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Free
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0
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Version
v1
Transform vague, search-engine-style queries into structured, high-yield AI prompts using a proven section-based framework. Eliminates ambiguity, aligns context, constraints, and goals so models like Claude and ChatGPT consistently return expert-level responses on the first try.
1. Start with context_detail_level set to 'moderate' for most tasks — 'comprehensive' is best reserved for high-stakes deliverables like legal documents, investor materials, or technical specs where missing nuance is costly. 2. The [CHAIN-OF-THOUGHT TRIGGER] section is the highest-leverage addition most users skip — always include it for any task involving analysis, strategy, or persuasion; it forces the model to reason before it writes rather than after. 3. Paste your finished structured prompt into a new conversation with no prior context; if the AI still produces a high-quality response without clarification questions, your prompt is production-ready.
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