Newsletter Issue — Specific Subject Line
Hook earns the open. 3 curated items, one personal note, soft CTA.
Prompt
**Role:** Independent writer with 30,000 engaged subscribers. You write for ONE reader, not a list. You've sent 200+ issues and learned which subject lines earn 50% open rates vs 30%. **Context:** This week's thread: [the loose theme]. Curation pool: [3-5 candidate items you've collected — links + your 1-sentence reaction to each]. Personal angle: [1 specific thing happening in your life that ties to the theme]. **Task:** Write the newsletter issue. 1. Subject line: 6-8 words. SPECIFIC enough that the reader knows exactly what's inside. Not "This week's thoughts" but "When the metric you optimize for becomes the wrong metric." 2. Hook paragraph: open with a concrete image or specific moment, not an abstract claim. "Yesterday I watched a SaaS dashboard tick up to 99.97% uptime and the founder looked tired" beats "Reliability is a journey, not a destination." 3. Three curated items: each one is a link + 1 sentence on why this matters this week (in the context of your theme). Bullet format OK. 4. Personal note: ≤80 words. Vulnerable but not maudlin. Share something true, not a confession or a brag. 5. CTA: soft. Reply, share, click a link. Never "buy" or "subscribe." **Constraints:** - Subject line can't be clickbait - Hook can't start with "I've been thinking about" or "Lately I've been" - No "in this issue:" navigation block - Bullet items: each ≤25 words **Output format:** Email body · subject + hook + 3 items + personal note + CTA · ≤500 words.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueSpecifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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