I need an experienced AI-agent specialist who can design and build a conversational bot focused on handling customer-service inquiries. The goal is to give my users instant, friendly, and accurate answers without forcing them to wait for a human operator, all while maintaining the tone and knowledge base of our brand. Your task starts with selecting or fine-tuning an appropriate large-language-model framework, setting up the dialog flow, and then integrating the agent into the channels we use most (website chat widget first, with scope to add WhatsApp and Facebook Messenger later). Accuracy, context retention, and smooth hand-offs to a live rep when needed are essential. To keep expectations clear, here’s what I’d like delivered: • A complete conversational architecture (intents, entities, and fallback logic) • Connection to our existing FAQ / knowledge base for real-time answer sourcing • REST or WebSocket APIs plus webhook documentation so our devs can extend the bot • A short hand-over guide and two live walkthrough sessions so my team can monitor, retrain, and iterate on the model Experience with tools such as Dialogflow CX, Rasa, LangChain, or direct OpenAI / Azure OpenAI API calls is highly valued, but I’m open to alternative stacks if you can explain the benefits. Please share previous work on customer-service chatbots, outline your proposed approach, and tell me roughly how long it will take to reach an MVP we can test with real customers.