Learn JavaScript coding with an interactive RPG-style tutorial game
๐ฏ JavaScript Master Class - Interactive Code Tutorial
๐ How It Works
This tutorial is designed as a self-paced learning experience where you explore working JavaScript code examples. Unlike traditional tutorials, you learn by examining real implementations and understanding how they work.
๐ The Learning Method:
- Execute first - See the workflow in action
- Open each node - This is where the real learning happens!
- Study the code - Read JavaScript implementations and comments
- Understand the flow - See how data transforms between nodes
- Experiment - Modify code to test your understanding
๐ฎ The "Game" Concept:
- It's not a real game - it's a gamified learning experience
- Uses RPG elements (XP, levels, achievements) to make learning engaging
- Simulates progression through 3 difficulty levels
- Main learning happens when you open nodes and read the code!
๐ Setup Steps
Step 1: Import the Template
- Copy the JSON template provided
- Open your n8n instance
- Create a new workflow
- Press
Ctrl+A(orCmd+Aon Mac) to select all - Press
Ctrl+V(orCmd+V) to paste the JSON - Click "Save" and name it:
JavaScript Master Class - Interactive Tutorial
Step 2: Execute the Workflow
- Click "Test workflow" or "Execute workflow"
- Watch it run through all nodes automatically
- See the final results and progression simulation
Step 3: Start Learning (The Important Part!)
Now the real learning begins - you must open each node manually:
๐ For Each Code Node:
- Double-click the node to open it
- Read the JavaScript code carefully
- Study the comments - they explain key concepts
- Understand the logic - how input becomes output
- Note the techniques used in each challenge
๐ For Each Sticky Note:
- Read the explanations and context
- Understand the learning objectives
- Note the skills being taught
๐ฏ Learning Path
Level 1: Data Warrior (Beginner)
๐ Open Node: ๐ฒ Level 1: Data Warrior
- Focus: Data deduplication using
filter()andfindIndex() - Key Skills: Array methods, duplicate detection
- What to Study: How the deduplication algorithm works
Level 2: API Ninja (Intermediate)
๐ Open Node: โ๏ธ Level 2: API Ninja
- Focus: Data transformation and validation
- Key Skills: String manipulation, validation logic, error handling
- What to Study: How to clean and validate messy API data
Level 3: Automation Master (Advanced)
๐ Open Node: ๐ Final Boss: Automation Master
- Focus: Complex workflow processing
- Key Skills: Task orchestration, priority sorting, error handling
- What to Study: How to build robust automation systems
๐ก Learning Tips
๐ Active Exploration:
- Don't just run it - open every single node!
- Read all comments - they contain key insights
- Compare approaches - see how complexity increases
- Try modifications - change values and see what happens
๐ Study Techniques:
- Take notes on patterns you see
- Copy interesting code snippets for reference
- Try to explain each function to yourself
- Test your understanding by modifying the code
๐งช Experimentation:
- Change filter conditions in Level 1
- Modify validation rules in Level 2
- Adjust workflow logic in Level 3
- Break something and fix it - great for learning!
โ ๏ธ Important Notes
๐ฎ "Game" Reality Check:
- This is NOT an interactive game where you make choices
- It's a code tutorial with game-like progression themes
- The "game" runs automatically when executed
- Real learning happens when you manually open and study each node
๐ Educational Value:
- Primary learning: Understanding JavaScript implementations
- Secondary learning: n8n workflow patterns
- Bonus learning: Problem-solving approaches
๐ง Technical Requirements:
- Working n8n instance
- Basic JavaScript knowledge helpful but not required
- Willingness to explore and experiment
๐ฏ Success Metrics
You'll know you're learning when you can:
- โ Explain how each deduplication algorithm works
- โ Identify the validation patterns used
- โ Understand the workflow orchestration logic
- โ Modify the code to handle different scenarios
- โ Apply these patterns to your own projects
๐ค Next Steps
After completing this tutorial:
- Apply the patterns to your own workflows
- Experiment with variations
- Build something using these techniques
- Share your learnings with the community
Remember: The magic happens when you open each node and study the code! ๐
n8n Starter Workflow: Code Snippet Execution
This n8n workflow provides a basic template for executing custom JavaScript code snippets within your n8n environment. It's designed for developers and users who need to quickly test or run small code blocks without integrating with external services.
What it does
This workflow is extremely simple and serves as a foundational template:
- Manual Trigger: The workflow starts when you manually click the "Execute workflow" button in the n8n UI.
- Code Execution: It then proceeds to a "Code" node, where you can write and execute arbitrary JavaScript code. The output of this code will be displayed in the n8n execution results.
- Sticky Note: A "Sticky Note" is included for adding comments or documentation directly within the workflow canvas, useful for explaining the purpose of the code or any specific instructions.
Prerequisites/Requirements
- An n8n instance (cloud or self-hosted).
- Basic understanding of JavaScript for writing code in the "Code" node.
Setup/Usage
- Import the workflow:
- Copy the provided JSON content.
- In your n8n instance, go to "Workflows".
- Click "New" -> "Import from JSON".
- Paste the JSON and click "Import".
- Configure the Code Node:
- Double-click the "Code" node.
- Replace the default JavaScript code with your desired snippet. For example, you could add
return [{ json: { message: 'Hello from n8n!' } }];to see a custom output.
- Execute the workflow:
- Click the "Execute Workflow" button in the top right corner of the n8n editor.
- Observe the output in the "Executions" panel.
- Use the Sticky Note:
- Double-click the "Sticky Note" node to add any relevant comments, explanations, or reminders about the code or the workflow's purpose.
Related Templates
Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets
This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitorโs webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger โ Manually start the workflow or schedule it to run periodically. Input Setup โ Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) โ Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring โ Clean and convert GPT output into JSON format. Data Storage (Google Sheets) โ Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the โSet Input Fieldsโ node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors โ Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection โ Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report โ Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization โ Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs โ Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting Itโs a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.
Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax
Spark your creativity instantly in any chatโturn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. ๐ What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing ๐ง Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation ๐ Required Credentials OpenAI API Setup Go to platform.openai.com โ API keys (sidebar) Click "Create new secret key" โ Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai โ Dashboard โ API Keys Generate a new API key โ Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) โ๏ธ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflowโchat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" ๐ฏ Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration โ ๏ธ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions
Automate invoice processing with OCR, GPT-4 & Salesforce opportunity creation
PDF Invoice Extractor (AI) End-to-end pipeline: Watch Drive โ Download PDF โ OCR text โ AI normalize to JSON โ Upsert Buyer (Account) โ Create Opportunity โ Map Products โ Create OLI via Composite API โ Archive to OneDrive. --- Node by node (what it does & key setup) 1) Google Drive Trigger Purpose: Fire when a new file appears in a specific Google Drive folder. Key settings: Event: fileCreated Folder ID: google drive folder id Polling: everyMinute Creds: googleDriveOAuth2Api Output: Metadata { id, name, ... } for the new file. --- 2) Download File From Google Purpose: Get the file binary for processing and archiving. Key settings: Operation: download File ID: ={{ $json.id }} Creds: googleDriveOAuth2Api Output: Binary (default key: data) and original metadata. --- 3) Extract from File Purpose: Extract text from PDF (OCR as needed) for AI parsing. Key settings: Operation: pdf OCR: enable for scanned PDFs (in options) Output: JSON with OCR text at {{ $json.text }}. --- 4) Message a model (AI JSON Extractor) Purpose: Convert OCR text into strict normalized JSON array (invoice schema). Key settings: Node: @n8n/n8n-nodes-langchain.openAi Model: gpt-4.1 (or gpt-4.1-mini) Message role: system (the strict prompt; references {{ $json.text }}) jsonOutput: true Creds: openAiApi Output (per item): $.message.content โ the parsed JSON (ensure itโs an array). --- 5) Create or update an account (Salesforce) Purpose: Upsert Buyer as Account using an external ID. Key settings: Resource: account Operation: upsert External Id Field: taxid_c External Id Value: ={{ $json.message.content.buyer.tax_id }} Name: ={{ $json.message.content.buyer.name }} Creds: salesforceOAuth2Api Output: Account record (captures Id) for downstream Opportunity. --- 6) Create an opportunity (Salesforce) Purpose: Create Opportunity linked to the Buyer (Account). Key settings: Resource: opportunity Name: ={{ $('Message a model').item.json.message.content.invoice.code }} Close Date: ={{ $('Message a model').item.json.message.content.invoice.issue_date }} Stage: Closed Won Amount: ={{ $('Message a model').item.json.message.content.summary.grand_total }} AccountId: ={{ $json.id }} (from Upsert Account output) Creds: salesforceOAuth2Api Output: Opportunity Id for OLI creation. --- 7) Build SOQL (Code / JS) Purpose: Collect unique product codes from AI JSON and build a SOQL query for PricebookEntry by Pricebook2Id. Key settings: pricebook2Id (hardcoded in script): e.g., 01sxxxxxxxxxxxxxxx Source lines: $('Message a model').first().json.message.content.products Output: { soql, codes } --- 8) Query PricebookEntries (Salesforce) Purpose: Fetch PricebookEntry.Id for each Product2.ProductCode. Key settings: Resource: search Query: ={{ $json.soql }} Creds: salesforceOAuth2Api Output: Items with Id, Product2.ProductCode (used for mapping). --- 9) Code in JavaScript (Build OLI payloads) Purpose: Join lines with PBE results and Opportunity Id โ build OpportunityLineItem payloads. Inputs: OpportunityId: ={{ $('Create an opportunity').first().json.id }} Lines: ={{ $('Message a model').first().json.message.content.products }} PBE rows: from previous node items Output: { body: { allOrNone:false, records:[{ OpportunityLineItem... }] } } Notes: Converts discount_total โ per-unit if needed (currently commented for standard pricing). Throws on missing PBE mapping or empty lines. --- 10) Create Opportunity Line Items (HTTP Request) Purpose: Bulk create OLIs via Salesforce Composite API. Key settings: Method: POST URL: https://<your-instance>.my.salesforce.com/services/data/v65.0/composite/sobjects Auth: salesforceOAuth2Api (predefined credential) Body (JSON): ={{ $json.body }} Output: Composite API results (per-record statuses). --- 11) Update File to One Drive Purpose: Archive the original PDF in OneDrive. Key settings: Operation: upload File Name: ={{ $json.name }} Parent Folder ID: onedrive folder id Binary Data: true (from the Download node) Creds: microsoftOneDriveOAuth2Api Output: Uploaded file metadata. --- Data flow (wiring) Google Drive Trigger โ Download File From Google Download File From Google โ Extract from File โ Update File to One Drive Extract from File โ Message a model Message a model โ Create or update an account Create or update an account โ Create an opportunity Create an opportunity โ Build SOQL Build SOQL โ Query PricebookEntries Query PricebookEntries โ Code in JavaScript Code in JavaScript โ Create Opportunity Line Items --- Quick setup checklist ๐ Credentials: Connect Google Drive, OneDrive, Salesforce, OpenAI. ๐ IDs: Drive Folder ID (watch) OneDrive Parent Folder ID (archive) Salesforce Pricebook2Id (in the JS SOQL builder) ๐ง AI Prompt: Use the strict system prompt; jsonOutput = true. ๐งพ Field mappings: Buyer tax id/name โ Account upsert fields Invoice code/date/amount โ Opportunity fields Product name must equal your Product2.ProductCode in SF. โ Test: Drop a sample PDF โ verify: AI returns array JSON only Account/Opportunity created OLI records created PDF archived to OneDrive --- Notes & best practices If PDFs are scans, enable OCR in Extract from File. If AI returns non-JSON, keep โReturn only a JSON arrayโ as the last line of the prompt and keep jsonOutput enabled. Consider adding validation on parsing.warnings to gate Salesforce writes. For discounts/taxes in OLI: Standard OLI fields donโt support per-line discount amounts directly; model them in UnitPrice or custom fields. Replace the Composite API URL with your orgโs domain or use the Salesforce nodeโs Bulk Upsert for simplicity.