This workflow automates the creation of personalized LinkedIn icebreaker messages for HR professionals and recruiters. It reads data from a Google Sheets spreadsheet containing recruiter information (name, company, role, email). The workflow processes each row individually using a batch processing loop. For each recruiter, it cleans the company name by removing common suffixes (Ltd., Inc., etc.) and then uses an AI Agent to generate a personalized icebreaker message. The AI is instructed to research the company online and create an engaging, professional message that references specific company details, expresses interest in IT/software opportunities, and ends with "Figured I'd reach out." The generated messages are written back to the spreadsheet, updating each row with its corresponding icebreaker.
Key Components:
- Google Sheets integration for data management
- Batch processing with loop functionality
- Company name normalization
- AI-powered message generation with web research capability
- Structured output parsing
- Spreadsheet update functionality
Use Cases:
- Job search automation
- Professional networking at scale
- Recruitment outreach campaigns
- Business development messaging
- Sales prospecting
- Conference attendee outreach
- Alumni networking initiatives