Every week someone asks me which automation platform to use. My answer is always the same: it depends on what you're building, your technical comfort level, and whether you intend to build AI agents specifically — or just basic automations.
We've built production automations and AI agents on all three platforms. Here's our honest, opinionated take.
For AI agents: n8n wins. For simple business automations: Zapier is fastest to start. For mid-complexity visual workflows: Make hits the sweet spot. Read on for why.
The Quick Comparison
| Category | n8n | Make | Zapier |
|---|---|---|---|
| Free tier | Unlimited (self-hosted) | 1,000 ops/mo | 100 tasks/mo |
| Paid pricing | From $20/mo (cloud) | From $10.59/mo | From $19.99/mo |
| Native AI Agent node | ✓ Yes (LangChain) | ~ Partial | ~ Basic |
| Custom code support | ✓ Full JS/Python | ~ Limited JS | ✗ Very limited |
| Self-hosting | ✓ Yes | ✗ No | ✗ No |
| Learning curve | Moderate | Low–Moderate | Very Low |
| App integrations | 450+ | 1,000+ | 7,000+ |
| Error handling | ✓ Excellent | ✓ Good | ✗ Weak |
n8n — Our First Choice for AI Agents
n8n is the only platform of the three with a purpose-built AI Agent node powered by LangChain. This isn't a simple OpenAI text completion — it's a full agent loop with tool use, memory, and reasoning.
What makes n8n stand out for AI
- Native LangChain integration — AI Agent, vector stores, embeddings, memory nodes are all first-class citizens
- Full code nodes — When the visual editor isn't enough, drop into JavaScript or Python with access to all node data
- Self-hostable — Keep your data on your own server; critical for enterprise and regulated industries
- Cost-effective at scale — Self-hosted means no per-operation pricing; pay only for your server
- Strong error handling — Built-in retry logic, error trigger nodes, and execution logs
Where n8n falls short
- Fewer native integrations than Zapier (but HTTP Request node covers almost anything)
- Self-hosting adds DevOps overhead (though n8n Cloud removes this)
- Steeper initial learning curve than Zapier
Best for: teams building AI agents, developers comfortable with configuration, anyone needing self-hosting, and anyone running high volumes who can't afford per-operation pricing.
Make (formerly Integromat) — Best Visual Workflow Builder
Make's circular, visual workflow builder is genuinely beautiful and more intuitive than n8n for non-technical users. It excels at complex multi-path automations with lots of conditional logic.
Where Make shines
- Visual data mapping — Seeing data flow between modules is much clearer in Make than in n8n
- Error handling and routing — Built-in error routes and fallback paths are easy to configure
- 1,000+ integrations — Significantly more native connectors than n8n
- AI modules — OpenAI, Anthropic, and other AI services available as modules
- Generous free tier — 1,000 operations per month is plenty for testing
Where Make falls short for AI agents
- No native AI Agent node — you're calling OpenAI APIs manually, not using an agent loop
- Limited code execution — can run basic JavaScript in a module but not full agent logic
- No self-hosting option — all data goes through Make's servers
- Pricing can escalate quickly with high operation counts
Best for: non-technical operators who need more power than Zapier, teams building complex multi-path automations, and businesses with many app integrations to connect. Not the best choice if AI agents are your primary goal.
Zapier — Fastest Path to Simple Automations
Zapier remains the most accessible automation tool on the market. If you need to connect two apps with a simple trigger-action pattern and want it done in 10 minutes, nothing beats it.
Where Zapier wins
- 7,000+ integrations — The largest app library by far; if an app has a public API, Zapier probably supports it
- Ease of use — Non-technical users can build their first Zap in under 5 minutes
- Zapier AI — A growing suite of AI features, including an AI chatbot builder and AI steps
- Reliability and support — Excellent uptime, well-documented, large community
Where Zapier falls short
- Expensive at scale — pricing jumps steeply; 50,000 tasks/month costs $299/month
- Limited logic and branching — multi-path conditional flows require Paths (paid tier)
- No native AI agent loop — AI features are add-on steps, not a reasoning system
- No self-hosting, limited data control
- Weak error handling compared to n8n and Make
Best for: small businesses with simple trigger-action needs, non-technical teams who need maximum integrations, and anyone in the "just connect these two apps" use case. For serious AI agent work, you'll outgrow it quickly.
What We Use at Xelionlabs
For client work, we default to n8n — specifically self-hosted n8n on a VPS or cloud instance. The AI agent capabilities, self-hosting flexibility, and zero per-operation cost make it the right fit for production agents processing hundreds or thousands of events per day.
We use Make when a client already has it deployed and needs a new workflow, or when the use case is a pure automation (no AI reasoning required) with many third-party integrations.
Zapier we recommend to clients who are just starting out and need something running in under an hour — but we set the expectation upfront that they'll likely migrate to n8n or Make as their needs grow.
If you're building AI agents: start with n8n. The LangChain integration is genuinely powerful, the self-hosting option keeps costs low, and the community is growing fast. If you get stuck, we're happy to help.
Explore Further
Go deeper on each tool and the comparisons that matter most: