AI agent builders promise that anyone can create software that reads emails, researches leads, updates the CRM and answers customers on its own. Four platforms come up most often for small and mid-sized teams: n8n, Lindy, Relevance AI and Gumloop. They look similar in demos, but they are built for different people. Lindy is an AI assistant you configure in plain language. Relevance AI is a platform for building teams of AI agents for sales and operations. Gumloop is a visual canvas for AI-powered workflows. n8n is a workflow automation platform with AI agent nodes, open source and self-hostable. This guide compares them on what decides whether an agent survives in production: reliability, control, cost at volume, data ownership and how much technical skill your team has.
Quick verdict. Choose Lindy if you want a personal or team AI assistant for email, meetings and scheduling with almost no setup. Choose Relevance AI if you want to build a team of AI agents for sales or support workflows without writing code. Choose Gumloop if your team thinks in flowcharts and wants AI steps for scraping, enrichment and content on a visual canvas. Choose n8n if you want agents that run inside reliable workflows, with full control of data, logic and cost, and you have someone comfortable with technical tools.
At a Glance
| n8n | Lindy | Relevance AI | Gumloop | |
|---|---|---|---|---|
| What it is | Workflow automation with AI agent nodes | AI assistant builder in plain language | Platform for teams of AI agents | Visual AI workflow canvas |
| Best for | Technical teams, production workflows | Founders and busy professionals | Sales, support and ops teams | Marketers and operators |
| Pricing model | Free self-hosted; cloud plans by executions | Credits, paid plans from roughly $30 to $50 per month | Actions plus AI credits; public page shows custom plans | Credits, Pro around $37 per month |
| Free option | Self-hosted Community edition | Trial with credits | Limited free tier reported | Limited free tier reported |
| Self-hosting | Yes | No | No | No |
| Bring your own AI key | Yes | Limited | Yes on some plans | Yes on some plans |
| Learning curve | Moderate to steep | Very low | Low to moderate | Low |
Pricing on AI agent platforms changes often, and several vendors have recently moved from plan-based to credit-based pricing. All prices here are approximate, come from public pages and third-party guides at the time of writing, and must be confirmed on each vendor's site.
The PURIST Fit Score: How We Compare Them
| Dimension | What it measures | Weight |
|---|---|---|
| Production reliability | Error handling, retries, logs, deterministic steps around the AI | 30% |
| Ease of building | Time for a non-developer to get a useful agent running | 25% |
| Cost predictability | How easy it is to predict the monthly bill as usage grows | 25% |
| Control and data ownership | Self-hosting, choice of model, where data goes | 20% |
The Head-to-Head Comparison
| Platform | Production reliability | Ease of building | Cost predictability | Control and data ownership | PURIST Fit Score |
|---|---|---|---|---|---|
| n8n | 9/10 | 6/10 | 9/10 | 10/10 | 8.5/10 |
| Lindy | 6/10 | 10/10 | 6/10 | 5/10 | 6.8/10 |
| Relevance AI | 7/10 | 8/10 | 6/10 | 6/10 | 6.8/10 |
| Gumloop | 7/10 | 8/10 | 7/10 | 6/10 | 7.1/10 |
Our weights favour what matters for business operations that run every day. If your priority is speed of setup for a personal assistant, Lindy moves to the top. If you are a non-technical team building sales agents, Relevance AI and Gumloop are closer to n8n than the score suggests.
What "AI Agent" Really Means on Each Platform
The word agent covers very different things. On Lindy, an agent is an assistant with instructions, triggers and skills, such as reading your inbox and drafting replies. On Relevance AI, an agent is a worker with a role, tools and knowledge, and several agents can hand tasks to each other. On Gumloop, the core unit is a flow, a sequence of nodes where some steps call an AI model, with agent features on top. On n8n, an AI agent is a node inside a workflow: the model decides which tools to call, and the rest of the workflow handles triggers, data, approvals and errors in fixed steps.
This difference matters. In production, the most reliable setups usually let the AI handle judgement, such as classifying, summarizing or drafting, and keep everything else deterministic. Our guide to AI agents in production explains why.
Platform by Platform
n8n
n8n is a workflow automation platform with hundreds of integrations, a code node for JavaScript or Python, and AI nodes for agents, chains, memory, vector stores and tools. You can use OpenAI, Anthropic, Google, Mistral, OpenRouter or local models. It can run on n8n's cloud or on your own server, which keeps data under your control and makes cost largely independent of how many steps an agent takes.
Strengths: production features such as error workflows, retries, execution logs, version history and human approval steps; self-hosting; any model; no per-step AI markup when you use your own key.
Limits: the learning curve is real for non-technical users, and self-hosting means maintaining a server. See our step-by-step guide to building an AI agent with n8n and Claude.
Lindy
Lindy lets you create AI assistants by describing what you want in plain language. Typical uses are inbox triage, email drafting, meeting notes, scheduling, lead follow-up and phone or chat assistants. It comes with many integrations and templates, and the setup time is the shortest of the four.
Strengths: very fast to start, strong for personal productivity and simple team assistants, polished templates.
Limits: credit-based pricing makes heavy use harder to predict, logic is less controllable than in a workflow tool, and there is no self-hosting. Paid plans are reported from roughly $30 to $50 per month for the entry tier, with higher tiers around $100 and $200 per month; check Lindy's pricing page.
Relevance AI
Relevance AI focuses on building an "AI workforce": agents with defined roles, such as a sales development rep that researches leads and writes outreach, or a support agent that triages tickets. Agents use tools, knowledge bases and can work together, and the platform is designed for business teams rather than developers.
Strengths: strong for sales and go-to-market use cases, multi-agent setups without code, good templates for research and outreach.
Limits: pricing has changed several times and combines platform actions with AI usage, so the real cost depends heavily on volume. Its public pricing page currently emphasizes custom plans, while older public plans started around $19 to $29 per month. Confirm before committing.
Gumloop
Gumloop is a visual canvas where you connect nodes for data sources, AI steps, web scraping and outputs. It is popular with marketing and operations teams for lead enrichment, content workflows, scraping and reporting, and it now includes agent features and a browser extension.
Strengths: easy to understand visually, strong scraping and data-processing nodes, good for marketers who want more than a chatbot.
Limits: credit-based pricing, reported at around $37 per month for the Pro plan with a fixed credit allowance, means heavy flows can consume credits quickly; no self-hosting.
The Real Cost Comparison Nobody Publishes
Agent platforms charge for the work the AI does, so the bill depends on how many tasks run and how many steps each takes. Here is an illustrative scenario: an agent that processes 1,000 inbound leads per month, enriching each one, scoring it and drafting a first reply. These are rough estimates for planning, not quotes.
| Cost item | n8n (self-hosted) | Lindy | Relevance AI | Gumloop |
|---|---|---|---|---|
| Platform | Server around $20 to $80 per month | Paid plan, likely mid or higher tier at this volume | Paid plan plus actions | Pro plan, possibly extra credits |
| AI model usage | Paid directly to the model provider, often $10 to $60 per month with efficient models | Included in credits, with platform markup | AI credits or your own key | Included in credits or your own key |
| Setup effort | Highest | Lowest | Low to moderate | Low |
| Bill predictability | High | Moderate | Moderate | Moderate |
The pattern holds in most cases: hosted agent builders cost more per task but save setup time, while n8n costs more time upfront and much less per task at volume. For the hosting side of n8n, see our n8n cloud vs self-hosted pricing guide.
Hidden Costs and Traps
Credits run out faster than expected. An agent that loops, retries or browses the web can use many credits on a single task. Set limits and test on real volume before you commit.
Model choice drives cost. The same agent can cost ten times more on a frontier model than on an efficient one. Platforms that let you choose the model, or use your own key, give you control.
Agents fail silently. Without logs, alerts and human review steps, an agent can send wrong emails or write bad data for days. Check what each platform offers for monitoring before you go live.
Lock-in is real. Agents built in a hosted platform rarely export to another one. Keep your prompts, knowledge and business rules documented outside the tool.
Data sensitivity. Customer data passes through the platform and the model provider. Check data retention, region and compliance before connecting your CRM or inbox.
Which Platform Fits Which Business
- Solo founder who wants an assistant for email and meetings: Lindy.
- Sales team that wants AI research and outreach agents without developers: Relevance AI.
- Marketing team that wants enrichment, scraping and content flows: Gumloop.
- Business with recurring, high-volume operations and someone technical: n8n.
- Company with strict data requirements or a need for self-hosting: n8n.
- Agency building agents for several clients: n8n, or Relevance AI for teams without developers.
Where n8n Fits in the Picture
Many teams end up combining tools: a hosted assistant for personal productivity, and n8n for the business workflows that must run reliably every day, such as lead routing, invoice processing, support triage and reporting. Because n8n keeps the AI inside a workflow with fixed steps, approvals and logs, it is the easiest to trust with operations that touch customers and money. Our guide to multi-agent orchestration and our collection of real AI agent examples show what this looks like in practice.
How to Choose in Five Questions
- 1 Is this a personal assistant, or a business process that runs every day?
- 2 Who will build and maintain the agent, and how technical are they?
- 3 How many tasks per month will it handle, and what will each one cost in credits or model usage?
- 4 What data will it touch, and where must that data stay?
- 5 What happens when the agent is wrong, and how will you know?
Frequently Asked Questions
What is the best AI agent builder for small businesses?
It depends on the use case. Lindy is the fastest for personal assistants, Relevance AI for sales and support agents without code, Gumloop for visual AI workflows, and n8n for reliable, high-volume business automation with full control.
Is n8n better than Lindy?
They serve different needs. Lindy is easier and faster for assistants that handle email, meetings and scheduling. n8n is more powerful and cheaper at volume for business workflows, but it requires more technical skill.
How much does Relevance AI cost?
Relevance AI's pricing combines platform actions and AI usage, and its public page currently focuses on custom plans. Older public plans started around $19 to $29 per month. Confirm current pricing with Relevance AI before you commit.
How much does Gumloop cost?
Gumloop's Pro plan has been reported at around $37 per month with a fixed credit allowance, and Enterprise plans are custom. Check Gumloop's pricing page for current figures and free tier details.
Can I self-host an AI agent builder?
Of the four, only n8n can be self-hosted. Self-hosting keeps data on your own infrastructure and lets you use any model, including local ones.
Do I need to know how to code?
No for Lindy, Relevance AI and Gumloop. n8n can be used without code, but comfort with technical concepts such as JSON, APIs and webhooks helps a lot, and the code node is available when needed.
Which AI models can these platforms use?
All four support major models such as those from OpenAI and Anthropic, with varying choice. n8n supports the widest range, including OpenRouter and local models, and lets you use your own API keys.
Are AI agents reliable enough for customer-facing work?
They can be, with the right design: the AI handles judgement, fixed workflow steps handle the rest, a human reviews sensitive actions, and logs and alerts catch errors. Start with internal tasks, measure accuracy, then expand.
Sources and Further Reading
Pricing and features reflect public vendor pages and third-party reviews at the time of writing, and several vendors change their pricing frequently. Confirm details on n8n, Lindy, Relevance AI and Gumloop. For context on where AI agents fit in operations, read what agentic AI means for business operations.
To find which of your processes an AI agent can actually take over, and build it so it runs reliably, book a free automation audit.
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Purist Team
The PURIST editorial team covers automation, AI agents, and operations strategy for businesses scaling with n8n, Make, and Claude AI.
