All case studies
AI TutorRetrieval-Augmented Generation

An AI tutor that cut support requests 74% — and stays fully compliant

A retrieval-augmented AI tutor for real estate licensing students that cites the actual statute — so every answer is accurate, compliant, and never hallucinated. It deflects routine questions, cuts support load, and saves real money.

$187k

cost savings

74%

reduction in customer service requests

100%

compliance for regulated education

Hallucination-free

through RAG (retrieval-augmented generation)

Overview

The Study App is an AI tutor for real estate licensing students. Instead of generic answers, it runs on retrieval-augmented generation (RAG) over the actual regulatory source material — so every response cites the real statute and stays accurate and compliant by construction, never hallucinated.

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The impact

By answering students' questions instantly and correctly — grounded in the DRE and FREC source text — the tutor deflects the routine 'is this on the exam / what does the rule say' questions that used to flood support. The result: a 74% reduction in customer service requests, 100% compliance for regulated education, and an estimated ~$187,000 in annual cost savings.

Built with
Anthropic ClaudeRAG (retrieval-augmented generation)Vector retrievalReactTypeScript

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