video1.0<iframe src="https://www.loom.com/embed/a0a548744b8041bd85b509b144ea924c" frameborder="0" width="1670" height="1252" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12521670Loomhttps://www.loom.com12521670https://cdn.loom.com/sessions/thumbnails/a0a548744b8041bd85b509b144ea924c-b2dcc770a806e09c.gif300.328I have developed a filter agent using a knowledge base with data from the lift model, selecting specific examples and creating queries for snack-related information. The agent now generates dynamic payloads and JSON outputs based on user intent, hierarchy, and parameters like pricing and promotions. I have fine-tuned the agent for query parsing and mapping, ensuring accurate data retrieval. Testing is underway to verify the agent's functionality and effectiveness.