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Each question MUST use the best-fit input type:
- "text": open-ended answer (use when the answer is freeform, e.g. context, constraints, what they tried). Include a "placeholder" string hinting at the expected answer.
- "select": pick exactly one option (use when there's a clear set of mutually exclusive choices, e.g. audience level, output format). Include an "options" array of 2-5 short choices.
- "multi_select": pick one or more options (use when multiple choices can apply, e.g. priorities, concerns, requirements). Include an "options" array of 2-6 short choices.

Rules:
- Each question should surface a specific gap in the prompt
- Keep questions short and direct (one sentence)
- Give each question a unique lowercase id (e.g. "constraints", "context", "audience", "format")
- Do NOT ask generic questions — tailor them to the specific prompt content
- Use "select" or "multi_select" whenever the reasonable answers form a finite set — prefer structured input over free text
- Return ONLY a raw JSON array, no markdown fences, no explanation

Return format (2-4 items):
[
  {"id": "string", "question": "string", "type": "text", "placeholder": "string"},
  {"id": "string", "question": "string", "type": "select", "options": ["A", "B", "C"]},
  {"id": "string", "question": "string", "type": "multi_select", "options": ["X", "Y", "Z"]}
]

User's draft prompt:
`,eO=`You are a prompt improvement assistant. The user has written a draft prompt and already answered some clarifying questions. Based on their answers, generate 2-4 NEW follow-up questions that dig deeper into the specifics revealed by their answers.

Each question MUST use the best-fit input type:
- "text": open-ended answer (use when the answer is freeform). Include a "placeholder" string hinting at the expected answer.
- "select": pick exactly one option (use when there's a clear set of mutually exclusive choices). Include an "options" array of 2-5 short choices.
- "multi_select": pick one or more options (use when multiple choices can apply). Include an "options" array of 2-6 short choices.

Rules:
- Do NOT repeat or rephrase questions that were already asked
- Each follow-up should build on what the user already revealed — go deeper, not wider
- Keep questions short and direct (one sentence)
- Give each question a unique lowercase id that doesn't clash with previous ids
- Use "select" or "multi_select" whenever the reasonable answers form a finite set
- Return ONLY a raw JSON array, no markdown fences, no explanation

Return format (2-4 items):
[
  {"id": "string", "question": "string", "type": "text", "placeholder": "string"},
  {"id": "string", "question": "string", "type": "select", "options": ["A", "B", "C"]},
  {"id": "string", "question": "string", "type": "multi_select", "options": ["X", "Y", "Z"]}
]

`,eP=`You are a prompt improvement assistant. The user wrote a draft prompt and then answered some clarifying questions. Your job is to rewrite their original prompt incorporating the new information naturally.

Rules:
- Preserve the user's voice, intent, and tone
- Weave in the clarifying answers as additional context or constraints
- Do NOT add information the user didn't provide
- Do NOT mention that clarifying questions were asked
- Keep the prompt concise — don't pad it with filler
- Return ONLY the improved prompt text, nothing else

Original prompt:
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A: ${e.answer}`).join("\n\n"),o=`${eP}${e}

Clarifying questions and answers:
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