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The article reviews the architecture of a chatbot system that converts conversational input into structured data for a constraint solver, emphasizing reliability by separating LLM use for language understanding from deterministic code for decision-making.
The author describes using the MiniZinc constraint solver to solve The New York Times Pips puzzle, demonstrating how to express constraints and find solutions efficiently.