AI Automation
923 Ergebnisse — ausschließlich quellenverknüpfte n8n-Referenzen
Track RSS events with OpenAI GPT-4.1-mini, Google Sheets, and Outlook
Quick overview This automated pipeline monitors an RSS feed, leverages an OpenAI chat model to extract event details into structured JSON, logs the data to Google Sheets, and triggers real-time email notifications via Microsoft Outlook. How it works Trigger: An RSS node polls the specified feed every minute to detect new entries. Batching: A Loop node isolates each RSS item to ensure accurate, individual processing without data overlap. AI Extraction: An AI Agent, powered by OpenAI, extracts the event title, date, URL, and description, formatting the output strictly as JSON. Sanitization: A custom JavaScript Code node cleans the LLM response by stripping markdown blocks and parsing the JSON object. Database Logging: The Google Sheets node maps the parsed keys and appends a new row for the event. Alerting: An Outlook node dispatches an automated notification email, and the loop continues for the next item. Setup Configure the RSS Feed Trigger by pasting your target feed URL. Add your OpenAI API credentials to the OpenAI Chat Model node (verify your specific model identifier, e.g., gpt-4o-mini Authenticate the Google Sheets node via OAuth and select your destination spreadsheet and w
WTrack recurring job pain points with SerpApi, Gemini, and Google Sheets
Quick Overview This workflow runs weekly to pull Google Jobs results via SerpApi, uses Google Gemini to extract operational pain points and an automation opportunity from each posting, logs them to Google Sheets, and writes a frequency-ranked pain-point summary to a summary tab. How it works Runs weekly on a schedule. Sets the target job role, location, and Google Sheets tab name to use for this run. Queries Google Jobs through SerpApi and splits the response into one item per job posting. Sends each posting’s title, company, and description to Google Gemini and parses the returned JSON into structured fields. Appends each analyzed posting (company, title, pain points, automation opportunity, and collection date) as a new row in Google Sheets. Reads all rows from the same Google Sheets tab, counts how often each pain-point phrase appears, and sorts the list by frequency. Appends the ranked pain-point frequency list to a Google Sheets "summary" tab. Setup Add a SerpApi API key and update the SerpApi request parameters in the HTTP request step (or store the key in an n8n credential). Connect a Google Sheets OAuth2 credential and replace the placeholder spreadsheet URL/ID with your ow
Route WhatsApp support requests with Groq, Google Sheets, Gmail, Telegram and AiSensy
Quick overview This workflow receives incoming WhatsApp messages via an n8n webhook, loads an FAQ knowledge base from Google Sheets, and uses Groq (Llama 3.3) to classify intent and generate a reply. It sends the response through the AiSensy API, logs the conversation to Google Sheets, and alerts via Gmail and Telegram. How it works Receives a POST request from AiSensy on a WhatsApp webhook when a customer sends a message. Extracts the customer phone, name, message text, and timestamp, and ignores requests missing required fields. Loads FAQ question-and-answer rows from Google Sheets and sends them with the customer message to Groq (Llama 3.3) to classify intent, detect language and urgency, and draft a reply. Parses and validates the model’s JSON output and formats a safe fallback reply if parsing fails. Sends the generated reply back to the customer using the AiSensy WhatsApp API. Sends a Gmail alert when the intent is COMPLAINT and posts a Telegram alert when the intent is ESCALATE. Appends or updates a conversation log row in Google Sheets and returns a 200 OK webhook response. Setup Configure AiSensy to send message events to this workflow’s webhook URL (path: /whatsapp-suppor
Transform uploaded documents into structured data with Unstructured MCP
Quick overview This workflow collects an uploaded document via an n8n form and uses Unstructured’s hosted Transform MCP server to convert it into structured, LLM-ready text output, then returns the extracted content and basic stats (elements, characters) while handling size limits and transform job polling. How it works Receives a document upload through an n8n form trigger. Checks whether the uploaded file is within the 50 MB limit and shows a “File too large” completion page if it exceeds the cap. Requests a pre-signed upload URL from Unstructured Transform MCP and uploads the file bytes to that URL via HTTP PUT. Starts a transform job in Unstructured Transform MCP, then polls the job status every 5 seconds until it completes or fails. When the job completes, fetches the transform results metadata from Unstructured and verifies a download URL is available. Downloads the extracted output from the signed download URL and returns a formatted response containing the status, source filename, output stats, and extracted content (or a “No content could be extracted” message). Setup Create an Unstructured Transform account and generate an API key, then add it to n8n as an HTTP Bearer Aut
Log email receipts to Google Sheets with Gmail and OpenAI
Quick Overview This workflow logs Gmail receipt attachments to Google Sheets by extracting structured fields with OpenAI (including category selection from your list), prevents duplicates by checking the ledger, and sends a monthly spending summary email via Gmail based on last month’s rows. How it works Triggers when a Gmail message matching has:attachment subject:receipt arrives or when a schedule runs on the 1st of the month at 8am. For receipt emails, looks up the Gmail message ID in Google Sheets and stops if the receipt is already logged. If the receipt is new, extracts text from PDF attachments or transcribes image receipts using OpenAI vision. Sends the receipt text to OpenAI to extract receipt_date, merchant, amount, currency, and a category chosen only from your predefined category list. Appends one cleaned expense row to Google Sheets with the extracted fields plus a processed timestamp, Gmail message ID, and the original email subject. For the monthly run, reads the full Google Sheets ledger, totals last month’s expenses by category, and emails the summary to you via Gmail. Setup Connect Gmail credentials for the Gmail Trigger and for sending the monthly summary email.
Save Amazon reviews to Notion with ScraperAPI and OpenAI GPT-5 Mini
Quick Overview This workflow runs every Monday to scrape recent Amazon product reviews via ScraperAPI, uses OpenAI to classify sentiment and feature tags, and then saves each new review into a Notion database with structured properties and a formatted page body. How it works Runs every Monday at 8am and loads a configured watchlist of Amazon ASINs plus Notion and locale settings. Fetches Amazon product data (including recent reviews) for each ASIN using ScraperAPI. Extracts reviews from each response and only forwards reviews that have not been seen in previous runs, capped per ASIN. Sends each new review to OpenAI to return a JSON sentiment label, 1–4 feature tags, and a one-sentence summary. Normalizes the AI output, clips long review text to fit Notion limits, and converts the review date into an ISO date. Creates a new page in the target Notion database for each review, filling properties like Sentiment, Stars, Feature tags, Product, Review date, and metadata. Setup Add ScraperAPI credentials and ensure the ScraperAPI Amazon Product (SDE) endpoint is available for your account. Add Notion API credentials, share the target database with your Notion integration, and copy the data
Turn customer emails into FAQ drafts with Gmail, Gemini, Docs and Sheets
Quick overview This workflow monitors customer-support emails in Gmail, uses Google Gemini to extract FAQ-ready questions and draft answers, logs every candidate to Google Sheets, and routes strong candidates to a Google Docs draft while sending unclear or sensitive messages to a Gmail draft for manual review. How it works Triggers every 5 minutes when Gmail finds new messages matching the configured support-style search query. Cleans and normalizes the email metadata and body text to remove signatures and quoted replies. Sends the normalized email content to Google Gemini to extract the customer question, category, urgency, FAQ value score, draft answer, and a recommended action as structured JSON. Logs the extracted FAQ candidate details (including score, tags, and sensitivity flags) to a Google Sheets tab for tracking. Creates a Google Docs FAQ draft and inserts the generated draft content when the candidate meets the score threshold or is marked as reusable. Creates a Gmail draft to the reviewer with the Google Docs link for high-value candidates, or a separate Gmail draft containing review notes for sensitive or unclear emails. Setup Connect credentials for Gmail, Google Gemin
Validate startup ideas and generate business plans from Telegram with Perplexity and GPT-4o
Quick overview This workflow receives startup ideas via a Telegram bot, uses OpenAI (GPT-4o and GPT-4o mini) plus Perplexity to score, research, and validate them, then generates a full business plan in Google Docs, logs key results to Google Sheets, and returns the plan link in Telegram. How it works Receives a Telegram message containing a raw startup idea. Uses OpenAI (GPT-4o mini) to structure the idea, detect its language, and assign an initial 1–10 idea score with improvement feedback. If the idea score is below the configured threshold, sends the score reasoning back to Telegram and stops. If the score meets the threshold, asks in Telegram for approval to run full research and plan generation. After approval, uses Perplexity to research the target market and competitors and then uses OpenAI (GPT-4o) to structure the findings, score market and competition, and generate differentiation and moat notes. Uses OpenAI (GPT-4o mini) to validate demand, risks, and go-to-market approach, then computes a composite score and recommendation. Uses OpenAI (GPT-4o) to write a full business plan, saves it to a Google Doc, appends a summary row to Google Sheets, and sends the Google Doc link
Translate YouTube video metadata into multiple languages with OpenAI
Quick overview This workflow fetches a YouTube video’s title and description, uses OpenAI to translate them into multiple target languages, and updates the video’s YouTube localizations via the YouTube Data API, returning a YouTube Studio link to review the translations. How it works Runs manually when you execute the workflow. Reads the configured YouTube video ID, default language, target languages, and OpenAI model. Fetches the video’s current metadata (including existing localizations) from YouTube. Removes the default language from the target language list and prepares the language-code keys required for the translation output. Sends the title and description to OpenAI and parses the response as structured JSON with a translated title and description per language code. Updates the video on YouTube by writing the translated metadata into the video’s localizations via a single YouTube API request. Outputs a YouTube Studio translations URL so you can review the updated localizations. Setup Add YouTube OAuth2 credentials with permission to edit videos on the target channel. Add an OpenAI API key credential and choose a model name in the configuration. Set the video_id, default_lan
Answer support FAQs with Google Gemini, Supabase, Google Sheets and WhatsApp
Quick overview This workflow ingests FAQs from Google Sheets into a Supabase vector table using Google Gemini embeddings, then serves a webhook-based support chatbot that answers only from that FAQ knowledge base and escalates unanswered questions to a human via UltraMsg WhatsApp. How it works Runs manually to pull FAQ rows (Question/Answer) from a Google Sheets spreadsheet. Formats each row into a single text document (for example, Q: … A: …), generates embeddings with Google Gemini, and inserts the documents into a Supabase vector store table. Receives incoming chat messages via a POST webhook that includes message and sessionId. Uses a Google Gemini chat model with session-based memory to query the Supabase vector store for the most relevant FAQ matches and generates a reply strictly from the retrieved content. If the agent output indicates escalation to a human, sends the full message content to UltraMsg via an HTTP request to alert a WhatsApp number. Returns a JSON response to the webhook caller with either the FAQ-based answer or a confirmation that a human agent has been notified. Setup Add credentials for Google Gemini (PaLM) API, Supabase, and Google Sheets OAuth2. In Supa
Coach fitness and nutrition on Telegram with Claude, Google Sheets and Calendar
Quick overview This workflow turns a Telegram bot into a fitness and nutrition coach powered by Anthropic Claude, with voice-note transcription via OpenAI, user data stored in Google Sheets, and optional workout scheduling in Google Calendar. How it works Triggers when a new Telegram message arrives in your bot chat. If the message is a voice note, it downloads the audio from Telegram and transcribes it with OpenAI. Normalizes the incoming text or transcript into common fields (message, chat ID, and current date). Uses an Anthropic Claude agent with session memory to interpret the request and generate a coaching response. When needed, the agent reads and updates the user profile, logs workouts, logs meals with estimated macros, and reads/saves weekly plans in Google Sheets. When the user asks to schedule training, it creates a workout event in Google Calendar. Sends the coach’s reply back to the user in Telegram. Setup Add Telegram bot credentials (BotFather token) for receiving messages, downloading voice notes, and sending replies. Add an OpenAI API credential for audio transcription and an Anthropic credential for the Claude chat model. Add Google Sheets OAuth2 credentials and s
WMonitor new template releases with OpenAI and log insights to Telegram and Google Sheets
Quick overview This workflow runs daily to check the public n8n Templates API for newly published templates in a chosen category, generates improvement suggestions with OpenAI, logs each new template to Google Sheets, and sends a Telegram digest (with an optional all-clear message when nothing new is found). How it works Runs every day at 9 AM on a schedule. Fetches the latest templates for the configured category from the n8n Templates API. Extracts key metadata for each template and compares template IDs against a stored “seen” list to detect newly published items. For each new template, sends its details to an OpenAI chat model to generate 4–6 business-focused improvement tips. Appends one row per new template (including the AI tips and metadata) to a Google Sheets spreadsheet. Builds a combined digest of all new templates and posts it to a Telegram chat, or sends an optional all-clear message when no new templates are found. Setup Add an OpenAI API credential and select the model to use for the analysis. Add a Google Sheets OAuth credential, then choose the target spreadsheet and sheet tab and ensure the header columns match the fields being appended. Add a Telegram bot credent
Qualify WhatsApp real estate leads with Gemini and Supabase
Quick overview This workflow triggers on incoming WhatsApp messages, uses Google Gemini to extract and score real estate lead details, stores each lead in Supabase, and sends a WhatsApp alert to the agent only for high-intent inquiries based on configurable score thresholds. How it works Triggers when a new WhatsApp message is received via the WhatsApp Business Cloud API. Pulls the sender name, phone number, and message text and applies your configured scoring thresholds and agent contact number. Sends the message to Google Gemini to extract structured lead details (budget range, property type, location preference, timeline, and intent score). Inserts the extracted lead data into a Supabase leads table for tracking. Routes the lead based on the intent score and sends a formatted WhatsApp message to the agent for high-intent leads. Leaves medium- and low-intent leads logged in Supabase without sending an agent alert. Setup Connect WhatsApp Business Cloud API credentials for both the incoming-message trigger and the WhatsApp send action, and activate the workflow to generate the webhook for your WhatsApp app. Add a Google Gemini (PaLM) API credential for the Gemini chat model. Add a
CDHandle LinkedIn inbox RAG replies with Unipile, Claude, Pinecone, and Airtable
Quick overview Automatically ingest your knowledge base, monitor your LinkedIn company page inbox, and reply to leads and customers with AI-drafted, source-grounded answers. Classifies every message, checks for spam, drafts replies using Claude and Pinecone RAG, and lets you auto-send or review each reply in Airtable. How it works A Google Drive trigger watches a folder for new or updated documents, downloading each file automatically as it's added. Each document is split into chunks, embedded, and upserted into a Pinecone vector index, building a searchable company knowledge base. A webhook receives every new LinkedIn message sent to your company page via Unipile, filtering out messages you sent yourself. The last few messages in the conversation are fetched and formatted into a chronological transcript for context. An AI agent classifies the message's intent (lead, support, partnership, recruiting, spam, or other) using shared conversation memory. A second AI agent drafts a reply, searching the Pinecone knowledge base for relevant facts before answering, and saves the draft to Airtable. Depending on a configurable auto-send toggle, the reply is sent immediately via Unipile, or he
Generate branded social captions and images with OpenAI and PostFast
Quick Overview This workflow runs three times a week to generate a branded social caption and AI image with OpenAI, then uploads the image via PostFast pre-signed URLs and schedules the post across selected connected social accounts. How it works Runs on a schedule every Monday, Wednesday, and Friday at 7am. Loads the brand name, image style, topic list, and a platform filter used for the current run. Fetches connected social media accounts from PostFast and keeps only accounts that match the selected platforms. Uses OpenAI (gpt-4o-mini) to generate a JSON response containing a caption and a matching image prompt. Requests pre-signed PostFast upload URLs (one per target account) and uses OpenAI (gpt-image-1) to render a 1024×1024 PNG image. Uploads the image to the provided S3 URLs and schedules a PostFast post per account with the caption and the corresponding uploaded media key for one hour later. Setup Install and enable the verified PostFast community node (n8n-nodes-postfast) and add your PostFast API key credentials. Add your OpenAI credentials for both the text generation (gpt-4o-mini) and image generation (gpt-image-1) steps. Update the brand name, image style, topic list,
Triage support tickets with OpenRouter (OpenAI o3-mini) and ClickUp
Quick overview This workflow collects support tickets via an n8n form, uses OpenRouter (OpenAI o3-mini) to assess priority, severity, impact, and suggested diagnostics, and then creates a formatted task in ClickUp with the AI-generated incident details. How it works Receives a new ticket submission through an n8n form with subject, description, company, name, and email. Normalizes the submitted fields into a consistent ticket payload (customer name/email, subject, and description). Validates that the ticket has a description and that the email address contains an “@” symbol. Sends the ticket subject and description to OpenRouter (OpenAI o3-mini) to generate incident metadata, priority (1–4), impact, severity, affected service, and recommended diagnostics and next steps in structured JSON. Creates a new task in ClickUp using the ticket subject as the task name and adding the customer details plus the AI assessment and recommendations to the task description. Setup Create or select an n8n Form Trigger and share the form URL with users who should be able to submit tickets (configure any access restrictions as needed). Add an OpenRouter credential to the OpenRouter chat model node and
Create AI music videos from a prompt with OpenAI, Kie.ai and BeatAPI
Quick overview This workflow collects a music video theme via an n8n form, uses OpenAI to generate music, image, and video prompts, then calls Kie to create an instrumental track and a Nano Banana image, and finally uses BeatAPI to render a publish-ready AI music video. How it works Receives a submission from an n8n Form Trigger with inputs like theme, genre, mood, duration, aspect ratio, and quality. Uses OpenAI (via an AI Agent with a structured output schema) to generate a Suno-style music prompt, an image prompt, a BeatAPI music-video prompt, and YouTube metadata. Sends the generated music prompt and settings to Kie to start audio generation, then polls Kie until the track is ready and validates the duration is within 10–180 seconds. Sends the generated image prompt to Kie (Nano Banana model) to create key art, then polls Kie until an image URL is returned. Creates a BeatAPI AI music video task using the generated audio URL, one or two image URLs (generated image plus optional cover image), and the BeatAPI prompt, then polls BeatAPI until the render succeeds. Returns the final video URL along with YouTube-ready title, description, tags, and provider task IDs in a single publish
Protect Gmail AI email workflows from prompt injection with Gemini and Sheets
Quick overview This workflow monitors Gmail for new support-style emails, scans them for prompt-injection signals, and only then sends safe messages to Google Gemini for structured triage. It logs outcomes to Google Sheets and creates Gmail drafts either for a safe reply or for manual human review. How it works Triggers every 5 minutes when a new Gmail message matches the configured query filter. Normalizes the email metadata and cleans the body text to create a consistent input for safety checks. Scores the email for prompt-injection risk using keyword and pattern matching and labels it as safe, review, or high risk. If the email is high risk, it skips Google Gemini, logs the event to Google Sheets, and creates a Gmail draft to request manual review. If the email is safe or review-level, it sends the email (wrapped as untrusted content) to Google Gemini to return a strict JSON triage including summary, intent, requested action, and a safe reply draft. Logs the Gemini results and final safety status to Google Sheets, then creates either a Gmail reply draft to the sender or a Gmail draft for the reviewer when human review is required. Setup Add credentials for Gmail, Google Gemini,
Track asset warranty deadlines with Google Sheets, Gmail, Todoist, Slack, and OpenAI
Quick overview This workflow runs daily to read an asset register from Google Sheets, calculate warranty expiry dates, and escalate upcoming deadlines via Gmail, Slack, and Todoist, while using OpenAI to draft vendor negotiation emails for high-value assets and updating expired items back in the sheet. How it works Runs every day at 08:30. Reads all assets from a Google Sheets register and calculates each item’s warranty expiry date and days remaining from the purchase date and warranty months. For already-expired assets, updates the Google Sheets register to set the status to “warranty expired.” For assets expiring within 7 days, posts an urgent Slack message and creates a Todoist task due on the warranty expiry date. For assets expiring within 30 days, emails the asset owner via Gmail asking them to choose whether to extend, replace, or let the warranty lapse. For 30-day warnings where the asset value is at least 2000, uses OpenAI to draft a vendor warranty-extension negotiation email and saves it as a Gmail draft for review. Setup Create a Google Sheets asset register with columns for asset, owner_email, purchase_date, warranty_months, vendor, value, and status. Add credentials
Send daily AI-personalized cold emails with Google Places and OpenAI
Quick overview This workflow runs every morning to find local businesses via Google Places, pulls their website content to extract an email address, uses OpenAI to draft a personalised automation-focused outreach message, then sends it via SMTP while tracking contacts in an n8n Data Table. How it works Runs daily at 9:00 and sets the campaign parameters (rotating niche and city, sender details, daily send cap, and delay between emails). Searches Google Places for businesses matching the selected niche and location, then iterates through each returned place. Keeps only businesses with a website, fetches the website HTML, and extracts a likely contact email address plus a short text snippet. Filters out leads without an email and skips any email address already logged in the n8n Data Table. Limits the run to the configured daily cap and processes leads in batches. Uses OpenAI to generate a structured subject and body for a personalised cold email based on the business snippet and your campaign details. Sends the email via SMTP with your signature and unsubscribe note, logs the contact in the Data Table, and waits the configured delay before sending the next email. Setup Add credentia
Create talking avatar TikTok videos with Seedance, OpenAI and Blotato
Quick overview This workflow generates a talking-avatar video from a portrait image using AtlasCloud Seedance 2.0, creates a TikTok-ready title with OpenAI, and publishes the resulting video to TikTok via Blotato. How it works Starts when you manually execute the workflow in n8n. Sends the image URL, script prompt, and video settings to AtlasCloud Seedance 2.0 to generate an image-to-video talking avatar. Waits for a configured interval and polls AtlasCloud for the generation status until it returns completed/succeeded. Extracts the generated video URL from the AtlasCloud response. Uses OpenAI to produce a single TikTok title (under 60 characters) based on the provided script prompt. Uploads the video to TikTok through Blotato using the generated title and the selected privacy level, marking the post as AI-generated. Setup Create an AtlasCloud API key and add it as an HTTP Header Auth credential, then select it in both AtlasCloud HTTP Request steps. Add an OpenAI API credential and ensure the OpenAI chat model is selected for the title-generation step. Add a Blotato API credential, connect your TikTok account in Blotato, and select the correct TikTok account in the publishing step.
Create Seedance 2 image-to-video clips for TikTok and YouTube with OpenAI
Quick overview This workflow listens for a Telegram photo message, uploads the image to AtlasCloud to generate a Seedance 2.0 image-to-video clip, uses OpenAI to create a short SEO title, then publishes the video to YouTube and TikTok via Blotato and sends a confirmation back to Telegram. How it works Receives a Telegram message containing an image and uses the caption as the video prompt. Uploads the image to AtlasCloud and starts a ByteDance Seedance 2.0 image-to-video generation job with the configured duration, resolution, aspect ratio, and FPS. Polls AtlasCloud at a set interval until the generation status is completed or succeeded. Sends the prompt to OpenAI to generate a single short, optimized title for the video. Publishes the rendered video URL to YouTube through Blotato using the generated title. Publishes the same video to TikTok through Blotato and sends a Telegram message with the title and video link. Setup Connect a Telegram bot credential and send photos with captions to the bot to trigger the workflow. Create an AtlasCloud API header-auth credential (Authorization: Bearer ) and select it in the AtlasCloud upload, generate, and status HTTP requests. Add an OpenAI A
WSummarize Telegram-shared webpages with OpenAI GPT-4o
Quick overview This workflow listens for Telegram messages containing a URL, fetches and cleans the webpage content, summarizes it with an OpenAI chat model, and replies in the same Telegram chat with a formatted summary including key points and action items. How it works Triggers when a new Telegram message is received by your bot. Extracts the first http/https URL from the message text and captures the sender’s chat ID. If no valid URL is found, sends an error message back to the same Telegram chat. If a valid URL is found, fetches the webpage HTML and extracts the title and cleaned body text while removing common boilerplate elements. Truncates the extracted text to a configurable maximum length and sends the title, URL, and text to OpenAI to generate a structured JSON summary. Formats the JSON into Telegram HTML (title, source link, summary, key points, and insights/action items) and sends it back to the original chat. Setup Create a Telegram bot and add a Telegram API credential in n8n, then select it in both the Telegram Trigger and the send-message steps. Add an OpenAI API credential in n8n and select it for the OpenAI chat model used for summarization. Activate the workflow
Triage network read and commit requests with Slack, Anthropic, and pyATS
Quick overview This Slack ChatOps workflow uses AI agents and a pyATS MCP server to handle day-to-day data network housekeeping tasks: from on-demand checks and validations per device, to configuration change proposals that require human approval before commit. Read the docs here: https://cs.co/9004BEMGZm How it works A network engineer mentions the Slack bot in a channel or thread. The workflow acknowledges the request and captures the full message The request is sent to a Planning Agent connected to pyATS through read-only MCP tools. The agent determines whether the user wants operational data or a configuration change, gathers live device evidence if needed, and evaluates whether the request is safe. If the request is operational only, or if the proposed change is unsafe, the workflow replies in the same Slack thread with a clear technical summary, including the relevant device findings or the reason why no change will be made. If the request is a safe configuration change, the workflow creates one approval card per target device. Each card shows the proposed change, the pre-check evidence collected from the device, and the safety rationale so the engineer can review exactly wha