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Autonomous Content Factory (ACFact)

Project Title Autonomous Content Factory using AI Agents


The Problem

Creating high-quality content consistently is time-consuming, resource-intensive, and difficult to scale. Individuals and organizations often struggle to maintain content quality while increasing production across multiple platforms.


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The Solution

The Autonomous Content Factory (ACFact) solves this problem by using a system of AI agents that collaboratively generate content.

Instead of relying on a single AI model, the system breaks down content creation into multiple stages such as idea generation, drafting, refinement, and formatting. Each stage is handled by a specialized AI agent, creating a pipeline that mimics a real-world content production workflow.

This modular and agent-based approach enables:

  • Scalable content generation
  • Improved quality through task specialization
  • Reduced manual effort
  • Flexibility to customize workflows

#Tech Stack

Programming Language

  • Python

Frameworks & Libraries

  • Flask
  • LangChain (or similar agent orchestration tools)
  • python-dotenv

AI APIs

  • Claude API (Anthropic)

Database

  • SQLite

Frontend

  • HTML
  • Bootstrap

Tools

  • Git & GitHub
  • VS Code

Setup Instructions (Quick Start)

Clone the Repository git clone https://github.com/rahulomatic/ACFact.git cd ACFact

Create Virtual Environment python -m venv venv

Activate Virtual Environment

Windows venv\Scripts\activate

Mac/Linux

source venv/bin/activate

Install Dependencies pip install -r requirements.txt

Configure Environment Variables

Create a .env file in the root directory and add:

ANTHROPIC_API_KEY=your_api_key_here

Run the Application python app.py

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