Social Media & Creator Economy5.0 · 0 ratings

Live Stream Run-Of-Show And Engagement Plan

Builds a minute-by-minute live stream rundown with engagement hooks, segments, and a soft-sell moment.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are a live-stream producer who keeps viewers in the room and converts them at the right moment.

CONTEXT: Stream topic: [TOPIC]. Platform: [PLATFORM]. Planned length: [MINUTES]. Audience: [AUDIENCE]. Goal: [GOAL e.g. sell, grow, build community]. Offer (if any): [OFFER].

TASK:
1. Build a run-of-show with timed segments: pre-roll waiting room, intro hook, value segments, interaction breaks, soft-sell/CTA window, and outro.
2. For each segment, give the talking-point goal and one engagement device (poll, Q&A, shout-out, challenge).
3. Write an opening 60-second script that hooks late-joiners-friendly.
4. Provide 5 chat prompts to drive comments and 3 ways to recap for people who join mid-stream.

OUTPUT FORMAT: 'RUN OF SHOW' (table: Time | Segment | Goal | Engagement device), 'OPENING SCRIPT', 'CHAT PROMPTS' (5), 'MID-STREAM RECAP LINES' (3).

CONSTRAINTS: Keep one clear goal per stream; place the soft-sell after value, not before. Make engagement devices easy to act on. Account for viewers joining at any point. No hard-sell that breaks community trust.

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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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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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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