The Joget AI Agent Builder is a no-code/low-code tool that lets you build intelligent agents using a simple drag-and-drop interface. Just like Joget’s Form Builder, it is designed for ease of use, even if you do not have the necessary programming skills.
With this builder, you can create AI Agents that understand user input, rephrase questions, break down complex tasks, search the web for answers, interact with communities, schedule demos, and more. The agent handles both logic and language, powered by AI, so you can automate smart interactions and workflows quickly.
Joget AI Agent is a system powered by a large language model (LLM) like OpenAI’s GPT. It can understand natural language input, perform tasks, generate intelligent responses, and interact with external data or systems. AI Agents are commonly used for things like virtual assistants, automated support, content summarization, and workflow automation.
They do not just answer questions, they can follow instructions, make decisions based on context, and integrate with tools or APIs to take actions on your behalf.
When you create an AI Agent, it consists of two parts:
1. Define Agent
This is the brain of your AI Agent. You define:
Example: You can set a default prompt like "Summarize this document in simple terms" or "Find the latest pricing information."
2. Task Setup
The Task section defines what the agent will actually do. By default, this section is named First Task. You can create multiple tasks in a sequence, allowing the agent to process input step by step, such as retrieving data, formatting a response, or calling an API. Each task is made up of three key components, which are Prompt, Tool, and Enhancer.
Example: A task can fetch data, then another task formats it, and a final task sends an email with the result.
In Joget, AI Agent Tasks execute sequentially, one at a time. If multiple tasks are added (e.g., Task A, Task B, Task C), the agent processes Task A first, then Task B, and so on, following the order they are arranged.
Each task consists of components that also run in sequence, ensuring a structured execution process. The typical internal flow follows these steps:
Prompt:
The system first sends the defined prompt to the LLM (Large Language Model).
Tools (Optional):
If the response requires additional functionality, such as calling an API, retrieving data, or executing database queries, the appropriate tool is invoked after the prompt.
Enhancers (Optional):
Once the output is generated (after Prompt + Tool), Enhancers are triggered last. These allow you to store the output in a form field, process a variable, or modify the result before final use.
Users can expect both tasks and their internal components to execute in the arranged sequence, following this structured flow:
Prompt > Tool (if needed) > Enhancer (if defined).
Plugins Available in the Bundle:
Joget AI Agent Builder
This plugin bundle is compatible with Joget DX 8.1.0 and onwards.
You can download the AI Agent Builder plugin from the Joget Marketplace.
Once you have installed the AI Agent Builder plugin, proceed with the following steps:
After configuring an AI Agent, the AI Agent can now be incorporated into a Joget App as a Process tool. Refer to AI Agent Tool (Process Builder) for more information.
You can download the AI Agent Builder plugin from the Joget Marketplace.