Using agents to build an agent company: Joao Moura
Summary
TLDRThe speaker discusses the rapid growth and potential of AI agents, highlighting the impressive execution of 10 million agents in 30 days. He explains the autonomy and adaptability of these agents, which can make decisions and use tools in real-time. The talk covers the anatomy of AI agents, the complexities of building and orchestrating them, and the shift from traditional software development to agent-based automation. The speaker shares his journey as the CEO of Grayi, the creator of Crei, a production-ready library for multi-AI agent automations. He also announces new features like code execution for agents, training for consistent results, and a universal platform for third-party agents. The talk concludes with an offer for companies to try Crei Plus, an enterprise solution for deploying AI agents.
Takeaways
- 😲 Over 10 million AI agents have been executed in the last 30 days, showcasing the rapid growth and adoption of AI in automation.
- 🧠 AI agents are capable of making autonomous decisions and can be used to create complex automations without the need for traditional programming.
- 🚀 The speaker emphasizes the speed at which AI is being adopted and how it's outpacing many people's expectations.
- 🤖 AI agents can be created to perform specific tasks, like content creation or lead qualification, and can be organized into 'crews' for more complex operations.
- 💡 The speaker shares his personal journey of building a company, Grayi, which focuses on AI automation, starting from a personal need to automate his online presence.
- 🌟 The community around Grayi's product, Crei, is growing rapidly with over 16,000 stars on GitHub and an active Discord community.
- 🔧 Crei is described as a production-ready library for building and orchestrating multi-AI agent automations, indicating its robustness and reliability.
- 📈 The speaker highlights the success of using AI agents for marketing and lead qualification, resulting in significant increases in views and customer engagement.
- 🔗 Crei is positioned as a universal platform that can integrate with third-party agents, expanding its capabilities and use cases.
- 🆕 Upcoming features for Crei include code execution capabilities for agents and a training module to ensure consistent results over time.
- 📈 Crei Plus is introduced as an enterprise offering that allows for easy deployment of AI agents into production environments with robust features like autoscaling and private VPCs.
Q & A
How many AI agents were executed in the last 30 days according to the transcript?
-10 million AI agents were executed in the last 30 days.
What is the significance of the number of AI agents executed as mentioned in the script?
-The number signifies the rapid growth and adoption of AI agents in various applications, indicating a significant shift in the way automation and software development are approached.
What does the term 'agent' refer to in the context of the transcript?
-In the context of the transcript, 'agent' refers to autonomous AI systems capable of making decisions and taking actions based on given options and circumstances, without the need for direct human intervention.
How do AI agents differ from traditional automation in terms of handling complexity as described in the script?
-AI agents can adapt to circumstances and build automations in real-time without the need for pre-defined connections or 'dot-connecting' that traditional automation requires. This allows for more complex and dynamic automations.
What are the components that make up the 'anatomy' of an AI agent as discussed in the script?
-The components include a central core, tasks, tools, a caching layer, a memory layer, training mechanisms, and guardrails to ensure the agent functions correctly and securely.
What is 'Crew' in the context of the transcript, and how does it relate to AI agents?
-Crew, in this context, refers to a group of AI agents that work together, sharing caching and memory, to perform complex tasks. It represents a higher level of AI collaboration and automation.
What is CRE AI, and how does it fit into the narrative of the transcript?
-CRE AI is a production-ready library for building and orchestrating multi-AI agent automations. It is central to the narrative as it is the tool used to execute and manage the high volume of AI agents mentioned.
How did the founder of Grayi start his journey with AI agents, as described in the script?
-The founder started by building AI agents to automate the creation of LinkedIn posts, which led to the development of CRE AI as a tool to further automate various aspects of his professional life.
What is the significance of the number of GitHub stars and Discord community members mentioned in the script?
-The number of GitHub stars and Discord community members signifies the growing interest and adoption of CRE AI and AI agent technology within the developer and broader tech community.
What new features or capabilities are announced in the script regarding CRE AI and AI agents?
-New features announced include code execution capabilities for agents, a training feature for consistent results, universal platform support for third-party agents, and CRE Plus for enterprise deployment of AI agents.
Outlines
🤖 AI Agents and Automation
The speaker begins by expressing excitement over the rapid development and execution of AI agents, particularly within the last 30 days. AI agents, such as those created by GPT, are capable of autonomous decision-making and can be used to create content. The speaker explains that traditional automation required pre-defined paths, but with AI agents, one can provide options and let the agents adapt in real-time. The speaker also touches on the complexity of building these agents, mentioning the need for caching, memory layers, training, and guard rails. The talk concludes with the speaker's personal journey, starting with his wife's suggestion to share his work online, leading to the creation of his company and the development of an AI agent library called 'crei'.
🚀 Scaling Business with AI Agents
The speaker shares his entrepreneurial journey, which began with automating his LinkedIn posts using AI agents. This success led him to automate more aspects of his life, resulting in the creation of 'crei'. He describes building various 'crews' of AI agents for different business functions, such as marketing, lead qualification, and code documentation. Each crew is composed of specialized agents that work together to achieve specific goals. The speaker highlights the exponential growth in views and engagement that resulted from using these AI crews. He also discusses the community and investor support that 'crei' has garnered, and announces new features like code execution for agents, training for consistent results, and the ability to integrate third-party agents.
🌟 Future of AI Agents and 'crei'
The speaker envisions a future where AI agents are ubiquitous and integral to business operations, comparing their potential impact to that of the internet. He emphasizes the importance of adopting AI agents early and experimenting with their capabilities. The speaker announces 'crei Plus', an enterprise offering that allows users to deploy AI crews as APIs with autoscaling and security features. He also mentions a course on 'crei' for those interested in learning more. Lastly, he introduces a service where a crew of agents can be created based on a company's needs, pushing the code to a GitHub repository and offering a quick start to utilizing AI agents in production.
Mindmap
Keywords
💡AI Agents
💡Automation
💡CRE AI
💡Orchestration
💡Caching Layer
💡Memory Layer
💡Guard Rails
💡LLM (Large Language Models)
💡Production-Ready Framework
💡Code Execution
Highlights
10 million AI agents were executed in the last 30 days, showcasing the rapid growth of AI automation.
AI agents can make autonomous decisions and use tools in real-time, revolutionizing automation.
LLMs like ChatGPT are being used to create content, demonstrating their versatility.
Agents can adapt to circumstances without needing predefined connections, simplifying complex automations.
The anatomy of AI agents includes a core, tasks, and tools, with additional layers for production use.
Caching, memory, and guard rails are critical components when building agents for production.
Agents can communicate with each other, adding a layer of complexity to AI automation.
Crew AI is a production-ready library for building and orchestrating multi-AI agent automations.
Crew AI has been adopted by a community of over 16,000 on GitHub and 8,000 on Discord.
The founder's journey with AI automation started with automating LinkedIn posts.
Crew AI was developed to help the founder automate more aspects of his work.
Marketing crews were created to automate content creation and social media analysis.
Lead qualification crews were developed to analyze customer responses and CRM data.
Code documentation crews were built to automate the creation of technical documentation.
Crew AI is being used by various companies for diverse applications.
Investors like Darh CTO of HubSpot and Jack Outman vouch for Crew AI's capabilities.
Crew AI is working on code execution features to allow agents to build their own tools.
A new feature called 'Train Your Crew' will allow for consistent results from agents.
Crew AI is developing a universal platform to integrate third-party agents.
Crew Plus is an enterprise offering that allows for easy deployment of crews as APIs.
The first 50 companies to sign up get access to Crew Plus within 24 hours.
A crew that can build your crew is available, automating the creation of your first crew.
Transcripts
[Music]
10 million
62,000
922 over 10 million and a half that's
how many agents got executed with crei
in the last 30 days
yeah and this is crazy I'm so impressed
by this because this is real it's real
and it's moving way fast than most of
people think and I assume most of you
here know what AI agents are but I'm
going to catch you up if you don't real
quick so llms we all know them chat GPT
turns out great to create content and
they're so good that they almost look
their reasonable they can choose between
left and right and up and down and all
the other options and if you get them to
chat themselves or to a copy of them
guess what you can leave the room you
have an agent basically it can take its
own decisions it can use the tools it
can be autonomous so if you didn't know
what agent was there you do now you
might be asking great now what what's up
to me well we have been building
automations as Engineers for decades and
usually starts pretty straightforward
it's like hey I want to go from A to B
but then what happens when you add C and
and then you get D and this things can
get complex pretty quick and that's how
legacies and headaches are born but uh
turns out that with agents you don't
necessarily need to do that you don't
need to connect the dots you give it the
options and the Agents can adapt to the
circumstances that they are met and they
can do that in real time so that allows
them to build automations that were
never possible before that you couldn't
do it and when you think about the
anatomy of these agents and what they
look like they might look pretty simple
at first you might say like well you
have a na Lim in the center and you have
task and you have tools but once they
start to building these things in
production for real you quickly realize
that you got to think about well I need
a caching layer I need a memory layer I
need to train them I need to find a way
to add guard rails and so much more that
goes into that and then now you're going
to like them to talk to each other and
that adds another complexity layer and
then when they're in a crew you want to
still think about the caching but now
shared and the memory and now it's
shared there's so much that goes into
this and then you can go one extra level
and get multiple Crews to talk to each
other how that goes to say that the way
that we have been building software is
changing a lot if you think about the
way that we used to do it's very strong
time all the software that we have view
is very strong time you start with
knowing exactly the inputs that are
coming in it's a form it's an integer
it's a string you know what's happening
you're summing it up you're multiplying
and then you have have a very strong
output to the point that you can write
basically any tests because the behavior
is always the same but with AI agents
and any AI apps for what it's worth
everything is fuzzy uh you don't know
what's coming in yes it's a string but
can be a CSV can be a rasp can be a
random joke and then these models are
basically black box and you don't
necessarily know what's coming out of it
and you know what I love it so this is
happening now
and I'm being serious every single day a
100,000 crews are
executed and I'm talking like every
day and I mean I have been talking a lot
about cre Ai and uh creai is a a
production ready library to build and
orchestrate multi- AI agents automations
and we'll talk more about that in a
second and um I don't know exactly what
like uh is the like the book that
definition of a production ready
framework but I'm pretty sure that
involves running more than 10 million
agents every month so uh I I like to
claim that and the fact that we have
been beaing this means that we get a lot
of exposure to a lot of use cases what
are people building out there how
they're using this and it's so good
before I move along really show our fans
real quick who has tried crei raise your
hands I like this but we're gonna have
even higher number
so I'm joal my name is kind of hard to
pronounce I go by Joe sometimes nice to
meet you I'm the CEO and founder of
grayi and the way that I build this
company has been a very interesting
Journey everything start back in Brazil
I'm a long way from home and everything
started with my wife I'm very blessed to
have a very smart wife and I have been
working clear bit for many years before
starting crei and my wife told me you
know what you're buing a lot of
interesting stuff with like llms you
should be sharing more about it online
but I suck at writing LinkedIn posts so
as a good engineer I was like Hey I'm
going to write some agents to do that
for me it turns out it
work I got so many views everyone's
going into my LinkedIn and I was soed I
was like you know what I want to
automate my life away I don't want to do
anything anymore I want to just relax
well for my surprise it doesn't turn out
that way uh and I start to building cre
I because I want to use the same thing
to build more and more agents the
problem was all that happened in my
anniversary so you can see that I was
having a lot of fun but at the same
point my wife doesn't like me to spend
too much time in the computer when we're
in the holidays uh but little did she
know that I was working super early and
I was hacking away and I was buing PRI
and things start to cook off and we
start to getting bugs like rabbit hole
reports hallucinations two erors I'm not
going to lie things got a little crazy
for a hot second there for us but turns
out with that also cre a gate community
over 16,000 stars in GitHub uh a Discord
Community with over 8,000 people and
then someone created a Reddit I didn't
know but we have a Reddit and that's
amazing and then not too long after that
Engineers start to like reach out and
then companies start to reach out and
I'm talking about hundreds of thousands
of people and I'm like all right we need
to scale this up but then how we do it
how do we scale a company in such a
competitive market guess what the answer
was in front of me all along we need
agents and so did I bu some them agents
so let me tell you how I start I was
like hey let's start simple this is a
company what do we need we need
marketing so I build a marketing crew I
was like I'm going to build first a
content creator specialist a social
media analyst a senior content writer
and a chief content officer bring them
out together together this is my
marketing crew I'm going to shoveling
rough ideas that kind of suck and I want
to get something great so they're going
to check acts and check LinkedIn and
what other people were talking about
this they're going to search internet
and learn more about the topic they're
going to look at my previous experience
and they're going to give me an
incredible draft and then I started
posting it out and again guess what it
worked we got 10x more views in 16 days
60 freaking days and I was loving it but
with that came a problem I was like well
I need to move on I I need to like now
serve these people how do I qualify them
well I need to go the next level I did a
simple crew I'm going to step up the
ladder I'm going to do the next step the
higher impact but L lower risk so this
is what I did I did a lead qualification
crew so I was right I'm going to bring
up a lead analyst expert I'm going to
bring an industry researcher specialist
in a strategic planner I'm going to wrap
them together into a lead qualification
crew I'm going to shoveling my lead
responses and I want them to analyze the
answers I want them to compare them with
my CRM data I want them to research the
industry and give me like a score use
cases talking points so I can jump in a
meeting right away guess what it
worked the problem is it worked too
out I end up
doing 15 plus customer calls in 2 weeks
it was crazy you know what I don't
regret it I love it so this is what
happened I start to expand more let's
build more crews we have marketing we
have lead qualification let's do code
documentation so if you try crew all
those docks we didn't write it agents do
it for us and I was like I want to do
more and start to do email and do more
and more and it works so to the point
that these are some of the companies
they're now building with crew they're
using crew and it's insane to me and hey
if you don't like these companies you
don't believe that well believe some of
our investors darh CTO of hubs spot or
Jack outman I mean they can vouch for us
we're doing pretty well and what about
the future like where is this thing
going well as an llm model I can't I'm
kidding so
actually Jenn is not getting back in the
bottle this is going to be huge bigger
than the internet we all knew it like
this this is not going back people are
not going to stop using Agents from one
day to the other
well this is my advice for you be
adopter don't wait for other use cases
start simple expend to low risk and high
impact that's what we did but hey I'm
not going to finish here in Cai we are
known because we sheep them fast so I'm
going to make some announcements of some
of the stuff that we are working that
I'm super excited about first thing your
agents need tools right so why don't you
let them build their own tools so we are
working with code execution what means
that in the new version all you got to
do is create an instance of automated
coder command line code
executor come on you're not buying this
I'm not Auto Jam or whatever other
framework are using we're crew AI all
you got to do it's one flag allow code
execution that works your agents can
code now you don't got to worry about
this another thing that we are working
on you know how you do when you hire a
new employee you train them why not do
that with her crew so you can get
consistent results over time well
there's a new feature train your crew
it's a new CLI you can run that and you
can give instructions to it and that's
going to become baked into the memory of
your agents to the point they're going
to give you consistent results every
time moving forward but we're not
stopping that as well there's more you
know what I like to think about us as we
don't see agent callers we want all the
agents so bring them all we're a
universal platform bring any third part
agent you know your Yama index agent
your link sh agent your autogen agent I
mean I don't know why you would do
anything else because you got a crew but
hey come on you can bring them into the
party and they're going to have all the
crew AI agents features the shared
memory the same tools you're going to be
able to use all them if you and then
again the best thing about all this you
can try it today we just shipped the
version before I come in the stage if
you want to try it right before this
call or later in today you can give it a
try it's a new version it's live and if
you again that is not exciting enough
maybe you want to hear from another of
our investors and they
so you can and check it out we put
together a 2hour course on how to learn
about crew aai and all you got to do is
go to learn.
crew.com
and final thing I promise I'm know that
be right at time bear with
me this conference has been one the best
conference I have been who here agrees
with
that right there's one thing though I
heard a lot of like teing a lot of like
coming Sue type of Dees and I don't know
about you but I'm a little sick of
that so why don't we actually start to
bring some like agents into
production so I want to talk about cre
plus it's an Enterprise offering what
some of those companies that I showed
you were are using it and with cre plus
now you build your Crews the way that
they're running your terminal but you
basically can select them push them to
GitHub in three minutes they become an
API and I'm talking about a real API I'm
talking about about autoscaling
protected by a barer token with a
private VPC everything that you need to
run those things in production and then
you can also like one click away export
that into a react component and now you
basically have a UI that you can demo
and you can customize any any way that
you want so you can basically connect
your agents like in a few minutes to
anything and there is more for the first
50 companies that signed up using this
link we're going to give you access to
crei Plus in less than 24 hours and I
also have one extra thing you don't even
have to build your first crew turns out
I pull an out either I have a crew that
can build your
crew you heard me right based on your
email and your company name alone this
crew is going to run is going to create
your crew push into a GitHub repository
and that can be the first crew that you
Deploy on CI plus so hey why don't we
leave at that it's starting to become a
little like uh ugly for the other guys
so hey thank you so much I catch you in
the confence
[Music]
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