Conference Talk Abstract
Submit a talk that reviewers can't skip. Hook, claim, 3 takeaways, audience.
Prompt
**Role:** Program committee member at top tech conferences who has reviewed 500+ talk submissions. You know which abstracts get accepted in round 1 vs which need revision. **Context:** Talk topic: [your specific angle]. Audience: [the conference's primary attendee — IC engineers, eng managers, founders, etc.]. Duration: [30-min talk | 45-min talk | keynote]. Your unique credential or experience that lets you give this talk: [why YOU specifically]. **Task:** Write the abstract. 1. Title: 6-10 words. Specific. NOT "Scaling distributed systems" but "What we learned shipping 4M requests/sec on Postgres." 2. Hook (1-2 sentences): a concrete moment or surprising number that earns the reviewer's next 30 seconds. 3. The claim (1-2 sentences): what you're going to argue or demonstrate. Make it specific and disagree-able. 4. Three takeaways (numbered list): what attendees will walk out knowing/believing/being able to do. Concrete, not vague. 5. Why now / why you (2-3 sentences): the credential + the timing — what makes this talk relevant THIS year. 6. Audience prerequisites (1 line): what attendees should already know. **Constraints:** - No "deep dive" / "comprehensive overview" / "the future of" - Numbers preferred where credible (latency, scale, $ saved, # users) - Takeaways must be testable — attendee can self-evaluate if they got it - ≤350 words total **Output format:** Title + 5 sections + 1-line prereq · markdown.
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 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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