You are helping me build the following AI agent workflow.

## Goal
Interview Scheduling: Candidates chat with an AI agent to book 30-minute weekday interviews between 9 AM and 5 PM EST directly on your Google Calendar.

## Specification
- What it does: You can book a 30-minute weekday interview directly in your Google Calendar by chatting with our AI agent. The system checks availability between 9 AM and 5 PM EST and automatically adds the confirmed meeting to your schedule.
- Trigger: Triggered by an event (Manual · on candidate chat access)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - n8n: Workflow orchestration platform
  - OpenAI Chat Model: Conversational AI agent processing candidate requests
  - Google Calendar: Checking availability and booking meetings

## Known pitfalls, handle each one explicitly in your implementation
1. Time zone mismatches can cause double bookings, so ensure all internal calculations are strictly converted to UTC before API calls.

## Reference implementation
https://n8n.io/workflows/3363 (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/automated-interview-scheduling-bot/ via usecasesforagents.com