GENAIE can operate either independently or with the MegaNexus CAPTR (Comply Assess Plan Train Report) platform to provide personalised education with learning pathways for each user and automated content provision configured for the needs of each individual. This content is designed according to the requirements of each individual in terms of vocational area, skills, learning abilities, job aspirations and language with all content materials available in multiple languages, especially significant for disadvantaged users with limited English.

The GENAIE platform utilises a microservices architecture and generative AI to wholly automate educational and vocational course creation; it is cloud-based for scalability. This architecture deploys the application as a collection of services, providing the framework to develop, deploy, and customise services independently.

GENAIE leverages a set of different fine-tuned Transformer-based natural language models. Natural language generation workflows chain together prompt engineering, large language models (LLMs) and helper agents into pipelines. These are coordinated by different agents or genies (Curriculum, Student, Teacher and Moderator) with different motivations performing different tasks. They ensure that the content produced is appropriate for a varied set of stakeholders with different needs and wants.

As a result, GENAIE supports professionals to generate curriculum resources on any subject matter, with support for multi-language content and learning levels spanning from early primary to advanced.