Summary
Summary This workflow automates the early-stage job application process using AI. It: accepts a job link from Telegram extracts and normalizes the URL scrapes the job page evaluates job fit against resume context stored in Pinecone asks for user approval if the role is a good match generates application materials like: cover letter recruiter email draft resume improvement suggestions logs the application in Google Sheets creates supporting files in Google Drive sends status updates back on Telegram Why this is useful This helps reduce the manual effort involved in checking roles, deciding whether to apply, and preparing customized application material. Stack used n8n Telegram OpenAI Pinecone Apify Google Sheets Google Drive Gmail Workflow overview User sends a job link on Telegram AI extracts and validates the link Job page is scraped and normalized Resume context is retrieved from Pinecone AI calculates fit score If fit is low, user gets a rejection message If fit is good, user is asked for approval On approval, the workflow generates application assets A tracker entry is added and the user gets a final update Notes Resume data is retrieved from a vector database Application materials are generated only after approval The workflow is designed to be modular and can be extended with auto-apply, ATS scoring, or multi-channel alerts later. An n8n automation workflow template by Harsh Goyal.
Harsh Goyal
web
free
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