Make(旧Integromat)

AI 자동화

A platform that automates 워크플로 with a visual builder. Features AI capabilities with 1,800+ app 연동s for building complex 자동화 scenarios.

4.4
Web

Make(旧Integromat)이란?

Make (formerly Integromat) is a platform for building 워크플로 자동화 with a visual 드래그 앤 드롭 interface. It integrates with over 1,800 apps and services, including robust 연동 AI 서비스s like OpenAI, Anthropic, and Google AI. 사용자가 incorporate AI 텍스트 생성, image analysis, sentiment analysis, and data extraction within 워크플로. Compared to Zapier, Make stands out with its ability to build advanced 자동화 scenarios with complex branching, loops, and error handling. Its data transformation and mapping capabilities are powerful, flexibly handling data format conversion between different apps. The 무료 플랜 allows up to 1,000 operations 월, serving everyone from individuals to enterprises.

Make(旧Integromat) 스크린샷

요금제

1Free (1,000 operations/month)
2Core $10.59/month
3Pro $18.82/month
4Teams $34.12/month
5Enterprise: Contact for pricing

주요 기능

Visual 워크플로 builder
1,800+ app 연동s
AI 연동 (OpenAI, Anthropic, Google AI)
Branching, loops, and error handling
Data transformation and mapping
Webhook and API 연동

장점 및 단점

장점

  • Visual 워크플로 builder for constructing complex 자동화s
  • Integrates with 1,800+ apps
  • Supports advanced logic including branching, loops, and error handling
  • Native 연동 AI 서비스s like OpenAI and Anthropic
  • 무료 플랜 allows up to 1,000 operations 월

단점

  • Somewhat 가파른 학습 곡선 for advanced features
  • UI is slightly more complex compared to Zapier
  • Less 일본어-language 문서 and 커뮤니티 than Zapier

자주 묻는 질문

Q. Can Make be used for free?

A. 네, the 무료 플랜 allows up to 1,000 operations 월. More operations and advanced features require the Core ($10.59/month) plan or higher.

Q. How does it differ from Zapier AI?

A. Make offers a visual 워크플로 builder for constructing scenarios with complex branching and loops, providing higher technical 유연성. Zapier is stronger in simpler 'trigger-action' 자동화s and is designed to be more 초보자 친화적인.

Q. Is programming knowledge required?

A. Basic 자동화s can be built with 노코드. Basic knowledge of JSON manipulation can be helpful for advanced data transformation and custom logic, but it is not required.

관련 도구

AIpedia에서 더 탐색하기