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Screen job applicants with Groq llama-3.3-70b and send outcomes via Gmail

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Screen job applicants with Groq llama-3.3-70b and send outcomes via Gmail preview
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1. Workflow Overview

How it works This workflow automates candidate screening by receiving application data via a webhook and structuring it for AI evaluation. An AI agent analyzes the candidate profile and assigns a s...

Best for

  • HR automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.set, n8n-nodes-base.googlesheets, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgroq, n8n-nodes-base.code, n8n-nodes-base.switch

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Avkash Kakdiya.

Original n8n.io source

1.1 Workflow description

Title
Screen job applicants with Groq llama-3.3-70b and send outcomes via Gmail
Workflow name
Screen job applicants with Groq llama-3.3-70b and send outcomes via Gmail

How it works

This workflow automates candidate screening by receiving application data via a webhook and structuring it for AI evaluation. An AI agent analyzes the candidate profile and assigns a score with reasoning. The score is extracted and evaluated against a threshold to decide if the candidate is shortlisted or rejected. Based on the result, the workflow either stores the candidate in Google Sheets and sends a success email or sends a rejection email.

Step-by-step

  • Receive and structure application data

  • Webhook1 – Receives job and candidate data from external sources.

  • Edit Fields1 – Formats and organizes job and candidate information into structured fields.

  • Evaluate candidate with AI

  • AI Agent – Sends structured data to AI for scoring and evaluation.

  • Groq Chat Model1 – Provides the language model used for generating candidate score and reasoning.

  • Code in JavaScript – Extracts score and reason from AI response for further processing.

  • Filter, store and notify results

  • If – Checks if the candidate score meets the defined threshold.

  • Append row in sheet – Stores shortlisted candidate details in Google Sheets.

  • Send a message3 – Sends a shortlisted confirmation email to the candidate.

  • Send a message1 – Sends a rejection email if the candidate does not qualify.

Why use this?

  • Automates candidate screening and eliminates manual evaluation
  • Ensures consistent and unbiased scoring using AI
  • Instantly notifies candidates about their application status
  • Maintains a structured shortlist database in Google Sheets
  • Saves time for HR teams and improves hiring efficiency

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Receive Application via Webhook

Type / Role
n8n-nodes-base.webhook - webhook
Config choices
Version 2.1

Block 2 - Structure Job and Candidate Data

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 3 - Check for Duplicate Application

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 4 - Is Duplicate Application?

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.3

Block 5 - Score Candidate with AI

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 6 - Groq LLM (llama-3.3-70b)

Type / Role
@n8n/n8n-nodes-langchain.lmChatGroq - lmChatGroq
Config choices
Version 1

Block 7 - Parse Score, Reason, Strengths and Gaps

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 8 - Route by Score Band

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3

Block 9 - Log Shortlisted Candidate to Sheet

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 10 - Send Shortlist Congratulations Email

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.2

Block 11 - Notify HR Team on Slack

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.3

Block 12 - Log Moderate Candidate to Waitlist

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 13 - Send Waitlist Holding Email

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.2

Block 14 - Send Rejection Email

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.2

Block 15 - Overview - AI Job Screening Automator

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Section - Receive and Validate

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - Section - AI Evaluation and Scoring

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Section - Route, Notify and Log

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Screen job applicants with Groq llama-3.3-70b and send outcomes via Gmail
Complexity advanced
Nodes 18
Categories HR, AI Summarization
Author Avkash Kakdiya
Published 06 Apr 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/14772/14772.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Screen job applicants with Groq llama-3.3-70b and send outcomes via Gmail do?

How it works This workflow automates candidate screening by receiving application data via a webhook and structuring it for AI evaluation. An AI agent analyzes the candidate profile and assigns a s...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.