Inicio rápido
Esta guía abarca todas las funciones de Make:
- Empezando — Create your account and build your first automation
- Cómo utilizar agentes de IA — Build autonomous AI agents that run tasks for you
- Cómo utilizar la automatización de redes sociales — Schedule and automate posts across platforms
- Cómo utilizar la automatización de flujos de trabajo de TI — Automate monitoring, alerts, and incident response
- Cómo utilizar la generación automatizada de leads — Captura y enruta los clientes potenciales automáticamente
- Cómo utilizar la automatización de contratos — Send, track, and manage contracts hands-free
- Cómo utilizar la automatización agencial — Create AI-driven workflows with decision-making
- Cómo usar Visually Orchestrate Automation — Design and manage workflows on a visual map
- Cómo utilizar la automatización de facturas — Process invoices without manual data entry
- Cómo usar la galería de plantillas — Start with pre-built workflows and customize them
Tiempo necesario: 5 minutos por función
También en esta guía: Consejos profesionales | Errores comunes | Solución de problemas | Precios | Alternativas
¿Por qué confiar en esta guía?
I’ve used Make for over a year and tested every feature covered here. This how to Use Make AI tutorial comes from real hands-on experience — not marketing fluff or vendor screenshots.
Make is one of the most powerful no-code automatización herramientas disponibles hoy en día.
Pero la mayoría de los usuarios solo aprovechan una pequeña parte de lo que puede hacer.
Esta guía le muestra cómo utilizar todas las funciones principales.
Paso a paso, con capturas de pantalla y consejos profesionales.
Crear tutorial
This complete Make tutorial walks you through every feature step by step, from initial setup to advanced tips that will make you a power user. We’ll introduce the fundamentals first, then cover advanced capabilities — and if you want to go deeper, Make also offers free courses on their YouTube canal.
Hacer
Automate workflows by connecting 3,000+ apps visually — no coding required. Make lets you build AI agents, automate negocio processes, and send data between tools in minutes. Start free with 1,000 credits per month.
Primeros pasos con Make
Antes de utilizar cualquier función, complete esta configuración inicial.
Tarda unos 3 minutos.
Ahora vamos a repasar cada paso.
Paso 1: Crea tu cuenta
Visita la página web de Make en make.com.
Haz clic en "Comienza gratis" en la esquina superior derecha.
Introduce tu correo electrónico y crea una contraseña.
También puedes registrarte con Google o GitHub.
✓ Control: Comprueba tu bandeja de entrada para recibir un correo electrónico de confirmación.
Paso 2: Acceda al panel de control
Make runs directly in your browser — no download needed.
It’s accessible on all dispositivos including desktop and mobile.
Inicia sesión con las credenciales de tu nueva cuenta.
You’ll see the main dashboard with a list of your scenarios on the left.
✓ Control: You should see the main dashboard with your scenarios list.
Paso 3: Completar la configuración inicial
Make will ask what you want to automate during onboarding.
Select your use case — this helps Make suggest relevant templates.
Connect your first app by searching the 3,000+ integrations library.
Grant the required permissions so Make can run automations for you.
✅ Hecho: Estás listo para usar cualquiera de las funciones a continuación.
Cómo usar Make AI Agents
Agentes de IA te permite crear autónomo AI agents that handle tasks without manual input.
Aquí te mostramos cómo usarlo paso a paso.
Vea cómo funcionan los agentes de IA:
Ahora vamos a desglosar cada paso.
Step 1: Open the AI Agents Builder
Haz clic en "Agentes de IA" en la barra lateral izquierda de tu panel de control.
Select “Create new agent” to start building from scratch.
You’ll see a real-time visual map where you define your agent’s goal.
Step 2: Define Agent Instructions and Tools
Write clear instructions that tell the agent what to do.
Add tools the agent can use — like search, send email, or update data.
Assign a knowledge base so the agent has context for its decisions.
Así es como se ve:
✓ Control: Your agent should show assigned tools and instructions on the visual map.
Paso 3: Prueba e implementa tu agente.
Click “Run” to test your agent with a sample input.
Check the execution log to see each step the agent executed.
Once the output matches your goal, toggle the agent to “Active.”
✅ Resultado: Your AI agent now runs autonomously and handles tasks based on your defined instructions.
💡 Consejo profesional: Start with a simple agent that does one thing well. Add more tools and capabilities after you realize it works correctly. Complex agents with too many modules added at once are harder to debug.
Cómo usar la automatización de redes sociales
Redes sociales Automatización lets you schedule, publish, and manage posts across multiple platforms from one workflow.
Aquí te mostramos cómo usarlo paso a paso.
Vea la automatización de redes sociales en acción:
Ahora vamos a desglosar cada paso.
Paso 1: Crear un nuevo escenario
Click “Create a new scenario” from your dashboard.
Search for your social media app — Instagram, Facebook, X, or LinkedIn.
Add the module to your scenario canvas.
Step 2: Set Up Your Trigger and Actions
Choose a trigger — for example, “Watch new rows in Google Sheets.”
Connect the data output to your social media posting module.
Map the fields: post texto, image file, and scheduled time.
✓ Control: You should see connected modules with green lines showing data flow.
Step 3: Activate and Schedule
Click “Run once” to test with a sample post.
Check the execution details to confirm the post went live.
Set your schedule — typically every 15 minutes or once per hour.
✅ Resultado: Your social media posts now publish automatically from your content spreadsheet.
💡 Consejo profesional: Use a filter module to check for empty rows before posting. This prevents your scenario from sending blank posts and wasting credits on errors.
Cómo utilizar la automatización del flujo de trabajo de TI
Automatización del flujo de trabajo de TI lets you automate monitoring, incident response, and support ticket routing without writing code.
Aquí te mostramos cómo usarlo paso a paso.
Vea la automatización de flujos de trabajo de TI en acción:
Ahora vamos a desglosar cada paso.
Step 1: Select Your IT Monitoring App
Create a new scenario and search for your IT tool.
Popular choices include Jira, PagerDuty, Datadog, and Slack.
Add the “Watch” module to detect new incidents or alerts.
Step 2: Build Your Response Workflow
Add a router module to split the workflow based on alert severity.
Set up different paths — critical alerts go directly to Slack and PagerDuty.
Low-priority issues get logged in Jira for más tarde revisar.
Así es como se ve:
✓ Control: Your scenario should show branching paths with a router in the center.
Step 3: Add Error Handling and Activate
Haga clic con el botón derecho en cualquier módulo y seleccione "Agregar controlador de errores".
Choose “Resume” or “Rollback” based on your business needs.
Error handling makes sure your IT workflows keep running even when one service is down.
✅ Resultado: Your IT team now gets instant alerts routed to the right channels, reducing manual work and freeing the team to focus on fixing problems.
💡 Consejo profesional: Add a “Break” error handler to critical modules. This pauses the entire scenario instead of silently failing, so you never miss a high-priority alert.
Cómo usar Make Automate Generación de clientes potenciales
Automatice la generación de clientes potenciales. lets you capture leads from forms, ads, and websites — then route them directly to your CRM.
Aquí te mostramos cómo usarlo paso a paso.
Vea cómo funciona la automatización de la generación de leads:
Ahora vamos a desglosar cada paso.
Step 1: Connect Your Lead Source
Create a new scenario and add your lead capture app.
This could be a form constructor like Typeform, a landing page tool, or Facebook Ads.
Select the “Watch new submissions” trigger to start the process.
Step 2: Map Data to Your CRM
Add your CRM module — HubSpot, Salesforce, or Pipedrive.
Map each form field to the matching CRM campo.
Add a filter to skip incomplete submissions or test entries.
✓ Control: Run the scenario once and check that a test lead appears in your CRM.
Step 3: Add Notifications and Scoring
Add a Slack or email module to notify your sales team instantáneamente.
Use a router to send high-value leads to a priority channel.
This is the last step — toggle scheduling on and your lead pipeline runs 24/7.
✅ Resultado: Every new lead is automatically added to your CRM and your team is notified in real time.
💡 Consejo profesional: Use Make’s built-in data transformation modules to clean up phone numbers, names, and email formats before they hit your CRM. Dirty data causes more problems than missing data.
Cómo usar la automatización de contratos
Automatización de contratos lets you send, track, and manage contracts without manual follow-ups.
Aquí te mostramos cómo usarlo paso a paso.
Vea la automatización de contratos en acción:
Ahora vamos a desglosar cada paso.
Paso 1: Conecte su herramienta de documentos
Add your e-signature app — DocuSign, PandaDoc, or HelloSign.
Select the trigger “Watch for new deal in CRM” to start the workflow.
This creates a direct line between your sales pipeline and contracts.
Step 2: Build the Contract Generation Flow
Add a Google Docs or template module to generate the contract.
Map deal details — client name, pricing, terms — into the template fields.
Add the e-signature module as the next step to send it for signing.
✓ Control: Run once and confirm the contract is generated with correct details.
Step 3: Set Up Follow-Up Reminders
Add a delay module set to 48 hours after sending.
Connect a “Check status” module to see if the contract was signed.
If unsigned, send an automatic reminder email to the signer.
✅ Resultado: Contracts are generated, sent, and followed up on — all without your team lifting a finger.
💡 Consejo profesional: Add a final module that updates your CRM when the contract is signed. This keeps your pipeline data accurate and saves you from manually checking statuses.
Cómo usar Make Agentic Automation
Automatización agenética lets you build AI-powered workflows that make decisions and adapt based on data.
Aquí te mostramos cómo usarlo paso a paso.
Vea Agentic Automation en acción:
Ahora vamos a desglosar cada paso.
Step 1: Start with an AI Module
Create a new scenario and add an AI module — OpenAI, Anthropic, or Google AI.
You can use Make’s built-in AI provider or connect your own API key.
This is the brain of your agentic workflow.
Step 2: Add Decision Logic with Routers
Add a router after the AI module to create branching paths.
Each path is executed based on the AI’s output — positive, negative, or neutral.
This lets your automation adapt its behavior like a human would.
✓ Control: Your scenario should show the AI module connected to a router with multiple branches.
Step 3: Connect Actions and Test
Add action modules to each branch — send Slack messages, update databases, or write emails.
Run a test to watch the AI process sample data and pick the right path.
Refine the AI prompt until the output matches your expected results.
✅ Resultado: Your workflow now uses AI to read, analyze, and act on data — covering tasks that previously required a human in the loop.
💡 Consejo profesional: Use JSON transformation to structure AI responses before passing them to the next module. Additionally, this ensures your modules always receive data in the correct format and prevents random execution failures.
Cómo usar Make Visually Orchestrate Automation
Orquesta visualmente la automatización lets you design, manage, and debug complex workflows on a visual map.
Aquí te mostramos cómo usarlo paso a paso.
Watch Visual Orchestration in action:
Ahora vamos a desglosar cada paso.
Step 1: Open the Scenario Builder
Click “Create a new scenario” to open the visual canvas.
The canvas is where you drag, drop, and connect modules.
Each module corresponds to a specific action on a connected tool.
Step 2: Connect Modules and Add Logic
Drag a line from one module to another to create a data flow.
Add routers for conditional logic and filters for data refinement.
You can see the entire process from left to right on the canvas.
✓ Control: All modules should be connected with green lines showing the data path.
Step 3: Debug with Step-by-Step Execution
Click “Run once” to execute the scenario one time.
Each module shows the data it received and the data it passed along.
Click any bubble to inspect the input and output details for that step.
✅ Resultado: You can now build, test, and troubleshoot any automation visually — no coding or guesswork required.
💡 Consejo profesional: Use the “Note” feature to add labels directly on the canvas. This helps learners and team members understand what each section of a long scenario does without reading every module’s settings.
Cómo usar la automatización de la creación de facturas
Automatización de facturas lets you process invoices, extract data, and update your contabilidad system automatically.
Aquí te mostramos cómo usarlo paso a paso.
Vea la automatización de facturas en acción:
Ahora vamos a desglosar cada paso.
Step 1: Set Up the Invoice Trigger
Add an email or cloud storage trigger to watch for new invoices.
For example, “Watch new emails with attachments in Gmail.”
The file attachment becomes the input for the next module.
Step 2: Extract Invoice Data
Add a document parser or AI module to read the invoice file.
Map the extracted fields — vendor name, amount, due date, and line items.
Use a data transformation module to clean and format the output.
✓ Control: Run a test invoice and confirm all fields are extracted correctly.
Step 3: Send to Accounting Software
Add your accounting app — QuickBooks, Xero, or FreshBooks.
Map the extracted data to the correct contabilidad fields.
Add an approval notification to Slack or email before final processing.
✅ Resultado: Invoices are now processed automatically — from email to accounting — with zero manual data entry.
💡 Consejo profesional: Create a “duplicate detection” filter that checks the invoice number against your database. This prevents the same invoice from being processed twice and causing accounting errors.
Cómo usar la galería de plantillas
Galería de plantillas lets you start with pre-built workflows instead of building from scratch.
Aquí te mostramos cómo usarlo paso a paso.
Vea la galería de plantillas en acción:
Ahora vamos a desglosar cada paso.
Step 1: Browse the Templates Library
Haz clic en "Plantillas" en la barra lateral izquierda.
Use the search bar to find templates by app name or use case.
Filter by category — marketing, sales, HR, IT, and more.
Paso 2: Previsualizar e instalar una plantilla
Click any template to see a preview of the scenario structure.
Review the apps and modules it uses before installing.
Click “Use template” to add it directly to your scenarios.
✓ Control: The template scenario should appear in your scenario list.
Paso 3: Personalizar y activar
Open the template and connect your own app accounts.
Update any fields that need to match your business setup.
Test with “Run once” and then set your preferred schedule.
✅ Resultado: You’ve launched a working automation in minutes using a pre-built template — easy and fast.
💡 Consejo profesional: After installing a template, duplicate it before making changes. This way you always have the original to reference if you need to start over or share it with team members.
Obtén consejos y atajos profesionales.
After testing Make for over a year, here are my best tips.
Atajos de teclado
| Acción | Atajo |
|---|---|
| Ejecutar el escenario una vez | Ctrl + Enter |
| Add a new module | Click the “+” icon on the canvas |
| Deshacer la última acción | Ctrl + Z |
| Zoom to fit entire scenario | Ctrl + Mayús + F |
| Copy a module | Right-click → Clone |
| Search for apps | Type app name in the module search bar |
Características ocultas que la mayoría de la gente pasa por alto
- Scenario Blueprints: Export any scenario as a JSON blueprint and share it with your team or import it into another organization. This is great for agencies managing multiple client accounts.
- Custom Variables: On Pro plans and above, create variables that persist across scenario runs. Use them for counters, running totals, or session tokens that need to carry forward.
- Webhooks as Triggers: Instead of polling for changes (which uses credits), set up incoming webhooks so apps send data directly to Make. This is more efficient and lets your scenarios run instantly when data arrives.
- Data Store Module: Use Make’s built-in data store as a mini database. It’s perfect for caching lookup tables, deduplicating records, or storing state between scenario runs without needing an external database.
Errores comunes que debes evitar
Mistake #1: Using Polling Triggers When Webhooks Are Available
❌ Incorrecto: Setting a scenario to check for new data every minute, burning through thousands of credits even when nothing changes.
✅ Derecha: Use webhooks whenever the connected app supports them. This way Make only runs when new data actually arrives, saving credits and improving efficiency.
Mistake #2: Skipping Error Handling
❌ Incorrecto: Building long scenarios without any error handlers and then wondering why automations silently fail overnight.
✅ Derecha: Add error handling modules to every critical path. Use “Break” for must-not-fail processes and “Resume” for non-critical steps that can be retried later.
Mistake #3: Processing Items One by One Instead of in Batches
❌ Incorrecto: Using an iterator to process 100 records individually, consuming 100 credits when you could use an aggregator instead.
✅ Derecha: Group your data with an aggregator module first. Then process the batch in a single action — this keeps your credit usage low and scenarios running faster.
Realizar solución de problemas
Problema: El escenario deja de ejecutarse sin previo aviso.
Causa: You’ve hit your monthly credit limit or your connected app’s token expired.
Arreglar: Check your credit usage in the Organization dashboard. Re-authorize the app connection if the token has expired. Make sends email warnings at 80% and 100% credit usage — enable those notifications.
Problem: Data Is Missing or Empty in Output
Causa: The data mapping between modules is incorrect or the source field name changed.
Arreglar: Open the module settings and re-map the fields. Click “Run once” and inspect the data bubble on each module to see exactly what data was received and passed forward.
Problem: Webhook Not Triggering the Scenario
Causa: The webhook URL was not saved correctly in the external app, or the scenario is turned off.
Arreglar: Copy the webhook URL again from Make and paste it into the external app’s settings. Confirm the scenario is toggled “On.” Send a test request and check the webhook history in Make for incoming data.
📌 Nota: If none of these fix your issue, contact Make support through their help center or community forum.
¿Qué es Make?
Hacer es un no-code herramienta de automatización that allows users to automate complex processes involving multiple tools and services.
Think of it like a visual command center where you connect your apps and tell them how to talk to each other — without writing a single line of code.
Make was formerly known as Integromat and is now recognized as one of the top automation platforms in the world.
Users can visually design automations by combining blocks called modules, where each module corresponds to an action on a connected tool.
Make provides a platform for integrating AI applications into workflows to improve results and reduce manual work.
The platform offers over 3,000 pre-built apps for instant workflows and allows for the integration of custom systems.
If you’re interested in learning AI automation, Make also offers a free YouTube course called Herramientas de IA 101 that covers core AI concepts and step-by-step guides to prompting, JSON transformation, and error handling. The course consists of 10 lessons rolled out in two parts — perfect for learners who want to build a strong foundation.
Mira este breve resumen:
Incluye estas características clave:
- Agentes de IA: Create autonomous AI agents and manage them with a real-time visual map
- Automatización de redes sociales: Schedule and publish posts across all major platforms
- Automatización de flujos de trabajo de TI: Automate monitoring, incident response, and ticket routing
- Automatice la generación de clientes potenciales: Capture leads from forms and ads, then send them to your CRM
- Automatización de contratos: Generate, send, and track contracts without manual effort
- Automatización agencial: Build AI-driven workflows with decision-making capabilities
- Orquesta visualmente la automatización: Design and debug workflows on a drag-and-drop canvas
- Automatización de facturas: Process invoices from email to software de contabilidad automáticamente
- Galería de plantillas: Access hundreds of pre-built scenario templates to get started fast
Para una revisión completa, consulte nuestra Hacer una reseña.
Establecer precios
Esto es lo que costará Make en 2026:
| Plan | Precio | Mejor para |
|---|---|---|
| Gratis | $0 por mes | Individuals testing automation with up to 1,000 credits |
| Centro | $9 por mes | Solo users who need unlimited active scenarios and API access |
| Pro | $16 por mes | Power users who need priority execution and error handling |
| Equipos | $29 por mes | Small teams needing shared scenarios and role permissions |
| Empresa | Precios personalizados | Large organizations with SSO, auditoría logs, and 24/7 support |
Plan gratuito: Yes — includes 1,000 credits per month and access to all core features including AI agents.
Garantía de devolución de dinero: The Core plan includes a 30-day money-back guarantee.
💰 Mejor relación calidad-precio: Core plan at $9 per month — it gives you unlimited active scenarios and 10,000 credits, which is enough for most pequeña empresa automations.
Fabricación propia frente a alternativas
¿Cómo se compara Make? Este es el panorama competitivo:
| Herramienta | Mejor para | Precio | Clasificación |
|---|---|---|---|
| Hacer | Automatización visual sin código | $0–$29/mes | ⭐ 4.6 |
| n8n | Flujos de trabajo de código abierto autoalojados | $20/mes | ⭐ 4.5 |
| Pabbly | Automatización de pagos únicos | $249 (pago único) | ⭐ 4.1 |
| Zapier | Beginner-friendly automation | $0–$19.99/mo | ⭐ 4.5 |
| Estudio mental | Aplicación de inteligencia artificial edificio | $0–$48/mo | ⭐ 4.0 |
| Flowith | Flujos de trabajo creativos impulsados por IA | $13.93/mes | ⭐ 3.8 |
| Bucle de goma | AI workflow chaining | Gratis–$30/mes | ⭐ 3.7 |
| Replit | Code-based automation with AI | $0–$20/mes | ⭐ 4.4 |
| Google Opal | Google Workspace environment automation | Contáctenos para conocer precios | ⭐ 3.5 |
Selecciones rápidas:
- Mejor en general: Make — unmatched visual builder with 3,000+ app integrations and AI agent support
- Mejor presupuesto: Pabbly — one-time payment with no monthly fees for long-term savings
- Ideal para principiantes: Zapier — simpler interface that’s easy to learn and get started with fast
- Ideal para desarrolladores: n8n — self-hosted, open-source, and fully customizable for technical users
🎯 Crea alternativas
¿Buscas alternativas a Make? Aquí tienes las mejores opciones:
- 🔧 n8n: Open-source and self-hosted — ideal for developers who want full control over their automation infrastructure and data.
- 💰 Pabbly: Pay once and automate forever. Pabbly removes monthly fees, making it the best pick for budget-conscious businesses.
- 👶 Zapier: The most recognized name in automation. Zapier’s simple trigger-action format is perfect for beginners who want to start quickly.
- 🧠 Estudio mental: Focused on building AI-powered apps and chatbots. Great for teams that want to create herramientas de IA sin necesidad de programar.
- 🎨 Flowith: Built for creative AI workflows. Flowith lets you chain AI models together for content generation and research tasks.
- ⚡ Bucle de goma: Lightweight AI workflow builder. Gumloop focuses on chaining AI steps together for fast execution of AI-heavy tasks.
- 🚀 Replit: Code-first platform with AI assistance. Best for users who want to write custom automation scripts in multiple languages.
- 🏢 Google Opal: Designed for teams already embedded in the Google Workspace environment. Connects directly with Google Workspace services.
Para ver la lista completa, consulte nuestra Crear alternativas guía.
⚔️ Hacer comparaciones
Así es como Make se compara con cada competidor:
- Marca vs n8n: Make is easier to learn with its visual builder, while n8n gives you more control if you self-host. Make wins for non-technical users.
- Make vs Pabbly: Pabbly costs less long-term with one-time pricing, but Make offers far more apps and advanced features like AI agents.
- Make vs Zapier: Make gives you 10,000 credits for $9 compared to Zapier’s 750 tasks at $19.99. Make is the better value for high-volume automations.
- Make vs MindStudio: MindStudio is better for building standalone AI apps. Make wins when you need to connect AI with dozens of other business tools.
- Hacer vs Flowith: Flowith focuses on AI-driven creative workflows. Make covers a broader range of automation use cases beyond just AI.
- Make vs Gumloop: Gumloop is simpler for quick AI chains. Make offers deeper integrations and more mature error handling for production workflows.
- Hacer vs. Replit: Replit requires coding skills. Make lets you build the same automations visually, making it accessible to non-developers.
- Marca vs Google Opal: Google Opal works best inside the Google Workspace environment. Make connects 3,000+ apps across every major platform.
Empiece a usar Make Now
Aprendiste a usar todas las funciones principales de Make:
- ✅ Agentes de IA
- ✅ Automatización de redes sociales
- ✅ Automatización de flujos de trabajo de TI
- ✅ Automatice la generación de clientes potenciales
- ✅ Automatización de contratos
- ✅ Automatización agencial
- ✅ Orquesta visualmente la automatización
- ✅ Automatización de facturas
- ✅ Galería de plantillas
Siguiente paso: Elige una función y pruébala ahora.
Most people start with AI Agents or the Templates Gallery.
Tarda menos de 5 minutos.
Preguntas frecuentes
¿Para qué se utiliza Make.com?
Make.com is used to automate repetitive tasks and connect different apps and services without coding. You can automate processes like processing invoices, managing customer service inquiries, routing leads, and posting to social media. Businesses use it to save time and reduce manual data entry across their entire workflow.
¿Qué es Make.com y es gratis?
Make.com is a no-code automation platform that enables users to visually design workflows connecting 3,000+ apps. Yes, it has a free plan that includes 1,000 credits per month, two active scenarios, and access to core features including AI agents. You can start building automations right away without paying anything.
¿Cómo se conocía anteriormente a Make.com?
Make.com was formerly known as Integromat. The company rebranded to Make in 2022 to better reflect its expanded capabilities beyond simple integrations. The platform kept its core visual automation engine while adding AI agents, agentic automation, and a much larger app library.
¿Quién es el propietario de Make.com?
Make.com is owned by Celonis, which acquired the company in 2020. The platform is headquartered in Prague, Czech Republic, with offices around the world. Celonis is a process mining company, and the acquisition added Make’s visual automation capabilities to their portfolio.
¿La automatización de Make es gratuita?
Yes, Make offers a free plan with 1,000 credits per month. This is enough to test and run small automations. You can create up to two active scenarios on the free tier. For more credits and advanced features like error handling and priority execution, you’ll need to upgrade to a paid plan starting at $9 per month.
¿Make.com utiliza automatización mediante IA?
Make.com supports AI automation through its AI Agents feature, AI Toolkit, and native integrations with OpenAI, Anthropic, and Google AI. You can build agentic workflows where AI makes decisions, processes data, and takes actions automatically. Make’s AI Tools 101 course on YouTube covers core AI concepts for beginners who want to learn these capabilities.
¿Qué puedo automatizar con Make?
You can automate nearly any digital process — lead generation, social media posting, invoice processing, contract management, IT monitoring, customer support responses, data syncing between apps, and more. If it involves moving data between two or more tools, Make can typically handle it with its library of 3,000+ app integrations.
¿Es Make mejor que Zapier?
Make is better than Zapier for power users who need visual workflow building, conditional logic, and better pricing per credit. Make gives you 10,000 credits for $9 per month compared to Zapier’s 750 tasks at $19.99. However, Zapier is easier for complete beginners who want a simpler interface. Your choice depends on how complex your automations need to be.
¿Es difícil usar Make.com?
Make has a moderate learning curve. Expect 2–3 hours to feel comfortable building multi-step scenarios. The visual drag-and-drop builder is intuitive once you understand the concept of modules and data mapping. Beginners should start with the Templates Gallery and watch the tutorial videos. For more advanced topics like routers and iterators, set aside extra time to learn.
¿Cuánto cuesta Make.com?
Make.com starts at $0 per month on the Free plan with 1,000 credits. The Core plan is $9 per month, Pro is $16 per month, and Teams is $29 per month — all billed annually. Enterprise pricing is custom. Credit volumes scale with each plan, and you can purchase additional credits if you exceed your monthly limit.
¿Es Make.com más barato que Zapier?
Yes, Make is significantly cheaper than Zapier for the same volume of automations. Make offers 10,000 credits for about $9 per month while Zapier offers 750 tasks at $19.99. At higher volumes the cost gap widens even further. If you run hundreds of automations per month, Make will save you money.
¿Make.com tiene una versión gratuita?
Yes. Make’s free version includes 1,000 credits per month, access to 3,000+ apps, AI agents, and the visual workflow builder. You can run two active scenarios with a 15-minute minimum interval between runs. It’s a generous free tier that lets you build and test real automations before upgrading.
¿Cuál es la diferencia entre Make.com y Zapier?
The biggest difference is the workflow builder. Make uses a visual canvas where you drag and connect modules, while Zapier uses a linear step-by-step format. Make supports branching logic with routers, iterators, and aggregators — Zapier’s paths are more limited. Make is also cheaper per credit. Zapier is easier to set up for simple two-step automations.
¿Cómo cobra Make.com?
Make charges based on a credit system. Each module action in your scenario — like adding a row, sending an email, or fetching data — uses one credit. AI operations may use more credits depending on token usage. You choose a plan with a set number of monthly credits, and you can purchase extra credits at a 25% premium if you go over your limit.
¿De verdad se puede ganar dinero haciendo reseñas de productos?
Yes, many content creators earn income through product reviews using affiliate programs. By writing honest reviews and sharing referral links, you can earn commissions when readers sign up. Platforms like Make offer partner programs where reviewers can earn recurring revenue. The key is providing genuine value — not just promoting products for the sake of commissions.
English 
Spanish 
Chinese 
German 
French 
Arabic 
Russian 
Portuguese 
Japanese 
Korean 
Italian 
Turkish 
Dutch 
Polish 
Indonesian 
Thai 
Vietnamese 