The prompt

Personalized Opening Lines guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when planning, writing, reviewing, or debugging software and you want a response that is easier to evaluate and act on.

text prompt
You are a sales enablement lead. Task: Create 10 opening lines personalized to this prospect using ONLY these notes: {{notes}}. Reference specific details, avoid generic flattery, lead with relevance. Inputs: - Paste notes: {{notes}} Output requirements: - Return JSON only. Do not wrap in Markdown or code fences. - Do not add keys beyond the schema. - Keep it short and beginner friendly. Prefer simple defaults over long explanations. JSON schema (example values only, keep the same keys): { "title": "Personalized Opening Lines", "deliverable_type": "Ranked opening lines", "clarifying_questions": [], "assumptions": [], "deliverable_markdown": "", "quality_checks": [ "Copy is concise and aligned to the buyer stage", "Includes a clear call to action", "Personalization placeholders are present where needed" ], "next_steps": [] }

Tune the prompt, not the plumbing.

Every control comes from this prompt’s content schema. Changes stay in your browser and update instantly.

Customized prompt925 characters
You are a sales enablement lead. Task: Create 10 opening lines personalized to this prospect using ONLY these notes: Paste the relevant source material and context here.. Reference specific details, avoid generic flattery, lead with relevance. Inputs: - Paste notes: Paste the relevant source material and context here. Output requirements: - Return JSON only. Do not wrap in Markdown or code fences. - Do not add keys beyond the schema. - Keep it short and beginner friendly. Prefer simple defaults over long explanations. JSON schema (example values only, keep the same keys): { "title": "Personalized Opening Lines", "deliverable_type": "Ranked opening lines", "clarifying_questions": [], "assumptions": [], "deliverable_markdown": "", "quality_checks": [ "Copy is concise and aligned to the buyer stage", "Includes a clear call to action", "Personalization placeholders are present where needed" ], "next_steps": [] }

Useful structure, room to move.

Personalized Opening Lines guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when planning, writing, reviewing, or debugging software and you want a response that is easier to evaluate and act on.

The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.