Build a customer support AI agent
Set up an AI agent that answers customer questions using your own knowledge base.
Last updated Jul 29, 2026
★ Recommended workflow
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.
- 1ChatGPTFree option
Input: Your existing FAQs, docs, or support history → Output: 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.
- 2CursorFree option
Input: The knowledge base from Step 1 → Output: 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.
- 3ZapierFree option
Input: The bot from Step 2 → Output: 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.
FAQ
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.