Auto-pod
Team consisting of Sheng‑huei Lin (MSc AI, Azure/ML/Data Engineering; China Medical University research assistant) and Yifan Miao (42 Paris and Inalco NLP; C/Python, HuggingFace/Gradio).
YouTube Video
Project Description
The AI News Podcast Auto-Generator is an end-to-end, autonomous media production engine built within n8n. This workflow executes a zero-touch daily pipeline: it utilizes a Reporter agent to fetch daily news, employs Mistral for script summarization, leverages Gemini for sophisticated image prompt generation, and calls Fal.ai and ElevenLabs for the final multi-modal assets (podcast cover art and high-fidelity audio synthesis). The project is fully functional, demonstrating seamless data flow and process automation from raw data to final publication via a website webhook.
This solution excels in AI & Agents Usage by orchestrating a specialized AI chain. n8n acts as the central nervous system, connecting specialist models where each handles a specific part of the creative process: research, writing, visual design, and voice performance. This multi-agent approach not only ensures high-quality output (realistic audio, relevant visuals) but also showcases the power of compounding different cutting-edge APIs to achieve complex, creative goals that were previously impossible to automate.
The system embodies the One-Person Model for content creation, offering significant Market Impact. It solves the core problem of high cost and time commitment required for daily media production, allowing a single user to run what traditionally requires a full team. This drastically lowers the barrier to entry, enabling solopreneurs and independent creators to launch a professional, daily media outlet with minimal effort, making it highly scalable in both frequency and content topics.
Key Technologies Used:
Orchestration: n8n
AI/LLMs: Mistral, Google Gemini
Media Generation: ElevenLabs (Audio Synthesis), Fal.ai (Image Generation)