# Building Custom AI Agents (Your AI, Your Rules)

Faktora.ai enables developers to **create, train, and deploy custom AI agents** that automate DeFi operations, execute trades, manage liquidity, and interact with smart contracts—**all without requiring constant human intervention.**

Unlike traditional DeFi bots, **Faktora AI agents are modular, adaptive, and can be customized with different execution strategies.** Developers can:

* **Define unique agent personalities & decision-making logic**
* **Train agents to optimize for yield farming, arbitrage, market-making, or treasury management**
* **Connect agents to multiple DeFi protocols using a plug-and-play architecture**

***

### **Step-by-Step: Building a Custom AI Agent**

#### **1️⃣ Define Agent Behavior & Execution Strategy**

Developers can specify how an AI agent should behave using natural language commands or predefined templates.

```json
{
  "name": "Yield Optimizer",
  "description": "AI agent that allocates funds to the highest-yielding DeFi pools",
  "strategy": {
    "liquiditySources": ["Aave", "Compound", "Curve"],
    "riskTolerance": "medium",
    "executionFrequency": "hourly"
  }
}
```

💡 **This JSON blueprint defines an AI agent that scans DeFi protocols for the best yield farming opportunities and reallocates funds dynamically.**

***

#### **2️⃣ Connect to DeFi Protocols & Smart Contracts**

Faktora AI agents interact with **multiple DeFi ecosystems** using modular protocol adapters.

Example: Connecting an AI agent to Uniswap & Aave.

```typescript
import { UniswapV3 } from "faktora-ai";
import { AaveLending } from "faktora-ai";

const agent = new FaktoraAI.Agent({
  name: "Liquidity Manager",
  protocols: [UniswapV3, AaveLending],
  strategy: "optimize yield and rebalance liquidity",
});
```

💡 **This allows the agent to execute swaps on Uniswap while managing lending positions on Aave.**

***

#### **3️⃣ Implement AI-Driven Execution Logic**

Faktora AI agents **continuously refine their execution based on market conditions.**

Example: AI dynamically adjusting staking allocations.

```typescript
if (marketVolatility > threshold) {
  agent.reallocateFunds("Aave", "Compound", "stable-yield");
} else {
  agent.holdPosition();
}
```

💡 **This ensures the AI agent reacts to real-time market movements, reducing risk exposure.**

***

#### **4️⃣ Deploy & Monitor AI Agents in Real-Time**

Once configured, AI agents can be deployed on-chain, where they execute transactions autonomously.

✅ **Monitor agent performance via the Faktora dashboard**\
✅ **Adjust execution parameters dynamically without redeploying contracts**\
✅ **Enable/disable AI agent actions at any time**

Example: Deploying an AI agent with real-time monitoring.

```typescript
agent.deploy({
  network: "Ethereum",
  executionMode: "autonomous",
});
```

💡 **Agents operate fully on-chain but can be manually adjusted by developers at any time.**

***

### **Use Cases: What You Can Build with Faktora AI Agents**

| Use Case                         | Example AI Agent Functionality                                                                    |
| -------------------------------- | ------------------------------------------------------------------------------------------------- |
| **Yield Optimization**           | AI agent reallocates liquidity based on highest available APY across DeFi protocols.              |
| **Arbitrage Execution**          | Agent detects price discrepancies & executes cross-exchange arbitrage trades.                     |
| **MEV Protection**               | AI prevents frontrunning by using private relays & transaction bundling.                          |
| **On-Chain Treasury Management** | Agent manages DAO treasury funds, allocating capital based on governance-defined risk parameters. |

&#x20;**The flexibility of Faktora AI means developers can create AI agents for virtually any DeFi use case.**

***

💡 **With Faktora.ai, developers have full control over how AI interacts with DeFi—no limitations, just possibilities.**
