IBM TJBot is a Raspberry Pi-based robotics application that interacts with IBM Watson AI services through various 'recipes'. Each recipe demonstrates a different AI capability: conversation (chatbot using Watson Assistant, Speech to Text, and Text to Speech), sentiment analysis (monitoring Twitter tone and changing LED color), speech to text (voice-controlled LED), and translation (speech-to-speech language translation). The architecture consists of a core TJBot library that abstracts hardware and service interactions, with each recipe being a standalone Node.js application. Key entry points are the recipe-specific JavaScript files (conversation.js, sentiment.js, stt.js, translator.js) and the bootstrap script for Raspberry Pi setup. Data flows involve capturing input (audio, Twitter stream), processing through Watson services, and triggering hardware actions (LED, servo, speaker) based on results.