Block 1 - Candidate Application Form
- Type / Role
- n8n-nodes-base.formTrigger - formTrigger
- Config choices
- Version 2.5
How It Works This workflow automates end to end candidate evaluation for HR teams and recruiters overwhelmed by high volume hiring. Designed for talent acquisition professionals, hiring managers, a...
n8n-nodes-base.formtrigger, n8n-nodes-base.set, n8n-nodes-base.extractfromfile, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.agenttool, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.gmailtool
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io sourceThis workflow automates end-to-end candidate evaluation for HR teams and recruiters overwhelmed by high-volume hiring. Designed for talent acquisition professionals, hiring managers, and HR operations, it solves the challenge of manually screening resumes, validating qualifications, and coordinating interview feedback across multiple stakeholders. The system triggers on new applications, extracts CV content, prepares structured candidate data, and deploys specialized AI agents for comprehensive evaluation: Signal Agent validates credentials, CV Verification Agent confirms qualifications, Trust Assessment Agent evaluates cultural fit, and Experience Agent analyzes career trajectory. The Orchestrator Agent synthesizes insights, checks validation results, and routes decisions—sending approval emails for qualified candidates, rejection notices for mismatches, and logging all outcomes to Google Calendar and Sheets. By automating screening with multi-dimensional AI analysis, organizations reduce time-to-hire by 70%, eliminate bias, ensure consistent evaluation criteria, and free recruiters to focus on relationship-building with top talent.
ATS integration or career portal webhook access, OpenAI API account
High-volume recruitment screening, technical role qualification validation
Modify agent prompts for role-specific criteria, adjust scoring thresholds for pass/fail decisions
Reduces screening time by 70%, eliminates unconscious bias through standardized evaluation
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 30 workflow blocks. Download the JSON for the full node graph.
| Workflow | Screen and score job candidates with GPT-4o, Gmail and Google Calendar |
|---|---|
| Complexity | advanced |
| Nodes | 30 |
| Categories | HR, AI Summarization |
| Author | Cheng Siong Chin |
| Published | 12 Feb 2026 |
Use the JSON export at /data/workflows/13321/13321.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
How It Works This workflow automates end to end candidate evaluation for HR teams and recruiters overwhelmed by high volume hiring. Designed for talent acquisition professionals, hiring managers, a...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your HR, AI Summarization use case.