For an operations team that cannot code, start with Lindy if you want a ready-made assistant for email, meetings and research, or Zapier Agents if your work already runs through Zapier's app connections. Choose n8n or Dify if you want to self-host and own the data, Make if you want to see every step of a visual scenario, and Turbotic or Relevance AI if you are buying at enterprise scale.

The real differences are the billing unit (credits, activities, executions, actions) and what each tool does when a run fails. That second point is the one that decides whether you can trust an agent with real work.

> **Key Takeaways**
>
> - **Lindy bills in credits, and tasks vary 100-fold.** Everyday asks use 2 to 250 credits; Team starts at $49.99 a month for 5,000 credits ([Lindy pricing](https://www.lindy.ai/pricing), retrieved 2026-10-16).
> - **Zapier Agents have their own quota.** They bill in activities, 400 a month free and 1,500 on Pro, separate from Zap tasks ([Zapier help](https://help.zapier.com/hc/en-us/articles/26559132765325), retrieved 2026-10-16).
> - **n8n charges per workflow run, not per step.** Starter is €20 a month billed annually for 2,500 executions "regardless of complexity" ([n8n pricing](https://n8n.io/pricing), retrieved 2026-10-16).
> - **Dify's open-source edition is free to self-host,** but its license bars running it as a multi-tenant service without permission ([Dify license](https://github.com/langgenius/dify/blob/main/LICENSE), retrieved 2026-10-16).
> - **Human approval is documented in several tools.** Lindy asks for approval before actions that affect the outside world, and Make's agent FAQ mentions manual approvals ([Lindy pricing](https://www.lindy.ai/pricing); [Make AI Agents](https://www.make.com/en/ai-agents), both retrieved 2026-10-16).

## What an AI agent is (and isn't)

Anthropic draws the line clearly. "Workflows are systems where LLMs and tools are orchestrated through predefined code paths." Agents, by contrast, "are systems where LLMs dynamically direct their own processes and tool usage" ([Anthropic, Building effective agents](https://www.anthropic.com/engineering/building-effective-agents), retrieved 2026-10-16).

That distinction matters for an ops team. Most repetitive business work (route this form, copy that row, send this reminder) is a workflow, and a workflow is easier to trust because you can read every step. An agent earns its place where the next step depends on judgment: reading an email to decide who should handle it, or researching a company before deciding what to write.

The tools below sit at different points on that spectrum. n8n and Make started as workflow builders and added AI steps and agents. Lindy and Relevance AI started from agents. If you are new to the concept, our explainer on [autonomous agents in AI](/blog/understanding-autonomous-agents-in-ai) covers the basics, and [how AI agents are changing business automation](/blog/ai-agents-transforming-business-automation-and-work-dynamics) looks at the wider shift.

## Three agents to build during your trial

The plan for this post was to build the same three agents in every tool and report the results. Nobody at LogicBalls ran those builds, so here they are as a test plan you can run during free plans and trials. Each one checks a different failure mode.

1. **Inbox triage.** Read new emails in a shared inbox, label each by type (sales, support, billing, spam), draft a reply for support, and forward billing to finance. *Tests:* classification accuracy and whether the tool asks before sending.
2. **Lead research.** When a new lead lands in your CRM, look up the company website and LinkedIn page, write a three-line summary, and add it to the CRM record. *Tests:* web browsing, data write-back, and what happens when a website does not load.
3. **Meeting follow-up.** After a calendar meeting with a transcript, write a summary with action items, email it to attendees, and create tasks in your project tool. *Tests:* multi-app actions and duplicate prevention.

For each build, record three things: how long it took to reach a working version, what one run cost in the tool's billing unit, and what you saw when you deliberately broke it (wrong password, empty email, missing field). An agent that fails loudly is safer than one that fails silently.

## Comparison at a glance

| Tool | Billing unit | Free option | Entry paid plan (read 2026-10-16) | Self-host | Best for |
|---|---|---|---|---|---|
| Lindy | Credits | $50 of credits for 7 days | Team from $49.99/mo per active user, 5,000 credits | No | Email, meeting and research assistants |
| Zapier Agents | Activities | 400 activities/mo | Pro, 1,500 activities/mo | No | Teams already on Zapier |
| n8n | Workflow executions | Community Edition (self-hosted) | Starter €20/mo annual, 2,500 executions | Yes | Technical-leaning teams wanting control |
| Make | Credits | 1,000 credits/mo | Prices not shown to us | No | Visual, step-by-step scenarios |
| Relevance AI | Actions plus vendor credits | Free plan retired | Prices not published | No | Sales and research agent teams |
| Dify | Message credits | 200 credits; free Community Edition | Professional $590/workspace/yr | Yes | Open-source, self-hosted AI apps |
| Turbotic | Executions and automations | 100 executions, 3 automations | Basic $14.99/mo annual | On-premise on Enterprise | Enterprise automation programs |

## Lindy: best for business assistants

[Lindy](aff:lindy) is the most direct answer to "I want an AI assistant that handles my inbox and meetings" without building a workflow diagram.

**Pricing:** a free start with $50 of credits that last 7 days and no card. Team starts at $49.99 a month per active user for 5,000 credits pooled across the team, with tiers up to 1,750,000 credits. Top-ups are $10 per 1,000 credits, and monthly credits do not roll over. Lindy's own guide to credit use: 2 to 250 credits for everyday asks, 250 to 1,000 for deep work, and 1,000 to 2,500 for big builds ([Lindy pricing](https://www.lindy.ai/pricing), retrieved 2026-10-16).

**Reliability features:** actions that affect the outside world, such as sending an email or updating a ticket, need approval; read-only lookups do not. Audit logs are on Enterprise. Lindy lists "1,500+" integrations plus MCP.

**Not for:** teams that need to self-host, or that want predictable per-run costs. A task's credit cost depends on how much work the agent decides to do.

## Zapier Agents

[Zapier Agents](https://zapier.com/agents) sit on top of Zapier's catalog of "9,000+ apps", which is the main reason to choose them.

**Pricing:** Zapier Agents bill in activities, separate from the tasks your Zaps use. Free includes 400 activities a month and Pro 1,500. Each trigger, knowledge lookup, action, web browse, web search or Chrome extension message is one activity. A single run is capped at 10 activities on Free and 40 on paid plans; at the cap, the agent asks for your input. When the monthly limit runs out, agents stop running, and Zapier emails you at 80% and 100% ([Zapier help, Agents activities](https://help.zapier.com/hc/en-us/articles/26559132765325), retrieved 2026-10-16). Standard Zapier plans start at $19.99 a month billed annually for 750 tasks ([Zapier pricing](https://zapier.com/pricing), retrieved 2026-10-16).

**Not for:** high-volume agents. A lead-research run that browses three pages and writes to a CRM uses several activities, so 1,500 a month goes faster than it sounds.

## n8n: self-hostable

[n8n](https://n8n.io/) is a workflow builder with AI agent nodes, and the option for teams that want to run everything on their own servers.

**Pricing:** billed per workflow execution "regardless of complexity", with unlimited steps. Annual prices on 2026-10-16: Starter €20 a month for 2,500 executions and Pro €50 for 10,000 on n8n's cloud, and Business €667 a month for 40,000, self-hosted only. There is no free cloud plan, only a trial capped at 1,000 executions ([n8n pricing](https://n8n.io/pricing), retrieved 2026-10-16). The Community Edition is free to self-host under the Sustainable Use License, which allows use "only for your own internal business purposes or for non-commercial or personal use" ([n8n license](https://github.com/n8n-io/n8n/blob/master/LICENSE.md), retrieved 2026-10-16).

**Reliability features:** error workflows that start from an Error Trigger node and can alert you by email or Slack, a Stop and Error node to fail a run on purpose, execution history you can reload for debugging, and log streaming ([n8n docs, error handling](https://docs.n8n.io/flow-logic/error-handling/), retrieved 2026-10-16). It lists 2,367 integrations.

**Not for:** non-technical teams who want no setup. n8n is no-code in the sense that you do not write code, but you do think like an engineer.

## Make

[Make](https://www.make.com/) builds automations as visual scenarios, and its AI Agents are "available on all plans" ([Make AI Agents](https://www.make.com/en/ai-agents), retrieved 2026-10-16).

**Pricing:** Make bills in credits. "Credits replaced operations as the term for Make's billing unit"; for non-AI apps one operation is one credit, and its built-in AI provider charges by tokens ([Make help, credits](https://help.make.com/credits), retrieved 2026-10-16). The free plan includes 1,000 credits a month. The paid plans (Core, Pro, Teams, Enterprise) were named on the pricing page but their prices did not appear in the content we could retrieve on 2026-10-16.

**Reliability features:** a Reasoning panel that shows each agent decision step by step, and a FAQ that mentions manual approvals and stopping an agent at set points.

**Not for:** teams that want a chat-first assistant. Make is strongest when you can draw the process.

## Relevance AI

[Relevance AI](https://relevanceai.com/) focuses on teams of agents for sales and research work.

**Pricing:** billed in Actions plus Vendor Credits. Its docs give the monthly Pro plan as 2,500 Actions and 3,000 Vendor Credits, with top-ups at $80 per 1,000 Actions and $20 per 10,000 Vendor Credits. The free plan has been retired ([Relevance AI docs, plans](https://relevanceai.com/docs/get-started/subscriptions/plans), retrieved 2026-10-16). The public pricing page showed only Enterprise ("Talk to sales") and lists "2,000+" integrations.

**Not for:** small teams that want to start free or see a list price before talking to sales.

## Dify: open-source builder

[Dify](aff:dify) is an open-source platform for building AI apps and agent workflows, with a hosted cloud and a free Community Edition you run with Docker.

**Pricing:** billed in message credits. Sandbox is free with 200 credits, one workspace, one member and 5 apps; Professional is $590 per workspace per year for 5,000 credits a month; Team is $1,590 per workspace per year for 10,000; Enterprise is custom ([Dify pricing](https://dify.ai/pricing), retrieved 2026-10-16). The license is a modified Apache 2.0 that says "you may not use the Dify source code to operate a multi-tenant environment" without written authorization, and you cannot remove the logo or copyright from the console ([Dify license](https://github.com/langgenius/dify/blob/main/LICENSE), retrieved 2026-10-16).

**Reliability features:** a Logs tab with a node-by-node trace that "pinpoints where a run failed or slowed down", re-running a workflow with a past run's inputs, and user ratings and annotations ([Dify docs, logs](https://docs.dify.ai/en/guides/monitoring/logs), retrieved 2026-10-16).

**Not for:** teams that want hundreds of ready-made app connectors. Dify's strength is AI app logic and model choice; connecting business apps takes more setup than in Zapier or Lindy.

## Turbotic: enterprise automation

[Turbotic](aff:turbotic) is a Stockholm-based enterprise automation company. Its Automation AI product builds automations from a natural-language chat: its AI writes and tests the code, then fixes errors, and Turbotic describes "self-healing" execution. It also orchestrates across UiPath and Automation Anywhere, and offers ROI tracking, approval flows and access controls ([Turbotic Automation AI](https://www.turbotic.com/automation-ai), retrieved 2026-10-16).

**Pricing:** Free with 100 executions, 100 AI chats a month and 3 automations; Basic $14.99 a month billed annually for up to 50 automations; Pro $79.99 a month billed annually for up to 100; Enterprise custom with an on-premise option. The page was not clear on execution limits for Basic and Pro. Turbotic states ISO 27001 and SOC 2 Type II.

**Not for:** a five-person team automating a handful of tasks. Turbotic's value shows up when an organization already runs RPA and wants AI-built automations governed in one place.

## Cost per 1,000 tasks

There is no common unit, so here is what 1,000 runs would cost at each vendor's listed rates. These are calculations from the published prices, not measured costs, and a "task" means one run of one of the three agents above.

| Tool | What 1,000 runs uses | Approximate cost at listed rates |
|---|---|---|
| Lindy | 2,000 to 250,000 credits (2 to 250 per everyday ask) | $20 to $2,500 at the $10 per 1,000 top-up rate |
| Zapier Agents | Up to 40,000 activities (capped at 40 per run) | Beyond Pro's 1,500 a month; price on the Agents pricing tab |
| n8n | 1,000 executions | About €5 to €8 within a plan (€50 for 10,000; €20 for 2,500) |
| Make | Credits per step, plus AI tokens | Not calculable; prices not shown to us |
| Relevance AI | Actions per run plus vendor credits | $80 per 1,000 Actions in top-ups |
| Dify | 1,000 or more message credits | About $9.83 per 1,000 credits on Professional ($590/yr for 60,000) |
| Turbotic | 1,000 executions | Above the free tier's 100; paid limits unclear |

Three things this table shows. First, flat per-run pricing (n8n) is cheapest for high volume and simple runs. Second, credit and activity pricing (Lindy, Zapier Agents) is predictable only once you have measured what your agent actually uses, so run your trial agents and check the usage log before buying a tier. Third, model costs are often separate: self-hosted n8n and Dify still need an LLM API key, and that bill is yours.

For a broader view of vendors that build custom agents for you, see our list of [AI agent development companies](/blog/top-ai-agent-builders-for-businesses).

## Frequently Asked Questions

### What is the easiest no-code AI agent builder?

For non-technical teams, Lindy and Zapier Agents need the least setup: you describe the task, connect your apps and approve actions. Make is visual but asks you to design the flow. n8n and Dify are more flexible and can be self-hosted, but expect a steeper learning curve.

### Can I self-host an AI agent builder for free?

Yes. n8n's Community Edition and Dify's Community Edition are free to self-host. n8n's Sustainable Use License limits use to internal business, non-commercial or personal purposes, and Dify's license bars running a multi-tenant service without permission. You still pay for servers and for any LLM API you connect.

### How do I stop an AI agent from making mistakes silently?

Use the tool's approval step for any action that sends or changes something, and set up failure alerts. Lindy requires approval for outward actions, Make documents manual approvals, n8n supports error workflows that alert you by email or Slack, and Dify logs a node-by-node trace of every run.

### What is the difference between an AI agent and an automation?

An automation, or workflow, follows predefined steps. An agent decides its own steps and tool use as it goes, in Anthropic's definition. Use workflows for predictable work and agents where the next step depends on reading and judging the input.

## How this guide was researched

We read the pricing pages, help centers, licenses and documentation of Lindy, Zapier, n8n, Make, Relevance AI, Dify and Turbotic, plus Anthropic's "Building effective agents", on 2026-10-16. Make's paid prices and Relevance AI's Pro and Team prices were not available on the pages we could open, so they are not quoted. Tools were compared from documentation, pricing pages and public information, not hands-on testing, and the cost table is arithmetic on listed rates. LogicBalls may earn a commission from some links in this guide, which does not change the order or the recommendations.