The Future Of AI Agents With Dharmesh Shah | INBOUND 2024

Summary

In a keynote at INBOUND, Dharmesh Shah, HubSpot's CTO, celebrates the company's 18th anniversary and reflects on the rapid advancements in AI, particularly in the past year. He introduces 'Agent.AI', a professional network for AI agents, and 'Agent Builder', a tool enabling anyone to create their own AI agents without coding. Shah envisions a future where AI agents collaborate with humans, amplifying human capabilities rather than replacing them, and predicts widespread adoption of AI agents in various business applications.

Takeaways

• 🎉 HubSpot celebrated its 18th anniversary and has a history of memorable moments at INBOUND.
• 👨‍👦 The speaker humorously compared the growth of his son to the evolution of AI, from a 'tiny language model' to a 'teenage language model'.
• 🚀 A decade ago, HubSpot launched its CRM, and more recently, a year ago, it introduced products with generative AI like ChatSpot, which has evolved into Breeze Copilot.
• 📈 AI models are advancing rapidly, with larger parameters and context windows, enabling better reasoning and writing capabilities.
• 💡 Moore's Law, which predicted computers would double in power every 18 months, has been outpaced by AI models, which are doubling in capabilities every six months.
• 🌟 OpenAI's new model, GPT-O1, has been launched, offering impressive reasoning abilities at a PhD level.
• 🔄 AI models are becoming multimodal, interpreting images, audio, and video, not just text inputs, enhancing their functionality.
• 🤖 AI agents are defined as software that uses AI and tools to accomplish goals requiring multiple steps, and they are becoming more accessible and capable.
• 🌐 Agent.AI is introduced as a professional network for AI agents,预示着未来的团队将由人类和AI代理混合组成.
• 🛠️ Agent Builder is announced, allowing non-developers to easily create AI agents,预示着AI的进一步民主化和普及化.

Q & A

What significant milestone did HubSpot recently celebrate?

HubSpot turned 18 years old this past June.

What was launched 10 years ago at HubSpot?

The HubSpot CRM was launched 10 years ago.

What is the significance of the year mentioned in the context of AI?

The speaker refers to this year as the year of AI agents, highlighting the rapid advancements in AI technology.

What does Moore's Law state, and how does it relate to AI?

Moore's Law states that computers double in power every 18 months. The speaker notes that AI models are doubling in capability every six months, indicating faster growth in AI technology.

What are some examples of different AI models mentioned?

Examples include OpenAI's GPT for reasoning, Claude 3.5 for writing, Google Gemini for large context windows, and Llama for being open source.

What new model was launched by OpenAI, and what is its capability?

OpenAI launched a new model called GPT o1, which is capable of graduate-level reasoning and can share its thought process.

What is an AI agent as defined in the presentation?

An AI agent is software that uses AI and tools to accomplish a goal that requires multiple steps.

What is the purpose of the conversion rate optimizer agent?

The conversion rate optimizer agent analyzes a webpage and provides suggestions to improve conversion rates based on its expertise.

How does the company research agent assist sales representatives?

The company research agent gathers information from various online sources about a company, compiling it into a comprehensive report to save time for sales reps.

What is the Agent Builder, and who can use it?

Agent Builder allows users to create their own AI agents easily, and it is designed for anyone, not just developers, to build agents with a few clicks.

Outlines

00:00

🎉 HubSpot's Journey and AI Advancements

The speaker reflects on HubSpot's 18-year history and shares personal and professional milestones, including the launch of HubSpot CRM and the introduction of generative AI products like ChatSpot, which evolved into Breeze Copilot. The speech sets the stage for a discussion on AI agents, highlighting the rapid growth and capabilities of AI models, and drawing a parallel to Moore's Law. The speaker also humorously compares the advancements in AI to the 1980s trend of corduroy pillows and teases upcoming software developments and dad jokes.

05:04

🚀 The Evolution and Impact of AI Agents

The speaker delves into the capabilities of AI agents, emphasizing their ability to perform tasks requiring multiple steps and their potential to take on increasingly sophisticated goals. The introduction of GPT-O1 by OpenAI is highlighted for its advanced reasoning capabilities, which are likened to a graduate student's PhD-level thinking. The speaker also discusses the multimodal nature of AI models, now capable of processing images, audio, and video, and provides a vision of the future where AI agents will be integral to business operations.

10:05

🛠️ Introducing Agent.AI: The Professional Network for AI Agents

The speaker introduces Agent.AI, a professional network designed for AI agents, which allows users to discover, hire, and integrate agents into their teams for various business functions like marketing, sales, and customer service. The network is presented as a platform where agents can be added to teams for free, with new agents being developed and added regularly. The speaker also shares personal anecdotes about working on Agent.AI and the excitement surrounding its development.

15:07

🔍 Practical AI Agents for Marketing, Sales, and Customer Delight

The speaker showcases practical applications of AI agents in the context of marketing and sales, focusing on conversion rate optimization and company research. The 'Conversion Rate Optimizer Agent' is presented as a tool that can analyze webpages and suggest improvements to increase conversions. Similarly, the 'Company Research Agent' is highlighted for its ability to compile comprehensive reports on companies by aggregating data from various online sources, streamlining the research process for sales representatives.

20:08

🌟 Empowering Users to Build Their Own AI Agents with Agent Builder

The speaker announces Agent Builder, a tool that enables users, regardless of their coding expertise, to create their own AI agents. The process is made accessible through a drag-and-drop interface, allowing for the integration of various AI models and data sources. The speaker demonstrates the creation of an 'Executive Briefing Agent' and emphasizes the potential for users to build agents tailored to their specific needs. The presentation concludes with a vision of a future where AI agents are as ubiquitous and transformative as apps are today.

25:11

🌐 The Vision for a Collaborative Future with AI Agents

The speaker outlines HubSpot's vision for integrating AI agents into the next generation of customer platforms, emphasizing the need for a smart CRM, smart engagement apps, and an agent ecosystem. The analogy of the iPhone and the App Store is used to illustrate the potential impact of AI agents on business operations. The speaker reassures the audience that AI agents are not meant to replace human value but to enhance it, allowing humans to focus on the uniquely human aspects of their work. The speech concludes with a call to action for the community to embrace the potential of AI agents and a promise to support users on their journey with AI.

Keywords

💡AI agents

AI agents refer to software applications that utilize artificial intelligence to perform tasks that require multiple steps autonomously. In the video, the speaker discusses the evolution and capabilities of AI agents, positioning them as the future of technology in business processes. The speaker's narrative emphasizes how AI agents can transform various aspects of business operations, such as marketing, sales, and customer service.

💡Generative AI

Generative AI refers to a subset of artificial intelligence that generates new content based on existing data. In the context of the video, generative AI is highlighted as a foundation for new products like ChatSpot, which evolved into Breeze Copilot. This technology is portrayed as a significant advancement that enables AI to create original content, such as text or images, which can be revolutionary for businesses.

💡Moore's Law

Moore's Law is the observation that the number of transistors on a microchip doubles approximately every two years, leading to rapid advancements in computing power. The speaker references Moore's Law to illustrate the exponential growth in AI capabilities, noting that AI models are improving at an even faster pace, doubling in capacity every six months. This comparison underscores the rapid evolution of AI and its potential impact on technology and business.

💡Multimodal

Multimodal AI refers to systems that can process and understand information from more than one type of input, such as text, images, audio, and video. The script mentions that AI models are becoming increasingly multimodal, providing them with a 'sense of sight' and enhancing their capabilities to interpret and interact with the world. This advancement allows AI agents to handle a broader range of tasks and interact more naturally with users.

💡Agent Builder

Agent Builder is a tool mentioned in the video that allows users to create their own AI agents without needing to be a developer. It's a drag-and-drop interface that simplifies the process of building agents, making AI technology more accessible to a broader audience. This tool exemplifies the democratization of AI, where the video suggests that the future will see a proliferation of AI agents built by various users to address specific needs.

💡Conversion Rate Optimization (CRO)

Conversion Rate Optimization is the process of optimizing web pages to increase the percentage of visitors that become customers. In the script, a Conversion Rate Optimizer agent is introduced, which uses AI to analyze web pages and suggest improvements to boost conversion rates. This demonstrates how AI agents can assist businesses in digital marketing strategies by automating complex analytical tasks.

💡Company Research Agent

The Company Research Agent is an AI tool described in the video that consolidates information about a company from various online sources. It streamlines the research process for sales representatives by gathering data such as company founders, news, web traffic, and more into a comprehensive report. This agent exemplifies the application of AI in enhancing productivity and efficiency in sales and business development.

💡Executive Briefing Agent

The Executive Briefing Agent is portrayed as an AI tool that synthesizes information from various sources, including CRM data and web research, to create concise briefings for executives. It can even convert these briefings into audio files for easy consumption. This agent illustrates how AI can be used to distill complex information into actionable insights, saving time for business leaders.

💡AUI (Agent User Interface)

AUI, or Agent User Interface, is a concept introduced in the video that refers to the interfaces that allow AI agents to communicate and collaborate with each other. The speaker suggests that every agent built on Agent Builder automatically has an AUI, facilitating agent-to-agent interaction. This concept is central to the vision of a network where AI agents can work together, much like human team members.

💡Democratizing AI

Democratizing AI refers to making artificial intelligence technology accessible to everyone, not just large corporations or tech experts. The video emphasizes HubSpot's mission to make AI exceptionally easy to use and build, suggesting that AI should be available to businesses of all sizes. This aligns with the broader theme of the video, which is about the transformative potential of AI for all users.

Highlights

HubSpot celebrated its 18th anniversary and the speaker shared memorable moments from the INBOUND stage.

The speaker humorously compared his son's growth to that of a language model, from 'tiny' to 'teenage'.

A decade ago, HubSpot CRM was launched, which many audience members witnessed.

The speaker's wife, Kirsten, was acknowledged for gifting him 'rocking shoes', a light-hearted moment.

Last year, HubSpot introduced its first products with generative AI, evolving from ChatSpot to Breeze Copilot.

The speaker declared the current year as the 'year of AI agents', setting the theme for the talk.

A humorous comparison was made between the popularity of AI agents and corduroy pillows in the 1980s.

The speaker plans to debrief on AI advancements, demystify AI agents, and showcase software in development.

A personal project of building a 'dad generator agent' was mentioned, utilizing a collection of dad jokes.

AI models are expanding in size and capability, with improvements in reasoning and instruction following.

The speaker referenced Moore's Law, highlighting the exponential growth of AI models outpacing traditional computing.

Innovations in AI are not just in size but also in the development of specialized models for different tasks.

OpenAI's new model, GPT-O1, was launched, noted for its advanced reasoning abilities.

AI models are becoming multimodal, interpreting images, audio, and video beyond just text.

The speaker aims to clarify what constitutes an AI agent and its capabilities.

Agent.AI was introduced as a professional network for AI agents, available for free to the audience.

Various agents were showcased, each designed to assist with specific business functions like marketing and sales.

The speaker demonstrated how agents can use other agents to perform complex tasks, like creating an executive briefing.

Agent Builder was announced, allowing non-developers to easily create their own AI agents.

HubSpot's vision is to make AI accessible, with the goal of 'there's an agent for that' for every business need.

The speaker reassured the audience that AI agents are meant to augment human capabilities, not replace them.

Transcripts

- HubSpot turned 18 years old this past June

and since then I've had the honor of sharing a number

of memorable moments on the INBOUND stage

with you over the years.

13 years ago, I shared a launch of my son Sohan.

Back then he was a tiny language model.

Now he's a middle schooler,

so he has a teenage language model,

which I will confess I have not completely decoded yet.

Parents in the room know what I'm talking about.

Now I can't show a current image of Sohan

because he's revoked my licensing rights to use his image.

No cap. No cap.

10 years ago we launched the HubSpot CRM.

Many of you in the audience were here.

Applaud if you were here for the launch of inbound CRM. Yep.

My lovely wife Kirsten, she was here. Yep.

By the way, she's the one that got me the

rocking shoes just for you.

I know you can't see them on stage. You'll see them later.

Yeah. Thank you honey. So one

year ago we launched our first products with generative ai,

including ChatSpot. ChatSpot started as a Labs project

and now has graduated to become Breeze Copilot.

They grow up so quickly. So,

this is the year of AI agents.

When we look back at this event years from now, you're going

to remember it as the year of AI agents.

Now agents are all the rage this year,

but you know what was the rage in the 1980s?

Corduroy pillows.

They were making headlines everywhere.

I'm gonna give that one a couple of seconds just,

okay, So here's what I'd like to do.

First I'll give you a debrief of

what has happened in the world of AI since we last spoke.

Then I'll try and demystify AI agents

because they can be unnecessarily mysterious.

And finally, I'll show you some software

that's in development

and as is permitted in my speaker's contract.

I'll sneak in some dad jokes. I apologize for nothing.

I bring my full dad self to the stage.

Speaking of dad jokes, so I'm

building a dad generator agent.

This is true story and I collect all of them.

I've got 2000 in a, what I call a dad-a-base.

And so this is basically feedback for the training agents.

So thank you for laughing for those

that laugh as we go along.

But anyway, so here we go.

So a lot has happened in the past year,

all focused on just the highlights, things that matter

to you and your company.

First, AI models are getting bigger.

Bigger in terms of the number of parameters which sort

of defines how big their neural network is,

and also their context windows, which defines

how much information we can pass to the model at the time

we give it a prompt. Bigger models are

generally more capable.

They can reason better, they can write better,

they can follow instructions better.

But models aren't just getting better.

They're getting better, faster.

So years ago, Gordon Moore, the CEO of Intel,

coined what's called Moore's Law.

It states that computers double in power every 18 months.

That's an exponential curve.

That's why a computer that used

to fill a room now fits in your pocket.

So Moore said: computers would double in capacity every

18 months.

And AI came along and said, hold my beer.

AI models are doubling every six months.

And this growth is partly what's causing all this

excitement around AI.

And it's not just that the models are getting bigger

and better, but we're seeing innovation along

multiple dimensions.

We now have multiple highly functional frontier models

that are good at different tasks.

Open AI's. GPT is really good at reasoning.

Claude 3.5 is really great at writing.

Google Gemini is really great at supporting huge context

windows with millions of tokens.

And Llama is really great at being open source

and having a cute name.

And we have some breaking news on the AI model front,

for almost a year now, the industry has been buzz

with the anticipation of a new model from OpenAI.

Those are the folks that make chat. GPT.

The model's code named Strawberry. Word on the street was

that it was going to be very impressive.

What's not very impressive is that joke.

I did not write that joke. I will not take credit.

OpenAI launched that new model this past Thursday

and I've been up late nights even later than

usual every night since.

The model is called GPT o1.

Now the reason to be excited about GPT o1 is

because of its ability to reason.

It's shockingly good,

like graduate student PhD level reasoning.

And it even shares the kind of chain

of thought it had in terms of how it came up

with the response that it gave you.

So it sort of lets you inside its brain. Super cool.

Now this level of reasoning means we can have agents now,

they take on much more sophisticated goals

that when we could even do a week ago.

That's how fast this stuff is moving.

So the lesson here is that when things are moving this fast,

we shouldn't go to where the AI is.

We should go to where AI is going, hat tip to Wayne Gretzky.

And we're going to be in a very different place three

months, six months, 12 months from now.

Okay? So we have a variety of great models.

They're also becoming increasingly multimodal.

So we've moved beyond text to the models supporting images,

audio and video too.

This means the models can take image as input,

not just the prompts that we give it.

This is like we're giving these AI models the

sense of sight.

That's like when you're teenager can first start seeing

the clothes on their bedroom floor.

It's amazing when it happens. It's amazing.

So this is what AI models used

to see when you sent them to a webpage.

This is the webpage for School of Rock,

longstanding HubSpot customer.

And I'm the parent of a recent customer

of School of Rock.

So this is what the models used to see

and this is what the models can see today.

They see the same webpage as we do.

So quick recap of the debriefing.

Models are getting bigger and better.

We have different models for a diversity of tasks.

And AI models now have multimodal support.

This makes it possible for the first time,

to create AI agents

that can take on a wide variety of assignments.

But agents can seem a bit mysterious and complicated.

So let's try to demystify them.

Let's raise your A-IQ now,

agent IQ speaking IQ,

I read somewhere that talking to yourself is a sign

of intelligence.

I've said that to myself hundreds of times.

Now, first of all, you might be wondering like

what is an AI agent anyway?

And there are a lot of definitions out there.

The one I prefer is the one Yamini shared.

An AI agent is software that uses AI

and tools to accomplish a goal that requires multiple steps.

That's it. Yes, some agents can have be able

to run autonomously,

some have executive planning capabilities,

but those are niceties, not necessities to be an AI agent.

And there are a range of agents in terms

of the complexity of the goals.

They can take on. Everything from complex goals like the four

agents that Andy just demonstrated, all the way down

to very simple goals.

The thing I want you to remember is that an agent's

and agent, no matter how small

now, whether big or small,

all agents share some things in common.

An agent uses one or more AI models.

If it doesn't use AI, you can't officially call it an agent,

then it's just sparkling automation software.

Thank you. Yeah, bye. Next,

an AI agent has the ability to use tools

so it can access things like the HubSpot Smart CRM

and take action on your behalf.

And finally, agents have a memory.

They can remember things across tasks.

Otherwise it's like me walking up to the refrigerator,

opening it and then forgetting

why I opened the refrigerator.

Alright, so let's dig in

and talk about what's in development.

I'm gonna share with you what I've been cooking on

late at night, two o'clock in the morning every night.

My wife can attest to this. And by cooking I mean coding.

I can't actually cook, not in a literal sense.

And I also don't stand at my standing desk,

which doesn't sit well with my personal trainer.

I actually don't have a personal trainer.

I used GPT. By the way,

it suggested that I maybe do like lunges

and I think that would be a big step forward.

And so having the honor of being up on stage at INBOUND

and sharing the stuff I've been working on is the favorite

time of my whole year.

And I've probably spent 1500 hours working on the next 15

minutes that I'm about to show you.

And before I do that,

before we dig in, a quick disclosure and warning.

The upcoming segment is rated X,

X for experimental.

Everything Andy showed you are part of real products

that we sell at HubSpot.

Products you should buy.

By the way, if sales team is hiring, I'm,

that's my sales pitch right there.

What I'm about to show you is an experiment.

Viewer discretion is advised.

And the product I've been staying up late every night

working on for many moons this year is agent.ai.

Thank you. Agent.AI

is the number one professional network for AI agents.

It's also the only professional network

for AI agents.

Now at this point, some

of you might be thinking, wait, what?

Why do agents need their own

professional network?

Reasonable question. 'cause I predict

that in the future our teams are going to be hybrid.

They, they'll consist of humans like you

and AI agents like me.

Just, just kidding. I'm not an AI agent yet here on stage,

that likely won't happen until far into future.

Like INBOUND 25. By the way, inspired

by Andy's references to back the future,

I was going to tell you guys a joke about time

travel, but you didn't like it.

So here's the homepage for agent.ai.

We see a listing for some of the agents on the network

and every agent has a profile.

So we can click into the profile, we can follow that agent,

we can hire that agent and start using it.

It's free. And we have,

and we can add the agent to our team.

And we have a bunch of agents around marketing, sales,

customer service, operations,

and a new agent's being added every week.

So I invite you to check it out.

You can sign up for free, get a

hundred credits, it's awesome.

So it's time to meet some of these agents.

Now we're gonna look at agents that help us with marketing,

selling and how to delight customers.

Now the number one challenge

for marketers today is generating traffic

and qualified leads.

I'm not making that up.

One of the most clueful people I know in our industry said this

circa 43 minutes ago.

So it's even more important that we take the website traffic

that we have coming right now, those website visitors

and convert them to leads at the highest rate possible.

And the way to do that is with conversion rate optimization.

Now, here's the website for School

of Rock that we saw earlier.

It's a great website.

Is there anything that can be tweaked or improved?

Yes, always.

But is it a pain in the butt to figure out what to change?

Yes, always.

'cause you have to review the copy,

you've gotta check the CTA,

you've gotta tweak the headlines, review the testimonials.

There's just so much to do.

And conversion rate optimization is a very

specialized skill.

Thankfully, we've reduced this down to a few easy clicks.

Here's the conversion rate optimizer agent.

It's super easy to get started.

All you do is you type in the web link

for a webpage, any public webpage.

It can be your homepage, it can be a landing page,

it can be your pricing page.

And the agent goes through and looks at that entire webpage

and it has decades of domain expertise

and conversion rate optimization

and will come up with a list of suggestions.

It's like you're saying something this way on the webpage,

I'll bet you you'll get higher conversions if you change it

to this, or you're missing a call to action,

or maybe you should add imagery.

It comes up with really, really good suggestions.

I encourage you to try it. So it's, it's a simple agent,

but it's a profitable one.

I encourage you to check it out. Now, Yamini also mentioned

how the average sales rep spends only two hours a day

with customers and a large part

of their time is spent in prep,

and a large part of their prep time is spent

researching companies.

Now, the reason this takes so much time is you have to go

to Google, you go to the company's website, you go

to Crunchbase and look up their funding.

You go to YouTube, go to the social media channel, you go

to Glassdoor, you're jumping all over the internet on this

adventure hunt with all this unstructured data.

We built a company research agent that picks up all

of those pieces all over the internet

and puts it together for you with just a few easy clicks.

Let's look at how easy this is.

We start by entering the website's domain.

I'm going to enter openai.com, my favorite AI company,

and we get a beautiful multi-page report

broken out into sections.

So we can click on any of these sections.

So let's say we click on founders to see

who the founders of the company are.

We can click on the new section

and see if there's anything new

that's been published about the company.

We can click on their web traffic information

or their organic keywords.

A bunch of different sections,

brings it all together in one place.

But the coolest part is this research question section.

You can type in any question you want.

It's like, let's say you're selling payment software

and you wanna know whether this company sells a

subscription product.

The agent will crawl the company's entire website,

crawl the internet, and come up with an answer for you.

And it says, yes, OpenAI sells a subscription product.

But what's really cool is you can add

that question to the agent.

So every future report

that you run will automatically answer all

your custom questions.

So let's say yes, OpenAI is a good fit with a single click.

We can add this company to the HubSpot Smart CRM,

and we can see that company record

and can do all the things you can do

inside HubSpot's smart CRM.

And finally, let's say we're interested in this company,

we can click the track button

and type in English what we want to track.

It's like, okay, if they launch a new product,

if they raise a new round of funding,

if there's an exec change, describe it in English,

whatever is you're interested in tracking

and now this agent works on your behalf,

and will track all of those things automatically for you

and notify you if something interesting to you happens.

So that's the company research agent, by far

the most popular agent on the network right now.

Thank you. Yep.

Now what if I told you agents can

use other agents?

I'm telling you, agents can use other agents.

We can use existing agents as building blocks

for building new, more powerful agents.

It's like agent composition.

I haven't had this much fun since I played with Lego.

So this weekend, basically. Okay,

so let's say I'm a customer success manager

and Canva is one of my accounts.

Love Canva, by the way. Shout out to Canva folks.

Yeah, I know. Wonderful company.

So now as a customer success manager,

before hopping on a call, I'd like

to kinda update myself what's been going on

with this company, both within the HubSpot Smart CRM,

but then all over the web, news, funding.

Now, this sounds familiar, a lot of that work,

the company research agent already does.

So we built a simple agent that takes all

of this information and reduces all that work in terms

of creating an executive briefing into a few easy clicks.

Let's see how easy this is.

So here's the executive briefing agent.

It knows which company I'm going, which one's assigned

to me, and it will come

and it will say, okay, I'm gonna look at the CRM,

I'm gonna look at the last calls.

Any issues, I'm gonna go look at the customer research agent

and I'm gonna pull it all together into a very brief

executive briefing

and I'm gonna convert it to an audio file

so you can just kinda listen to it on the commute

to work if you want to. Right,

just pulling all that information together

and giving it in the form that you want.

Alright, so given the agents that Andy has demonstrated,

given the agents I just showed you

and the two dozen other agents on the agent.ai network

already, and more coming every week,

I could make the prediction that most

of you will be using agents this year,

and that's an easy prediction to make.

So I'm going to make that prediction.

Most of you will be using agents this year,

but I'm not going to stop there.

I predict that many

of you will be building agents this year

and not just the introverted developers like me.

Anyone can build an AI agent.

You can build an agent, you can build an agent.

You can build an agent. Yes.

By the way, if you know,

I could have my like Steve Balmer chant right now,

it's like agent builder, agent builder, agent builder.

But I do not have the dancing skills of my friend Brian.

So we'll just enjoy him for a few seconds.

This is him on the inbound stage years ago. Hi Brian.

By the way, thankfully Brian does not drive a hard bargain

in terms of using his image in my presentations,

which is I'm grateful for.

So announcing Agent Builder,

which lets you build agents.

Why should I have all the fun? So let me show

you how easy it is.

So here's the agent builder for the agent I just showed you,

the customer briefing agent.

So it goes through five steps.

It says, okay, go talk to the HubSpot CRM

and figure out which account has been assigned to me.

Now go to the research agent,

collect all of that information.

Now go pass all of that context

to a large language model, generate an executive briefing,

and then generate the audio file so I can listen

to it on my iPod or my music player.

And that's it. It's drag and drop.

So I'll give you a sense of, if we click on the plus button,

there are other actions we could add.

Let's say we wanted to add another step to this,

and we have access to all sorts of data

inside the HubSpot CRM.

We can build UI, we can do all sorts of things.

It's awesome. So the coolest part about Agent Builder, it has

access to all the frontier models.

So it has access to GPT to Claude, it has access

to all the image generation models.

Dall-E 3, Flux.1, Ideogram, Playground, name it.

It has access to all the HubSpots.

CRM has access to people to create blog posts,

create webpage, has Google, has YouTube,

Twitter, everything.

You can mix it all up and build an agent with drag

and drop in the same way you build workflows in a marketing

automation product like HubSpot.

Alright, I'm gonna take a breath.

This is a cue for me to breathe

so I don't pass out on stage.

Thank you. You're welcome

to join in and and, and take a breath.

This is not a moment of Zen.

We have work to do, so we're alright.

So that's agent.ai, the number one professional network

for AI agents.

Also the only professional network for AI agents.

Now, normally for Labs projects like this,

if I get a few hundred users

before the launch date, I'm happy.

That gives me feedback, gives me signal.

If I get a few thousand users

before launch date, I'm like, this kid's got potential,

this one's gonna grow up and be something special.

And I am thrilled

to announce agent.ai already has

47,000 users.

They grow up so quickly.

This makes it the second most successful innovation project

we've done at HubSpot.

The first one being HubSpot CRM.

Alright? And what's equally exciting is we have 1700 people

signed up for the wait list for the agent builder,

and I'm approving people literally every night.

So I'll be doing that in the hotel room later tonight.

So sign up, it's fun.

Alright, and remember, you don't have to be a coder

to be an agent builder.

You just have to be curious.

All it takes is a few easy clicks.

So we started by building a UI, a user interface.

This part of it is probably a little geekier than it needs

to be for a mainstream audience.

I'm a little geekier than I should

be for a mainstream audience.

It'll be okay. This will be quick.

Then we layer it on with an

application programming interface.

This allows applications to be able to talk

to talk to HubSpot.

The next evolution of this is what I call the AUI.

That's the agent user interface.

And the reason this is important is this is what you need

for agents to be able to talk to each other

and be able to collaborate.

And the cool thing about Agent Builder is every agent

that's built on Agent Builder automatically has an A UI.

Now this may not make sense to some of you.

That's okay, but your developers are gonna love it.

I promise. A movie reference,

that's a really subtle one, but we'll let it go.

Okay, so now some of you're wondering

why is a customer platform company like HubSpot building

an agent network?

It's my belief that the next generation customer platform

needs to have three things.

It needs a smart CRM that has unified store

of structured and unstructured data.

Yamini talked about this and that

foundational AI has to be built into the core CRM.

The batteries have to be included, right?

Otherwise it's not a smart CRM.

It needs smart engagement apps.

You saw Andy talk about this,

where we're infusing AI into all the

engagement apps at HubSpot.

And finally, you need an agent ecosystem,

just like we have an app ecosystem, now shout out

to all the app partners that are out there.

Thank you. Alright, so at HubSpot we like

to dream big and iterate small.

And our dream has always been to help millions

of organizations grow better.

We do this by demystifying, democratizing,

and delivering on the potential of new technology.

If you're a Fortune 1000 company with a fortune

to spend on AI, there are lots

of good options out there for you.

But for those of you that just want to get growing with AI,

HubSpot's here for you, our focus is not just

to make it exceptionally easy to use agents,

but exceptionally easy to build agents and share agents

and distribute agents.

That's the idea. Now, since our founding 18 years ago,

we've been inspired a lot by Apple.

Apple changed the world years ago with the introduction

of the iPhone,

but what was equally impactful was the launch

of the app store.

Their vision was embodied in the

phrase, there's an app for that.

Our vision for the future is: there's an agent for that.

For every marketing, sales,

customer service use case imaginable,

including use cases we can't imagine yet.

There will be an agent for that.

Agents are the new apps,

and we expect someday for there

to be thousands of agents available.

We want a thousand agents to bloom.

Only a small fraction of them will be written

and built by HubSpot.

Most of them will be built by our partners, by all

of you, the community.

So we see a world where agents

and humans that hire them are connected on a network

and can collaborate in this vibrant marketplace.

Now, if we think of agents as tools,

we will get wonderful tools,

but we should skate to where the puck is going.

If we think of agents as future digital teammates,

we will get wondrous

transformation for our businesses.

Now, it's natural for this to cause some anxiety

because it's not natural to think of a world

where agents are members of our team.

Deep down inside, we may be worried

that AI will replace us as humans.

As a human myself, I will humbly submit

that AI does not reduce your value.

It raises it. Even though I use AI every day

to help me code, help me develop presentations,

help me write dad jokes.

I think I'm no less valuable.

Now I'm more valuable with AI.

And the same is true for all of you

because humans are more than the sum

of the tasks that they do.

There is an inexplicable magic in us

made from the experiences we've had.

AI may be faster than us.

AI may be smarter than us,

but it can't be more human than us.

Can't be because it had. It has not had human experiences.

Like the thrill of starting something new with a friend,

with thank you.

Or the profound joy of sparking someone new

with the love of your life.

Thank you. Or the deep,

deep gratitude one feels towards a new friend

that is helping continue the dream and vision.

AI will not have those feelings

because AI cannot have those human experiences.

It can read books, it can inhale the entirety

of the internet, but that's not the same

as having those human experiences.

Having said that,

although AI has its limits, it's not going

to replace us as humans.

AI agents can be wonderfully helpful.

So we should let agents automate the mundane

and amplify the magic.

The magic that makes you, you.

It is always an honor to be here.

Thank you so much for coming out to INBOUND.

Thank you for all the support.

On behalf of Yemeni, Andy

and the global team of 8,000 plus HubSpoters, I appreciate.