⚡ 快速结论：
- 定价： Make starts at $9 per month. Lutra starts at $23/month, billed annually.
- 最适合： Make for multi step workflows across many apps. Lutra for data enrichment and web research.
- 主要区别： Make uses a visual builder. Lutra takes requests in plain English.
- 我们的选择： Make for most people. It costs less and handles far more workflow types.
Make and Lutra both promise to automate tasks you hate doing by hand.
But they come at the problem from opposite ends.
Make gives you a canvas and lets you draw your workflow.
Lutra lets you type what you want and builds the steps for you.
One rewards patience. The other rewards clear instructions.
概述
This Make vs Lutra comparison covers pricing, key features, ease of use, and 安全.
我们查阅了双方的文档、定价页面和用户评论。 自动化 平台。
我们的撰稿人也亲自体验了每一项功能。
这些笔记出现在下面的“我们的团队注意到”部分中。
Want to dig deeper? Each tool has a full review linked below.
什么是 Make？
Make is a no code 自动化 平台。
It connects your favorite apps so data moves between them on its own.
You build each workflow on a visual canvas, without writing code.
It links actions across various applications, more than 2,000 in all.
自由职业者, small businesses, and large enterprises all use it.
Here’s a quick look at how the Make app works.
制作
Build complex automation on a visual canvas. Route data with filters, routers, and conditional logic. Start free and upgrade when you outgrow it.
制定价格
Make’s pricing model is based on operations. Each step a workflow runs counts toward your monthly limit.
| 计划 | 价格 | 最适合 |
|---|---|---|
| 自由的 | 每月 0 美元 | Simple workflows and learning the builder |
| 核 | 每月9美元 | Solo users running steady automations |
| 专业版 | 每月16美元 | 需要高级功能的高级用户 |
| 团队 | 每月 29 美元 | Teams sharing scenarios and roles |
| 企业 | 定制定价 | 有安全需求的大型公司 |
Pricing verified October 2026.
免费试用： There is no separate trial. The free plan works as a permanent trial, with no credit card needed.
退款保证： Make doesn’t offer refunds by default. It reviews requests case by case.
📌 笔记： Prices above reflect annual billing. Paying monthly costs $10.59 for Core, $18.82 for Pro, and $34.12 for Teams.
⚠️ 警告： There are no hidden fees, but operations add up fast. Creating automations is free, yet each run of a ten-step scenario uses ten operations.
Key Benefits of Make
Here’s what makes Make worth considering:
- 可视化工作流构建器： You drag modules onto a canvas and link them. You see every path your data takes.
- Extensive Integration Capabilities: Make works with thousands of apps. You can add as many apps as you need to one workflow.
- Complex Logic Without Code: Iterators, aggregators, routers, and filters come built in. No coding expertise is required.
- Custom API Calls: Can’t find an app? The HTTP module sends HTTP requests to almost any third party services.
- 错误处理： You decide what happens when a step fails. Clear error messages show where things broke.
- 大型社区： Make has deep documentation, tutorials, and an active forum. Help is easy to find as you build workflows.
我们的团队注意到了什么
Our writer used Make to move form leads into Google Sheets and a 客户关系管理以下是那次实践经历中最让我印象深刻的几点：
Make Pros & Cons
✅ 优点
- Paid plans start at just $9 per month
- Visual canvas shows every branch and filter
- Handles branching, loops, and error routes
- HTTP module connects apps without native support
❌缺点
- Steep learning curve for advanced workflows
- Operation counts can be hard to predict
- Refunds are only handled case by case
Lutra是什么？
Lutra AI is an intelligent 助手 for work across multiple applications.
You describe a job in natural language, and it carries it out.
It specializes in data enrichment, research, and 电子邮件管理.
Jiquan Ngiam and Bo Zhi See created it to cut app-switching.
The company calls it the first productivity agent for your whole workspace.
Watch Lutra handle a real request in this walkthrough.
卢特拉
Type a task and let the AI agent do the clicking. It can fill spreadsheets, enrich leads, and draft emails for you.
Lutra定价
Lutra uses a credit system. Every account gets monthly credits that refresh on their own.
| 计划 | 价格 | 最适合 |
|---|---|---|
| 自由的 | $0 | Trying a few simple tasks |
| 基本的 | 每月 23 美元（按年计费） | Solo users with regular research jobs |
| 专业的 | 每月 63 美元（按年计费） | Heavy enrichment and outreach work |
| 企业 | 定制定价 | Companies needing SSO and 审计 小径 |
Pricing verified October 2026.
免费试用： The free plan lets you test Lutra with a small credit allowance.
退款保证： Lutra doesn’t advertise a set refund window. Ask support before you commit to annual billing.
📌 笔记： Not all tasks cost the same. Web searches and data enrichment burn more credits than simple actions.
⚠️ 警告： Paid plan prices are for annual billing. Check your credit use on the free plan first.
Key Benefits of Lutra
Here’s what makes Lutra worth considering:
- Natural Language Automation: You type what you need. Lutra builds and runs the steps.
- Runs Actual Code: Lutra executes real code behind each task. That helps ensure consistent outcomes every run.
- 深度整合： It plugs into Google Workspace, Microsoft, Slack, HubSpot, and many other apps.
- 数据安全： Lutra is SOC 2 Type II certified with end-to-end encryption. It doesn’t store data long-term unless you ask.
- 剧本： Save a task, then share it with your team. This helps standardize processes across a company.
- 预定运行： Workflows can run on a schedule, even when you’re offline.
我们的团队注意到了什么
我们的 作家 signed up for Lutra and asked it to pull and enrich lead lists. Here’s what stood out:
Lutra Pros & Cons
✅ 优点
- Plain-English requests replace manual setup
- Strong at research, scraping, and enrichment
- SOC 2 Type II certified security
- Playbooks make good tasks repeatable
❌缺点
- Paid plans cost more than Make’s
- Credit burn is uneven across task types
- Smaller app list than dedicated automation tools
功能对比
Make is a workflow builder. Lutra is an AI agent that does work for you. Here’s how they compare across ten areas.
| 特征 | 制作 | 卢特拉 |
|---|---|---|
| 起价 | 每月9美元 | $23/month (annual) |
| 免费计划 | ✅ | ✅ |
| Visual Drag and Drop Builder | ✅ | ❌ |
| 人工智能代理 | ✅ | ✅ |
| Built-in Web Research | ❌ | ✅ |
| 自定义 API | ✅ HTTP module | ✅ via MCP |
| Iterators & Error Handling | ✅ | ❌ |
| Shareable Templates | ✅ 模板 | ✅ Playbooks |
| 最适合 | Complex automation | Research and data tasks |
1. AI Agents
制作： Make AI Agents sit inside your scenarios. You give an agent a goal and the tools it may use. It then decides which step to take next.
卢特拉： The whole product is the agent. You chat with it like other 人工智能助手, but it acts across your work apps. It can research YouTube videos and summarize them on request.
2. Reliability and Consistent Outcomes
制作： Agentic automation mixes AI decisions with fixed steps. You keep strict rules where they matter. AI only handles the fuzzy parts.
卢特拉： Lutra AI ensures repeatable results by writing and running actual code. That beats a chatbot guessing each time. Its PubMed RSS report shows how scheduled tasks can automate reports.
3. Workflow Building and Ease of Use
制作： The drag and drop interface lets you see each module, route, and filter. Simple workflows take minutes. More complex workflows take practice, so expect a steep learning curve.
卢特拉： There’s no canvas to learn. You type, and conversational AI handles the setup. It can also build visualizations, like a cross-platform app analysis dashboard.
💡 专业提示： Lutra feels more beginner friendly on day one. Some reviewers still mention a learning curve in finding everything it can do.
4. Data Extraction and Enrichment
制作： Make can process data from invoices, forms, and files. Parsing tools reshape it before it lands in Google Sheets.
卢特拉： This is Lutra’s home turf. It finds structured data on web pages, PDFs, and docs, then enriches each row. It can turn Google Drive PDFs into tidy Sheets.
5. 潜在客户开发
制作： Make moves leads from ads, forms, and landing pages into your 客户关系管理. It scores, tags, and routes them by rules you set.
卢特拉： Lutra builds the lead list itself. It scrapes contact details from sites like LinkedIn and enriches each profile. A sales team gets ready-to-use records.
6. Marketing and Email Automation
制作： Make can post to social channels on a schedule. It also syncs customer interactions across tools, which helps e commerce stores keep inventory updated.
卢特拉： Lutra can automate emails with CRM data. It drafts personalized campaigns and Gmail replies, then sends follow-ups and tracks the results.
7. Integrations and Custom APIs
制作： With 2,000+ apps, Make covers most tools you already use. The HTTP module handles custom API calls for everything else. That makes it great for syncing data across IT systems.
卢特拉： Lutra connects to existing apps like Outlook, Stripe, and HubSpot. It supports MCP (Model Context Protocol) for custom integrations, with SSO, RBAC, and audit trails.
⚠️ 警告： Lutra’s app list is shorter. Check your must-have tools before you pay for a plan.
8. Templates and Playbooks
制作： The templates gallery gives you ready-made scenarios. Pick one, connect your accounts, and tweak the steps.
卢特拉： Playbooks are saved tasks you can share across your company. A profile finder playbook, for example, runs the same way for everyone.
9. Business Workflows by Team
制作： Make is highly versatile. It runs contract approvals for legal, invoices for finance, and tickets for IT.
卢特拉： Lutra serves sales, recruiting, finance, and 房地产. It finds phone numbers, sources candidates, reconciles expenses, and scrapes Zillow listings.
10. 定价与成本
Here are both pricing plans side by side.
| 计划 | 制作 | 卢特拉 |
|---|---|---|
| 自由的 | 每月 0 美元 | $0 |
| 入口 | Core: $9 per month | Essential: $23/month (billed annually) |
| 中 | Pro: $16 per month | Professional: $63/month (billed annually) |
| 团队 | Teams: $29 per month | — |
| 企业 | 定制定价 | 定制定价 |
制作： Make is the cost effective pick. Most paid plans fall between $9 and $29. Reviewers often say it beats Zapier and Pipedream on price.
卢特拉： Lutra costs more, but each credit does heavier work. One task can replace hours of manual research.
不同场景
| 如果您需要…… | 选择 | 为什么 |
|---|---|---|
| 预算紧张 | 制作 | Paid plans start at $9 |
| Advanced workflows with branching | 制作 | Routers, iterators, error routes |
| Lead research and enrichment | 卢特拉 | Scrapes and enriches on request |
| Connecting niche apps | 制作 | 2,000+ apps plus HTTP |
| Zero setup for non technical users | 卢特拉 | Type tasks in plain English |
| Strict data security | 卢特拉 | SOC 2 Type II, MCP guardrails |
💰 您的预算
Make wins on raw cost. Lutra makes sense when one task saves hours of research.
🔌 您的技术栈
Many tools, or niche ones? Pick Make. Mostly Google Workspace and Microsoft? Lutra covers you.
⚙️ Your Workflow Style
Make suits always-on pipelines that run thousands of times. Lutra suits jobs where an AI must read, search, and decide.
🎓您的经验水平
New to automation? Lutra needs little technical know how. Make takes longer to learn but gives more control.
🆓 免费试用和演示
Both offer a free plan. Run one real task in each before you pay.
🛟 支持选项
Make’s customer support is backed by a huge community and tutorials. Lutra’s resources are smaller but growing.
🔒 数据隐私和安全
Lutra uses secure authentication on every connection. It also limits risky mixes of private data, external systems, and untrusted content.
切换指南
已经在使用这些工具之一了吗？如果您切换到其他工具，以下是您可能遇到的情况。
🔄 Switching from Make to Lutra?
✅ 你将获得：
- Tasks set up by typing, not building
- Built-in web searches and lead enrichment
- SOC 2 Type II security with MCP controls
❌ 你会失去什么：
- The visual canvas and fine control
- A much larger app library
- 更低的月度成本
📋 如何切换：
- List your Make scenarios and what each one does.
- Create a free Lutra account and connect your apps.
- Describe each task in plain English and save it as a Playbook.
🔄 Switching from Lutra to Make?
✅ 你将获得：
- Cheaper plans for high-volume runs
- Iterators, routers, and error handling
- 2,000+ apps and HTTP module access
❌ 你会失去什么：
- Plain-English task creation
- Native research and scraping
- Shareable Playbooks
📋 如何切换：
- Write down the steps each Lutra Playbook performs.
- Sign up for Make’s free plan and connect your apps.
- Rebuild each task from a template or a blank scenario.
我们的评测没有涵盖的内容
This comparison focused on solo users and small teams. We didn’t evaluate Enterprise plans, custom pricing, or high-volume runs with millions of operations. We also didn’t measure real time data speed or long-term credit costs at scale. Features reflect October 2026 versions and may change.
最终判决
| 类别 | 优胜者 |
|---|---|
| 💰 定价 | 制作 |
| 🧩 Workflow Builder | 制作 |
| 🧠 Complex Logic & Error Handling | 制作 |
| 🔌 集成 | 制作 |
| 📚 模板和社区 | 制作 |
| 🔍 Data Enrichment & Research | 卢特拉 |
| 🤖人工智能代理 | 卢特拉 |
| 👶 易用性 | 卢特拉 |
| 🏆 总冠军 | 制作 |
🏆 WINNER: MAKE
Make wins 5 out of 8 categories.
最适合： Multi-app automation, budget-minded teams, complex workflows
Make is a powerful automation platform for people who want control. It costs less and connects more apps. Its visual approach turns messy 商业 workflows into clear diagrams.
Lutra is the better fit for research-heavy work. If your days involve web searches, lead lists, and messy spreadsheets, Lutra saves real time. It lets you skip the builder and just ask.
Still, most readers want one tool that runs reliably in the background. For that, Make is the stronger choice. Start on the free plan and grow from there.
More of Make Compared
Here’s how Make stacks up against other automation tools:
赢得比赛： branching paths, lower entry price, and deeper data parsing. Unlike Zapier, it bills per operation.
Zapier 在以下方面胜出： a simpler linear setup, a larger app library, and faster onboarding.
Make vs n8n
赢得比赛： zero hosting work, a friendlier canvas, and a bigger template gallery.
n8n 获胜： open-source code, self-hosting, and code nodes for developers.
Make vs 帕布利 连接
赢得比赛： more native apps, stronger error handling, and built-in AI agents.
Pabbly Connect wins on: lifetime deals, free internal steps, and simpler billing.
More of Lutra Compared
Here’s how Lutra stacks up against other AI workflows tools:
Lutra wins on: chat-based setup, native web research, and lead enrichment.
Zapier 在以下方面胜出： thousands more apps, lower starting cost, and mature trigger-action automation.
卢特拉对阵 口香糖环
Lutra wins on: no node building, SOC 2 Type II security, and shareable Playbooks.
Gumloop 赢得： a visual AI pipeline builder, scraping nodes, and step-level control.
卢特拉对阵 MindStudio
Lutra wins on: ready-to-use task agent, CRM-driven email, and Google Drive extraction.
MindStudio wins on: building custom 人工智能应用, model choice, and branded agent interfaces.
常见问题解答
Make 比 Zapier 更好吗？
For complex logic and lower cost, yes. Zapier is simpler and has more apps. Make gives you branching, iterators, and better control over how data is processed.
Make.com 难用吗？
Basic tasks are easy to set up. Advanced workflows take practice, especially with API integrations. Templates and tutorials shorten your automation journey.
Make.com 的费用是多少？
There’s a free plan. Paid plans are Core at $9, Pro at $16, and Teams at $29 per month. Enterprise uses custom pricing.
Lutra AI安全吗？
Yes. It is SOC 2 Type II certified and uses end-to-end encryption. It doesn’t keep your data long-term unless you ask it to.
Lutra AI是用来做什么的？
It handles data extraction, lead enrichment, web research, and email follow-ups. You describe the job, and the agent works to complete tasks across your connected apps.
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