You are helping me build the following AI agent workflow.

## Goal
University Admission Workflow: New admission form submission? The agent verifies the email, generates a branded PDF letter.

## Specification
- What it does: You instantly receive a branded admission letter when students submit their forms, while the system automatically blocks spam by verifying email addresses in real time. If an entry is invalid, you get an alert instead of wasting resources on unnecessary documents.
- Trigger: Triggered by an event (Event · on new admission submission)
- Autonomy: Fully hands-off
- Expected setup effort: under an hour
- Tools/services involved:
  - n8n: Workflow orchestration platform
  - VerifiEmail API: Real-time email validation and fraud prevention
  - PDFMunk API: Generating branded admission PDF letters
  - Gmail: Sending personalized welcome and alert emails

## Known pitfalls, handle each one explicitly in your implementation
1. PDFMunk may fail if HTML contains unsupported CSS properties, so keep styles inline and simple before rendering.
2. Large PDF attachments might exceed Gmail's size limit for single emails, so compress the generated PDF or use Google Drive links if files are too big.

## Reference implementation
https://n8n.io/workflows/9504 (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-university-admission-workflow/ via usecasesforagents.com