PixelPilot uiux-ai-frontend.instructions.md

UI/UX AI-Powered Frontend 2026

AI search (semantic search, embeddings), AI autocomplete (GPT-powered), chat interfaces (Gemini API), and content generation.

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1. AI-POWERED SEARCH (Semantic Search)

Traditional keyword search is being replaced by semantic search using embeddings.

• Supabase Vector: Store and query embeddings for free.
• Pinecone: Scalable vector database with a generous free tier.
• Weaviate: Open-source vector database with a free cloud tier.

Logic: Instead of matching "shoes", match the meaning of "footwear for running".

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2. AI AUTOCOMPLETE (GPT-Powered)

Use the Vercel AI SDK for real-time AI-powered input suggestions.

import { useCompletion } from 'ai/react';

export function AIAutocomplete() {
  const { completion, input, handleInputChange, handleSubmit } = useCompletion({
    api: '/api/completion',
  });

  return (
    <div className="field">
      <label htmlFor="ai-input">Ask AI</label>
      <input
        id="ai-input"
        value={input}
        onChange={handleInputChange}
        onKeyDown={(e) => e.key === 'Enter' && handleSubmit(e)}
        className="field__input"
        placeholder="Type something..."
      />
      {completion && <p className="field__helper">{completion}</p>}
    </div>
  );
}

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3. CHAT INTERFACE (Gemini API Example)

import React, { useState } from 'react';

export function AIChat() {
  const [messages, setMessages] = useState([]);
  const [input, setInput] = useState('');
  const [isLoading, setIsLoading] = useState(false);

  const sendMessage = async () => {
    if (!input.trim()) return;
    const userMsg = { role: 'user', content: input };
    setMessages(prev => [...prev, userMsg]);
    setInput('');
    setIsLoading(true);

    try {
      const res = await fetch('/api/chat', {
        method: 'POST',
        body: JSON.stringify({ prompt: input }),
      });
      const data = await res.json();
      setMessages(prev => [...prev, { role: 'ai', content: data.text }]);
    } catch (error) {
      swal.error('AI Error', 'Failed to get response');
    } finally {
      setIsLoading(false);
    }
  };

  return (
    <div className="chat-container">
      <div className="chat-messages">
        {messages.map((m, i) => (
          <div key={i} className={`chat-bubble chat-bubble--${m.role}`}>
            {m.content}
          </div>
        ))}
        {isLoading && <div className="skeleton chat-bubble--ai" style={{ width: '60%', height: 40 }}></div>}
      </div>
      <div className="chat-input">
        <input
          value={input}
          onChange={(e) => setInput(e.target.value)}
          onKeyDown={(e) => e.key === 'Enter' && sendMessage()}
          placeholder="Ask anything..."
          className="field__input"
        />
        <button onClick={sendMessage} className="btn btn--primary btn--sm">Send</button>
      </div>
    </div>
  );
}