Skip to main content

Job brief analysis with OpenAI to find relevant templates and log in Google Sheets

Workflow preview

Workflow preview
100%
Job brief analysis with OpenAI to find relevant templates and log in Google Sheets preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Who’s it for Recruiters, freelancers, and ops teams who scan job briefs and want quick, relevant n8n template suggestions, saved in a Google Sheet for tracking. What it does Parses any job text, ex...

Best for

  • AI Summarization automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.splitout, n8n-nodes-base.splitinbatches, n8n-nodes-base.googlesheets

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Job brief analysis with OpenAI to find relevant templates and log in Google Sheets
Workflow name
Job brief analysis with OpenAI to find relevant templates and log in Google Sheets

Who’s it for

Recruiters, freelancers, and ops teams who scan job briefs and want quick, relevant n8n template suggestions, saved in a Google Sheet for tracking.

What it does

Parses any job text, extracts exactly 5 search keywords, queries the n8n template library, and appends the matched templates (ID, name, description, author) to Google Sheets, including the canonical template URL.

How it works

1. Trigger receives a message or paste-in job brief.
2. LLM agent returns 5 concise search terms (JSON).
3. For each keyword, an HTTP request searches the n8n templates API.
4. Results are split and written to Google Sheets; the workflow builds the public URL from ID+slug.

Set up

1. Add credentials for OpenAI (or swap the LLM node to your provider).
2. Create a Google Sheet with columns: Template ID, Name, User, Description, URL.
3. In the ⚙️ Config node, set: GOOGLE_SHEETS_DOC_ID, GOOGLE_SHEET_NAME, N8N_TEMPLATES_API_URL.

Requirements

• n8n (cloud or self-hosted)
• OpenAI (or alternative LLM) credentials
• Google Sheets OAuth credentials

Customize

• Change the model/system prompt to tailor keyword extraction.
• Swap Google Sheets for Airtable/Notion.
• Extend filters (e.g., only AI/CRM templates) before writing rows.

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 - When chat message received

Type / Role
@n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices
Version 1.3

Block 2 - AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.2

Block 3 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 4 - Parse Keywords

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

Block 5 - Search Templates

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 6 - Split Out

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

Block 7 - Loop Over Items

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

Block 8 - Converting to Array

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

Block 9 - Append row in sheet2

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

Block 10 - Get row(s) in sheet

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

Block 11 - Edit Fields

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

Block 12 - Update row in sheet

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

Block 13 - Sticky Note

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

Block 14 - Sticky Note1

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

3. Summary Table

Workflow Job brief analysis with OpenAI to find relevant templates and log in Google Sheets
Complexity intermediate
Nodes 14
Categories AI Summarization
Author Jeremiah Wright
Published 27 Sept 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/9019/9019.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 Job brief analysis with OpenAI to find relevant templates and log in Google Sheets do?

Who’s it for Recruiters, freelancers, and ops teams who scan job briefs and want quick, relevant n8n template suggestions, saved in a Google Sheet for tracking. What it does Parses any job text, ex...

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 AI Summarization use case.