Dany Besteiro

Value Proposition

The problem MarinAI aims to solve is primarily focused on small and medium-sized businesses, independent professionals, and organizations with limited resources available for maintaining an active digital presence. Many of these organizations do not have dedicated communication, marketing, or content creation teams. Today, many companies understand the importance of publishing content consistently on social media, blogs, or professional platforms, but maintaining that editorial rhythm requires time, expertise, and costs that are not always affordable.

MarinAI’s value proposition is centered precisely on reducing that entry barrier. The platform automates a large part of the content creation lifecycle. In this first prototype phase, its capabilities focused on article generation, multilingual adaptation, SEO optimization, and automated publishing across different digital channels. Future possibilities included trend detection, automated report generation, and even real-time management of limited communications workflows. This allowed small organizations to maintain a continuous and professional communication strategy without the need to build an in-house marketing department.

Beyond operational savings, MarinAI also aims to solve another common issue faced by many businesses: inconsistency in digital communication. Companies with deep sector expertise often struggle to transform that knowledge into publishable content on a regular basis. Intelligent automation makes it possible to convert relevant industry information into publications adapted to different formats and channels, helping improve visibility, positioning, and relationships with potential customers. From a more strategic perspective, the project also explores how AI-based agents can become productivity tools for small and medium-sized businesses. MarinAI was never intended to replace human creativity, but rather to act as an accelerator capable of enabling smaller initiatives to improve their positioning through advanced content generation and digital automation tools that until recently were only accessible to large companies with specialized teams.

Technical Information

Architecture

MarinAI’s architecture is designed following principles of separation of responsibilities and modularity, allowing the information acquisition flow, content generation, and automated publishing processes to remain decoupled. The system consumes news from external sources through JSON-structured REST APIs and transforms that information into editorial content using generative Artificial Intelligence models. One of the main architectural goals is to remain independent from the AI provider being used. For that reason, the system has been designed to integrate with different models and platforms. It currently uses HuggingFace, although OpenAI and Gemini have also been used at different stages. This makes it possible to adapt capabilities, costs, and generation quality depending on the project’s needs. The platform also incorporates a multilingual system based on translatable entities, automated SEO generation, dynamic categorization, and distributed publishing mechanisms across different digital channels. All of this runs on an architecture designed to evolve towards more complex workflows based on autonomous agents and editorial automation.

Stack

- Backend based on PHP 8.4 with Symfony 7
- Data persistence using PostgreSQL
- Docker containers for reproducible environments and consistent deployments
- Integration with generative Artificial Intelligence APIs (HuggingFace)
- Integration with external platforms such as WordPress and LinkedIn