Designed and built an AI camp assistant that routes parent questions, retrieves verified program information, and generates contextual answers through a conversational interface.
Making the complex understandable.
Parents needed fast, accurate answers, but schedules, fees, and policies lived across different content areas. The system also had to resist prompt injection, avoid exposing private information, and stay inside a narrow youth-sports support scope.
Direction with hands-on depth.
I designed and built the orchestration model, classifier schema, global state, intent routing, retrieval strategy, guardrails, and end-to-end conversational experience. I also implemented and tested the working prototype as part of a larger site rebrand.
Designed to work beyond one screen.
A strict JSON classifier routes each request to a specialized schedule, fee, or FAQ agent. Each agent retrieves from isolated, curated knowledge, while global safeguards handle out-of-scope requests and PII. The result is a simpler front door to complex information.
Evidence that the work moved things forward.
- Approximately 30% lower latency after workflow optimization
- All out-of-scope prompts in the tested prompt set were safely contained
- Dates and fees remained accurate across the tested knowledge set
- Reusable architecture for local sports and catalog-based assistants
From thinking
to shipped work.
Process, systems, and final executions from the original case study.
