AI Document
Agent

The challenge with unstructured data at scale.

Content creation from videos or audio is an extremely slow task. Manually transcribing and then summarizing or transforming that material into different formats (scripts, articles, posts) consumes hours of intellectual work and often lacks consistency in tone of voice. Scaling this production without losing quality was impossible.

• Manual and time-consuming processes
• Difficulty in scaling production
• Lack of standardization in results
• High operational effort

An intelligent, automated extraction pipeline.

I developed a two-stage automated solution. First, I used FFmpeg to process audiovisual files and Whisper (Groq) to generate accurate transcriptions at high speed. Second, I created an AI agent using Agno and OpenAI that uses these transcriptions as context to generate any type of content in a standardized style, maintaining same quality regardless of the subject.

• Automated audio extraction and processing with FFmpeg
• High-speed AI-powered transcription (Whisper/Groq)
• AI agent orchestration with Agno
• Multi-format content generation with consistent tone

The agent provides a structured workflow for content managers, significantly reducing the gap between recording and final publication.