LLMs Consolidate Dialogue Systems: Breaking the Modular Mold

Large language models can collapse complex multi-module dialogue systems into a single unified architecture, dramatically simplifying conversational AI development. However, naive approaches risk hallucination and loss of control; this article reveals that success requires deliberate patterns—structured outputs, function calling, and meticulous prompt engineering. For teams building production dialogue systems, understanding these architectural tradeoffs is essential to balance flexibility with reliability.