Pueblo Unido
A listings site and an AI agent that answers buyers in English and Spanish, qualifies leads, books viewings and hands off to Diana, the agent, when a person adds value. Live for a working brokerage.
Problem
Diana runs a small brokerage serving a largely Spanish-speaking community. Inbound questions arrive at all hours in two languages, and every one of them is a potential sale that goes cold if it waits until morning.
Off-the-shelf chat widgets answer in one language, cannot qualify a buyer, and hand off nothing useful to the agent.
Approach
- 01
Build the public site around the way Diana actually works: listings, the team and the area, presented so that browsing turns into a conversation.
- 02
Put a bilingual AI agent behind it, on Gemini 2.5 Flash, that answers in the buyer's language, qualifies the lead, offers viewing times and writes a clean handoff note for Diana.
- 03
Treat the agent as a system to be tested, not a prompt to be tweaked: LangSmith evaluations for answer quality in both languages, and PyRIT red-teaming for prompt injection, data leakage and off-topic behaviour before launch.
- 04
Keep the stack boring and cheap to run: React, TypeScript and Vite on Vercel, Firebase for auth and data.
Architecture
The React site on Vercel talks to Firebase for auth and data; the agent runs on Gemini 2.5 Flash with a bilingual system prompt; LangSmith evals and PyRIT red-teaming gate changes to the agent; qualified conversations hand off to Diana.
Built with
- React
- TypeScript
- Vite
- Vercel
- Firebase
- Gemini 2.5 Flash
- LangSmith evals
- PyRIT red-teaming
Outcome
Live for a working brokerage. The agent answers in both languages around the clock and hands qualified conversations to Diana with the context she needs.
The evaluation and red-team suites run before any change to the agent ships.
Decisions
Gemini 2.5 Flash over a larger model
because the conversations are short and bilingual; latency and cost matter more than reasoning depth.
Red-teaming before launch over monitoring after
because the agent speaks for a real business to real buyers; the first injection attempt should not be a customer.
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