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Enabling Learning AI Tutor Case Study

Verónica: AI-Powered Tutoring System

RAG Driven Vector Database Workshop Companion EN/ES/PT Support

Verónica is an expert AI-powered tutoring system created by Enabling Learning. She is specifically trained on our professional development workshops and the pedagogical content of Luis Hernandez's upcoming book.

Technical Architecture

Rich Context Prompting

Front-loads every request with comprehensive educational context, certification standards, and guardrails to transform general AI into a specialized teaching assistant.

Knowledge Anchoring (RAG)

Retrieves verified content (academic papers, certification guidelines) from a vector database to ground responses in fact, effectively minimizing hallucinations.

Domain-Specific Fine-Tuning

Adapts the model's underlying patterns using thousands of examples of high-quality bilingual education resources and proven teaching methodologies.

Precision Control

Uses lowered temperature settings to prioritize consistency and adherence to verified information over creative variability.

Multi-Model Architecture

A model-agnostic system that selects the best-performing model (OpenAI, Anthropic, Google) for each specific task, verified by cross-model validation.

Continuous Expert Validation

Bilingual education specialists regularly review the knowledge base to ensure ongoing alignment with pedagogical standards.

Human Expertise Powered by AI

Verónica doesn't just process algorithms; she is fueled by the foundational knowledge and practical classroom wisdom of experienced bilingual educators and instructional designers. This human-in-the-loop approach ensures every response is pedagogically sound.

Integrated Learning Ecosystem

The Verónica system is available across all Enabling Learning online courses and professional development workshops, providing real-time coaching for bilingual and ESL educators.

Learn more at Enabling Learning