Learn How to Create, Customize, and Launch AI Agents. No Coding Skills Needed.
Building AI agents is soon going to be a must-have skill. Deploying your AI agent may sound complex, but with Eliza OS and Fleek, it’s surprisingly doable, even if you’ve never written a line of code! They’re deployable, configurable, and already embedding themselves into user workflows if you know how to do it right.
This guide introduces the full process step-by-step, with a practical example, useful tips, and everything you need to create a powerful, responsive digital character in minutes.
How Can I Build an AI Agent?
The frameworks are evolving fast. And the Eliza OS + Fleek combo is giving builders a real edge. These tools have everything you need to create a powerful, responsive digital character in minutes.
Building an AI Agent on Eliza OS
Eliza is the brain and framework behind your AI agent. It gives you a modular and flexible structure to grow whatever agent you’re creating.
These agents can connect to social apps, blockchains, and dApps. Built with flexibility in mind, Eliza supports multiple large language models (LLMs), a wide range of plugins, and community integrations like Discord, Telegram, Slack, GitHub, and more.
Eliza OS is where you define the brain and behavior of your agent. You start with the basics: what it knows, how it responds, where it lives. But what makes this framework stand out is its modularity. Every component is configurable: the bio, the personality, the content style, and the integrations. This entity can operate across platforms and adapt to new data over time.
Building a Personality
AI agents in Eliza are powered by “character files.”
Agent name and avatar
Knowledge sources
Personality traits
Style of interaction
Preferred social channels
Supported plugins
Now, once you've mapped out the interaction style, plugged in the APIs, and selected your model provider, you’re ready to go live. Eliza is where you create and configure your agent’s intelligence and behavior. Normally, this is done by editing JSON files manually, but that’s where Fleek comes in.
Building an AI Agent on Fleek
Fleek is an easy user interface that helps you build and launch your Eliza agent without writing code. While Eliza itself is developer-friendly, Fleek makes it truly accessible. There’s no cloning of GitHub repos or server setup involved. Instead, users launch AI agents through a sleek UI with drag-and-drop features and drop-down menus.
Defining Agent Purpose and Scope
With Fleek, almost anyone can build and run a live AI agent in under 30 minutes. From model selection to integration with platforms like Twitter or Discord, it’s all done visually:
Access a no-code interface to fill in Eliza’s settings
Upload or create your character (instead of using code)
Set your platform (Twitter, Discord, etc.)
Handle the hosting and deployment (runs your agent 24/7)
Connect your API keys safely (OpenAI, Twitter, etc.)
Click “Publish” to launch your agent live
And this matters, because when you're building for Web3 ecosystems, you're not just dealing with generic user inputs but managing token data, API feeds, Discord conversations, Twitter threads, and possibly even DAO governance input
💡 Pro Tip: Review agent settings before launch!
Double-check knowledge entries
Confirm API keys are secure
Test sample messages
Preview post styles
Review platform permissions
A clean launch avoids reconfiguration headaches later.
Deploy Your First Agent!
You’re now equipped to create and launch AI agents that actually do the work. And you didn’t need to touch a single line of code!
Posting content, handling replies, and engaging with communities across platforms are just a few use cases you can play with. Let it run. Watch how it behaves. Fine-tune the responses. The earlier you start building, the quicker you’ll figure out what works for your goals, and where to take it next.
If you're exploring how to use AI agents in real-world decentralized ecosystems, come check out what the builders at DeFAI Hub are working on. It’s a growing space full of live experiments, agent tools, and AI-native Web3 projects worth diving into.