

⚡ حكم سريع:
- الأسعار: Make starts at $9 per month. Lutra starts at $23/month, billed annually.
- الأفضل لـ: Make for multi step workflows across many apps. Lutra for data enrichment and web research.
- الفرق الرئيسي: Make uses a visual builder. Lutra takes requests in plain English.
- اختيارنا: 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.
ملخص
This Make vs Lutra comparison covers pricing, key features, ease of use, and حماية.
We reviewed documentation, pricing pages, and user reviews for both الأتمتة المنصات.
كما أمضى كتّابنا وقتاً عملياً مع كل واحد منهم.
تظهر هذه الملاحظات في قسم "ما لاحظه فريقنا" أدناه.
Want to dig deeper? Each tool has a full review linked below.
ما هو "صنع"؟
Make is a no code الأتمتة منصة.
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.
المستقلون, small businesses, and large enterprises all use it.
Here’s a quick look at how the Make app works.

يصنع
Build complex automation on a visual canvas. Route data with filters, routers, and conditional logic. Start free and upgrade when you outgrow it.
تحديد الأسعار
Make’s pricing model is based on operations. Each step a workflow runs counts toward your monthly limit.
| يخطط | سعر | الأفضل لـ |
|---|---|---|
| حر | 0 دولار شهرياً | Simple workflows and learning the builder |
| جوهر | 9 دولارات شهرياً | Solo users running steady automations |
| محترف | 16 دولارًا شهريًا | المستخدمون المتقدمون الذين يحتاجون إلى ميزات متقدمة |
| الفرق | 29 دولارًا شهريًا | Teams sharing scenarios and roles |
| مَشرُوع | تسعير مخصص | الشركات الكبيرة ذات الاحتياجات الأمنية |
Pricing verified October 2026.

تجربة مجانية: There is no separate trial. The free plan works as a permanent trial, with no credit card needed.
ضمان استرداد الأموال: Make doesn’t offer refunds by default. It reviews requests case by case.
📌 ملحوظة: Prices above reflect annual billing. Paying monthly costs $10.59 for Core, $18.82 for Pro, and $34.12 for Teams.
⚠️ تحذير: 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:
- أداة إنشاء سير العمل المرئي: 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.
- معالجة الأخطاء: You decide what happens when a step fails. Clear error messages show where things broke.
- مجتمع كبير: Make has deep documentation, tutorials, and an active forum. Help is easy to find as you build workflows.

ما لاحظه فريقنا
Our writer used Make to move form leads into Google Sheets and a إدارة علاقات العملاء. Here’s what stood out from that hands-on time:

Make Pros & Cons
✅ المزايا
- 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
❌ سلبيات
- Steep learning curve for advanced workflows
- Operation counts can be hard to predict
- Refunds are only handled case by case
ما هو لوترا؟
Lutra AI is an intelligent مساعد for work across multiple applications.
You describe a job in natural language, and it carries it out.
It specializes in data enrichment, research, and إدارة البريد الإلكتروني.

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.

لوترا
Type a task and let the AI agent do the clicking. It can fill spreadsheets, enrich leads, and draft emails for you.
Lutra Pricing
Lutra uses a credit system. Every account gets monthly credits that refresh on their own.
| يخطط | سعر | الأفضل لـ |
|---|---|---|
| حر | $0 | Trying a few simple tasks |
| ضروري | $23/month (billed annually) | Solo users with regular research jobs |
| احترافي | $63/month (billed annually) | Heavy enrichment and outreach work |
| مَشرُوع | تسعير مخصص | Companies needing SSO and مراجعة المسارات |
Pricing verified October 2026.

تجربة مجانية: The free plan lets you test Lutra with a small credit allowance.
ضمان استرداد الأموال: Lutra doesn’t advertise a set refund window. Ask support before you commit to annual billing.
📌 ملحوظة: Not all tasks cost the same. Web searches and data enrichment burn more credits than simple actions.
⚠️ تحذير: 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.
- التكاملات العميقة: It plugs into Google Workspace, Microsoft, Slack, HubSpot, and many other apps.
- أمن البيانات: Lutra is SOC 2 Type II certified with end-to-end encryption. It doesn’t store data long-term unless you ask.
- خطط العمل: Save a task, then share it with your team. This helps standardize processes across a company.
- مواعيد التشغيل المجدولة: Workflows can run on a schedule, even when you’re offline.

ما لاحظه فريقنا
ملكنا الكاتب signed up for Lutra and asked it to pull and enrich lead lists. Here’s what stood out:

Lutra Pros & Cons
✅ المزايا
- Plain-English requests replace manual setup
- Strong at research, scraping, and enrichment
- SOC 2 Type II certified security
- Playbooks make good tasks repeatable
❌ سلبيات
- Paid plans cost more than Make’s
- Credit burn is uneven across task types
- Smaller app list than dedicated automation tools
مقارنة الميزات
Make is a workflow builder. Lutra is an AI agent that does work for you. Here’s how they compare across ten areas.
| ميزة | يصنع | لوترا |
|---|---|---|
| السعر المبدئي | 9 دولارات شهرياً | $23/month (annual) |
| خطة مجانية | ✅ | ✅ |
| Visual Drag and Drop Builder | ✅ | ❌ |
| وكلاء الذكاء الاصطناعي | ✅ | ✅ |
| Built-in Web Research | ❌ | ✅ |
| Custom APIs | ✅ HTTP module | ✅ via MCP |
| Iterators & Error Handling | ✅ | ❌ |
| Shareable Templates | ✅ قوالب | ✅ Playbooks |
| الأفضل لـ | Complex automation | Research and data tasks |
1. AI Agents
يصنع: 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.

لوترا: The whole product is the agent. You chat with it like other مساعدو الذكاء الاصطناعي, but it acts across your work apps. It can research يوتيوب videos and summarize them on request.

2. Reliability and Consistent Outcomes
يصنع: Agentic automation mixes AI decisions with fixed steps. You keep strict rules where they matter. AI only handles the fuzzy parts.

لوترا: 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
يصنع: 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.

لوترا: 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.

💡 نصيحة احترافية: 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
يصنع: Make can process data from invoices, forms, and files. Parsing tools reshape it before it lands in Google Sheets.

لوترا: 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. Lead Generation
يصنع: Make moves leads from ads, forms, and landing pages into your إدارة علاقات العملاء. It scores, tags, and routes them by rules you set.

لوترا: 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
يصنع: Make can post to social channels on a schedule. It also syncs customer interactions across tools, which helps e commerce stores keep inventory updated.

لوترا: 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
يصنع: 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.

لوترا: 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.

⚠️ تحذير: Lutra’s app list is shorter. Check your must-have tools before you pay for a plan.
8. Templates and Playbooks
يصنع: The templates gallery gives you ready-made scenarios. Pick one, connect your accounts, and tweak the steps.

لوترا: 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
يصنع: Make is highly versatile. It runs contract approvals for legal, invoices for finance, and tickets for IT.

لوترا: Lutra serves sales, recruiting, finance, and العقارات. It finds phone numbers, sources candidates, reconciles expenses, and scrapes Zillow listings.

10. التسعير والتكلفة
Here are both pricing plans side by side.
| يخطط | يصنع | لوترا |
|---|---|---|
| حر | 0 دولار شهرياً | $0 |
| دخول | Core: $9 per month | Essential: $23/month (billed annually) |
| منتصف | Pro: $16 per month | Professional: $63/month (billed annually) |
| فريق | Teams: $29 per month | — |
| مَشرُوع | تسعير مخصص | تسعير مخصص |
يصنع: Make is the cost effective pick. Most paid plans fall between $9 and $29. Reviewers often say it beats زابير and Pipedream on price.
لوترا: Lutra costs more, but each credit does heavier work. One task can replace hours of manual research.
سيناريوهات مختلفة
| إذا كنت بحاجة إلى | يختار | لماذا |
|---|---|---|
| ميزانية محدودة | يصنع | Paid plans start at $9 |
| Advanced workflows with branching | يصنع | Routers, iterators, error routes |
| Lead research and enrichment | لوترا | Scrapes and enriches on request |
| Connecting niche apps | يصنع | 2,000+ apps plus HTTP |
| Zero setup for non technical users | لوترا | Type tasks in plain English |
| Strict data security | لوترا | SOC 2 Type II, MCP guardrails |
💰 ميزانيتك
Make wins on raw cost. Lutra makes sense when one task saves hours of research.
🔌 مجموعة أدواتك التقنية
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.
🎓 مستوى خبرتك
New to automation? Lutra needs little technical know how. Make takes longer to learn but gives more control.
🆓 تجارب وعروض توضيحية مجانية
Both offer a free plan. Run one real task in each before you pay.
🛟 خيارات الدعم
Make’s customer support is backed by a huge community and tutorials. Lutra’s resources are smaller but growing.
🔒 خصوصية البيانات وأمنها
Lutra uses secure authentication on every connection. It also limits risky mixes of private data, external systems, and untrusted content.
دليل التبديل
هل تستخدم إحدى هذه الأدوات بالفعل؟ إليك ما يمكن توقعه إذا قمت بالتبديل.
🔄 Switching from Make to Lutra?
✅ ما ستجنيه:
- Tasks set up by typing, not building
- Built-in web searches and lead enrichment
- SOC 2 Type II security with MCP controls
❌ ما ستخسره:
- The visual canvas and fine control
- A much larger app library
- انخفاض التكاليف الشهرية
📋 كيفية التبديل:
- 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?
✅ ما ستجنيه:
- Cheaper plans for high-volume runs
- Iterators, routers, and error handling
- 2,000+ apps and HTTP module access
❌ ما ستخسره:
- Plain-English task creation
- Native research and scraping
- Shareable Playbooks
📋 كيفية التبديل:
- 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.
ما لم تتناوله مراجعتنا
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.
الحكم النهائي
| فئة | الفائز |
|---|---|
| 💰 الأسعار | يصنع |
| 🧩 Workflow Builder | يصنع |
| 🧠 Complex Logic & Error Handling | يصنع |
| 🔌 عمليات التكامل | يصنع |
| 📚 القوالب والمجتمع | يصنع |
| 🔍 Data Enrichment & Research | لوترا |
| 🤖 وكلاء الذكاء الاصطناعي | لوترا |
| 👶 سهولة الاستخدام | لوترا |
| 🏆 الفائز الإجمالي | يصنع |
🏆 WINNER: MAKE
Make wins 5 out of 8 categories.
الأفضل لـ: 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 عمل 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:
Make wins on: branching paths, lower entry price, and deeper data parsing. Unlike Zapier, it bills per operation.
Zapier wins on: a simpler linear setup, a larger app library, and faster onboarding.
Make vs n8n
Make wins on: zero hosting work, a friendlier canvas, and a bigger template gallery.
n8n wins on: open-source code, self-hosting, and code nodes for developers.
Make vs حصوي يتصل
Make wins on: 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 wins on: thousands more apps, lower starting cost, and mature trigger-action automation.
Lutra vs غاملوب
Lutra wins on: no node building, SOC 2 Type II security, and shareable Playbooks.
Gumloop wins on: a visual AI pipeline builder, scraping nodes, and step-level control.
Lutra vs مايند ستوديو
Lutra wins on: ready-to-use task agent, CRM-driven email, and Google Drive extraction.
MindStudio wins on: building custom تطبيقات الذكاء الاصطناعي, model choice, and branded agent interfaces.
الأسئلة الشائعة
هل برنامج Make أفضل من برنامج Zapier؟
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.
هل موقع Make.com صعب الاستخدام؟
Basic tasks are easy to set up. Advanced workflows take practice, especially with API integrations. Templates and tutorials shorten your automation journey.
كم تبلغ تكلفة موقع Make.com؟
There’s a free plan. Paid plans are Core at $9, Pro at $16, and Teams at $29 per month. Enterprise uses custom pricing.
هل برنامج Lutra AI آمن؟
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.
ما هي استخدامات برنامج Lutra AI؟
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.













