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Make vs Lutra 2026: Which Fits Your Workflow?

utworzone przez | Last updated Oct 19, 2026

Zwycięzca
robić
4.6
  • Connects 2,000+ Apps
  • Visual Drag and Drop Budowniczy
  • Built-in AI Agents
  • Iterators, Filters & Error Handling
  • Custom APIs via HTTP Module
  • Dostępny bezpłatny plan
  • Paid Plans from $9 per month
Wicemistrz
Lutra
3.9
  • Plain-English Task Requests
  • Data Extraction & Enrichment
  • Certyfikat SOC 2 typu II
  • PDFs to Google Sheets
  • Shareable Playbooks
  • Dostępny bezpłatny plan
  • Płatne plany od 23 USD/miesiąc

⚡ Szybki werdykt:

  • Wycena: Make starts at $9 per month. Lutra starts at $23/month, billed annually.
  • Najlepiej dla: Make for multi step workflows across many apps. Lutra for data enrichment and web research.
  • Kluczowa różnica: Make uses a visual builder. Lutra takes requests in plain English.
  • Nasz wybór: Make for most people. It costs less and handles far more workflow types.
make vs Lutra
make vs Lutra

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.

Przegląd

This Make vs Lutra comparison covers pricing, key features, ease of use, and bezpieczeństwo.

Przejrzeliśmy dokumentację, strony z cenami i recenzje użytkowników dla obu automatyzacja platformy.

Nasi autorzy spędzili także trochę czasu osobiście z każdym z nich.

Notatki te znajdują się poniżej w sekcjach „Co zauważył nasz zespół”.

Want to dig deeper? Each tool has a full review linked below.

Czym jest Make?

Make is a no code automatyzacja platforma.

It connects your favorite apps so data moves between them on its own.

You build each workflow on a visual canvas, without writing code.

Utwórz stronę główną

It links actions across various applications, more than 2,000 in all.

Freelancerzy, small businesses, and large enterprises all use it.

Here’s a quick look at how the Make app works.

Recenzja Make.com: NAJLEPSZA platforma AI do automatyzacji?

Robić

⭐ 4.6/5 | 💰 From $9 per month

Build complex automation on a visual canvas. Route data with filters, routers, and conditional logic. Start free and upgrade when you outgrow it.

Ustalanie cen

Make’s pricing model is based on operations. Each step a workflow runs counts toward your monthly limit.

PlanCenaNajlepsze dla
Bezpłatny0 zł miesięcznieSimple workflows and learning the builder
Rdzeń9 dolarów miesięcznieSolo users running steady automations
Zawodowiec16 dolarów miesięcznieZaawansowani użytkownicy potrzebujący zaawansowanych funkcji
Zespoły29 dolarów miesięcznieTeams sharing scenarios and roles
PrzedsiębiorstwoNiestandardowe cenyDuże firmy z potrzebami bezpieczeństwa

Pricing verified October 2026.

Ustalanie cen

Bezpłatny okres próbny: There is no separate trial. The free plan works as a permanent trial, with no credit card needed.

Gwarancja zwrotu pieniędzy: Make doesn’t offer refunds by default. It reviews requests case by case.

📌 Notatka: Prices above reflect annual billing. Paying monthly costs $10.59 for Core, $18.82 for Pro, and $34.12 for Teams.

⚠️ Ostrzeżenie: 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:

  • Wizualny kreator przepływu pracy: 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.
  • Obsługa błędów: You decide what happens when a step fails. Clear error messages show where things broke.
  • Duża społeczność: Make has deep documentation, tutorials, and an active forum. Help is easy to find as you build workflows.
Uzyskaj najwyższe korzyści

Co zauważył nasz zespół

Our writer used Make to move form leads into Google Sheets and a CRMOto, co najbardziej rzuciło się w oczy podczas tego praktycznego spotkania:

Zdobądź osobiste doświadczenie

Make Pros & Cons

✅ Zalety
  • 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
❌ Wady
  • Steep learning curve for advanced workflows
  • Operation counts can be hard to predict
  • Refunds are only handled case by case

Czym jest Lutra?

Lutra AI is an intelligent asystent for work across multiple applications.

You describe a job in natural language, and it carries it out.

It specializes in data enrichment, research, and zarządzanie pocztą e-mail.

Strona główna Lutra

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.

https://youtu.be/LcT7_w2Ja9M?si=6yrP1-MG_povOhX4

Lutra

⭐ 3.9/5 | 💰 From $23/month

Type a task and let the AI agent do the clicking. It can fill spreadsheets, enrich leads, and draft emails for you.

Cennik Lutra

Lutra uses a credit system. Every account gets monthly credits that refresh on their own.

PlanCenaNajlepsze dla
Bezpłatny$0Trying a few simple tasks
Niezbędny23 USD/miesiąc (rozliczane rocznie)Solo users with regular research jobs
Profesjonalny63 USD/miesiąc (rozliczane rocznie)Heavy enrichment and outreach work
PrzedsiębiorstwoNiestandardowe cenyCompanies needing SSO and rewizja szlaki

Pricing verified October 2026.

Cennik Lutra

Bezpłatny okres próbny: The free plan lets you test Lutra with a small credit allowance.

Gwarancja zwrotu pieniędzy: Lutra doesn’t advertise a set refund window. Ask support before you commit to annual billing.

📌 Notatka: Not all tasks cost the same. Web searches and data enrichment burn more credits than simple actions.

⚠️ Ostrzeżenie: 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.
  • Głębokie integracje: It plugs into Google Workspace, Microsoft, Slack, HubSpot, and many other apps.
  • Bezpieczeństwo danych: Lutra is SOC 2 Type II certified with end-to-end encryption. It doesn’t store data long-term unless you ask.
  • Podręczniki: Save a task, then share it with your team. This helps standardize processes across a company.
  • Zaplanowane przebiegi: Workflows can run on a schedule, even when you’re offline.
Najważniejsze korzyści Lutra

Co zauważył nasz zespół

Nasz pisarz signed up for Lutra and asked it to pull and enrich lead lists. Here’s what stood out:

Lutra Osobiste doświadczenie

Lutra Pros & Cons

✅ Zalety
  • Plain-English requests replace manual setup
  • Strong at research, scraping, and enrichment
  • SOC 2 Type II certified security
  • Playbooks make good tasks repeatable
❌ Wady
  • Paid plans cost more than Make’s
  • Credit burn is uneven across task types
  • Smaller app list than dedicated automation tools

Porównanie funkcji

Make is a workflow builder. Lutra is an AI agent that does work for you. Here’s how they compare across ten areas.

FunkcjaRobićLutra
Cena wywoławcza9 dolarów miesięcznie$23/month (annual)
Bezpłatny plan✅✅
Visual Drag and Drop Builder✅❌
Agenci AI✅✅
Built-in Web Research❌✅
Niestandardowe interfejsy API✅ HTTP module✅ via MCP
Iterators & Error Handling✅❌
Shareable Templates✅ Szablony✅ Playbooks
Najlepsze dlaComplex automationResearch and data tasks

1. AI Agents

Robić: 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.

Stwórz agentów AI

Lutra: The whole product is the agent. You chat with it like other Asystenci AI, but it acts across your work apps. It can research YouTube videos and summarize them on request.

Badacz filmów wideo Lutra Youtube

2. Reliability and Consistent Outcomes

Robić: Agentic automation mixes AI decisions with fixed steps. You keep strict rules where they matter. AI only handles the fuzzy parts.

Utwórz automatyzację agentową

Lutra: 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.

Lutra Generuj raport PubMed RSS

3. Workflow Building and Ease of Use

Robić: 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.

Wizualnie zorganizuj automatyzację

Lutra: 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.

Panel analizy aplikacji wieloplatformowych Lutra

💡 Wskazówka: 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

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

Automatyzacja fakturowania

Lutra: 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.

Ekstrakcja i wzbogacanie danych Lutra

5. Generowanie leadów

Robić: Make moves leads from ads, forms, and landing pages into your CRM. It scores, tags, and routes them by rules you set.

Zautomatyzuj generowanie leadów

Lutra: 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.

Wzbogacanie profilu Lutra LinkedIn

6. Marketing and Email Automation

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

Automatyzacja mediów społecznościowych

Lutra: Lutra can automate emails with CRM data. It drafts personalized campaigns and Gmail replies, then sends follow-ups and tracks the results.

Lutra Automatyczne tworzenie szkiców odpowiedzi w Gmailu

7. Integrations and Custom APIs

Robić: 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.

Automatyzacja przepływu pracy IT

Lutra: 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.

Ekstraktor danych Lutra

⚠️ Ostrzeżenie: Lutra’s app list is shorter. Check your must-have tools before you pay for a plan.

8. Templates and Playbooks

Robić: The templates gallery gives you ready-made scenarios. Pick one, connect your accounts, and tweak the steps.

Utwórz galerię szablonów

Lutra: Playbooks are saved tasks you can share across your company. A profile finder playbook, for example, runs the same way for everyone.

Wyszukiwarka profili Lutra

9. Business Workflows by Team

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

Automatyzacja kontaktów

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

Wyszukiwarka numerów Lutra

10. Ceny i koszty

Here are both pricing plans side by side.

PlanRobićLutra
Bezpłatny0 zł miesięcznie$0
WejścieCore: $9 per monthEssential: $23/month (billed annually)
ŚredniPro: $16 per monthProfessional: $63/month (billed annually)
ZespółTeams: $29 per month—
PrzedsiębiorstwoNiestandardowe cenyNiestandardowe ceny

Robić: Make is the cost effective pick. Most paid plans fall between $9 and $29. Reviewers often say it beats Zapier and Pipedream on price.

Lutra: Lutra costs more, but each credit does heavier work. One task can replace hours of manual research.

Różne scenariusze

Jeśli potrzebujesz…WybieraćDlaczego
Ograniczony budżetRobićPaid plans start at $9
Advanced workflows with branchingRobićRouters, iterators, error routes
Lead research and enrichmentLutraScrapes and enriches on request
Connecting niche appsRobić2,000+ apps plus HTTP
Zero setup for non technical usersLutraType tasks in plain English
Strict data securityLutraSOC 2 Type II, MCP guardrails

💰 Twój budżet

Make wins on raw cost. Lutra makes sense when one task saves hours of research.

🔌 Twój zestaw technologii

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.

🎓 Twój poziom doświadczenia

New to automation? Lutra needs little technical know how. Make takes longer to learn but gives more control.

🆓 Bezpłatne wersje próbne i dema

Both offer a free plan. Run one real task in each before you pay.

🛟 Opcje wsparcia

Make’s customer support is backed by a huge community and tutorials. Lutra’s resources are smaller but growing.

🔒 Prywatność i bezpieczeństwo danych

Lutra uses secure authentication on every connection. It also limits risky mixes of private data, external systems, and untrusted content.

Przewodnik po przełączaniu

Korzystasz już z jednego z tych narzędzi? Oto, czego możesz się spodziewać po zmianie.

🔄 Switching from Make to Lutra?

✅ Co zyskasz:

  • Tasks set up by typing, not building
  • Built-in web searches and lead enrichment
  • SOC 2 Type II security with MCP controls

❌ Co stracisz:

  • The visual canvas and fine control
  • A much larger app library
  • Niższe miesięczne koszty

📋 Jak przełączyć:

  1. List your Make scenarios and what each one does.
  2. Create a free Lutra account and connect your apps.
  3. Describe each task in plain English and save it as a Playbook.
🔄 Switching from Lutra to Make?

✅ Co zyskasz:

  • Cheaper plans for high-volume runs
  • Iterators, routers, and error handling
  • 2,000+ apps and HTTP module access

❌ Co stracisz:

  • Plain-English task creation
  • Native research and scraping
  • Shareable Playbooks

📋 Jak przełączyć:

  1. Write down the steps each Lutra Playbook performs.
  2. Sign up for Make’s free plan and connect your apps.
  3. Rebuild each task from a template or a blank scenario.

Czego nie objęła nasza recenzja

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.

Ostateczny werdykt

KategoriaZwycięzca
💰 CennikRobić
🧩 Workflow BuilderRobić
🧠 Complex Logic & Error HandlingRobić
🔌 IntegracjeRobić
📚 Szablony i społecznośćRobić
🔍 Data Enrichment & ResearchLutra
🤖 Agenci AILutra
👶 Łatwość użytkowaniaLutra
🏆 Zwycięzca klasyfikacji generalnejRobić

🏆 WINNER: MAKE

Make wins 5 out of 8 categories.

Najlepiej dla: 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 biznes 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 vs Zapier

Wygrywaj na: branching paths, lower entry price, and deeper data parsing. Unlike Zapier, it bills per operation.

Zapier wygrywa w: a simpler linear setup, a larger app library, and faster onboarding.

Make vs n8n

Wygrywaj na: zero hosting work, a friendlier canvas, and a bigger template gallery.

n8n wygrywa w: open-source code, self-hosting, and code nodes for developers.

Make vs Pabbly Łączyć

Wygrywaj na: 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 vs Zapier

Lutra wins on: chat-based setup, native web research, and lead enrichment.

Zapier wygrywa w: thousands more apps, lower starting cost, and mature trigger-action automation.

Lutra vs Gumloop

Lutra wins on: no node building, SOC 2 Type II security, and shareable Playbooks.

Gumloop wygrywa w: a visual AI pipeline builder, scraping nodes, and step-level control.

Lutra vs MindStudio

Lutra wins on: ready-to-use task agent, CRM-driven email, and Google Drive extraction.

MindStudio wins on: building custom Aplikacje AI, model choice, and branded agent interfaces.

Często zadawane pytania

Czy Make jest lepszy niż 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.

Czy Make.com jest trudny w użyciu?

Basic tasks are easy to set up. Advanced workflows take practice, especially with API integrations. Templates and tutorials shorten your automation journey.

Ile kosztuje 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.

Czy Lutra AI jest bezpieczna?

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.

Do czego służy 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.

Fahim Joharder, założyciel

Fahim Joharder, założyciel

Przetestowano ponad 900 narzędzi AI. Ponad 250 tys. czytelników miesięcznie.

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