graph TD
    A[Client Components] --> B[AI Integration Layer]
    B --> C[AI Utilities]
    C --> D[AI Loader]
    C --> E[AI Analyzer]
    C --> F[AI Assistant]
    B --> G[External AI Services]
    G --> H[OpenAI]
    G --> I[Custom Models]

    style A fill:#f9f,stroke:#333,stroke-width:2px
    style B fill:#bbf,stroke:#333,stroke-width:2px
    style C fill:#dfd,stroke:#333,stroke-width:2px

sequenceDiagram
    participant U as User
    participant C as Client Component
    participant S as Server Action
    participant AI as AI Service

    U->>C: Input Text
    C->>S: Send Request
    S->>AI: Process Input
    AI->>S: Return Response
    S->>C: Update UI
    C->>U: Show Result

// src/app/(app)/(ai)/wwjhd/page.tsx
import { WWJHDDemo } from "@/app/(app)/(ai)/wwjhd/_components/wwjhd-demo";

export default function Page() {
  return (
    <div className="flex min-h-screen items-center justify-center bg-gradient-to-b from-sky-300 to-sky-100">
      <WWJHDDemo />
    </div>
  );
}

// src/app/(app)/(ai)/type-ahead/page.tsx
"use client";

import AIEditor from "@/app/(app)/(ai)/type-ahead/_components/AIEditor";

export default function TypeAheadPage() {
  return (
    <div className="container mx-auto p-4">
      <h1 className="mb-4 text-2xl font-bold">AI-Powered Document Editor</h1>
      <AIEditor />
    </div>
  );
}

// src/app/(app)/(ai)/is-spam/page.tsx
import { SpamDemo } from "@/app/(app)/(ai)/is-spam/_components/spam-demo";

export default function Page() {
  return (
    <>
      <h1>Demo</h1>
      <SpamDemo />
    </>
  );
}

// src/lib/ai/ai-loader.ts
export interface AIContext {
  projectName: string;
  description: string;
  version: string;
  technologies: TechnologyStack;
  structure: ProjectStructure;
  conventions: {
    files: string[];
    components: string[];
    database: string[];
    api: string[];
  };
  routes: typeof routes;
  config: typeof siteConfig;
}

/**
 * AILoader provides context and information about the project to AI assistants
 * to help them understand the codebase and make informed decisions.
 */
export class AILoader {
  private context: AIContext;

  constructor() {
    this.context = {
      projectName: "ShipKit",
      description: "Production-ready SaaS starter kit built with Next.js",
      version: "1.0.0",
      technologies: {
        framework: "Next.js (App Router)",
        language: "TypeScript",
        styling: ["Tailwind CSS", "CSS Modules"],
        ui: ["Shadcn/UI", "Radix UI", "Lucide Icons"],
        state: ["React Context", "Zustand"],
        database: "PostgreSQL",
        cms: "Payload CMS",
        email: "Resend",
        auth: "NextAuth/AuthJS",
        packageManager: "pnpm"
      },
      // ... more configuration
    };
  }
}

// src/lib/ai/ai-analyzer.ts
export interface CodebaseInsights {
  fileStructure: string[];
  conventions: string[];
  bestPractices: string[];
  commonPatterns: string[];
  keyConsiderations: string[];
}

/**
 * AIAnalyzer helps AI assistants analyze and understand different aspects of the codebase
 * to make better decisions and provide more accurate assistance.
 */
export class AIAnalyzer {
  public getCodebaseInsights(): CodebaseInsights {
    return {
      fileStructure: [
        "App Router's file-based routing system",
        "Route groups for feature organization",
        "Parallel routes for complex layouts",
        "Intercepting routes for modals",
        "Dynamic routes for data-driven pages",
      ],
      conventions: [
        "Server-first approach with React Server Components",
        "Client components marked with 'use client'",
        "Server actions for data mutations",
        "Server-side data fetching in layout and page components",
        "Component-level TypeScript types",
      ],
      // ... more insights
    };
  }
}

// src/lib/ai/ai-assistant.ts
export interface ImplementationDecision {
  approach: string;
  reasoning: string[];
  considerations: string[];
  recommendations: string[];
  pitfalls: string[];
}

/**
 * AIAssistant helps make decisions about code implementation and provides
 * guidance on best practices for the ShipKit codebase.
 */
export class AIAssistant {
  private context = aiLoader.getContext();
  private insights = aiAnalyzer.getCodebaseInsights();

  public getImplementationGuidance(feature: string): ImplementationDecision {
    return {
      approach: "Server-first implementation with React Server Components",
      reasoning: [
        "Following established project patterns",
        "Maintaining consistency with existing codebase",
        "Optimizing for performance and maintainability",
        "Ensuring type safety with TypeScript",
        "Following Next.js best practices",
      ],
      considerations: [
        "Server vs client component trade-offs",
        "Data fetching strategy",
        "State management approach",
        "Performance implications",
      ],
      // ... more guidance
    };
  }
}

// Example of integrating AI features into components
"use client";

import { useState } from "react";
import { Input } from "@/components/ui/input";
import { LoadingSpinner } from "@/components/ui/loading-spinner";
import { SuggestionsList } from "@/components/ui/suggestions-list";
import { getAISuggestions } from "@/lib/ai/suggestions";

export const AIEnabledComponent = () => {
  const [suggestions, setSuggestions] = useState<string[]>([]);
  const [loading, setLoading] = useState(false);

  const handleInput = async (value: string) => {
    setLoading(true);
    try {
      const aiSuggestions = await getAISuggestions(value);
      setSuggestions(aiSuggestions);
    } catch (error) {
      console.error('AI suggestion error:', error);
    } finally {
      setLoading(false);
    }
  };

  return (
    <div className="space-y-4">
      <Input onChange={(e) => void handleInput(e.target.value)} />
      {loading ? (
        <LoadingSpinner />
      ) : (
        <SuggestionsList suggestions={suggestions} />
      )}
    </div>
  );
};

// Example of server-side AI integration
import { aiLoader } from "@/lib/ai/ai-loader";
import { aiAnalyzer } from "@/lib/ai/ai-analyzer";
import { aiAssistant } from "@/lib/ai/ai-assistant";
import { AIProcessingError } from "@/lib/ai/errors";

export async function processWithAI(input: string) {
  try {
    const aiContext = aiLoader.getContext();
    const insights = aiAnalyzer.getCodebaseInsights();
    const guidance = aiAssistant.getImplementationGuidance(input);

    return {
      success: true,
      data: {
        context: aiContext,
        insights,
        guidance,
      },
    };
  } catch (error) {
    console.error('AI processing error:', error);
    if (error instanceof AIProcessingError) {
      return {
        success: false,
        error: error.message,
        code: error.code,
      };
    }
    return {
      success: false,
      error: 'Failed to process with AI',
    };
  }
}

flowchart TD
    A[User Input] --> B{Validate Input}
    B -->|Valid| C[Process with AI]
    B -->|Invalid| D[Return Error]
    C --> E{Check Response}
    E -->|Success| F[Transform Data]
    E -->|Error| G[Handle Error]
    F --> H[Return Response]
    G --> I[Log Error]
    I --> J[Return Error Response]

flowchart TD
    A[AI Request] --> B{Try Process}
    B -->|Success| C[Return Result]
    B -->|Error| D{Error Type}
    D -->|AI Error| E[Handle AI Error]
    D -->|Network| F[Handle Network Error]
    D -->|Validation| G[Handle Validation Error]
    E --> H[Return Error Response]
    F --> H
    G --> H

graph LR
    A[Components] --> B[AI Integration]
    B --> C[AI Loader]
    B --> D[AI Analyzer]
    B --> E[AI Assistant]

    subgraph AI Services
        F[OpenAI]
        G[Custom Models]
        H[Vector DB]
    end

    B --> AI Services

    style A fill:#f9f,stroke:#333,stroke-width:2px
    style B fill:#bbf,stroke:#333,stroke-width:2px
    style C,D,E fill:#dfd,stroke:#333,stroke-width:2px

// Test the WWJHD component
import { render, screen, fireEvent, waitFor } from "@testing-library/react";
import { WWJHDDemo } from "@/app/(app)/(ai)/wwjhd/_components/wwjhd-demo";

describe("WWJHDDemo", () => {
  it("should handle form submission", async () => {
    render(<WWJHDDemo />);

    const textarea = screen.getByRole("textbox");
    const submitButton = screen.getByRole("button");

    fireEvent.change(textarea, {
      target: { value: "How should I structure my Next.js app?" }
    });
    fireEvent.click(submitButton);

    await waitFor(() => {
      expect(screen.getByText(/loading/i)).toBeInTheDocument();
    });
  });
});

// Test the AI Editor component
import { render, screen, fireEvent, waitFor } from "@testing-library/react";
import AIEditor from "@/app/(app)/(ai)/type-ahead/_components/AIEditor";

describe("AIEditor", () => {
  it("should handle text input and suggestions", async () => {
    render(<AIEditor />);

    const textarea = screen.getByRole("textbox");

    fireEvent.change(textarea, {
      target: { value: "const component" }
    });

    await waitFor(() => {
      expect(screen.getByText(/suggestion/i)).toBeInTheDocument();
    });

    fireEvent.keyDown(textarea, { key: "Tab" });
  });
});

// Test the Spam Detection component
import { render, screen, fireEvent, waitFor } from "@testing-library/react";
import { SpamDemo } from "@/app/(app)/(ai)/is-spam/_components/spam-demo";

describe("SpamDemo", () => {
  it("should handle form submission and validation", async () => {
    render(<SpamDemo />);

    const textarea = screen.getByRole("textbox");
    const submitButton = screen.getByRole("button");

    // Test empty submission
    fireEvent.click(submitButton);
    expect(screen.getByText(/please enter/i)).toBeInTheDocument();

    // Test valid submission
    fireEvent.change(textarea, {
      target: { value: "This is a test message" }
    });
    fireEvent.click(submitButton);

    await waitFor(() => {
      expect(screen.getByText(/result/i)).toBeInTheDocument();
    });
  });
});

# Run all tests
pnpm test

# Run specific test file
pnpm test wwjhd-demo.test.tsx
pnpm test ai-editor.test.tsx
pnpm test spam-demo.test.tsx

# Run tests in watch mode
pnpm test:watch

## Component/Feature
[Specify the AI component or feature]

## Type
- [ ] Bug Report
- [ ] Enhancement Request
- [ ] Documentation Improvement
- [ ] Performance Issue
- [ ] Security Concern

## Description
[Detailed description of the feedback]

## Expected Behavior
[What you expected to happen]

## Current Behavior
[What actually happened]

## Steps to Reproduce
1. [First Step]
2. [Second Step]
3. [Additional Steps...]

## Environment
- Node.js Version: [e.g., 18.17.0]
- Next.js Version: [e.g., 14.0.3]
- Browser: [e.g., Chrome 119]
- OS: [e.g., macOS 14.0]

## Additional Context
[Any other context, screenshots, or code examples]