Using 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
Assume the model knows nothing beyond what you tell it.
¡Gracias por tus comentarios!
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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
Assume the model knows nothing beyond what you tell it.
¡Gracias por tus comentarios!
