Okay, here we go.
New agent is what I press.
And it's.
What type of agent would you like to create?
I'm just going to say blank agent.
Uh, create a name that reflects your agent's purpose.
Let's call it first agent.
And, uh, keep chat only off and press create agent.
And here it comes.
And what we see here, first of all, a system prompt which is defaulting to your helpful assistant.
You know exactly what that means.
Now the first message.
Hello.
How can I help you?
Today is how it begins.
You can see it says you can add variables using double curlies, very similar to expressions in N810.
The voice we've got is Eric, who is apparently smooth and trustworthy, will be the judge of that.
The language is English and we can select which model and Gemini 2.5 flash is the default.
Let's see if it if it allows us to to pick Gemini three flash as the oh look, it has the GPT OS in
there as experimental.
Now they have Gemini three Pro but not Gemini three flash, which for me was was only released yesterday
I think.
So that's not a surprise.
We'll stick with this for now.
So with this, this is giving us the the the all of the setup.
Now it's time for us to give it a try.
Okay.
Let's give this a shot.
We're going to press preview to see if we can run this thing.
Let's give it a try.
Okay.
Up comes this avatar thing and there's a cool AI agent button.
Let's give it a shot.
Hello.
How can I help you today?
Well.
Hello there.
Hello.
It's a pleasure to assist you.
How may I help you today?
Tell me a fun fact.
Did you know that a group of flamingos is called a flamboyance?
I always thought that was a rather fitting and delightful name for such colorful birds.
It certainly is.
And now tell me a joke about flamingos.
Why did the flamingo cross the road?
Because it was the chicken's day off.
Haha.
Very good.
Thank you.
You're most welcome.
Is there anything else I can help you with today?
So I think that was really impressive.
That of course is credit to Gemini two five flash for being the model that was that was responding to
us there.
But credit to 11 labs for making that so fast and so seamless and so quick to feel like we were actually
speaking with a voice agent.
So I think it's fabulous that it's so easy to have that kind of frictionless experience.
All right.
Let's take it a little bit further to have like a business conversation.
Let's say you are a helpful assistant for an airline.
You assist customers.
I spell that right.
Assist customers with their travel needs.
For your reference, a ticket from New York to London a return ticket.
Costs 599.
Okay, so we've given it some context.
We've given it some information.
Why don't we change the voice?
Who should we have here?
Uh, we can choose, uh, Miss Walker.
Warm, reassuring and round.
Jason.
Calm and soothing.
Uh, Stokes.
Relaxing.
Casual and warm.
Who would you like?
Who do you want, Mrs. Walker?
You say?
All right, Mrs. Walker, but hopefully you did.
That's who we'll choose.
All right, Miss Walker.
Miss Walker, it is.
And, uh, that's, uh.
Let's see how this goes.
Uh, and, um, we will, uh, we will we will press the preview button and give this a whirl.
Hello.
How can I help you today?
I'd like to go on a trip.
That sounds wonderful.
To help me plan your trip.
Could you please tell me where you'd like to go and when you're thinking of traveling?
Yeah.
I'd like to go from New York to London next week sometime.
A return ticket from New York City to London costs $599.
Would you like me to check availability for next week?
So there you have it.
It's a nice interaction, obviously.
It's able to use the context.
It's able to use the information we put in the system prompt.
This is relatively easy stuff.
It's just nice that it's so quick to put it into action.
Okay.
So we're now going to look through some of the more advanced features of 11 labs by going across the
nav here.
Start with workflow.
This it says it's new.
This should look familiar to you.
It looks quite like the canvas in N810.
And indeed it's where you can put in nodes.
And you can have things like use of tools to connect different agents to each other.
Now, we're not going to really use this because we're going to be using N810 for our workflow because
we know that and we're going to invest our time and energy in making that really, really strong.
And this is a little bit more raw.
This tool as it says it's somewhat new.
You can experiment with it if you'd like to see it.
Going to the templates button you can choose something like Qualification Flow and see here how it looks.
You've got an agent responsible for deciding whether or not the user is asking a technical issue or
a billing issue.
And if you click on these these issues, you can see that this is something which is able for the LLM
to make a decision based on a condition, the user has a technical issue.
If so, the LLM can choose effectively by using a tool to pass control over to a different agent, which
has a different prompt and which is going to then it's going to be using Miss Walker, the person we
just spoke to, to answer the technical support question.
Uh, actually, they, uh, it looks like all of them are using Miss Walker.
Uh, and, uh, this this is, uh, this is how you would then divert a billing question to something
with a different prompt.
So this would be an example of a template that would allow you to set up multiple different voice agents
and have the conversation be routed by the first agent, depending as it wishes, based on a description,
a condition that is given to the LM.
So it's pretty self-explanatory that that is the, uh, I'm going to put that in the bin now like that.
But that is the workflow, the the sort of miniature Nan functionality built into 11 labs.
The next tab along is branches.
This is where you can specify different versions of your agents and try out different possibilities.
Knowledge base is where you give your agent some background information, some knowledge that it can
use to to give it subject matter expertise.
So right now let's do this.
Let's press Add Document and choose Create Text right here.
And I'm going to call this Apple Product details.
You may have seen I already did this.
And I'm going to paste in something that I got ChatGPT to write, which is just a quick ton of information
about Apple products from their website.
Create text.
There it is.
We've just built Apple product details as part of an agent's knowledge base.
Okay.
Now we're going to go back to our agent and change the system prompt.
You are able to answer questions on Apple products.
And let's give this a try to see if it can look into its knowledge base.
Okay.
Let's pick another another person here.
We've had Miss Walker.
Let's now let's pick, uh, um, Jason.
Calm, meditative and soothing.
That sounds good to me.
Uh, Jason, we have, um.
Okay.
And now let's come back here and press preview, and we will give Jason a call.
Hello.
How can I help you today?
Hello.
I'm interested in buying an Apple Watch.
What's the latest version?
And the price?
The latest version of the Apple Watch is the Apple Watch Series 11, which has a reported launch price
of around $399.
There are also other models available, such as the Apple Watch SE three, which is more affordable,
and the Apple Watch Ultra three, which is designed for rugged use.
Well, thank you very much.
You're welcome.
Do you have any other questions about the Apple Watch or any other Apple products?
All right.
We'll leave it there.
So there you have it.
It was able to consult a knowledge base and answer questions on it.
And this is the first glimmer of the thing called rag.
That is going to be our other topic for this week, that we're going to build out in a more robust and
industrial strength way in N810 and connect the two together.
But you can see that there's this this very simple implementation through the UI that you get with,
with, uh, with 11 labs, that makes it so easy to give your agent subject matter expertise, domain
expertise, just using documents.
So you should give this a try.