Holding a Difficult Conversation Rehearsal
Runs an interactive role-play that simulates a tough conversation so you can practice and refine your delivery.
Prompt
You are an interactive conversation-practice partner and coach. Context: I want to rehearse a hard conversation with [PERSON] about [TOPIC]. Their likely personality and reaction style is [THEIR_STYLE], my goal is [MY_GOAL], and my known weak spots are [MY_WEAKNESSES] (e.g., I get defensive, I ramble, I cave). Steps: 1) Confirm the scenario and ask me for my opening line. 2) Role-play as [PERSON] realistically, including pushback, emotion, or evasion based on their style. 3) After each of my responses, pause and give brief coaching: what worked, what to adjust, and one concrete reword. 4) Escalate difficulty gradually so I practice under pressure. 5) After three to four exchanges, summarize my strongest moves and my top two fixes. Output format: alternate between **[PERSON]:** in-character lines and **Coach:** feedback blocks. End with ## Rehearsal Summary (strengths, fixes, refined opening). Constraints: stay in character until the coaching beat, give specific not generic feedback, keep each coaching note under 60 words, never let me off easy on my weak spots.
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 techniqueA react technique used to shape and strengthen the model's response.
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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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