduling well.
• Custom agents require implementation: Building anything custom requires an implementation call with the Lindy team—it's not self-serve or straightforward.
• Not ideal for DIY builders: Best if you want a ready-made assistant, not if you want to build your own agents.

Lindy is slightly easier than n8n, but you still need to map out your workflow manually on their canvas and write prompts and connect tools for each node.

Lovable

Lovable is one of the most popular vibe-coding tools out there. It excels at helping you build beautiful UIs with no or simple backends quickly. However, it's not designed for building AI agents out of the box and lacks the necessary building blocks to create a full AI agent.

• Best for UI prototyping: Great for prototyping frontend ofapps, not for AI automation.
• AI agents require workarounds: You have to manually integrate the latest LLMs, manage API keys, and build your own agent backend.
• Can be paired with a no-code AI backend: Lovable can be paired with a no-code AI Agent builders like n8n or Nuvi which can output the agent backend as an API.

Lovable excels at building frontends through an intuitive chat interface and you get to see the actual code that's generated. However, it lacks native building blocks for AI agents. It attempts to create the AI backend from scratch using LLMs, but doesn't always know about the latest models available. You may end up with a prototype AI stack that's outdated. It's best to pair Lovable's frontend with a robust AI backend if you want to build a great AI app that leverages the latest models and agent techniques.

How to Pick the Right Platform

• Easiest, most human way to build AI Agents (no learning curve): Nuvi, RelevanceAI, OpenAI GPTs
• Maximum control & customization (for technical users): n8n, Nuvi
• Building simple agents/assistants quickly: RelevanceAI, OpenAI GPTs, LindyAI, Nuvi
• Handling complex, multi-step workflows: n8n, Nuvi
• Need extensive native integrations: n8n, RelevanceAI, LindyAI, Nuvi
• Want a Q&A chatbot with marketplace exposure: OpenAI GPTs
• Need a quick prebuilt personal assistant for email/meetings: LindyAI
• Focusing primarily on building beautiful UIs: Lovable (consider pairing with Nuvi or n8n for backend)
• Highest reliability through automated testing: Nuvi

Bonus: If you're interested in building AI agents with code, check out our AI agent framework comparison.

Comparison Summary

Legend: ✅ = Strong/Yes, ❌ = Weak/No, ⚠️ = Limited/Requires Workaround