Workflow Templates

How it works This workflow automatically collects the latest news articles from both English and Japanese sources using NewsAPI, summarizes them with OpenAI, and appends the results into a Google Sheet. The summaries are concise (about 50 characters) in Japanese, making it easy to review news highlights at a glance. Set up steps Create a Google Sheet with two tabs: 01_Input (columns: Keyword, SearchRequired) 02_Output (columns: Date, Keyword, Summary, URL) Enter your own Google Sheet ID and tab names in the workflow. Add your NewsAPI key in the HTTP Request nodes. Connect your OpenAI account (or deactivate the summarization node if not needed). Run the workflow manually or use the daily schedule trigger at 13:00. This template is ready to use with minimal changes. Sticky notes inside the workflow provide extra guidance.

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 Trigger receives a message or paste-in job brief. LLM agent returns 5 concise search terms (JSON). For each keyword, an HTTP request searches the n8n templates API. Results are split and written to Google Sheets; the workflow builds the public URL from ID+slug. Set up Add credentials for OpenAI (or swap the LLM node to your provider). Create a Google Sheet with columns: Template ID, Name, User, Description, URL. 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.

This workflow implements cutting-edge concepts from Google DeepMind's OPRO (Optimization by PROmpting) and Stanford's DSPy to automatically refine AI prompts. It iteratively generates, evaluates, and optimizes responses against a ground truth, allowing you to "compile" your prompts for maximum accuracy. Why this is powerful Instead of manually tweaking prompts (trial and error), this workflow treats prompt engineering as an optimization problem: OPRO-style Optimization**: The "Optimizer" LLM analyzes past performance scores and reasons to mathematically deduce a better prompt. DSPy-style Logic**: It separates the "Logic" (Workflow) from the "Parameters" (Prompts), allowing the system to self-correct until it matches the Ground Truth. How it works Define**: Set your initial prompt and a test case with the expected answer (Ground Truth). Generate**: The workflow generates a response using the current prompt. Evaluate**: An AI Evaluator scores the response (0-100) based on accuracy and format. Optimize**: If the score is low, the Optimizer AI analyzes the failure and rewrites the prompt. Loop**: The process repeats until the score reaches 95/100 or the loop limit is hit. Setup steps Configure OpenAI: Ensure you have an OpenAI credential set up in the OpenAI Chat Model node. Customize: Open the Define Initial Prompt & Test Data node and set your initial_prompt, test_input, and ground_truth. Run: Execute the workflow and check the Manage Loop & State node output for the optimized prompt.

How it works This workflow automatically syncs new Productboard features into Linear as issues and notifies the team via Telegram. It starts on a schedule, fetches Productboard features through API requests, and transforms the raw data into clean, structured fields. Newly created features are filtered, then inserted into Linear, and a success message is sent to Telegram for confirmation. Step-by-step 1. Trigger and fetch data Schedule Trigger** – Starts the workflow at predefined intervals. HTTP Request to Productboard** – Pulls the latest features from the Productboard API. 2. Transform and clean data Code (Transform Features)** – Strips HTML, formats dates, and extracts clean fields like name, description, status, owner, and link. 3. Filter for new items If (Filter New Features)** – Compares createdAt with today’s date, allowing only new features to proceed. 4. Create issues in Linear Create Linear Issue** – Opens a new Linear issue using the feature’s name and description. 5. Notify via Telegram Success Notification (Telegram)** – Sends a confirmation message once the sync is successful. Why use this? Automates the sync of Productboard features into Linear without manual copying. Ensures only new features are captured, preventing duplicates. Keeps your team updated instantly through Telegram notifications. Saves time by standardizing data and formatting before inserting into Linear. Creates a smooth handoff from product planning to engineering execution.

Why You Need This Right Now 💡 Stop the panic attacks. We've all been there - accidentally deleted a workflow that took hours to build, or worse, corrupted your entire automation setup. This workflow is your safety net. Save your weekends. Instead of spending hours recreating lost work, get back to what matters. One setup protects everything, automatically. Sleep better at night. Your workflows are safely stored in two places with full version history. If something breaks, you're back online in minutes, not days. Perfect For These Situations ⚡ ✅ Business owners running critical automations ✅ Agencies managing client workflows ✅ Teams who need audit trails ✅ Anyone who values their time and sanity How It Actually Works 🔧 Think of it like having a personal assistant who: Checks your workflows twice daily (you can change this) Creates organized backups with timestamps Stores them safely in Google Drive AND GitHub Tells you it's done via Telegram or Discord Keeps everything tidy with smart folder organization The result? A timestamped folder in your Google Drive and organized files in your GitHub repo. Everything is searchable, restorable, and audit-ready. Quick 5-Minute Setup 🚀 Import this workflow to your n8n Connect your accounts (Google Drive, GitHub, optional notifications) Set your preferences (which folder, which repo, how often) Test it once to make sure everything works Relax knowing your workflows are protected What You'll Need 📋 Your n8n instance (obviously!) Google Drive account (free works fine) GitHub account (free works too) 5 minutes of setup time Optional: Telegram or Discord for notifications Pro Tips for Power Users 🧠 Want to level up? Here are some ideas: Add encryption** for sensitive workflows Create restore workflows** for one-click recovery Set up pull requests** for team review of changes Customize schedules** based on your workflow update frequency Created by: khaisa Studio - Automation experts who actually use this stuff daily Tags: backup, automation, n8n, google-drive, github, workflow-protection, business-continuity Questions? Get in touch - I'm always happy to help fellow automation enthusiasts! Remember: The best backup is the one you set up before you need it. Your future self will thank you!

This workflow uses Tally.so to collect client input that you input yourself during the meeting or after from a simple form and send that data to n8n via an API webhook. Once received, n8n processes the information and uses OpenAI to expand on the provided details transforming the short client notes into a complete, well-structured proposal. After generating the proposal, the workflow automatically: Drafts a professional follow-up email using the generated proposal details. Prepares the email inside Gmail, ready for your review and final send. This creates a fast, automated process turning raw meeting notes into a polished, client-ready deliverable within minutes.

This workflow converts emailed timesheets into structured invoice rows in Google Sheets and stores them in the correct Google Drive folder structure. It: Listens to Gmail for timesheet attachments Runs OCR and AI parsing Looks up Customer and PO data from a Google Sheet Organizes files in Client → Employee → Year folders Reuses an existing invoice sheet or creates a new one and writes the invoice row Quick Implementation Steps Import the workflow JSON into your n8n instance. Set up credentials for: Gmail Google Drive Google Sheets OpenAI Check the OCR HTTP node: Default URL: https://universal-file-to-text-extractor.vercel.app/extract Configure "Get Customer Info From PO Sheet" with: Spreadsheet ID Correct sheet and column names Confirm Gmail Trigger filter: has:attachment (filename:timesheet OR subject:timesheet) and unread only Ensure your Client Invoices root folder exists in Google Drive. Test once with a sample timesheet email. Activate the workflow. What It Does Reads unread Gmail messages with timesheet attachments. Splits and processes each attachment separately. Sends files to OCR and converts them to text. Uses OpenAI to extract: Employee Name Client Name Week Start and End Dates Total Billable Hours Current Year Looks up Customer and PO data from a Google Sheet: Account Number PO Number Item Name Folder Name Invoice range Due Date offset Builds or finds: Client folder Employee folder Year folder Either: Appends to an existing sheet for that employee and period, or Creates a new sheet, sets timezone, moves it into the right folder, and adds the invoice row Who Is It For Agencies and consultancies billing from emailed timesheets Finance or ops teams managing many clients and employees in Google Workspace Service providers that keep one sheet per employee per period Anyone who wants to stop manually reading timesheets and filling invoice sheets Requirements n8n instance Gmail account with timesheet emails Google Drive and Google Sheets OpenAI API key OCR API endpoint (or the default one) Customer POs Google Sheet with: Email Customer Account Number PO Number Item Folder Name Invoice range Due Date Calculation How It Works 1. Email Intake and Loop Gmail Trigger Polls every minute Filter: unread + has attachment + timesheet in file name or subject Split Binary Attachments Creates one item per attachment Loop: Process Each Attachment Handles each timesheet file in sequence 2. OCR and AI Parsing Extract Text from Attachment Sends binary file to OCR endpoint Returns plain text Extract Timesheet Data (OpenAI) Reads the text and outputs strict JSON with: Employee Name Client Name Week Starting Date Week Ending Date Total Working Hours Set Timesheet JSON Fields Normalizes and stores: Employee Name Total Billable hours Week Start Date and Week End Date Client Name Current Year 3. Customer and PO Lookup Get Customer Info From PO Sheet Looks up sender email Pulls: Customer Account Number PO Number Item Folder Name Invoice range Due Date Calculation 4. Drive Folder Discovery Search: Client Invoices Folder Finds the main invoices root folder Search or create: Client folder using Client Name Employee folder using Folder Name from PO sheet Search: Year Folder Looks for folder matching Current Year If Year Folder does not exist: Create Year Folder or Create Current Year Folder Set: Invoice Range Stores invoice range and Year Folder id 5. File Naming and Sheet Search Set: File Name from Start and End Based Date Range Builds: File Name (Start Date Based) File Name (End Date Based) Handles weekly and 15 days invoice logic Search: File By Start Date Name Search: File By End Date Name Merge: Combine Folder Search Results Merges both search results If: Invoice Range is 15 Days Uses custom 2 week window for file naming Set Invoice Date and Due Date Days Invoice Date from week end Due Date from week end plus offset 6. Reuse vs Create Sheet If: File Already Exists If found Go to Append: Final Row to Existing Sheet If not found Go to Sheets: Create Sheet New Sheet Path Sheets: Create Sheet Creates new spreadsheet with generated name HTTP Request (create sheet) Sets spreadsheet timezone to America/New_York Drive: Move Sheet To Final Folder Moves spreadsheet into the Year Folder Set: Empty Row Structure Prepares JSON structure for invoice row Sheets: Append Row1 Writes the first invoice row Set: Spreadsheet (ID and Name) Stores id and name Append: Final Row to Existing Sheet Ensures row is appended with full mapping Existing Sheet Path Set: Spreadsheet (ID and Name) Uses found spreadsheet Append: Final Row to Existing Sheet Appends new row with: Customer Account Number Invoice Date Due Date PO Number Item and columns Total billable hours as Quantity Description with week period How To Set Up 1. Import and Credentials Import JSON in n8n Set credentials for: Gmail Trigger Google Drive nodes Google Sheets nodes OpenAI node OCR HTTP node if needed 2. Customer POs Sheet In Get Customer Info From PO Sheet: Set Spreadsheet ID Confirm column names Make sure each employee email row has: Customer Account Number PO Number Item Folder Name Invoice range Due Date Calculation 3. Drive and Gmail Confirm Client Invoices root folder exists Confirm Gmail Trigger: Query string Poll schedule 4. Test Send a sample timesheet email Run the workflow once manually Check: Folder structure Created or reused sheet Invoice row content 5. Activate Turn workflow ON once tests are successful. How To Customize Swap the OpenAI model in Extract Timesheet Data. Change prompt to extract extra fields such as project, cost center, or approval status. Replace OCR endpoint with another service if needed. Change folder naming rules in Set and Create folder nodes. Adjust file naming rules for different billing periods. Add validation steps to handle: Missing name Zero hours Invalid dates Extend the PO sheet and invoice sheet with: Hourly rate Currency Tax codes Use Case Examples Weekly consulting invoices from signed timesheets. Contractor billing for staffing agencies. Internal cross charging between departments using timesheet reports. Creating a clean, auditable history of timesheets and related invoice lines. Troubleshooting Guide | Issue | Possible Solution | |-------|-------------------| | No rows are created | Check Gmail Trigger is active and the filter matches the email. Confirm email is unread and has attachments. | | OCR returns empty or error | Check OCR URL, status code, and supported file types. Log the response body. | | Wrong or missing dates or hours | Review OpenAI prompt and a sample output. Ensure JSON keys in Set Timesheet JSON Fields match the AI output. | | Folders not found or created | Confirm the Client Invoices root exists and that Client Name and Folder Name text matches what the workflow expects. | | Files in wrong year folder | Check Current Year extraction and Year Folder search logic. | | Duplicate sheets for same period | Check file naming code and Drive search nodes for exact match on names. | | Due Date incorrect | Confirm Due Date Calculation in PO sheet and date math formats in Set and append nodes. | Need Help or More Workflows? Want to customize this workflow for your business or integrate it with your existing tools? Our team at Digital Biz Tech can tailor it precisely to your use case from automation logic to AI-powered enhancements. We can help you set it up for free — from connecting credentials to deploying it live. Contact: shilpa.raju@digitalbiz.tech Website: https://www.digitalbiz.tech LinkedIn: https://www.linkedin.com/company/digital-biz-tech/ You can also DM us on LinkedIn for any help.

What this workflow does This workflow automates the discovery, evaluation, and notification of job opportunities based on a candidate’s professional profile. It fetches remote job listings, compares each role against a structured candidate profile stored in Google Sheets, and uses AI to evaluate real alignment in terms of skills, seniority, salary, industry, and role complexity. Only the most relevant opportunities are kept, stored in Google Sheets, and delivered via email as a Top 5 shortlist. Decodo – Web Scraper for n8n How to configure (quick setup) Define the candidate profile in Google Sheets (skills, salary expectations, preferences). Configure credentials (Google Sheets, Gmail, decodo, AI provider). Set the matching threshold (e.g. skill match ≥ 90%). Run the workflow manually or on a schedule. Output Structured job match results in Google Sheets Automated email with the Top 5 best-matched job opportunities

📄 AI-Powered Verified Job Offer Letter Generator Description Creating job offer letters manually is time-consuming, error-prone, and difficult to scale. This AI-powered workflow automates the entire job offer letter process — from validating candidate emails to generating and delivering professional PDF offer letters. This intelligent workflow eliminates repetitive drafting, reduces human errors, and ensures offer letters are sent only to verified email addresses, helping HR teams move faster while maintaining professionalism and accuracy. What This Workflow Does Transforms manual offer letter creation into a seamless, automated HR process: 📝 Capture Candidate & Job Details – Receives candidate name, email, job role, salary, joining date, and company details via webhook or form. 📧 Email Verification – Validates the candidate’s email address before sending any communication to prevent delivery errors. 🧠 AI-Powered Offer Letter Generation – Uses AI to generate a clear, professional, and structured job offer letter. 📄 HTML Offer Letter Formatting – Converts the AI-generated content into a clean and readable HTML layout. 📑 PDF Generation – Automatically converts the offer letter into a professional PDF document. 📧 Offer Letter Delivery – Sends the PDF offer letter directly to the verified candidate email. 🗂️ Document Storage – Saves a copy of the offer letter for internal records and future reference. 🔁 Confirmation Response – Returns a success response confirming completion. Key Features 🤖 AI Offer Letter Writing – Generates professional, ready-to-send offer letters automatically. 📧 Email Verification Built-In – Ensures offer letters are only sent to valid email addresses. 📑 PDF Generation – Creates clean, official-looking offer letters. ⚙️ End-to-End Automation – No manual drafting, formatting, or sending required. 📂 Centralized Record Keeping – Keeps copies of all generated offer letters. 🔄 Flexible Triggering – Can be triggered from HR systems, forms, or internal tools. Perfect For 🏢 HR & Recruitment Teams – Automate offer letter creation and delivery. 🚀 Startups & Growing Companies – Send professional offer letters without extra admin work. 🏫 Staffing & Hiring Agencies – Generate offer letters quickly for multiple candidates. 💻 Remote & Distributed Teams – Ensure consistent communication across locations. 🧠 Operations Teams – Maintain accurate records and reduce manual errors. What You’ll Need Required Integrations 🌐 Webhook Trigger – Receives candidate and job details. 🤖 OpenAI – Generates offer letter content. 📧 VerifyEmail – Validates candidate email addresses. 📄 HTMLCSS to PDF – Converts HTML into PDF offer letters. 📧 Gmail – Sends the offer letter email. ☁️ Google Drive (optional) – Stores generated offer letters. Optional Enhancements 🎨 Brand Customization – Add company logo, colors, and formatting to offer letters. 🧾 HR System Integration – Connect with ATS or HR tools for automatic triggering. 🌍 Multilingual Offer Letters – Generate offer letters in different languages. 🔐 Approval Step – Add internal approval before sending offer letters. 📊 Audit Logging – Store offer letter data in Google Sheets or databases. 📎 Additional Attachments – Include policies or onboarding documents with the offer letter. Quick Start 1️⃣ Import the workflow template into your n8n workspace 2️⃣ Connect credentials for OpenAI, VerifyEmail, Gmail, and HTMLCSS to PDF 3️⃣ Send test candidate data to the webhook 4️⃣ Review the generated PDF offer letter 5️⃣ Activate the workflow and start sending offer letters automatically Customization Options 1️⃣ Offer Letter Tone – Adjust AI prompt for formal or friendly tone. 2️⃣ Company Branding – Customize HTML layout and styling. 3️⃣ Email Content – Modify subject line and email message. 4️⃣ PDF Layout – Adjust spacing, fonts, and structure. 5️⃣ Storage Location – Change where offer letters are saved. 6️⃣ Validation Rules – Extend email or input checks. Expected Results ⚡ Faster Hiring Process – Generate offer letters in minutes. 🤖 Consistent Quality – Every offer letter follows a professional format. 📧 Error-Free Delivery – Verified emails reduce failed communication. 🗂️ Organized Records – All offer letters stored automatically. 🏢 Professional Candidate Experience – Clean, official documents every time. Workflow Structure Visualization 📝 Candidate & Job Details ↓ 📧 Email Verification ↓ 🧠 AI Offer Letter Generation ↓ 📄 HTML Formatting ↓ 📑 PDF Conversion ↓ 📧 Email Delivery ↓ 🔁 Confirmation Response 🚀 Ready to Automate Job Offer Letters? Import this template today and let AI handle offer letter creation, verification, and delivery — so your team can focus on hiring the right talent faster. ✨

This workflow automatically processes Fireflies.ai meeting recap emails, extracts the meeting transcript, generates a structured summary email, and sends it to a designated recipient. Key Advantages 1. ✅ Full Automation of Meeting Summaries The workflow eliminates all manual steps from receiving the Fireflies email to sending a polished summary. This ensures: No delays No forgotten recaps No repetitive manual tasks 2. ✅ Accurate Extraction of Meeting Information Using AI-based information extraction and custom parsing, the workflow reliably identifies: The correct meeting link The Fireflies meeting ID Relevant transcript data This avoids human error and ensures consistency. 3. ✅ High-Quality, AI-Generated Email Summaries The Gemini-powered summary generator: Produces well-structured, readable emails Includes decisions, action items, and discussion points Automatically crafts a professional subject line Uses real content (no placeholders) This results in clear, usable communication for recipients. 4. ✅ Robust Error-Free Data Handling The workflow integrates custom JavaScript steps to: Parse URLs safely Convert AI responses into valid JSON Ensure correct formatting before email delivery This guarantees the message is always properly structured. 5. ✅ Professional Formatting By converting Markdown to HTML, the summary: Is visually clear Displays well on all email clients Enhances readability for recipients 6. ✅ Easily Scalable and Adaptable The workflow can be expanded to: Send summaries to multiple recipients Add storage (e.g., Google Drive) Trigger based on additional conditions Integrate with CRMs or project management tools How It Works Trigger The workflow starts with a Gmail Trigger that checks for new emails with the subject "Your meeting recap" from fred@fireflies.ai every hour. Email Processing When a matching email is found, the workflow retrieves the full email content and extracts the meeting recap URL using an Information Extractor node powered by OpenAI GPT-4.1-mini. Meeting ID Extraction A Code Node extracts the meeting ID from the Fireflies URL (between :: and ?) for use in the next step. Transcript Fetching The meeting ID is sent to the Fireflies Node, which retrieves the full transcript and summary data (short summary, short overview, and full overview). AI-Powered Email Generation The meeting summary data is passed to a Google Gemini node, which generates a complete meeting summary email with a subject line and body in JSON format. Data Formatting The raw JSON output is parsed in a Code Node, and the email body is converted from Markdown to HTML using the Markdown Node. Email Delivery Finally, the email is sent via Gmail with the AI-generated subject and HTML body. Set Up Steps Configure Credentials Set up Gmail OAuth2 credentials for email triggering and sending. Add Fireflies.ai API credentials for fetching transcripts. Configure OpenAI and Google Gemini API keys for AI processing. Adjust Email Filters Update the Gmail Trigger filters (subject and sender) if Fireflies.ai uses a different sender or subject format. Customize Output Email Modify the recipient email in the Send email node to the desired address. Optional: Modify AI Prompts Adjust the system prompts in the Information Extractor and Email Agent nodes to change extraction behavior or email tone. Activate Workflow Ensure the workflow is set to Active in n8n, and test it by sending a sample Fireflies recap email to your connected Gmail account. Need help customizing? Contact me for consulting and support or add me on Linkedin.

Mirai MailFlow – Gumroad Personalized Autoreply This n8n template automates post-purchase communication for Gumroad creators by sending AI-powered personalized thank-you emails and logging customer data into Notion. It helps creators engage buyers instantly while keeping a clean customer CRM — fully hands-free. Use cases Automatically send personalized thank-you emails after every Gumroad purchase Maintain a lightweight customer CRM in Notion Reduce manual email follow-ups for digital product sales Improve buyer experience and post-purchase engagement Build a foundation for creator support, upsells, or onboarding flows Good to know This workflow connects to a few external services, so credentials must be configured before running the template. It works on both n8n Cloud and self-hosted instances, and setup typically takes 5 minutes. Requirements n8n Cloud or self-hosted instance Gmail account (OAuth connected) to receive and send emails Notion account with a customer database Google Gemini API key for AI-generated email content Customising this workflow Replace Gmail with Slack, Telegram, or WhatsApp for message delivery Swap Google Gemini with OpenAI or Claude for different writing styles Add follow-up emails, upsells, or discount links Extend the Notion database into a full creator CRM Use it as a base for Gumroad analytics, support automation, or AI creator tools

📌 Workflow Overview This workflow enables multi-platform social media posting using Google Sheets as the control center. Whenever a new row is added to the sheet, the workflow automatically posts the content to Instagram, Facebook, and/or LinkedIn based on platform flags, then updates the post status to prevent duplicates. Supported Platforms Instagram (Business) Facebook Pages LinkedIn Pages 🧠 Key Concept Google Sheets acts as a lightweight CMS and automation trigger. Each row represents one post, and simple TRUE/FALSE columns decide where that post should be published. 📄 Required Google Sheets Columns The content sheet must include the following columns: Content** – Text to publish Instagram** – TRUE / FALSE Facebook** – TRUE / FALSE LinkedIn** – TRUE / FALSE Status** – Updated after posting Row Number** – Used for precise updates ⚙️ How This Workflow Works 1️⃣ Trigger: New Content Added The workflow starts when a new row is added to Google Sheets. This allows near real-time publishing without manual execution. 2️⃣ Configuration Setup Platform-specific values like: Instagram Business Account ID Facebook Page ID Are defined once in a configuration node for easy reuse and maintenance. 3️⃣ Platform Routing Logic IF nodes check each platform column: Instagram = TRUE → post to Instagram Facebook = TRUE → post to Facebook LinkedIn = TRUE → post to LinkedIn One row can trigger posting to multiple platforms. 4️⃣ Platform Posting Posts are published using: Facebook Graph API (Instagram + Facebook) LinkedIn API (LinkedIn Pages) The Content column is used directly as the post body. 5️⃣ Status Update (Per Platform) After posting: The workflow updates the same row using Row Number Marks the post as completed for that platform This prevents duplicate or accidental re-posts. 🔄 Current Capabilities Multi-platform posting from one sheet Platform-specific routing logic Real-time execution on new content Safe status updates using row matching 🚀 Designed for Easy Expansion This workflow is intentionally modular and can be extended with: Scheduled posting (date/time columns) Image & media handling AI-generated captions Hashtag optimization Engagement analytics Retry & error handling logic ✅ Best Practices Use TRUE / FALSE consistently in platform columns Keep Google Sheets as the single source of truth Add validation or approval columns if used by teams 📦 Ideal Use Cases Social media managers Marketing teams Founders & creators Agencies handling multiple platforms This workflow provides a scalable foundation for social media automation while remaining simple, transparent, and easy to maintain.