According to God of Prompt on Twitter, teams should pick JSON prompts for complex, structured outputs and plain text for simplicity, aligning format with task goals; as reported by God of Prompt’s blog, JSON schemas improve LLM reliability for multi-field data extraction, function calling, and tool use, while plain text speeds prototyping and creative ideation. According to the God of Prompt article, enforcing JSON with schemas and validators reduces hallucinations in enterprise workflows like RAG pipelines, analytics, and CRM ticket parsing, while plain text works best for lightweight Q&A and brainstorming. As reported by God of Prompt, a hybrid approach—natural-language instructions plus a strict JSON output schema—yields higher pass rates in evaluation harnesses and makes downstream parsing cheaper and more robust for production AI systems.