The numbers in the Crypto AI agent space are pretty wild.

Almost every VC and smart founder is shifting towards this trend and figuring out how to build AI agents.

We're talking about a sector that basically didn't exist a few months ago, and now it's already hit $15 billion. And it's predicted to explode to $250 billion by the end of the year.

Just look at Marc Andreesen (the a16z founder) dropping $50,000 in Truth Terminal's wallet (a basic AI bot shitposting on Twitter).

That's when things got interesting - the bot started pumping this meme coin, Goatseus Maximus ($GOAT), and everyone realized this wasn't just another crypto trend.

Fast forward to now - Virtual Protocol, ai16Z, and AIXBT are absolutely crushing it.

And sure, hundreds of others are trying to grab a piece of the action, but these three?

They've figured something out that most haven't.

And you know what really separates these successful Agents from the ones that are struggling?

It's not about who has the most advanced AI or the fanciest tech stack.

Here's what sets the winners apart in this space:

• How they pack their agents with powerful functionality

• How they make the user experience dead simple

• How they customize everything to their specific platform

However, having these elements still might not be enough on its own.

Because success in this space ultimately comes down to executing these two things:

Speed and Quality.

Think about it...

How quickly can you build an agent that delivers on all three of those elements?

And can you do it without cutting corners?

That's exactly why, in the next few minutes,

I'll show you exactly how we've been building them for multiple platforms and how you can do it too to get your share of this hot market in 2025 and beyond.

I'll break down exactly how to build an AI agent that users actually want to use...

One that can bring serious engagement, traction, and users to your crypto project.

Something that'll make your VCs happy they invested and make all your time and effort worth it.

The Exact Steps You Need…To Build Your Own Crypto AI Agent Today

Alright, let me break down exactly what you need to build your own agent.

I'm going to keep this super simple because you need to understand the core pieces, but don't worry if some of this sounds complex... I'll explain why each part matters.

1) Pick Your Programming Language

• Decide on a programming language like Python or Node.js to build your agent.

• Python's great if you're heavy into AI models, while Node.js is your friend if you want smooth web integration.

• This will define how easily you can work with the tools needed for the agent.

2) Get Your AI Brain (The LLM)

• This is basically your agent's thinking engine, helping it understand inputs (like tweets) and generate useful outputs (like analysis or suggestions).

• You'll need an LLM like GPT or LLaMA to process natural language, understand text, and generate intelligent responses.

• And your choice will depend on your budget and what features you need.

3) Add the Framework

• We use something called LangChain, which will connect your AI brain to all the tools, data sources, and external APIs it needs. It will also help the AI retain memory and context for better decision-making.

• It'll be way easier than building everything from scratch, trust me.

• Because frameworks will simplify the process of connecting the AI with custom data and external systems, making it more flexible and personalized.

4) Connect your Agent to Twitter

• Your agent will need to see what's happening in the crypto world. So for that, we use Twitter's API to let it track hashtags, keywords, whatever you want it to watch.

• This is how it stays on top of the crypto world, helping it track trends, user sentiment, and relevant discussions that could guide its decisions.

• To connect this, just configure the API to search for tweets about certain topics or tags (e.g., “#crypto” or mentions of your project).

5) Give It a Wallet

• Just like you need a wallet to trade crypto, your agent will need one too for holding and managing cryptocurrency.

• This lets it handle tokens, make transactions, receive rewards, and actually do stuff on the blockchain while making sure all the financial operations are secure and autonomous.

6) Connect to Smart Contracts

• We use blockchain tools like Alchemy or ethers.js to let your agents interact with smart contracts so they are able to participate in decentralized applications (like trading, staking, or governance voting).

• To do this, you’ll have to define the contracts the agent will interact with and ensure it can execute actions such as sending data or triggering transactions.

7) Train It Up

• We’ll run the agent through different test scenarios to see how it handles real-world inputs like tweets and blockchain data.

• Then, we’ll fine-tune it to improve accuracy, decision-making, and overall performance until it consistently makes smart decisions and reacts well to unexpected situations.

But Wait... Do I Really Need To Do All That?

Yeah, after looking at those seven steps, I know what you're thinking - "This is a lot to figure out."

And you're right... building an AI agent from the ground up is no joke.

That's why I want to show you something that could save you some headaches.

Most people in the space don't know this, but...

You can leverage trusted third parties that have also created amazing components open-source, like Coinbase, which has this thing called AgentKit.

It's basically like getting a head start - they've created ready-to-use components that handle a lot of the heavy lifting for you.

Think of it as getting a partially built house instead of starting with just the land and materials.

But let's be real - AgentKit isn't going to do all the work for you. You still need to know what you're doing with it.

Because having the tools is one thing, and knowing how to use them properly is another.

You'll need expertise to:

• Set everything up correctly on your end

• Deploy it properly to the server

• Configure it for your specific platform functionality needs

• Make sure it's secure and reliable

Look, at this point, you've got TWO paths moving forward.

You can either dive in and learn all this stuff yourself (which is totally doable but takes time and development expertise)...

Or you can work with people who've already figured it out.

See, we live and breathe this space…

And built some of the most successful AI agents for some of the most demanding projects in the space and helped a ton of Web3 projects like Anomaly Games, Latx Network, and UHT Official integrate AI agents into their infrastructure…

We already have ready-made components and code for all of these steps,

And we've learned every hard lesson, so YOU don't have to.

Every component we use has been battle-tested in real-world conditions, dealing with real users and real money…

Which could significantly cut months off your development time.

So If you really want to go deep and build something with amazing functionality and can’t wait hours, weeks, or months learning how to do the steps above…

Feel free to drop me a line on TG or save a spot on my calendar for a discovery call.

I’ll be happy to share more advice, and from there we can see what we can build together.

-Andre Costa.