Zapier vs n8n vs Make vs Lindy vs Relay: the best AI automation tools in 2026

Automation tools used to be about moving a row from one app to another. Now every one of them has AI steps, and several have agents that decide what to do on their own. That makes the comparison more interesting and the choice more consequential, because you will build a lot on whichever one you pick.

The short version

• Easiest for most teams: Zapier. The biggest app library, the gentlest learning curve, and good AI steps.
• Most powerful and cheapest at scale: n8n. Self-hostable, developer-friendly, proper AI agent nodes.
• Best for complex branching logic on a canvas: Make.
• Best AI assistant for email, calendar and leads: Lindy.
• Best when a human must approve before the risky step: Relay.app.
• Best for data pipelines with AI: Gumloop.

Pick by who is building

The right tool depends less on features than on who will maintain the automations in six months.

A marketer or ops person with no code: Zapier or Lindy. You will be productive in an hour and never need a developer.

An ops team that likes diagrams: Make. The visual canvas makes complex flows legible.

A developer or a team with one: n8n. You get code when you want it, a visual editor when you do not, and no per-task pricing surprises.

A team automating decisions, not just data: Relay.app or Gumloop, depending on whether the bottleneck is approval or data volume.

Zapier: the default for a reason

Zapier connects more apps than anything else, and its AI features are well-judged: AI steps to classify, extract or draft inside a workflow, Copilot that builds zaps from a sentence, and agents for open-ended tasks. The editor is forgiving, errors are readable and there is a template for almost everything.

The cost is cost. Per-task pricing gets expensive once you automate anything with volume. Many teams start on Zapier and move heavy workflows to n8n later.

n8n: the one developers choose

n8n is open source, self-hostable and built for people comfortable with data. Its AI agent nodes are the most capable of any platform: you can give an agent tools, memory and guardrails inside a workflow. Pricing on the hosted version is by execution rather than per step, which is far cheaper for complex flows.

The learning curve is real. You will see JSON. For a technical team that is a feature; for a marketing team it is a wall.

Make: logic on a canvas

Make's visual canvas is the best way to understand a complicated flow with branches, loops and error handlers. AI modules cover the usual drafting and classification, and pricing sits between Zapier and n8n. It is the tool for people who think in flowcharts.

Lindy: AI employees, not workflows

Lindy inverts the model. Instead of building flows, you set up an assistant: "triage my inbox", "qualify inbound leads and book meetings", "take notes and send follow-ups". It connects to your tools and handles the steps itself. For email-heavy roles it replaces a surprising amount of work.

It is less suited to deterministic data plumbing. Use it for the human-shaped tasks and a workflow tool for the rest.

Relay.app: automation with a checkpoint

Relay's distinctive feature is human-in-the-loop steps. An AI drafts the reply, and a person approves before it sends. A workflow enriches a lead, and a manager picks the owner. For any automation that touches customers or money, that checkpoint is the difference between adopting it and being scared of it.

Gumloop: AI data pipelines

Gumloop is a canvas for AI-heavy data work: scrape pages, extract fields with a model, enrich, summarise and route the results. It is popular with ops and growth teams who used to do this in spreadsheets and scripts.

Bardeen and Manus: the browser and the generalist

Bardeen automates the browser itself: scrape a page, fill a form, push to the CRM, triggered from any site. Manus is a general agent you hand a whole task to; it browses, codes and delivers a finished result. Both are useful at the edges; neither is where you build your core operations.

A sane way to start

1. Write down the three tasks you repeat most. Not the clever ones, the boring ones.
2. Build them in Zapier or Make in an afternoon. You will learn whether automation fits your team.
3. When a workflow gets expensive or complex, rebuild it in n8n.
4. Add Relay-style approvals before anything that emails a customer.
5. Only then consider agents. Agents amplify whatever process you give them, including the broken parts.

The best automation tool is the one your team will still maintain next year. Pick for the maintainer, not the demo.