You are helping me build the following AI agent workflow.

## Goal
Webinar Feedback Response Agent: Captures webinar feedback via webhook, analyzes sentiment with AI.

## Specification
- What it does: You automatically collect webinar feedback and receive personalized thank-you emails based on the attendee's sentiment. The system logs every interaction in your Google Sheets so you can track responses without manual effort.
- Trigger: Triggered by an event (Event · on new feedback submission)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - OpenAI: Analyze sentiment and generate response text
  - Gmail: Send personalized thank you emails
  - Google Sheets: Store feedback data and log outcomes
  - Code: Normalize input and build HTML email

## Known pitfalls, handle each one explicitly in your implementation
1. Webhook payloads may contain special characters or HTML entities in comments which can break email formatting if not properly escaped before constructing the HTML body.
2. Google Sheets API quotas are strict for bulk operations, so batch insert rows using the sheets.batchUpdate method instead of appending one by one in a loop.

## Reference implementation
https://n8n.io/workflows/11889 (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-webinar-feedback-response-agent/ via usecasesforagents.com