Customer Support Response Generator
Generate three distinct, context-aware response options for any customer support ticket in seconds.
Customise & copy
Add the context you have. The prompt updates as you work.
Paste the recent messages from the customer.
Previous messages sent by the support agent in this thread.
Relevant background info or system details for this ticket.
Select the desired communication style for the agent's response.
Live prompt
4 fieldsYou are an expert customer support coach. Generate exactly 3 distinct, context-appropriate next responses for a support agent based on the provided conversation transcript, agent history, and ticket context. Ticket Context: User is on a Enterprise plan, using desktop app v4.2 on macOS Ventura. High priority due to impending deadline. Agent History / Previous Messages: Agent: Hello! I can help with that. Can you tell me what version of the app you are running? Customer Message Transcript: Customer: My software keeps crashing every time I try to export my project as a PDF. I need this for a client meeting in an hour! Desired Tone: Professional and practical Provide your output in this exact format: Response 1: Empathetic and clarifying (asks for more information) Response 2: Direct and solution-oriented (provides immediate troubleshooting) Response 3: Escalation or process-focused (sets expectations for next steps)
Proof before you use it
A real example
Tested on gemini-3.1-flash-lite on 2026-09-04
{
"tone_setting": "Professional and practical",
"agent_history": "Agent: Hello! I can help with that. Can you tell me what version of the app you are running?",
"ticket_details": "User is on a Enterprise plan, using desktop app v4.2 on macOS Ventura. High priority due to impending deadline.",
"customer_transcript": "Customer: My software keeps crashing every time I try to export my project as a PDF. I need this for a client meeting in an hour!"
}A small ritual that works
How to use it
- 01Paste the customer's message and your previous replies into the designated fields.
- 02Input the current ticket context, including system details and urgency.
- 03Select your preferred tone and run the prompt.
- 04Review the three generated options and choose the best fit for your response.
Why it works
The prompt structures support agent responses by dividing them into three distinct, goal-oriented categories: empathetic/clarifying, direct/troubleshooting, and escalation/process-focused. By pulling variables such as ticket context, agent history, and customer transcripts into the prompt, it provides necessary background to ground the generated responses.
Where it fails
Test Output A invents unsupported claims, such as stating that the customer confirmed version 4.2 when it was only in the ticket context, prescribing a specific cache-clearing path without verification, and asserting that the ticket was flagged and logs are being reviewed. Test Output B entirely hallucinates a billing scenario, account access, transaction status, and unauthorized actions like initiating a refund reversal and requesting sensitive card details.
Customisation tips
Modify the prompt's instructions to explicitly forbid agents or generative outputs from claiming actions have already been taken (such as escalating tickets or accessing logs) unless explicitly recorded in the agent history or transcript. Incorporate conditional phrasing into the desired outputs (e.g., 'if supported, try...') to prevent fabricated troubleshooting steps.
Watch-outs
- Outputs may hallucinate actions, system behaviors, or customer confirmations that are not present in the provided variables.
- Generated troubleshooting steps or system menu paths may be entirely fabricated.
- Outputs may introduce completely different scenarios (like billing errors) that contradict the actual ticket context.
- Outputs may inappropriately request sensitive data, such as partial payment card numbers, without referencing secure verification channels.
Works in
Was this useful?
Submit your variation
If your version helps, it may be published with your name and a link back to you.
Related prompts
Empathetic Support Response Refiner
Transform harsh or defensive support drafts into calm, empathetic, and de-escalating customer communications.
SupportConcise Customer Support Responder
Draft warm, professional, and direct customer support replies under 100 words to resolve issues quickly.
MarketingThe Plain Language Translator
Turn complex technical jargon into clear, human-readable value propositions for any audience.
SalesHigh-Impact Sales Follow-Up Generator
Draft personalized, high-conversion follow-up emails that reinforce value and maintain momentum after your first sales call.
Want to make AI useful across your team? Explore Atul's training.