Workflow Templates

Your inbox is overflowing with daily newsletters: Public Affairs, ESG, Legal, Finance, you name it. You want to stay informed, but reading 10 emails every morning? Impossible. What if you could get one single digest summarizing everything that matters, automatically? ❌ No more copy-pasting text into ChatGPT ❌ No more scrolling through endless email threads ✅ Just one smart, structured daily briefing in your inbox Who Is This For Public Affairs Teams: Stay ahead of political and regulatory updates—without drowning in emails. Executives & Analysts: Get daily summaries of key insights from multiple newsletters. Marketing, Legal, or ESG Departments: Repurpose this workflow for your own content sources. How It Works Gmail collects all newsletters from the day (based on sender or label). HTML noise and formatting are stripped automatically. Long texts are split into chunks and logged in Google Sheets. An AI Agent (Gemini or OpenAI) summarizes all content into one clean daily digest. The workflow structures the summary into an HTML email and sends it to your chosen recipients. Setup Guide • You’ll need Gmail and Google Sheets credentials. • Add your own AI Model (e.g., Gemini or OpenAI) with an API key. • Adjust the prompt inside the “Public Affairs Consultant” node to fit your topic (e.g., Legal, Finance, ESG, Marketing). • Customize the email subject and design inside the “Structure HTML-Mail” node. • Optional: Use Memory3 to let the AI learn your preferred tone and style over time. Cost & Runtime Runs once per day. Typical cost: ~$0.10–0.30 per run (depending on model and input length). Average runtime: <2 minutes.

How it works This beginner-friendly workflow demonstrates the core building blocks of n8n. It guides you through: Triggers – Start workflows manually, on a schedule, via webhooks, or through chat. Data processing** – Use Set and Code nodes to create, transform, and enrich data. Logic and branching – Apply conditions with IF nodes and merge different branches back together. API integrations** – Fetch external data (e.g., users from an API), split arrays into individual items, and extract useful fields. AI-powered steps** – Connect to OpenAI for generating fun facts or build interactive assistants with chat triggers, memory, and tools. Responses** – Return structured results via webhooks or summary nodes. By the end, it demonstrates a full flow: creating data → transforming it → making decisions → calling APIs → using AI → responding with outputs. Set up steps Time required: 5–10 minutes. What you need: An n8n instance (cloud or self-hosted). Optional: API credentials (e.g., OpenAI) if you want to test AI features. Setup flow: Import this workflow. Add your API keys where needed (OpenAI, etc.). Trigger the workflow manually or test with webhooks. >👉 Detailed node explanations and examples are already included as sticky notes inside the workflow itself, so you can learn step by step as you explore.

This workflow automates brand monitoring on X by analyzing both the text and the images in posts. It uses multi-modal AI to score brand relevance, filters out noise, logs important mentions in Airtable, and sends real-time alerts to a Telegram group for high-priority posts. What it does Traditional brand monitoring tools often miss the most authentic user content because they only track text. They can't "see" your logo in a photo or your product featured in a video without a direct keyword mention. This workflow acts as an AI agent that overcomes this blind spot. It finds mentions of your brand on X and then uses Google Gemini's multi-modal capabilities to perform a comprehensive analysis of both the text and any attached images. This allows it to understand the full context of a mention, score its relevance to your brand, and take the appropriate action, creating a powerful "visual intelligence" system. How it works The workflow runs on a schedule to find, analyze, and triage brand mentions. Get New Tweets: The workflow begins by using an Apify actor to scrape X for recent posts based on a defined set of search terms (e.g., Tesla OR $TSLA). It then filters these results to find unique mentions not already processed. Check for Duplicates: It cross-references each found tweet with an Airtable base to ensure it hasn't been analyzed before, preventing duplicate work. Analyze Post Content: For each new, unique post, the workflow performs two parallel analyses using Google Gemini: Analyze the Photos: The AI examines the images in the post to describe the scene, identify logos or products, and determine the visual mood. Analyze the Text: A separate AI call analyzes the text of the post to understand its context and sentiment. Final Relevance Check: A "Head Strategist" AI node receives the outputs from both the visual and text analyses. It synthesizes this information to assign a final brand relevance score from 1 to 10. Triage and Action: Based on this score, the workflow automatically triages the post: High Relevance (Score > 7): The post is logged in the Airtable base, and an instant, detailed alert is sent to a Telegram monitoring group. Medium Relevance (Score 4-7): The post is quietly logged in Airtable for later strategic review. Low Relevance (Score < 4): The post is ignored, effectively filtering out noise. Setup Instructions To get this workflow running, you will need to configure your Airtable base and provide credentials for Apify, Google, and Telegram. Required Credentials Apify: You will need an Apify API Token to run the X scraper. Airtable: You will need Airtable API credentials to connect to your base. Google AI: You will need credentials for the Google AI APIs to use the Gemini models. Telegram: You will need a Bot Token and the Chat ID for the channel where you want to receive high-relevance alerts. Of course. Based on the Config node parameters you provided, the setup process is much more centralized. Here is the corrected and rewritten "Step-by-Step Configuration" section. Of course. Here is the rewritten "Step-by-Step Configuration" section with the link to the advanced search documentation. Step-by-Step Configuration Set up Your Airtable Base: Before configuring the workflow, create a new table in your Airtable base. For the workflow to function correctly, this table must contain fields to store the analysis results. Create fields with the following names: postId, postURL, postText, postDateCreated, authorUsername, authorName, sentiment, relevanceScore, relevanceReasoning, mediaPhotosAnalysis, and status. Once the table is created, have your Base ID and Table ID ready to use in the Config node. Edit the Config Node: The majority of the setup is handled in the first Config node. Click on it and edit the following parameters in the "Expressions" tab: searchTerms: Replace the example with the keywords, hashtags, and accounts you want to monitor. The field supports advanced search operators for complex queries. For a full list of available parameters, see the Twitter Advanced Search documentation. airtableBaseId: Paste your Airtable Base ID here. airtableTableId: Paste your Airtable Table ID here. lang: Set the two-letter language code for the posts you want to find (e.g., "en" for English). min_faves: Set the minimum number of "favorites" a post should have to be considered. tweetsToScrape: Define the maximum number of posts the scraper should find in each run. actorId: This is the specific Apify actor for scraping X. You can leave this as is unless you intend to use a different one. Configure the Telegram Node: In the final node, "Send High Relevance Posts to Monitoring Group", you need to manually set the destination for the alerts. Enter the Chat ID for your Telegram group or channel. How to Adapt the Template This workflow is a powerful framework that can be adapted for various monitoring needs. Change the Source:* Replace the *Apify** node with a different trigger or data source. You could monitor Reddit, specific RSS feeds, or a news API for mentions. Customize the AI Logic:* The core of this workflow is in the AI prompts. You can edit the prompts in the *Google Gemini** nodes to change the analysis criteria. For example, you could instruct the AI to check for specific competitor logos, analyze the sentiment of comments, or identify if the post is from an influential account. Modify the Scoring:** Adjust the logic in the "Switch" node to change the thresholds for what constitutes a high, medium, or low-relevance post to better fit your brand's needs. Change the Actions:* Replace the *Telegram** node with a different action. Instead of sending an alert, you could: Create a ticket in a customer support system like Zendesk or Jira. Send a summary email to your marketing team. Add the post to a content curation tool or a social media management platform.

📊 Description Automatically analyze the sentiment of Facebook posts and their audience comments using GPT-4 to identify trends and potential PR risks. 🧠💬 This workflow fetches recent posts via the Facebook Graph API, performs AI-powered sentiment analysis on both posts and comments, routes negative results to Slack for immediate attention, logs all data into Google Sheets, and sends a beautifully formatted sentiment summary report via Outlook. 📈📧 What This Template Does 1️⃣ Trigger – Runs daily at 10 AM to fetch the latest Facebook posts. ⏰ 2️⃣ Data Extraction – Pulls post text, reactions, and up to 100 comments per post using Facebook Graph API. 📲 3️⃣ Formatting – Structures and cleans Facebook data for AI analysis. 🧩 4️⃣ AI Sentiment Analysis – GPT-4 evaluates post tone and audience sentiment with confidence scores and explanations. 🤖 5️⃣ Routing – Sends negative sentiment alerts directly to Slack for quick response. ⚠️ 6️⃣ Logging – Records all sentiment metrics in Google Sheets, including positivity ratio and engagement data. 📊 7️⃣ Reporting – Generates a color-coded HTML email report and delivers it via Outlook. 💌 8️⃣ Error Handling – Sends Slack alerts if any node in the workflow fails. 🛡️ Key Benefits ✅ Monitors brand reputation automatically across Facebook comments ✅ Provides structured AI sentiment reports for data-driven decisions ✅ Flags negative audience sentiment for timely intervention ✅ Maintains an always-updated sentiment log in Google Sheets ✅ Delivers professional HTML summary emails to teams Features Automated daily trigger for post sentiment scanning Facebook Graph API integration for posts and comments GPT-4–powered comment tone and sentiment scoring Slack notifications for negative sentiment alerts Google Sheets sentiment dashboard logging Beautiful HTML report delivery through Microsoft Outlook Built-in error detection with Slack fallback alerts Requirements Facebook Graph API credentials with pages_read_engagement access OpenAI API key for GPT-4 or GPT-4o Slack Bot token with chat:write permission Google Sheets OAuth2 credentials with edit rights Microsoft Outlook OAuth2 credentials for email delivery Target Audience Social media and marketing teams monitoring brand perception 📣 PR teams managing engagement or audience sentiment 🧾 Analysts building data dashboards from engagement metrics 📊 Agencies offering automated reporting for client pages 🧑‍💼 Step-by-Step Setup Instructions 1️⃣ Connect Facebook Graph API credentials and set your page ID. 2️⃣ Add OpenAI credentials for GPT-4 sentiment analysis. 3️⃣ Configure Slack and provide your channel ID for alerts. 4️⃣ Set Google Sheets credentials and specify sheet ID and name. 5️⃣ Connect Microsoft Outlook for email report delivery. 6️⃣ Adjust the daily schedule (default 10 AM) as needed. 7️⃣ Run once manually to verify setup, then enable automation. ✅

Analyze YouTube videos for virality with an AI-powered report This workflow automates the discovery and analysis of potentially viral YouTube videos. It searches for recent, popular videos based on a keyword, calculates a unique "Algorithmic Lift Score" to measure virality, and uses an AI agent to generate an insightful summary report that is sent directly to your email. What it does This workflow identifies videos that are outperforming their channel's baseline, a key indicator of viral potential. It operates in several stages: Searches YouTube: It finds recent, top-performing videos based on your specified keyword and timeframe. Gathers Data: For each video found, it fetches detailed statistics for both the video (views, likes, comments) and its channel (subscriber count, total views). Calculates Virality Score: It calculates an "Algorithmic Lift Score" for each video. This custom metric prioritizes videos that achieve high view counts and engagement relative to their channel's subscriber base. Analyzes with AI: The top 5 videos, sorted by their virality score, are sent to an AI agent (pre-configured for OpenAI). The AI generates a concise summary highlighting trends, top performers, and other noteworthy patterns. Sends Email Report: The final AI-generated analysis is converted to HTML and emailed to you, providing a ready-to-read report on what's trending in your niche. Who it's for This workflow is perfect for: Content Creators** looking for trending topics and content ideas. Digital Marketers** conducting competitor analysis or market research. Social Media Managers** wanting to understand what content resonates on YouTube. Data Analysts** who need to automate the collection and analysis of YouTube trends. Requirements A Google API Key with the "YouTube Data API v3" enabled. An OpenAI API Key (or another compatible AI model credential). A connected Gmail account in n8n to send the final report. How to set up Configure the Setup Node: Click on the "Setup" node and fill in the values: query: The keyword you want to search for (e.g., "AI tools"). GoogleAPIkey: Your Google API key. daysback: How many days in the past to search for new videos. maxResult: The number of videos to analyze (e.g., 20). email: The email address where the report will be sent. Set AI Credentials: Click the "OpenAI Chat Model" node and add your OpenAI API key to the credentials. Set Gmail Credentials: Click the "Send_Report" node and connect your Gmail account to the credentials.

How it works: When a user submits a form with event details, the workflow sends this information to OpenAI's GPT-5 model, which generates a curated list of 18–32 songs tailored to the occasion and audience. The workflow then searches Spotify for each recommended song, creates a new playlist on the user's Spotify account, adds all the tracks, and sends the user an email with a direct link to listen. Key Features: AI-Powered Playlist Generation: Uses OpenAI's GPT-5 model to create contextually relevant song recommendations based on event type, audience, and personal preferences. Automated Spotify Integration: Searches Spotify's API for each song and automatically adds them to a new playlist on the user's account. One-Click Listening: Users receive an email with a direct Spotify link to listen, follow, and modify the playlist immediately after creation. Multi-Language Support: The AI responds in the same language as the user's input, making the workflow accessible globally. Email Confirmation: Users instantly receive an email notification confirming playlist creation with a shareable Spotify link. Step-by-step: Form Submission Trigger: User submits event details (occasion, guests, preferences, and email) through the web form. AI Playlist Generation: OpenAI's GPT-5 generates a curated list of 18–32 songs based on the provided event context. Spotify Integration: The workflow searches Spotify for each song, creates a new playlist, and adds all found tracks to the user's account. Email Notification: User receives an email with the playlist name and a direct Spotify link to listen immediately. API Keys Required OpenAI API Key: Required to access GPT-5 for generating playlist recommendations. Spotify Client ID & Secret: Required to authenticate with Spotify's API for searching, creating playlists, and adding tracks. SMTP Credentials: Required to send the confirmation email to the user (server, port, username, password, and sender email). Response Generation The AI model receives event details and generates a structured JSON response containing a playlist name, 18–32 song recommendations with artist credits, and HTML-formatted content for website integration, all in the user's language.

How it works This workflow runs on scheduled weekly and monthly triggers to generate unified marketing performance reports. It processes multiple websites by collecting analytics data, paid ads performance, and CRM leads, then calculates KPIs and insights automatically. The workflow sends structured reports via email and stores historical data in Google Sheets. It ensures consistent reporting without manual effort. Step-by-step Step 1: Trigger & report type detection** Schedule Trigger2 – Triggers the workflow weekly at a predefined time. Schedule Trigger3 – Triggers the workflow monthly at a predefined time. check month and week1 – Identifies whether the run is weekly or monthly and sets flags. Set Websites and Campaings1 – Defines websites, GA4 property IDs, and mapped ad campaigns. Expand Websites1 – Expands the website array into individual website items. Attach Run Flags1 – Attaches weekly or monthly flags to each website record. Step 2: Website & ads data processing** Loop Websites1 – Iterates through each website independently. Get a report – Fetches website traffic and engagement metrics from analytics. Get many campaigns – Retrieves Google Ads campaign data. Fetch Meta Ads – Fetches Meta Ads performance data via API. Filter Google Ads By Website1 – Filters Google Ads campaigns by website. Filter Meta Ads By Website1 – Filters Meta Ads campaigns by website. Merge1 – Merges analytics, Google Ads, and Meta Ads datasets. Build Website Dataset1 – Builds a unified dataset per website. Calculate KPIs & Campaign Insights1 – Calculates spend, CTR, CPA, CPL, conversions, and performance insights. Append or update row in sheet2 – Stores website-level marketing metrics in Google Sheets. Step 2.1: Marketing report generation** Prepare Report Data2 – Combines all website datasets into a unified report object. Switch – Routes execution based on weekly or monthly report type. Send Weekly Marketing report2 – Sends the weekly marketing performance email. Send Monthly Marketing Report2 – Sends the monthly marketing performance email. Step 3: HubSpot lead analysis** Fetch1 – Fetches leads from HubSpot CRM. Filter Hubspot Leads – Filters leads based on weekly or monthly time range. Summarize Hubspot Leads – Aggregates lead status and lifecycle metrics. Prepare Report Data3 – Prepares CRM summary data for reporting. Step 3.1: CRM reporting & storage** Switch3 – Routes CRM reporting by report type. Send Weekly Marketing report3 – Sends the weekly CRM summary email. Send Monthly Marketing Report3 – Sends the monthly CRM summary email. Code in JavaScript1 – Transforms CRM data for storage. Append or update row in sheet3 – Stores CRM lead performance data in Google Sheets. Switch3 – Routes CRM reporting by report type. Send Weekly Marketing report3 – Sends the weekly CRM summary email. Send Monthly Marketing Report3 – Sends the monthly CRM summary email. Code in JavaScript1 – Transforms CRM data for storage. Append or update row in sheet3 – Stores CRM lead performance data in Google Sheets. Why use this? Automates complex weekly and monthly marketing reporting. Unifies website analytics, ad platforms, and CRM data in one flow. Delivers consistent KPI calculations and insights every run. Maintains historical performance logs in Google Sheets. Scales easily across multiple websites and campaigns.

Description Automatically qualify and route new leads from a Google Sheet into your CRM with AI-powered scoring and instant sales notifications. Turn raw form submissions into prioritized opportunities—effortlessly. ⚡ What This Template Does Monitors a Google Sheet for new form submissions. 📄 Uses Azure OpenAI (GPT-4o-mini) to analyze lead details (value, stage, company) and generate action items. 🤖 Parses the AI response into clean JSON for structured processing. 🗂️ Saves qualified lead data and AI-generated action items into a Lead Status sheet for tracking. 💾 Categorizes leads into Hot, Warm, or Cold based on AI scoring. 🔥❄️ Creates/updates the contact in HighLevel CRM. 📇 Sends an email notification to the assigned sales rep with lead details and priority. 📧 Key Benefits Save time with automated lead qualification instead of manual checks. ⏱️ Ensure consistent Hot/Warm/Cold scoring across all leads. ✅ Centralize lead data in both Google Sheets and CRM for tracking. 📊 Keep sales teams aligned with instant notifications. 🚀 Fully no-code configurable and customizable for your business logic. 🧩 Features Google Sheets Trigger for new form rows. 📥 AI Agent with Azure OpenAI (GPT-4o-mini) for lead scoring. 🧠 JSON parsing node to clean AI output. ✂️ Lead logging to “Lead Status” sheet. 📊 Function node to categorize leads by score. 🎯 CRM sync with HighLevel to update/create contact records. 🔗 SMTP email notification to sales reps. ✉️ Requirements n8n instance (cloud or self-hosted). 🧰 Google Sheet with headers: Lead Name, Lead Email, Lead Contact No., Company Name, Opportunity Value, Stage of Lead; shared with n8n Google account. 📑 Azure OpenAI access with a GPT-4o-mini deployment. ☁️ HighLevel CRM account connected via OAuth. 📇 SMTP email account configured in n8n. 📧 Target Audience Sales teams handling inbound leads. 📈 Agencies managing multiple client pipelines. 🤝 Founders/startups wanting quick qualification and CRM sync. 🚀 Ops teams needing reliable reporting of lead qualification. 🗂️ Step-by-Step Setup Instructions (Concise) Create a Google Sheet with required headers; share with n8n account. 📋 Configure the Google Sheets Trigger with the sheet’s Document ID. 🔐 Connect your Azure OpenAI credentials and link to the AI Agent node. 🧠 Assign your HighLevel CRM account credentials. 📇 Set up SMTP credentials for the email send node. ✉️ Import the workflow, update node configs, and run a test submission. ▶️ Security Best Practices Share Google Sheets only with the n8n Google account (Editor). 🔒 Keep API keys and credentials encrypted in n8n, not hardcoded. 🛡️ Validate AI outputs before saving to CRM (via the parse node). ✅ Regularly back up your Lead Status sheet and CRM data. 📂

How it works Automatically generates professional PDF invoices from webhook data and delivers them via email while storing backups in Google Drive. Perfect for freelancers, small businesses, and service providers who need automated billing workflows. Set up steps Configure environment variables for company information (name, address, email, phone). Set up your PDF generation API service account (PDFShift recommended). Configure SMTP email credentials for invoice delivery. Set up Google Drive OAuth2 for cloud storage. Deploy the workflow and test with sample invoice data. Key features Smart invoice number generation if not provided Automatic tax calculations with configurable rates Professional HTML templates with company branding Parallel processing for email and storage Comprehensive error handling and validation Detailed success confirmation responses Required environment variables COMPANY_NAME - Your business name COMPANY_ADDRESS - Business mailing address COMPANY_EMAIL - Billing contact email COMPANY_PHONE - Business phone number PDF_API_URL - PDF generation service endpoint PDF_API_KEY - API authentication key GDRIVE_INVOICE_FOLDER_ID - Google Drive folder ID API requirements PDF generation service (PDFShift, HTML/CSS to PDF API, or similar), SMTP email service for delivery, Google Drive API access for storage. Input format { "customerName": "John Smith", "customerEmail": "john@example.com", "items": [ {"description": "Web Design", "quantity": 1, "price": 500} ], "dueDate": "2025-02-15" }

Weekly Google Analytics 4 Report - Full WoW Tracking & Auto-Generated with Gemini AI Stop manually building weekly analytics reports. This workflow automatically fetches your GA4 data every Monday morning, generates an AI-written executive summary using Gemini, builds a premium formatted HTML email with deep Week-over-Week (WoW) comparisons for every metric, and delivers it straight to your stakeholders' inboxes — fully hands-free. 👤 Who is this for? Marketing teams* and *agency owners** who report GA4 metrics weekly to clients Product managers* and *founders** who want a Monday morning performance digest Freelancers** managing analytics for multiple clients who want to automate reporting Anyone who spends 30–60 minutes every week manually pulling GA4 numbers and calculating WoW changes 🚩 What problem does this solve? Manual GA4 reporting is repetitive, error-prone, and time-consuming. This template eliminates that entirely — every Monday at 8:00 AM in your configured timezone, a fully formatted report lands in your inbox. With the new dual-node architecture, it automatically calculates accurate WoW trends for your overall metrics, specific pages, traffic sources, and more, all contextualized by a Gemini-generated executive summary. ⚙️ What this workflow does ⏰ Triggers every Monday at 8:00 AM via the Schedule Trigger node 📡 Fetches 14 GA4 reports in parallel - pulling both Current Week and Previous Week data simultaneously for speed: Overview metrics Top 5 Screens / Pages by views Top 5 Traffic Sources / Referrals Top 5 Events by count Top 5 Countries by sessions Device breakdown (mobile / desktop / tablet) New vs Returning users 🔀 Merges all 14 responses and passes the complete historical dataset forward 🤖 Gemini writes a 3-5 bullet point summary analyzing the full WoW dataset to highlight performance trends, audience behaviour, and actionable recommendations 🧮 Code node processes all data - aligns current vs. previous week data, calculates WoW % changes for every single category, handles new/dropped entries, and builds the full inline-CSS HTML email 📧 Sends the report via standard SMTP / Email node to your configured recipients 📧 What the email report includes Header** - dark luxury card with 4 KPI tiles (Users, Sessions, Bounce Rate, Avg Duration) and WoW arrows AI Executive Summary** - 3-5 bullet point Gemini-generated insight (hidden automatically if Gemini fails) Overview Table** - all 5 core metrics with This Week / Last Week / WoW % change pill badges Audience** - New vs Returning users with visual progress bars and WoW changes Top Screens** - ranked by views, including previous week values and WoW trend pills. (not set) and (empty) rows are preserved for transparency Traffic Sources** - top referral channels with WoW changes; direct traffic auto-labelled as Direct / App Open Top Events** - tracks interaction trends with WoW changes; system events (first_open, os_update, etc.) are filtered out automatically Geography** - top 5 countries by sessions with WoW comparisons Devices** - mobile / desktop / tablet with visual progress bars and WoW trend pills 🛠️ Setup Instructions Step 1 - Google Analytics 4 Credential Go to n8n Credentials → Add new → search Google Analytics OAuth2 Sign in with the Google account that has access to your GA4 property Assign this credential to all 14 GA4 nodes Step 2 - Set your GA4 Property ID Open each of the 14 GA4 nodes In the Property ID field, replace {YOUR_PROPERTY_ID} with your GA4 numeric property ID Find your Property ID at: GA4 Admin → Property Settings → Property ID (looks like 123456789) Step 3 - Gemini API Credential Get your free API key at aistudio.google.com Go to n8n Credentials → Add new → search Google Gemini Paste your API key and assign it to the Generate AI Summary node Step 4 - Email / SMTP Credential Go to n8n Credentials → Add new → search SMTP (or swap the node for Gmail OAuth2 if preferred) Enter your email host, port, and login credentials Assign to the Send Weekly Report node Step 5 - Set Recipients Open the Send Weekly Report node (or the Code node depending on your mapping preference) Update the To Email field with your recipient address(es): 'email@example.com, email2@example.com' Alternatively, update the recipients: line at the bottom of the Build Report & Email HTML Code node. Step 6 - Set Timezone Open the Weekly Monday Trigger node Update the workflow settings to match your local timezone so the 8:00 AM trigger fires correctly. 🔧 How to Customise Change the schedule** → Open the trigger node, adjust the day and time to any cadence you need (daily, bi-weekly, monthly) Change the client brand in the footer** → Search for AppStoneLab Technologies in the Code node and replace it with your client or company name Filter or change events** → In the Code node, find the EXCLUDE_EVENTS array and add/remove event names to control which events appear in the report Change the AI summary language or tone** → Edit the prompt inside the Generate AI Summary Gemini node to match your client's preferred reporting style 📦 Requirements | Service | Purpose | Free Tier Available | | --- | --- | --- | | Google Analytics 4 | Source of all report data | ✅ Yes | | Google Gemini API | AI executive summary generation | ✅ Yes (via AI Studio) | | SMTP / Email | Email delivery | ✅ Yes | ⚠️ Notes Mobile app properties** - If your GA4 property tracks a mobile app, the workflow uses unifiedScreenName instead of pagePath, which works correctly for both web and app properties WoW calculations** - Bounce rate change is intentionally inverted (a decrease is shown as positive/green). If a metric like a specific page or country is new this week, the workflow dynamically tags it as "New" instead of breaking the calculation. Gemini failure handling** - If the Gemini node fails for any reason, the AI summary section is automatically hidden and the rest of the report sends normally Execute Once** - All 14 GA4 nodes have Execute Once enabled to prevent duplicate rows from the merge operation

How It Works This workflow automates medical imaging analysis and diagnostic reporting for radiology departments, imaging centers, and hospital networks managing high patient volumes. Designed for radiologists, medical imaging technicians, and diagnostic coordinators, it solves the challenge of rapidly analyzing imaging studies, prioritizing critical findings, routing cases appropriately, and generating structured reports while maintaining diagnostic accuracy and regulatory compliance. The system triggers on new imaging studies, fetches imagery and metadata, prepares data through AI agents (Validation ensures image quality and completeness), calculates risk scores, routes by validation status and risk level through multiple pathways, deploys specialized AI agents for comprehensive analysis (Orchestration coordinates findings, Google Calendar manages scheduling, Slack Tool enables team communication, Email Actions handles notifications, Water Monitoring tracks contrast protocols, Compliance Validation ensures regulatory adherence, Leave Management coordinates radiologist availability), and generates final diagnostic reports with complete audit trails. Organizations reduce diagnosis turnaround time by 60%, improve critical finding detection rates, ensure consistent reporting standards, and enable radiologists to focus on complex cases requiring expert judgment. Setup Steps Connect imaging trigger for automatic study notifications Configure PACS/VNA system APIs with credentials for DICOM image retrieval and metadata access Add AI model API keys to Validation Agent and specialized diagnostic agents Define risk stratification criteria in routing logic based on clinical protocols and imaging findings Link Google Calendar API for radiologist scheduling and case assignment workflows Configure Slack integration for care team communication and critical finding alerts Connect email system for patient/referring physician notifications and report distribution Prerequisites PACS/VNA system API access, HIPAA-compliant AI service accounts Use Cases Emergency radiology triage (stroke, trauma), lung nodule detection and tracking Customization Modify AI models for modality-specific analysis (CT, MRI, X-ray, ultrasound) Benefits Reduces diagnosis turnaround time by 60%, improves critical finding detection rates

How it works: Get multi social platform data for e-commerce clients with their email and send personalized comms to onboard them as organic creators, affiliates or ambassadors. Step by step workflow to enrich Shopify customers' emails with multi social (Instagram, Tiktok, Youtube, Twitter, Onlyfans, Twitch and more) profiles, analytics and metrics using the influencers.club API and send tailored outreach to activate them as creators. Set up: Shopify (can be swapped for any e-commerce CRM like Wix, WooCommerce or Hubspot, Sheets, direct DB integration) Influencers.club API Sendgrid (can be swapped for any programmatic email sender like Mailgun) Slack (optional notification for large influencers)