Master Make.com with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Pick a concrete workflow, such as lead routing, ticket triage, invoice sync, or content approval. Create a Make scenario and choose the trigger app or webhook that starts the automation. Connect the required apps, APIs, or AI modules and configure credentials. Add routers, filters, error handling, and data transformations so the scenario handles expected exceptions. Test the scenario with sample records, then enable scheduling, monitoring, and alerting before scaling usage.
💡 Quick Start: Follow these 1 steps in order to get up and running with Make.com quickly.
Explore the key features that make Make.com powerful for automation & workflows workflows.
Make counts each module action in a scenario as one credit, such as adding a row to Google Sheets or fetching data from Gmail. The Free plan includes 1,000 credits/month, while Core, Pro, and Teams are shown at 10,000 credits/month starting points on the pricing page. This means a scenario with many modules or many processed records can consume credits quickly, even if the workflow looks visually simple. Teams should estimate the number of modules, run frequency, and records per run before choosing a plan.
Yes, Make has several AI-focused capabilities listed on its pricing page, including 350+ AI apps, Make AI Agents in beta, Make AI Toolkit, AI Content Extractor, AI Web Search in beta, and support for Make's AI Provider or a user's own LLM key. It is well suited for workflows where AI is one step in a broader business process, such as classifying support tickets, summarizing form submissions, extracting structured text from files, or enriching CRM records. It is less appropriate as the only platform for advanced model development, evaluation, or custom agent runtime engineering.
Free costs $0/month and includes 1,000 credits/month, 2 active scenarios, 15-minute scheduling, a 5-minute execution limit, and 5 MB maximum file size. Core starts at $12/month for 10,000 credits/month and adds unlimited active scenarios, 1-minute scheduling, increased data transfer, and Make API access. Pro starts at $21/month and adds priority scenario execution, custom variables, and full-text execution log search, while Teams starts at $38/month and adds team roles plus shared scenario templates. Enterprise adds custom pricing, enterprise app access, advanced security, higher limits, and 24/7 Enterprise support.
Make includes several enterprise-oriented features, including company SSO, domain claim, audit logs, analytics dashboards, overage protection, on-prem agents, access to enterprise apps, and 24/7 top-priority assistance from senior specialists. The company states that Make is used by 400,000+ customers in 200+ countries and territories, and that it is part of Celonis, which Make describes as valued at $13 billion. Enterprise teams should still validate data residency, compliance, support terms, credit volumes, and connector coverage before standardizing on the platform.
Make is a hosted visual automation platform, while CrewAI, AutoGen, LangGraph, and Semantic Kernel are more developer-oriented frameworks for building AI agents or application logic in code. Choose Make when the goal is connecting 3,000+ business apps, managing workflows visually, monitoring scenario runs, and enabling non-engineering teams to own automations. Choose a framework when you need custom agent state management, source-controlled application code, self-hosted runtime control, or deep integration inside a software product.
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Tutorial updated March 2026