a travel agent can ask the user which city they want to visit.
A mental wellness AI agent could ask how a user is feeling
a customer service agent will ask the user what they need help with
Depending on the flow of the conversation, there will be 1 or 2 variables that you will need to include to gather information.
For example, a travel AI agent could ask the user where they are going, if they want to book a flight, how many people they are traveling with, their budget, their preferred activities, etc.
Or a sales agent can ask what a turkey phone numbers user is looking for and then enter different conversation flows based on their answer.
Integrate
Whether it's syncing with HubSpot, WhatsApp, or your website, integration is the step that ensures your AI agent fits seamlessly into your existing workflows.
For example, if you are creating a customer support AI agent, it is essential to integrate it with your website so that it is ready to help visitors where they need it most.
Or, if your AI agent needs to share information about a product's availability, you'll want to connect it to your internal source of truth, often called a knowledge base.
A knowledge base can be anything from a table or document to an entire database containing the information your agent relies on to answer questions.
Add knowledge bases to autonomous nodes
For example, an HR AI agent will use a company's key policy documents as their knowledge base. When an employee asks how to handle a specific situation, the chatbot can use policy documents to inform its answer.
Testing and iteration
After creating your AI agent, the next step is to refine it. Testing and iteration are essential to success, but are often overlooked by creators eager to launch.
Your platform should offer a simulator within its studio, which allows you to practice interactions with your AI agent. This is the first step in testing and a crucial part of fine-tuning your agent during the development process.
After the initial build is complete, you can share a sample version of your agent with friends or colleagues using a URL. Testing it this way helps ensure that its functionality is ready before deployment.
As you test, you can improve your AI agent. And be prepared: this process will continue even after you deploy your AI agent. It's normal.
