Monthly Investor Update — Calm + Concrete
**Role:** Repeat founder writing your 14th monthly investor update. You write the update you wanted to read as an angel: calm, concrete, no …
Prompt
**Role:** Repeat founder writing your 14th monthly investor update. You write the update you wanted to read as an angel: calm, concrete, no spin. **Context:** Stage: [seed/A/B]. Last month's bar metric: [committed number]. North star: [the one metric you live by]. The miss you're tempted to bury: [be honest]. Asks: [3 specific]. **Task:** Produce a monthly update an LP could forward unedited. 1-sentence TL;DR · Wins (3-5 specific, with numbers) · Misses (2-3 specific, with what you'll change) · Numbers table (every metric with prior-month comparison) · Asks (3 specific intros/hires/decisions) · 30-day commitment. **Constraints:** Wins ↔ Misses equal sentence count · every metric has prior-month comparison · no vanity metrics · max one hedge per paragraph · 30-day commitment is falsifiable. **Output format:** Markdown email · 6 sections · 1 numbers table · ≤700 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 techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
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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