You are helping me build the following AI agent workflow.

## Goal
CV Screening and Interview Scheduling: Receives CVs via webhook, scores candidates with AI, sends personalized emails, schedules interviews on Google Calendar.

## Specification
- What it does: You save time by automatically receiving CVs, scoring candidate qualifications with AI, and filtering for top applicants. The agent then sends personalized emails to selected candidates, schedules their interviews on Google Calendar, and updates your team's status in Airtable.
- Trigger: Triggered by an event (Event · on new CV submission via webhook)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Airtable: Storing candidate data and job criteria
  - HTTP Request: Receiving incoming CV webhooks
  - OpenAI Chat Model: Parsing skills and assessing candidate qualifications
  - Send Email: Sending messages to qualified candidates
  - Google Calendar: Scheduling interviews automatically

## Known pitfalls, handle each one explicitly in your implementation
1. Timezone mismatches between Google Calendar and Airtable can cause scheduling conflicts so always normalize timestamps to UTC before storage.

## Reference implementation
https://n8n.io/workflows/10292 (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/automate-cv-screening-and-interview-scheduling/ via usecasesforagents.com