Make

Visual no-code platform for building AI-powered automations, workflows, and agents.

4.2 (6)

审阅者 Daniel Nikulshyn·更新 2026年5月

Automation No-Code AI Agents Workflow LLM Visual Builder Integrations

概览

Make is a visual automation platform that lets users connect apps, data, and AI models through a drag-and-drop interface. Instead of writing code, you map out scenarios on a canvas, linking triggers and actions across thousands of services to automate repetitive tasks and complex workflows. The platform supports AI-driven workflows and smart agents, allowing teams to integrate large language models, generate content, process documents, and orchestrate decision-making steps. It is used by individuals, startups, and enterprises to streamline operations across marketing, sales, IT, and customer support. Make offers a free tier and scales with paid plans based on operation volume, making it accessible for solo builders while supporting production workloads for larger organizations.

主要功能

Visual scenario canvas
Thousands of pre-built app connectors
AI and LLM integrations
Smart agent and workflow orchestration
Scheduling, webhooks, and error handling
Template library and team collaboration

使用场景

Automate Marketing Workflows

Connect marketing tools to automate lead routing, content generation with LLMs, and multi-step campaign tasks on a visual canvas without writing code.

AI-Powered Document Processing

Build scenarios that ingest documents, extract data using AI models, and route results to downstream apps like CRMs or spreadsheets automatically.

Customer Support Orchestration

Create smart agents that triage tickets, draft responses with AI, and trigger actions across helpdesk, chat, and internal tools to speed up resolutions.

Cross-App Sales Operations

Sync data between sales platforms, enrich leads, and automate follow-ups using pre-built connectors and scheduled triggers to streamline pipelines.

优点 & 缺点

优点

Intuitive drag-and-drop visual builder
Large library of app integrations
Supports AI models and custom agents
Flexible pricing including a free tier
Reusable templates speed up setup

缺点

Complex scenarios can be hard to debug
Operation-based pricing adds up at scale
Learning curve for advanced logic

评测

4.2

6 个评分的平均值。

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Elena Rossi

Does the job

Pretty happy overall. Template library and team collaboration just works and flexible pricing including a free tier. Operation-based pricing adds up at scale can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Liam O’Connor

Does the job

Pretty happy overall. Scheduling, webhooks, and error handling just works and flexible pricing including a free tier. but no dealbreakers — I'd recommend it to a friend without hesitating.

Olga Ivanova

Solid for our team

We rolled this out across the team last quarter and large library of app integrations. Scheduling, webhooks, and error handling fits neatly into how we already work, and template library and team collaboration removed a step we used to do by hand. Complex scenarios can be hard to debug, which is the main caveat, but it has held up under daily use.

Camille Laurent

Solid for our team

We rolled this out across the team last quarter and flexible pricing including a free tier. Thousands of pre-built app connectors fits neatly into how we already work, and scheduling, webhooks, and error handling removed a step we used to do by hand. Learning curve for advanced logic, which is the main caveat, but it has held up under daily use.

Daniel Schmidt

Does the job

Pretty happy overall. AI and LLM integrations just works and reusable templates speed up setup. Learning curve for advanced logic can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Carlos Mendoza

Solid for our team

We rolled this out across the team last quarter and intuitive drag-and-drop visual builder. Scheduling, webhooks, and error handling fits neatly into how we already work, and template library and team collaboration removed a step we used to do by hand. Complex scenarios can be hard to debug, which is the main caveat, but it has held up under daily use.