GPT Live: voice agents that know when to listen

Voice conversations have their own rhythm. People pause to think, change an item halfway through a sentence, or talk over an answer because they remembered something important. GPT Live is our update for building voice agents around those moments, with a focus on what the conversation needs next rather than a fixed script.

The useful question is not whether an agent can say a polished sentence. It is whether a customer can finish a thought, correct a detail, and reach the right next step without starting over.

Let the conversation breathe

Natural turn-taking starts with knowing when to wait. A useful agent should leave room for a customer to finish a thought, recognize a short pause, and answer without forcing the person to restart. This is less about filling every silence and more about keeping the exchange easy to follow.

Handle interruptions without losing the thread

An interruption should not erase what has already been confirmed. When a customer corrects a quantity or asks a new question, the agent can acknowledge the change, keep the confirmed details, and ask only for what is missing. If the new request changes an earlier decision, it should say so and confirm before moving on.

Put the business rules in the conversation

A voice agent becomes useful when it has a clear boundary. Define the rules for hours, availability, delivery areas, order changes, and the moments that need staff review before the conversation reaches a promise.

• Rules: say what can be confirmed and what must be checked.
• Tools: use a lookup or action for current order details, availability, or scheduling instead of guessing from memory.
• Handoffs: route complaints, sensitive questions, exceptions, and requests outside the rules to a person with the context already collected.

Test with real conversations

Scripts check the happy path. Real conversations show where people speak over each other, change their mind, or give two details in one breath. Build a review set from real conversations with permission, and include a correction, an interruption, a policy question, and a request for a person.

1. Mark where the agent talked over the customer or missed a correction.
2. Check whether the right rule or tool was used before an answer was given.
3. Review whether a handoff carried enough context for the next person to help.
4. Fix one failure at a time and run the same conversations again.

GPT Live is a starting point for teams that care about conversation quality as much as the final action. Begin with one repeatable flow, make the boundaries explicit, and let real conversations show where the next improvement belongs.