You are helping me build the following AI agent workflow.

## Goal
Real Estate AI Chatbot with Property Matching: Receives real estate inquiries via webhook, extracts preferences using LLMs, matches properties from PostgreSQL.

## Specification
- What it does: You get instant property matches for your real estate inquiries as the agent extracts your details from incoming messages and searches available listings. It saves your preferences in our database and handles appointment scheduling via email, freeing you to focus on finding your perfect home without manual follow-ups.
- Trigger: Triggered by an event (Event · on customer message via webhook)
- Autonomy: Fully hands-off
- Expected setup effort: a few focused days
- Tools/services involved:
  - Webhook API: Receiving initial customer chat messages
  - OpenAI Chat Model: Processing inquiries and generating responses
  - Postgres: Storing customer data and conversation history
  - SerpApi (Google Search): Searching for property listings online
  - Gmail: Monitoring appointment confirmations and sending emails

## Known pitfalls, handle each one explicitly in your implementation
1. Storing sensitive user data in plain text is a security risk so encrypt PII before writing to PostgreSQL.
2. Email delivery can fail silently if Gmail scopes are misconfigured so add explicit error logging for send operations.

## Reference implementation
https://n8n.io/workflows/7250 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/real-estate-ai-chatbot-with-property-matching/ via usecasesforagents.com