Gizli Sohbet (Stealth Chat)

warningProblem

"How many of you people stopped using ChatGPT?"

psychologyPotansiyel Çözüm

Kullanıcıların verilerinin gizliliğini ve kontrolünü önceliklendiren, sansüre dayanıklı ve özel bir yapay zeka sohbet platformu. Kullanıcılara hangi verilerinin AI tarafından kullanılacağını seçme ve verilerini silme hakkı tanır.

groupHedef Kitle

Gizliliğine önem veren bireysel kullanıcılar, veri güvenliği konusunda hassas profesyoneller, sansürden endişe duyanlar ve ChatGPT'nin veri politikalarından rahatsız olan kullanıcılar. Özellikle veri mahremiyeti ve şeffaflık beklentisi yüksek olan yapay zeka meraklıları.

paymentsGelir Modeli

Freemium modeli: Temel sohbet özellikleri ücretsiz sunulur. Gelişmiş özellikler (daha uzun sohbet geçmişi, daha hızlı yanıtlar, ek AI modellerine erişim) için aylık abonelik ücreti alınır. Kurumsal müşteriler için özel veri güvenliği ve özelleştirme paketleri de sunulabilir.

Aksiyon Planı

Kullanıcı hesapları ve güvenli kimlik doğrulama

Sohbet geçmişini şifreleyerek saklama ve silme özelliği

Kullanıcının veri kullanım izinlerini yönetebileceği ayarlar paneli

Temel AI sohbet yetenekleri (soru cevaplama, metin üretimi)

Kullanıcı geri bildirim mekanizması

Pazar Analizi

8.6Puan

Kaynak: entrepreneuropen_in_new

AI Prompt

Build a fully functional MVP of 'Stealth Chat' (Gizli Sohbet), a privacy-focused AI chatbot application. The application should be built using Next.js App Router (app/ directory), with a multi-page structure. Implement robust CRUD operations for user data and chat history using Drizzle ORM with PostgreSQL as the database. 

**Core Features to Implement:**

1.  **User Authentication:** Secure user registration, login, and logout using NextAuth.js or a similar robust library. Implement password hashing and secure session management.
2.  **User Profile Management:** Users should be able to manage their profile information. This includes an 'Account Settings' page where users can view and potentially update basic profile details.
3.  **Data Privacy Controls:**
    *   **Data Usage Consent:** A dedicated section in 'Account Settings' where users can explicitly grant or revoke consent for their chat data to be used for AI model training. Default should be 'opt-in' (meaning data is NOT used by default).
    *   **Chat History Deletion:** Users must have the ability to delete individual chat sessions and their entire chat history. This action should be irreversible and remove data from the database.
    *   **Data Export:** (Optional for MVP, but good to consider) A feature to export chat history in a user-readable format (e.g., JSON, TXT).
4.  **Chat Interface:**
    *   **Multi-Page Structure:** Implement a dedicated page for the chat interface (e.g., `/chat`). This page should be protected and only accessible to logged-in users.
    *   **Real-time Chat:** Simulate real-time chat experience. When a user sends a message, it should be saved to the database, and the AI response should be fetched and displayed.
    *   **Message Display:** Display user messages and AI responses clearly, distinguishing between the two.
5.  **AI Integration:**
    *   **Placeholder AI Endpoint:** For the MVP, simulate AI responses. Create an API route (e.g., `POST /api/chat`) that accepts user messages and returns a predefined or slightly varied AI response. In a later stage, this would be replaced with actual LLM API calls (e.g., OpenAI, Anthropic, local models).
    *   **API Route for Chat:** The `/api/chat` route should handle receiving user messages, saving them to the database associated with the user's session, and returning the AI's response.
6.  **Database Schema (Drizzle ORM with PostgreSQL):**
    *   `users` table: `id`, `name`, `email`, `password_hash`, `created_at`, `updated_at`.
    *   `chats` table: `id`, `user_id` (foreign key to users), `created_at`, `updated_at`.
    *   `messages` table: `id`, `chat_id` (foreign key to chats), `sender` ('user' or 'ai'), `content` (text), `created_at`.
    *   `user_privacy_settings` table: `user_id` (foreign key to users, unique), `allow_data_for_training` (boolean, default false), `created_at`, `updated_at`.

**Technical Stack & Requirements:**

*   **Framework:** Next.js 13+ (App Router).
*   **Database:** PostgreSQL.
*   **ORM:** Drizzle ORM.
*   **Authentication:** NextAuth.js.
*   **Styling:** Tailwind CSS (or choose a simple, clean UI library like Shadcn/ui).
*   **State Management:** React Context API or Zustand for simpler client-side state.
*   **Deployment:** Ensure the structure is ready for deployment on platforms like Vercel or Netlify.

**Key Considerations for Prompt:**

*   **Directory Structure:** Organize the Next.js App Router correctly (e.g., `app/`, `components/`, `lib/`, `db/`, `api/`).
*   **API Routes:** Implement API routes for handling user messages, fetching chat history, managing user settings, and authentication.
*   **CRUD Logic:** Ensure complete Create, Read, Update, Delete functionality for chat messages and user settings.
*   **Error Handling:** Implement basic error handling for API calls and database operations.
*   **Security:** Prioritize security in authentication, data handling, and API route implementation. Never expose sensitive keys directly in frontend code.