文本记录English

Introducing batch calling for ElevenLabs Conversational AI

2m 42s502 字数72 segmentsEnglish

完整文本记录

0:00

Today at 11 Labs, we're releasing

0:02

outbound calling. So you can assign your

0:04

agent to call, for example, 50 people

0:07

and it will call them in parallel and

0:09

then give you the summary of each call

0:11

and you can see them in your dashboard

0:13

as usual. To show how helpful it can be,

0:15

I'm going to be creating an agent in two

0:17

minutes uh that can, for example, call

0:19

each um customer that is getting their

0:21

package delivered on a specific day and

0:23

tell them that they're going to get

0:24

their parcel at like 9:00 a.m. or

0:25

something. So, we've also released a new

0:28

feature where we will generate the

0:30

system prompt for you based on a prompt

0:31

itself. Um, so I'm going to copy that in

0:34

saying create an agent that calls our

0:35

customers called username and tells them

0:38

that parts will be delivered today at

0:39

9:00 a.m. So, I'm going to generate

0:42

that. Um, and it's going to understand

0:44

the persona and generate a simple prompt

0:46

for me based on our guidelines. Um, I'm

0:49

going to put in a placeholder here.

0:52

Let's make that Luke. I'll save

0:54

this. And then we can head over to our

0:57

outbound calling page. I'm going to

0:58

create a new batch call and we're going

1:01

to call this calling our customers. I'm

1:04

going to select the phone number that

1:05

we'll be calling uh and the agent we're

1:08

going to use. And then here you can

1:11

upload a list. Um it can be a CSV file

1:13

or an Excel spreadsheet. And we provide

1:15

you kind of a template you can use to

1:17

understand um what the format should be.

1:20

Um, and the great thing is that this can

1:21

contain dynamic variables and overrides

1:24

so that you can customize the

1:27

interaction to each person you're

1:28

calling. Um, and this can work really

1:31

well, um, especially with dynamic

1:32

variables. So, for example, before our

1:34

placeholder was Luke, but now I've set

1:35

it to Angelo, and that's the one the

1:37

user is going to

1:38

use. So, I'm going to submit this batch

1:41

call, and I should receive a phone call.

1:48

Hey there. Hi. Um, what's up?

1:53

Hello, Angelo. I'm calling to let you

1:54

know that your parcel will be delivered

1:56

today at 9:00 a.m. Do you have any

1:58

questions? No, that's all good. Thanks a

2:00

lot.

2:02

Happy to help. Have a great day. Thank

2:04

you.

2:06

Cool. So, now we can see our batch

2:09

calling view. Um, I can go into the

2:11

calling out customers and you can see

2:13

this is now marked as completed. And if

2:15

I go in here, I can see the

2:17

transcription of the conversation we

2:19

just had. So, we hope this is really

2:22

helpful. Um, especially for companies

2:24

that have to call hundreds of people

2:25

each day. Um what I would say is if you

2:29

are doing um automated outbound calling

2:31

campaigns um please refer to our TCPA

2:34

guidance and compliance um and make sure

2:37

what you have prior express approval for

2:39

these outbound calls.

解锁更多

免费注册以访问高级功能

互动查看器

观看带有同步字幕、可调节叠加层和完整播放控制的视频。

免费注册以解锁

AI 摘要

获取由 AI 立即生成的视频内容摘要、要点和结论。

免费注册以解锁

翻译

一键将字幕翻译成 100 多种语言。以任何格式下载。

免费注册以解锁

思维导图

将字幕可视化为交互式思维导图。一目了然地了解结构。

免费注册以解锁

与字幕聊天

提出关于视频内容的问题。直接从字幕中获取由 AI 驱动的答案。

免费注册以解锁

从您的字幕中获得更多

免费注册并解锁交互式查看器、AI 摘要、翻译、思维导图等。无需信用卡。