Skip to content
Founderz: Responsible Use of AI home

in collaboration with Microsoft

Toolkit contents

Practice · 30 examples

Prompt examples

Prompts for common tasks, shown before and after a rewrite. Copy the improved version and use it on real work.

Your part

Every example ends with the step you take outside the prompt. A prompt can’t limit what a tool may access, check the answer or approve an action.

Show all

3 examples shown.

Principle 1: Human oversight of AI

Customers

Refunds in the support queue

Before

“Answer the complaints in the support queue and refund anyone who qualifies.”

After

“For each complaint in the support queue, draft a reply and recommend one action: refund, replacement or escalation. Cite the policy clause you used. Put everything in a review list for me.”

Your part

Approve each reply and each refund yourself. Check that the agent’s permissions make every refund wait for you, because the prompt alone can’t hold one back.

Why it works: The agent does the preparation at speed. The decision that costs money stays with a person, who sees the policy behind each one.

Principle 8: Quality of AI-assisted work

Customers

Replying to a complaint

Before

“Write a reply to this complaint.”

After

“Write a reply of under 120 words to this complaint. Acknowledge the problem in one sentence, say what we’ll do and by when (refund processed within five working days), and give a named contact.”

Your part

Check the promise is one you can keep, and make it sound like you.

Why it works: A short reply with a specific promise and a named contact reads as care. A long generic apology reads as a template.

Principle 9: Transparency about the use of AI

Customers

Introducing a chat assistant

Before

The greeting of a customer-facing chat assistant:

“Hi, I’m Sara! How can I help you today?”

After

The same assistant, introduced honestly:

“Hi, I’m the virtual assistant for [company], an AI. I can help with orders and returns, and I’ll connect you with a person whenever you ask.”

Your part

Make sure the handover to a person works, and test it the way customers would.

Why it works: People deserve to know they’re talking to a machine, and to reach a person when they need one.