"AInimal Go!" is an innovative project that combines specialized vision models and large language models (LLMs) to create an interactive app where users can upload or capture images of animals for identification and engagement in unique conversations. Utilizing the ResNet18 model for rapid animal classification, the app integrates the Cohere LLM API, orchestrated by LlamaIndex, to roleplay as the identified animal and provide informed responses based on a knowledge base of nearly 200 Wikipedia articles. This approach offers a cost-effective alternative to using GPT-4 Vision for multimodal tasks, demonstrating the adaptability of specialized models in multi-modal applications. The app, developed using Streamlit for the user interface, leverages the agility and precision of ResNet18 for animal identification, setting the stage for engaging and informative interactions managed by the language model.