Library / AI Agents & Assistants
AI Agents & Assistants
Screen Resumes Against a Profile with OpenAI
When a form is submitted, it extracts resume text, summarizes qualifications with OpenAI, compares them with the wanted profile and logs to Sheets.
What it does
# HR-focused automation pipeline with AI ## Overview Automated workflow: HR-focused automation pipeline with AI. This workflow integrates 13 different services: stickyNote, formTrigger, chainLlm, merge, outputParserStructured. It contains 22 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 22 - Node Types: 13 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - On form submission: formTrigger - Extract from File: extractFromFile - Qualifications: informationExtractor - Summarization Chain: chainSummarization - Merge: merge - Profile Wanted: set - Google Sheets: googleSheets - Structured Output Parser: outputParserStructured - HR Expert: chainLlm - Personal Data: informationExtractor - ... and 12 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible
The steps
- On form submission
- Extract from File
- Qualifications
- Summarization Chain
- Merge
- Profile Wanted
- Google Sheets
- Structured Output Parser
- HR Expert
- Personal Data
- Upload CV
- OpenAI
- Error Handler for 77edfe2a
- Error Handler for 4a120e5d
17 steps in total.
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