Bref.news - Automated Tech Newsletter

The challenge

Bref.news wanted to create a reference source of information in the field of SaaS and tech, but faced the challenge of ensuring consistent and relevant content curation in a sector where information evolves very quickly. The founding team wanted to minimize human intervention while maintaining high editorial quality and perfect relevance for their target audience.

Our approach

We designed an intelligent automation architecture combining source aggregation systems, contextual filtering algorithms, and AI models for content analysis and synthesis. Our approach focused on creating a scalable system capable of learning from user interactions to continuously refine its content selection and editorial tone.

The solution

The system we developed for Bref.news monitors more than 500 tech information sources in real-time, uses AI to identify the most relevant content, automatically generates concise summaries, and compiles this information into newsletters and blog articles formatted according to the brand's editorial charter. An administration interface allows the Bref.news team to supervise the process and adjust content selection parameters without requiring technical expertise.