conversational AI assistant

Most conversational AI assistants fail in production not because the underlying language model is weak, but because the memory architecture, retrieval grounding, and tool-use loop are poorly designed. A developer can bolt a chat interface onto GPT-4 in an afternoon. Building a system that actually remembers users, retrieves accurate context, and recovers gracefully from failures…