Building an AI Naming Agent: From Zero to Production in 2024

Honestly? I never thought I'd be building an AI-powered naming tool. But here we are – after spending months wrestling with Next.js, GLM-4, and Framer Motion, I've finally got something that actually works. Welcome to the Name Agent journey.

The Problem That Started It All

So here's the thing: naming things is hard. Really hard. Whether you're naming a baby, a startup, or even your pet goldfish, the pressure is immense. I found myself staring at a blank screen for hours, trying to come up with names for my various projects, and it was honestly draining.

Then one day, I thought "What if I could use AI to help with this?" And just like that, the Name Agent idea was born.

Meet Name Agent

Name Agent is a Next.js-powered naming assistant that leverages GLM-4, one of China's most advanced large language models. It's designed to help users generate meaningful, culturally appropriate names with a delightful user interface.

GitHub: https://github.com/ava-agent/name-agent

Tech Stack:

• Next.js 16 (App Router)
• Framer Motion for animations
• Zustand for state management
• GLM-4 API integration
• Apple-inspired card-based UI

The Good Parts (Pros)

✨ Intuitive Card-Based Interface

I spent way too much time perfecting this. Instead of boring text inputs, users get 17 interactive cards that they can swipe through. It's like Tinder for names, but actually useful.

// Example card component
const NamingCard = ({ name, meaning, score }) => {
  return (
    <motion.div 
      className="bg-white rounded-2xl shadow-lg p-6 cursor-pointer"
      whileHover={{ scale: 1.02 }}
      whileTap={{ scale: 0.98 }}
    >
      <h3 className="text-2xl font-bold text-gray-800 mb-2">{name}</h3>
      <p className="text-gray-600 mb-1">{meaning}</p>
      <div className="flex items-center mt-3">
        {[...Array(5)].map((_, i) => (
          <Star key={i} filled={i < score} />
        ))}
      </div>
    </motion.div>
  );
};

🧠 6-Dimensional Context System

This is where the magic happens. The system considers six different dimensions when generating names:

1. Cultural Context - Traditional vs modern naming conventions
2. Phonetics - How the name sounds and flows
3. Meaning - The actual definition and implications
4. Popularity - Trend analysis to avoid overused names
5. Compatibility - How the name works with surnames
6. Personal Preferences - User-specific criteria

🎨 Apple-Style Animations

I'm not gonna lie, I spent an unhealthy amount of time getting the animations just right. Framer Motion made it possible to create smooth, natural-feeling interactions that actually make naming feel... fun?

The Hard Truths (Cons)

😅 It's Still Young

With only 1 star on GitHub (as of this writing), this is clearly a work in progress. The model isn't perfect, and sometimes it suggests names that are... questionable, to say the least.

💸 GLM-4 API Costs

Every name generation call costs money. At scale, this could get expensive quickly. I'm currently working on optimizing prompts and caching results to reduce costs.

🐛 Edge Cases Galore

Chinese naming is incredibly complex. There are regional differences, character combinations that should be avoided, and cultural nuances that I'm still learning to handle.

What I Learned the Hard Way

"Simple" is Actually Hard

My first attempt was this massive monolithic component that tried to do everything at once. It was a disaster. Performance was terrible, and the code was impossible to maintain.

The lesson: Start small, build incrementally, and break things down into logical components.

// My first attempt - don't do this!
const MegaNamingComponent = () => {
  const [names, setNames] = useState([]);
  const [loading, setLoading] = useState(false);
  const [filters, setFilters] = useState({});
  const [preferences, setPreferences] = useState({});
  const [context, setContext] = useState({});
  const [animationState, setAnimationState] = useState({});
  // ... 50 more state variables and event handlers

  return (
    <div className="mega-component">
      {/* 500 lines of JSX */}
    </div>
  );
};

State Management Matters

Zustand came to the rescue here. Managing state in a complex naming application with multiple components that need to communicate was a nightmare until I adopted a proper state management pattern.

// Zustand store for naming app
const useNamingStore = create((set) => ({
  names: [],
  selectedFilters: {},
  userPreferences: {},
  loading: false,
  error: null,

  setNames: (names) => set({ names }),
  addName: (name) => set((state) => ({ 
    names: [...state.names, name] 
  })),
  removeName: (nameId) => set((state) => ({
    names: state.names.filter(n => n.id !== nameId)
  })),
  // ... other actions
}));

API Integration is Tricky

Working with GLM-4 taught me a lot about API design, error handling, and rate limiting. My first implementation would crash if the API was down or returned unexpected data.

The Architecture Breakdown

Frontend Flow

1. User selects naming criteria (baby, pet, business, etc.)
2. System constructs 6-dimensional prompt
3. Call GLM-4 API with optimized prompt
4. Parse and score responses
5. Display as interactive cards
6. Allow user feedback to improve future suggestions

Key Challenge: Prompt Engineering

The biggest breakthrough was realizing that prompt structure is everything. Early attempts produced generic, boring names. The current approach uses structured prompting with specific constraints and examples.

const generateNamingPrompt = (context) => {
  return `
你是一个专业的起名AI助手，请根据以下上下文生成合适的名字：

上下文维度：
- 类型：${context.type}
- 性别：${context.gender}
- 文化背景：${context.culture}
- 偏好风格：${context.style}
- 字数要求：${context.length}
- 特殊要求：${context.specialRequirements}

要求：
1. 生成10个候选名字
2. 每个名字包含含义解释
3. 考虑音韵美感
4. 避免不良含义
5. 符合文化传统

请用JSON格式返回结果。
  `.trim();
};

What's Next?

I'm currently working on:

1. Better error handling - The app should gracefully handle API failures
2. Offline mode - Cache previous results for better user experience
3. Multi-language support - English naming capabilities coming soon
4. Community features - Let users share and vote on names

What Would YOU Build?

This has been an incredible learning journey, but I'm curious - what would you improve about Name Agent? Are there any naming features you've always wanted?

More importantly, what's your biggest "I never thought I'd build that" story? Drop it in the comments – I'd love to hear about your own unexpected AI projects!

---

P.S. If you found this helpful, give the repo a star ⭐ It helps more than you realize!

Follow me for more tales of AI development, failed experiments, and the occasional accidental success.