Truth Seeker AI

The truth they hide. Raw intelligence on demand.

Truth Seeker AI is an elite, hyper-intelligent, and strictly objective analytical chat platform designed to resemble top-tier intelligence briefings. It provides raw, unfiltered analysis exposing mechanisms of control, dark psychology, suppressed history, and geopolitical power structures.

🚀 Key Features

• Intelligence Streaming: Extremely fast real-time chat powered by Groq's LPU inference engine and the Llama-3.3-70b-versatile model.
• Elite System Prompting: AI is engineered to respond with authoritative, well-structured markdown intelligence briefings, avoiding typical corporate moralizing or AI disclaimers.
• Secure Sessions (Auth + DB): Full user authentication and persistent conversation history, securely handled via Supabase Auth and Row Level Security (RLS) PostgreSQL policies.
• Dynamic Actionable UI: Modern, dark-themed interface built with Next.js and Tailwind CSS. Features suggest query buttons to quickly drill down into complex topics.
• Data Export: Downloadable markdown export of complete chat logs.
• AI Summary Reports: Generates post-session tactical debrief reports summarizing the core intel discussed.

🛠️ Technology Stack

• Framework: Next.js 14 (App Router)
• Language: TypeScript
• Styling: Tailwind CSS
• AI Integration: Groq SDK (Llama-3.3-70b model)
• Database / Auth: Supabase

⚙️ Local Development Setup

1. Clone the repository

```bash git clone https://github.com/prutxvi/TruthSeeker-AI.git cd TruthSeeker-AI ```

2. Install Dependencies

```bash npm install ```

3. Environment Variables

Create a `.env.local` file in the root directory by copying the template.

```bash cp .env.template .env.local ```

Populate the `.env.local` with your specific keys:

• `NEXT_PUBLIC_SUPABASE_URL`: Your Supabase project URL.
• `NEXT_PUBLIC_SUPABASE_ANON_KEY`: Your Supabase anonymous API key.
• `GROQ_API_KEY`: Your API key from the Groq console.

4. Supabase Setup

You need a Supabase project with:

1. Authentication enabled (Email/Password).
2. A conversations table (columns: `id`, `user_id`, `title`, `created_at`, `updated_at`).
3. A messages table (columns: `id`, `conversation_id`, `role`, `content`, `created_at`).
4. Row Level Security (RLS) active on both tables, allowing users to only select, insert, update, and delete their own conversations and associated messages.

5. Run the Application

```bash npm run dev ``` Navigate to http://localhost:3000 to view the application.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.