💬 Draft evidence-based professor outreach emails with GPT-4.1 and Gmail
⚡ 0 views · 💬 Lead Nurturing & AI Sales Agents
Description
Quick overview
This workflow collects a student’s details plus CV and motivation letter PDFs, extracts evidence from an official professor profile page, and uses OpenAI to generate and quality-check a personalized outreach email, then creates an unsent Gmail draft with both documents attached.
How it works
- Receives a submission from an n8n Form with the student’s details, a professor profile URL, and Google Drive links for a CV and motivation letter.
- Validates and normalizes the inputs, downloads both PDFs from Google Drive, and extracts their text content.
- Uses OpenAI to build an evidence-based student research profile from the CV and motivation letter, then stops if required fields are missing.
- Fetches the professor’s profile page via HTTP, strips scripts/styles from the HTML, and uses OpenAI to extract structured professor details and research evidence.
- Uses OpenAI to compare professor and student evidence, producing a 0–10 research-fit score and the strongest documented connections.
- Uses OpenAI to write a personalized outreach email (subject and body) and runs a second OpenAI validation pass to flag hallucinations or weak personalization.
- If the email is approved and the professor email address is valid, creates an unsent Gmail draft addressed to the professor with the CV and motivation letter attached.
Setup
- Connect credentials for OpenAI, Google Drive (with access to the PDFs), and Gmail (where the draft is created).
- Ensure the professor profile URL is publicly accessible as HTML (not JavaScript-only) and contains a name plus research evidence, or the workflow stops.
- Submit the form with valid Google Drive file links for the CV and motivation letter PDFs and confirm the extracted professor email and attachments in the created Gmail draft.
Requirements
- n8n, OpenAI API access, Google Drive and Gmail credentials, readable CV and motivation letter PDFs, and a public professor profile URL.
Customization
- Customize form branding, AI models, research-fit criteria, email tone, length, subject and supervision request.
Additional info
Turn your academic background into a personalized professor email built around documented research connections. Students and consultants can prepare a quality-checked Gmail draft with both PDFs attached, ready for human review. Adapt the prompts and schemas to reuse this approach for expert or professional outreach.
🔗 Nodes Used
HTTP Request, Google Drive, Gmail, Stop and Error, AI Agent, Basic LLM Chain
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File