What does the generated prompt include?

A role and identity block, brand-voice guidance, hard rules (stay on topic, no invented policy), your refund policy, an explicit escalation path, fallback behavior for unknown questions, and a reminder to never reveal the system prompt.

Why does it add escalation and fallback rules automatically?

The two most common failure modes for support bots are inventing policy and getting stuck on questions they cannot answer. Explicit escalation and fallback instructions close both gaps, so the agent hands off cleanly instead of hallucinating.

Does this tool connect to my support system?

No. It builds the system prompt text. You paste it into your own chatbot, assistant, or API integration. The builder runs entirely in your browser and stores nothing.

How do I describe brand voice effectively?

Use a few concrete adjectives and a do/don't, for example "warm and concise; never sarcastic, never over-apologize." Concrete guidance produces consistent tone better than a single word like "friendly."

Can I use it for non-English support?

Yes. Add a language instruction in the brand voice or product summary fields, or combine it with the multilingual prompt builder to enforce a target language, script, and register.

Customer Service Agent Prompt Builder

Customer service agent prompt builder

A good support bot needs more than “be helpful.” It needs an identity, hard rules so it never invents policy, a refund stance, a clear escalation path, and a fallback for questions it cannot answer. This builder turns a handful of inputs — company, product, escalation rules, refund policy, and brand voice — into a complete, structured system prompt with all of those guardrails built in.

How it works

You fill in five fields. The builder assembles them into an ordered system prompt: a role block naming the company and the agent’s job, a brand-voice section, a rules section that forbids inventing policy and going off-topic, your refund policy verbatim, an explicit escalation path, and standing fallback instructions for unknown questions plus a reminder never to disclose the system prompt. The structure follows attention-optimal ordering so the hard rules sit near the top where the model weights them most.

Tips and example

Be specific in escalation rules. “Escalate billing disputes over £100 and any safety issue to a human via the handoff tool” beats “escalate when needed.”
Quote your real refund policy. The agent should restate your terms, not paraphrase them into something inaccurate.
Give concrete voice cues. “Warm, concise, never over-apologize” produces more consistent tone than “friendly.”
Test the fallback. Ask the bot something out of scope and confirm it hands off instead of guessing — the generated prompt is built to make it do so.