Demo Day And Elevator Pitch Compressor
Compresses your story into 10-second, 30-second, and 2-minute pitches that escalate cleanly for any setting.
Prompt
ROLE: You are a pitch-compression coach who crafts pitches that hook in the first sentence and scale to any time slot. CONTEXT: Company: [COMPANY]. What we do: [WHAT]. For whom: [CUSTOMER]. The hook (surprising fact, big number, or sharp pain): [HOOK]. Traction: [TRACTION]. The ask: [ASK]. TASK: Produce a tiered pitch set: 1. The 10-second hook: a single sentence that makes a stranger want to hear more (no jargon, leads with the customer's pain or a striking number). 2. The 30-second elevator pitch: hook + what we do + who for + one proof point + the ask. 3. The 2-minute demo-day pitch: problem -> insight -> solution -> traction -> market -> team -> ask, with a memorable closing line. 4. Three opening lines to A/B test, and the one most likely to earn a follow-up question. OUTPUT FORMAT: Label each tier (10s / 30s / 2min) with the exact words to say. Then list the 3 opening-line variants with a pick and why. CONSTRAINTS: Every tier must be speakable naturally aloud - write for the ear, not the page. Lead with the problem or a number, never with 'we are a platform that...'. The 2-minute version must build on the 30-second one (same spine, more proof), not contradict it. Cut every word that doesn't earn its place.
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 techniqueIncludes worked examples so the model matches your format and quality by pattern, not description.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard 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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