Build your own support chat agent instead of paying for an off the shelf one: teach it your top 10 customer problems, your fixes and your tone, test it on past questions, and have it hand upset customers to you: AI agent prompt

Jenny Rudd runs Dispute Buddy, an app that helps people find patterns of coercive control in their texts. In a LinkedIn comment in October 2026 she said they saved $3,600 a year by replacing their paid off the shelf support chat with a customer service agent they built themselves. She says it diagnoses and fixes problems customers hit in the app and talks to them in her voice, knowing they may be going through a hard time, and that it is 100 times better than the old one. Self-reported in a comment, with no setup details. When customers can be in a hard place, make reaching a person easy.

Customer SupportSupport chat agentintermediate

The prompt

1. Check what your current support chat costs a year: [cost]. Export the last [3 months] of chats or emails.
2. Ask AI: "From these conversations, list our 10 most common customer problems and how often each comes up."
3. Write the fix for each problem in plain steps, and paste 5 of your own replies so it can learn your tone.
4. Say: "Act as our support agent for [product]. Answer the way I would, walk the customer through the fix step by step, and keep replies short and kind."
5. Add handoff rules: "If the customer is upset, mentions [safety, money, legal or sensitive topics], or the fix doesn't work after two tries, stop and hand the chat to [name/email] with a summary."
6. Test it on 20 real past questions before going live, and note every wrong or made-up answer.
7. Fix the instructions, go live, and review a sample of chats every [week].
Safety: never let the agent invent policies, refunds or promises, and make a human easy to reach at every step.
Open in ChatGPT Open in Claude Perplexity Download as agent skill (SKILL.md)

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  1. Copy the prompt above.
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  3. Paste it into ChatGPT, Claude, Intercom and review the answer before you use it.

Works with: ChatGPT, Claude, Intercom, Zendesk

Real-world example: aibusinessplays.com/plays/app-founder-builds-own-customer-service-agen

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