GenerativeAgent uses LLMs and other generative AI technology, allowing for human-like interactions and reasoning but also requiring careful consideration on the instructions and functions you define to ensure it behaves as expected. Creating successful tasks is an iterative process. We have multiple resources and tools to help improve task performance:

Task Best Practices

A list of different strategies and approaches to improve task performance.

Conditional Templates

Use conditional logic to dynamically change the instructions shown to GenerativeAgent.

Enter Specific Task

Learn how to have GenerativeAgent enter a specific task.

Trial Mode

Use Trial Mode to test whether GenerativeAgent can use new Functions correctly before full rolling them out in production.

Keep Fields

Use Keep Fields to limit the data saved when calling a function.

Mock API

Learn how to use mock APIs for testing and development.

Test Users

Configure test users for development and testing purposes.

Input Variables

Learn how to use input variables in your tasks and functions.