Build a customer support AI agent
Set up an AI agent that answers customer questions using your own knowledge base.
최근 업데이트 2026. 7. 29.
★ 추천 워크플로우
Prepare Knowledge → Build Agent → Connect
ChatGPT helps structure your support docs into a clean knowledge base, Cursor builds the bot logic, and Zapier connects it to your support inbox.
- 1ChatGPT무료 옵션
입력: Your existing FAQs, docs, or support history → 출력: A clean, structured knowledge base document
Knowledge base structuring prompt
Organize this raw support content: [PASTE CONTENT] into a clean Q&A knowledge base, grouped by topic, removing duplicates.
- 2Cursor무료 옵션
입력: The knowledge base from Step 1 → 출력: A working support bot that answers from that knowledge base
Support bot build prompt
Build a simple chat API that answers customer questions using only this knowledge base: [PASTE KB], and replies "I'll escalate this to a human" for anything outside it.
- 3Zapier무료 옵션
입력: The bot from Step 2 → 출력: The bot connected to your support inbox or chat widget
Connection checklist
Create a Zap that sends new incoming support messages to your bot's API and posts the reply back, escalating flagged messages to a human teammate.
자주 묻는 질문
Will it ever give wrong answers?
Restrict it strictly to your knowledge base and add an escalation path for anything uncertain to minimize this risk.
Do I need to keep updating the knowledge base?
Yes — treat it like documentation: review and update it as your product or policies change.