Technical Architecture

Resenha FC

AI Agents LLM Workflows Golang Rust FFmpeg Meta API

The Problem

"Digital sports channels face a severe operational bottleneck: manually curating, translating, and generating video content is too slow to capture viral trends. Standard video compilation chains are slow and expensive to operate, making it impossible to scale content production dynamically during global live sporting events."

Engineering Solution

We designed and led the development of an autonomous content distribution engine powered by a multi-agent AI system. The engine monitors real-time sports signals, coordinates prompt workflows to draft narrative copy, and translates it instantly. In parallel, a robust Golang and Rust backend orchestrates automated hardware-accelerated video rendering using FFmpeg, publishing automatically to social networks via Meta Graph API.

Systemic Result

Completely eliminated manual editing pipelines, driving a 95% operational cost reduction and enabling instant content scaling. The platform successfully maintained a 24/7 automated publication cycle with zero downtime, driving exponential organic traffic growth.

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