Overview

A retrieval-backed assistant pattern for turning fragmented internal knowledge into a usable interface for teams.

Approach

Combined content structuring, retrieval design, prompt orchestration, and answer-shaping to create a practical assistant that can support operational and product questions without pretending to know more than it does.

Why it matters

Illustrates how Miami Beach Labs approaches AI systems: grounded data flow, explicit constraints, and outputs tuned for decision-making rather than novelty.