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Lära Using AI Agents in Make | RSS Automation with AI Agents
Workflow Automation with Make.com

bookUsing AI Agents in Make

AI agents are used in Make to transform input data into meaningful output. Common use cases include processing, cleaning, summarizing, classifying, and generating content.

What Changed in Make

Make now includes a native AI Agents feature (currently in beta).

Before

  • HTTP requests
  • API keys
  • External model endpoints

Now

  • AI agents are created directly inside Make
  • Easier setup
  • Cleaner scenarios
  • Tighter integration with existing modules

This agent will be connected to the RSS workflow built earlier.

Prompting Basics (Quick Reminder)

AI does not infer intent well. It follows instructions.

Good prompting means

  • Clear role definition
  • Explicit input description
  • Specific output requirements
  • Clear constraints
Note
Note

Assume the model knows nothing beyond what you tell it.

question mark

What is the most important factor for getting reliable output from an AI agent in Make?

Select the correct answer

Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 4. Kapitel 3

Fråga AI

expand

Fråga AI

ChatGPT

Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal

Suggested prompts:

What are some examples of how AI agents can be used in Make?

How do I create an AI agent in Make?

Can you explain how to connect an AI agent to an RSS workflow?

bookUsing AI Agents in Make

Svep för att visa menyn

AI agents are used in Make to transform input data into meaningful output. Common use cases include processing, cleaning, summarizing, classifying, and generating content.

What Changed in Make

Make now includes a native AI Agents feature (currently in beta).

Before

  • HTTP requests
  • API keys
  • External model endpoints

Now

  • AI agents are created directly inside Make
  • Easier setup
  • Cleaner scenarios
  • Tighter integration with existing modules

This agent will be connected to the RSS workflow built earlier.

Prompting Basics (Quick Reminder)

AI does not infer intent well. It follows instructions.

Good prompting means

  • Clear role definition
  • Explicit input description
  • Specific output requirements
  • Clear constraints
Note
Note

Assume the model knows nothing beyond what you tell it.

question mark

What is the most important factor for getting reliable output from an AI agent in Make?

Select the correct answer

Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 4. Kapitel 3
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