You can build your first AI agent for customer support to save time and improve efficiency.
Steps include defining the use case, choosing the right tech stack, feeding it context, integrating it into your support stack, and continuous training and improvement.
The AI agent should automate common support questions, integrate with various channels, and have access to updated information.
The process involves using AI engines like GPT-4, setting up a middleware layer, continuous monitoring, and expanding its functionalities beyond chat.