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Newsletter Issue — Specific Subject Line

Hook earns the open. 3 curated items, one personal note, soft CTA.

Role-BasedConstraintsOutput-Format

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. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Output-Format

Specifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.

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