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Automate agile project setup with GPT-5 Mini, Jira & form interface

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Automate agile project setup with GPT-5 Mini, Jira & form interface 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 is this for? This workflow is perfect for: Agile development teams and project managers who need to quickly set up Jira projects Product managers who want to convert feature ideas into structur...

Best for

  • Project Management automation workflows
  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.formtrigger, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.splitinbatches, n8n-nodes-base.splitout, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.chainllm

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Automate agile project setup with GPT-5 Mini, Jira & form interface
Workflow name
Automate agile project setup with GPT-5 Mini, Jira & form interface

Who is this for?

This workflow is perfect for:

  • Agile development teams and project managers who need to quickly set up Jira projects
  • Product managers who want to convert feature ideas into structured user stories and tasks
  • Software development agencies that need to rapidly create detailed project structures for clients
  • Scrum masters seeking to automate the initial project setup and backlog creation process

What problem is this workflow solving?

Creating comprehensive Jira projects with detailed user stories and sub-tasks is time-consuming and often inconsistent. This workflow solves those issues by:

  • Automating project creation from basic feature descriptions to fully structured Jira projects
  • Generating professional user stories following Agile best practices with proper "As a [user], I want to [goal], so that [benefit]" formatting
  • Creating detailed sub-tasks covering design, development, testing, and documentation phases

What this workflow does

This workflow transforms raw project ideas into fully structured Jira projects with comprehensive user stories and sub-tasks using AI-powered analysis and automated Jira integration.

Step by step:

  1. Form Trigger collects project name and feature descriptions through a web form
  2. Project Naming uses GPT-4.1 mini to clean and professionalize the project name while generating a unique project key
  3. Create Project establishes a new Jira project with proper software development template and configuration
  4. Get Status ID retrieves project details and available issue types for story creation
  5. Jira Story Generator analyzes project features using AI to create structured user stories with sub-tasks
  6. Create Story generates individual Jira stories with proper titles and descriptions
  7. Execute Sub-task Workflow automatically creates all associated sub-tasks for each story
  8. Gmail Notification sends completion confirmation with project details and direct links

How to set up

  1. Connect your Jira account by adding your Jira Software Cloud API credentials to all Jira-related nodes
  2. Update Jira URL in the "Set Jira URL" node to match your Jira instance (e.g., https://yourcompany.atlassian.net)
  3. Add OpenAI API key to the OpenAI Chat Model node for AI-powered story generation
  4. Configure Gmail credentials for the notification node and update the recipient email address
  5. Update project lead in the Create Project node by replacing the leadAccountId with your user ID
  6. Test the workflow using the manual trigger with sample project data
  7. Customize story templates in the Structured Output Parser if you need different story formats
  8. Set up the sub-workflow by ensuring the Execute Workflow node points to the correct workflow ID

How to customize this workflow to your needs

  • Adjust story generation prompts: modify the AI prompts in the "Jira Story Generator" to match your team's specific story writing style or include additional fields
  • Include estimation: add story point estimation logic or time tracking fields to generated stories
  • Switch AI models: replace the OpenAI Chat Model node with other AI providers like Google Gemini, Claude, or local models by using the appropriate n8n AI nodes for different cost and performance requirements

Need help customizing?

Contact me for consulting and support:
📧 [email protected]

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 clicking ‘Test workflow’

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

Block 2 - On form submission

Type / Role
n8n-nodes-base.formTrigger - formTrigger
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 - Structured Output Parser

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

Block 5 - Loop Over Items

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

Block 6 - Split Out

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

Block 7 - Create Project

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

Block 8 - Structured Output Parser1

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

Block 9 - Project Naming

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.6

Block 10 - Check Project Key & Get Status ID

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

Block 11 - Get Status ID

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

Block 12 - Split Out1

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

Block 13 - Create Story

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

Block 14 - Merge

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.1

Block 15 - Limit

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

Block 16 - Aggregate

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

Block 17 - Filter

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

Block 18 - Filter1

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

Block 19 - Split Out4

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

Block 20 - Limit2

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

Block 21 - Limit3

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

Block 22 - Jira Story Status ID

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

Block 23 - Jira Sub-task Status ID

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

Block 24 - Jira Issue ID

Type / Role
n8n-nodes-base.merge - merge
Config choices
Version 3.1

Showing the first 24 of 42 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Automate agile project setup with GPT-5 Mini, Jira & form interface
Complexity advanced
Nodes 42
Categories Project Management, AI Chatbot
Author Billy Christi
Published 01 Sept 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/8101/8101.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 Automate agile project setup with GPT-5 Mini, Jira & form interface do?

Who is this for? This workflow is perfect for: Agile development teams and project managers who need to quickly set up Jira projects Product managers who want to convert feature ideas into structur...

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 Project Management, AI Chatbot use case.