You are helping me build the following AI agent workflow.

## Goal
Job Application Processing: Upload a CV to auto-extract details via AI and pre-fill the application form for quick review.

## Specification
- What it does: Upload your CV to instantly extract key details and auto-fill the job application form for your quick review. The system validates your resume using AI, pulls relevant information based on the job post into Airtable, and generates a pre-filled draft ready for you to submit.
- Trigger: Triggered by an event (Manual · on new form submission)
- Autonomy: You stay in control
- Expected setup effort: about an afternoon
- Tools/services involved:
  - n8n Forms: Collecting CV uploads and application data
  - Text Classifier: Validating PDF files as valid CVs
  - OpenAI Chat Model: Extracting relevant information from CVs
  - Airtable: Storing applicant data and PDF attachments

## Known pitfalls, handle each one explicitly in your implementation
1. Large PDF files can exceed token limits so convert documents to plain text before sending them to the model.
2. Sensitive personal data is exposed in logs so ensure you mask PII fields in your n8n workflow settings.

## Reference implementation
https://n8n.io/workflows/2579 (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-job-application-processing/ via usecasesforagents.com