Code workflow'ları
445 sonuç — tümü kaynağa bağlı n8n referansı
Generate personalized cold email drafts from Google Sheets with Groq and Tavily
Quick overview This scheduled workflow reads leads from Google Sheets, researches each company with Tavily Search, uses Groq (Llama 3.3 70B) to generate a short personalized cold email, and saves the result as a Gmail draft while updating the lead status back in the sheet. How it works Runs on an hourly schedule trigger. Reads lead rows from Google Sheets and keeps only rows that have an email address and are not marked with status "sent". Processes leads one at a time and uses the Tavily Search API to fetch a brief company overview based on the lead’s company name. Sends the lead details plus the Tavily research summary to Groq (Llama 3.3 70B) to generate a JSON-formatted email subject, body, and personalization hook. Parses and validates the AI output to ensure a subject and body are present, and routes failures to an error log. Creates a Gmail draft with the generated subject and body, updates the corresponding row in Google Sheets with the new status and generated fields, and waits briefly before continuing to the next lead. Setup Create and connect a Google Sheets OAuth2 credential, then select the target spreadsheet and sheet in both the Google Sheets read and update steps. C
Nurture leads from Google Sheets with Gmail, SMS, and OpenRouter AI
Quick overview Automatically nurture leads with AI-personalized email follow-ups (plus optional SMS) across 3 stages triggered hourly, respecting business hours, and fully tracked in Google Sheets. How it works Runs every hour, filtered to a business-hours window (default 9am–6pm, timezone configurable). Reads all leads from Google Sheets and filters those due for follow-up skipping replies, unsubscribes, and completed leads. Routes by stage Stage 1 (Welcome), Stage 2 (Check-in), or Stage 3 (Final nudge). AI writes the email an LLM (via OpenRouter) generates a personalized subject + body using the lead's name, source, and service of interest. Sends via Gmail, and optionally an SMS via Seven/Twilio (Day 1 and Day 4, with consent and dedupe checks). Updates Google Sheets advances the lead's stage, sets the next follow-up timestamp, and marks SMS sent. Setup Import all 4 workflows they share one Google Sheet. Paste your Sheet ID/tab name into each 🔧 CONFIG node (same Sheet ID throughout). Connect Google Sheets, Gmail, and OpenRouter credentials. Edit the 3 LLM prompt nodes to replace "YOUR NAME/company" with your actual brand name. (Optional) Connect Seven/Twilio for SMS, and adjust
Classify Salesforce deal complexity and notify sales with Groq and Slack
Quick overview This workflow monitors new Salesforce opportunities, enriches them with related contacts and products, uses Groq-hosted LLM analysis to classify deal complexity, then updates Salesforce with a processed flag, creates a follow-up task, and posts the outcome to a Slack channel. How it works Triggers when a new Opportunity is created in Salesforce. Retrieves Opportunity details and checks whether the opportunity has already been marked as processed. If it is already processed, posts a “no new opportunities” message to a Slack channel. If it is unprocessed, fetches related Salesforce Contacts for the Opportunity’s Account and OpportunityLineItem records for the Opportunity. Calculates simple deal metrics (stakeholder count, product count, and total product value) and sends them with Opportunity fields to a Groq LLM to classify complexity as Low/Medium/High with reasons and suggested actions. Parses the LLM’s JSON response, marks the Opportunity as Processed__c = true in Salesforce, creates a Salesforce Task containing the classification details, and sends a success notification to Slack. Setup Add Salesforce OAuth2 credentials and ensure your Opportunity object includes
WScore customer health and churn risk with Salesforce, Gemini, and Gmail
Quick Overview This workflow runs every minute to pull accounts from Salesforce, enrich each customer with order, payment, support, and marketing data via HTTP APIs, analyze the combined profile with Google Gemini, then update the Salesforce account and send Gmail alerts for high-risk customers and execution outcomes. How it works Runs every minute on a schedule and retrieves up to five Salesforce Account records. Processes accounts in batches and initializes a retry counter to control fault-tolerant data fetching. Fetches customer order data via an HTTP API, retrying up to three times with a wait delay and falling back to a backup HTTP endpoint if needed. Fetches payments, support tickets, and marketing engagement for the same customer via HTTP API requests and normalizes everything into a single customer profile. Sends the unified customer profile to Google Gemini to generate a JSON assessment with health score, churn risk, customer type, a summary, and a recommended action. Parses the AI output and emails a high-risk alert via Gmail when the churn risk equals HIGH. Routes by customer type, updates the Salesforce Account description with the AI summary, then logs the result and e
Send prioritized forex risk alerts from ForexLive RSS with OpenAI and Slack
Quick Overview This workflow polls the ForexLive RSS feed every five minutes, filters for forex-relevant headlines, uses OpenAI to generate structured risk analysis, deduplicates items in an n8n Data Table, and sends high-priority alerts to a Slack channel. How it works Polls the ForexLive RSS feed on a */5 * * * * schedule and ingests newly published items. Normalizes each RSS item into consistent fields (title, description, link, and date) and checks the text for predefined forex and macroeconomic keywords. For relevant items, sends the title and description to OpenAI (GPT-4.1-mini) to return a strict JSON risk assessment including summary, impacted currency pairs, risk level, confidence score, and recommended action. Parses the OpenAI JSON response, merges it back with the original news data, and computes a final risk score, priority level, and a normalized deduplication key. Checks an n8n Data Table for the dedupe key and only continues when the item has not been seen before. Stores the processed item in the n8n Data Table and posts a formatted Slack message when the computed priority is HIGH. Setup Add OpenAI credentials and ensure the OpenAI node is set to a model you have ac
Generate Salesforce opportunity next steps with Gemini and Slack
Quick Overview This workflow runs daily at 10:00 AM to find open Salesforce Opportunities with no Next Step, generates a recommended next action with Google Gemini, posts it to Slack, and updates the Opportunity’s Next Step field back in Salesforce. How it works Runs every day at 10:00 AM on a schedule trigger. Fetches all Salesforce Opportunities, reverses the list, and processes them in batches of 10. Retrieves key fields, filters to opportunities that are not Closed Won/Lost, have a close date on/after today, and have a blank Next Step. Builds a per-opportunity prompt containing the main deal details for an AI sales assistant. Processes opportunities one at a time and uses Google Gemini to generate a 1–2 sentence next-step recommendation. Posts the AI-generated recommendation to a specified Slack channel and updates the Opportunity’s Next Step field in Salesforce. Setup Connect Salesforce OAuth2 credentials with permission to read Opportunities and update the Opportunity Next Step field. Add Google Gemini (Google PaLM) API credentials for the Gemini chat model used by the agent. Add Slack credentials and select the channel where recommendations should be posted. Confirm your Sal
Run a hotel WhatsApp concierge using Google Gemini and Google Sheets
Quick overview Youtube Video: https://youtu.be/q2vPN9eub1o?si=lSo4c0kQMNQd_Aad This workflow acts as a WhatsApp hotel concierge that looks up guest profiles, reservations, and open service requests in Google Sheets, consults a Google Docs amenities guide, and uses Google Gemini with Redis memory to reply and optionally create or update reservations and service requests. How it works Triggers when a WhatsApp message is received and continues only if the incoming message contains text. Looks up the guest by WhatsApp number in a Google Sheets “Guest Details” spreadsheet and checks whether Do Not Disturb (DND) is enabled. If the guest is not in DND, fetches the guest’s reservations and any incomplete service requests from Google Sheets. Determines whether the guest is new, currently checked in (based on today’s date between check-in and check-out), and whether any requests are pending, then packages this context for the assistant. Uses Google Gemini with Redis chat memory to generate a WhatsApp-ready reply, calling a Google Docs amenities document when answering policy/pricing/amenity questions. When appropriate, the assistant writes back to Google Sheets to create or update guest prof
Send multi-carrier shipping quotes via WhatsApp with Gemini and ShipEngine
Quick overview Youtube Video: https://youtu.be/jIGBUW_1Sx0?si=BNXzk95soO0Nefan This workflow responds to incoming WhatsApp messages, validates the sender in HighLevel, uses Google Gemini with Redis memory to collect shipment details, fetches multi-carrier rates from ShipEngine, applies a commission markup, logs the quote to Google Sheets, and sends the best options back via WhatsApp. How it works Triggers when a new WhatsApp message is received. Looks up the sender’s phone number in HighLevel and stops outreach if the contact is marked Do Not Disturb. Uses a Google Gemini-powered agent with Redis chat memory to collect and confirm shipment details, creating the contact in HighLevel if needed or marking them DND if they opt out. If shipment data collection is complete, requests shipping rates from the ShipEngine Rates API for the configured carriers. Calculates a commission markup, filters for valid rates, and selects the cheapest and fastest options to format a quote message. Appends the quote text and metadata to a Google Sheets spreadsheet and sends the quote back to the customer via WhatsApp. Setup Connect WhatsApp Business credentials for both the WhatsApp trigger and send acti
Review Jira ticket quality with OpenRouter GPT and coaching comments
Quick overview This workflow triggers on new Jira Cloud issues (Story, Bug, or Task), uses OpenRouter (OpenAI model) to score ticket quality across five criteria, and posts an automated coaching comment back to Jira only when the ticket falls below a configurable threshold. How it works Triggers when a new Jira issue is created that matches the selected issue types (Story, Bug, Task). Sets a configurable quality score threshold used to decide whether the ticket needs feedback. Sends the ticket’s type, title, description, and reporter details to an OpenRouter-hosted OpenAI chat model to generate a structured quality evaluation JSON. Parses and validates the model response as JSON and extracts the normalized score, missing criteria, and coaching comment. Checks whether the normalized score is below the configured threshold. If the score is below threshold, adds a formatted coaching comment to the Jira issue; otherwise, it takes no action. Setup Add Jira Software Cloud credentials in n8n and ensure the Jira Trigger can receive issue-created events for your Jira Cloud site. Add an OpenRouter API credential for the OpenRouter chat model used to evaluate ticket quality. Set the SCORE_THR
Generate English–Polish vocabulary quizzes with Google Sheets and Groq
Quick overview Tool useful for any language exams. It is a chat-based workflow that uses Google Sheets in Structure English|your language that using free Groq model (Llama 3.3) generate lists of 10 words that you need to provide answer based on your while model helps How it works Receives a chat message as the trigger input. Checks whether the message contains the word “generate” to decide if it should create a new quiz set or continue the current session. When “generate” is included, reads vocabulary rows (English and your language columns) from a specified Google Sheets range. Randomly shuffles the rows, selects 10 pairs, and formats them as a clean list of {english, your-language} objects. Sends the user message and the selected word pairs to a Groq Llama 3.3 chat model that runs the quiz conversation. Uses a buffer memory window to keep recent chat context so the agent can track which words are answered and which still need guesses. Setup Connect Google Sheets OAuth credentials and set the correct spreadsheet URL, sheet name, and range that contains “English word” and “your language words” columns. Add Groq API credentials and confirm the selected model (llama-3.3-70b-versatile
Score LinkedIn leads in Google Sheets with Bright Data and Claude
Quick overview This workflow watches a Google Sheets leads sheet, enriches each new lead with LinkedIn person and company data from Bright Data, then uses Anthropic Claude to generate a 0–100 lead score and reason and updates the sheet status to HOT or DONE. How it works Triggers when a new row is added to a Google Sheets worksheet. Reads the leads from the sheet and iterates through the rows that match the configured Status filter. For each lead, uses Bright Data to fetch structured data from the lead’s LinkedIn person profile, then waits briefly to respect rate limits. Uses Bright Data to fetch structured data from the lead’s current company LinkedIn page, then waits briefly to respect rate limits. Sends the person and company details to Anthropic Claude to return a JSON score (0–100) and a one-sentence reason. Parses the JSON response, flags leads with scores ≥ 70 as HOT 🔥 and others as DONE, and writes the enriched fields (title, company, size, location, connections, score, reason) back to Google Sheets. Setup Connect Google Sheets OAuth credentials (Trigger and Google Sheets) and replace YOUR_GOOGLE_SHEET_ID with your spreadsheet ID. Add a Bright Data API credential and ensur
Monitor n8n security advisories from GitHub, NVD, JPCERT and JVN with Claude and Slack
Quick overview This workflow runs hourly to monitor n8n-related security information from GitHub Advisories, NVD (NIST) CVE data, GitHub n8n security release notes, and JPCERT/JVN RSS feeds, then summarizes new findings with Anthropic Claude and posts an alert to Slack. How it works Runs every hour on a schedule. Fetches the latest items from the GitHub Advisory API, the NVD CVE API, the n8n GitHub Releases Atom feed, and the JPCERT and JVN RSS feeds. Parses the XML feeds, normalizes all sources into a single list of n8n-related security items, and removes duplicates and previously notified items using stored IDs. Checks whether any new items were found and stops if there are none. Sends the new items to Anthropic Claude to generate a concise Japanese summary including importance, affected product, and urgency. Formats a Slack Block Kit message and posts the alert to the configured Slack channel. Saves the notified item IDs to workflow static data to prevent repeat notifications in future runs. Setup Create an NVD API key and add it as an HTTP Header Auth credential named (or mapped to) NVD_API_Key with header name apiKey. Add an Anthropic API credential for the Claude model used i
Create blog drafts, images, and LinkedIn posts with Tavily, Gemini, and OpenAI
Quick overview This workflow receives a blog request via webhook, researches the topic with Tavily, generates a long-form HTML article using Google Gemini, creates two images via the kie.ai API, stores assets in Google Drive, updates a Google Sheets tracker, and notifies a Slack user with links. How it works Receives a POST webhook request containing a Google Sheets row payload with an “AI Blog Title” and related metadata. Searches the web for supporting sources using Tavily and passes the research plus the title to Google Gemini to generate the full article as HTML. Converts the generated content to HTML, creates a temporary HTML file in Google Drive, downloads it to set the correct text/html MIME type, re-uploads it as the final Drive file, and deletes the temporary file. Sends the finished article to OpenAI to generate a short LinkedIn post, then updates the matching row in Google Sheets with a Done flag, the article folder/link value, and the LinkedIn post text. Creates a cover image and an in-article infographic by submitting two text-to-image jobs to the kie.ai API, polling until each job succeeds, downloading each resulting image, and uploading both images to Google Drive. W
Send weekly curated news newsletters with Bright Data, Claude, and Gmail
Quick overview This workflow runs every Monday to scrape Google News with Bright Data, fetch and clean the full text of the top five unique stories, generate an HTML newsletter with Anthropic Claude, and send it via Gmail. How it works Runs every Monday on a scheduled trigger. Uses Bright Data to scrape a Google News search results page for the configured topic. Filters out YouTube results, deduplicates by title, and keeps the top five stories. Loops through the five stories and uses Bright Data to scrape each article’s full content as Markdown. Cleans and truncates each article’s text to remove navigation, ads, images, and link clutter. Aggregates the five cleaned articles and sends them to Anthropic Claude to generate a single clean HTML newsletter. Sends the generated HTML newsletter to the configured recipient using Gmail. Setup Add a Bright Data credential and ensure your Web Unlocker zone (for example, n8n_unlocker) is available in your Bright Data account. Add an Anthropic API credential and select the Claude model you want to use. Add a Gmail OAuth2 credential and set the recipient email address, subject, and any desired email options. Update the Google News search URL (the
Analyze Instagram profiles with Apify, Google Gemini, and Supabase
Quick overview This workflow receives an Instagram username via webhook, checks Supabase for a recent cached analysis, and if needed scrapes recent posts with Apify and generates niche, content, and engagement insights using Google Gemini before storing and returning the report. How it works Receives a POST webhook request containing an Instagram username. Queries the Supabase reports table for matching records updated within the last 24 hours and returns the cached analysis_report if found. If no fresh cache exists, runs the Apify Instagram Scraper actor to fetch the latest 5 posts for the requested profile. Cleans and bundles the scraped post data into a compact JSON payload for analysis. Sends the payload to Google Gemini to generate three sub-reports: niche/frequency, content strategy, and engagement/actions. Combines the three Gemini outputs into a single analysis_report object along with the scraped data. Upserts the report into Supabase (update if the username exists, otherwise insert) and returns the fresh analysis_report in the webhook response. Setup Create or select a Supabase project, add Supabase credentials in n8n, and ensure a reports table exists with at least usern
Qualify open house leads and send AI follow-ups with Google Sheets and Gmail
Quick overview When a visitor signs in at your open house, this workflow instantly scores their buying intent using Gemini AI, sends a personalized follow-up email via Gmail, logs every visitor to Google Sheets, and alerts the agent for hot leads only. How it works A visitor signs in via your Google Form at the open house. Their details — name, email, phone, budget, timeline, and buying intent — are captured automatically. AI (Gemini) scores them as Hot, Warm, or Cold based on their responses and drafts a personalized follow-up email in the same step. A tailored thank-you and next-step email sends immediately via Gmail. Every visitor is logged to Google Sheets with their score, reasoning, and message sent. If a lead scores Hot, the agent receives an instant notification email — and optionally a Slack alert — so they can prioritize personal outreach right away. Setup Connect credentials for Google Sheets (trigger and append), Google Gemini (PaLM API), and Gmail (to send visitor follow-ups and agent notifications). Set the Google Sheets Trigger document and sheet to your sign-in responses sheet, and map the expected column headers (Full Name, Email Address, Phone Number, property, bu
Generate digital product launch content with OpenAI GPT-4o-mini and Google Sheets
Quick overview This workflow generates a multi-channel digital product launch content pack from product details, using OpenAI to create a blog intro, LinkedIn post, X post, Instagram caption, and launch email, and can optionally append the results to Google Sheets. How it works Runs manually when you execute the workflow. Loads sample product details such as name, tagline, price, URL, target audience, and brand tone. Sends the product details to OpenAI (GPT-4o-mini) with instructions to return a JSON content pack for blog, LinkedIn, X, Instagram, and email. Normalizes and validates the returned JSON, ensuring all five content fields are present and formatted as plain text. Optionally appends the generated content fields as a new row in Google Sheets (when the Google Sheets step is enabled). Setup Add an OpenAI API credential and select it in the OpenAI Chat Model configuration. Replace the sample product fields (especially productURL and brandTone) with your own product data or connect a real data source. (Optional) Enable the Google Sheets step, add Google Sheets OAuth2 credentials, and set the target spreadsheet ID and sheet name. Requirements n8n instance (cloud or self-hosted)
Monitor AI search visibility with Talordata SERP, OpenAI, and Google Sheets
Quick overview This workflow runs on demand to crawl Google SERP pages via Talordata, aggregates organic results and related searches, uses OpenAI to produce a structured AI Search Visibility report with GEO recommendations and a score, and appends or updates the results in Google Sheets. How it works Starts when you manually execute the workflow and sets the target query, search engine (Google), and initial page. Calls the Talordata MCP Search API to fetch the first SERP page, then extracts pagination metadata and builds a list of pages to crawl. Loops through each SERP page and requests additional results from Talordata using the corresponding page/start value. Normalizes each page into structured datasets for organic results and related searches, and aggregates all page data into a single consolidated SERP payload. Sends the consolidated SERP dataset to OpenAI to generate a structured AI Search Visibility report (metrics, domain categorization, opportunities, recommendations, executive summary, and score). Parses the model output into JSON and appends or updates a matching row in Google Sheets keyed by the SERP link. Setup Add a Talordata Bearer Auth credential and confirm acces
CScrape Tunisia IT job listings with Groq, Firecrawl, Airtable, and Resend
Quick overview This workflow runs daily or via chat to scrape Tunisia-focused IT job listings from predefined company career pages using Firecrawl, saves results into Airtable tables, and emails a daily digest through Resend, with job parsing and orchestration handled by a Groq-powered AI agent. How it works Triggers either on a daily 7AM schedule or when an n8n Chat message is received. On scheduled runs, rotates through a fixed list of companies, builds a prompt for the chosen company (including pagination rules), and sets the Airtable table name. Uses a Groq (Llama 3.3 70B) AI agent to decide which allowed career-page URLs to scrape and how to extract job listings into structured fields. Scrapes the requested career pages via the Firecrawl API and parses the returned main content into jobs with title, company, location, description, and URL. When saving is requested, uses Airtable’s API to check for the target table, create it if missing, and insert the job records. For scheduled runs, emails the AI-generated job digest to the configured recipient using the Resend API; otherwise it outputs the response for the chat session. Setup Add credentials and values for Firecrawl (API key
Create Google Tasks from Tactiq meeting transcripts using OpenAI and Telegram
Quick overview This workflow monitors a Google Drive folder for new Tactiq transcript files, uses OpenAI to extract explicit action items, creates matching Google Tasks, sends a Telegram notification, and logs each processed transcript in an n8n Data Table to prevent duplicate processing. How it works Triggers when a new file is created in a specified Google Drive folder (or on an optional 12-hour schedule). Loads previously processed transcript filenames from an n8n Data Table and lists files in the target Google Drive folder. Filters out files that have already been processed, then downloads each new transcript and converts it to plain text. Sends the transcript text to OpenAI to return strict JSON containing only explicit action items with an owner, optional due date, and an evidence quote. Creates a Google Task for each extracted action item, including source transcript details in the task notes, and sends a Telegram error message if task creation fails. Records the transcript as processed in the n8n Data Table (including zero-task transcripts) and sends a Telegram success message. Setup Add credentials for Google Drive, Google Tasks, OpenAI, and Telegram. Create or choose an n
Run a multi-agent research and publishing pipeline with GPT-4o, Tavily and Notion
Quick overview Three specialized AI agents: Researcher, Writer, and Reviewer, collaborate autonomously to research a topic, draft content, and quality-check it through a self-correcting review loop with a circuit breaker. Approved content is published directly to Notion with full audit metadata. How it works A form submission captures the research topic, content format (blog post, exec summary, or LinkedIn post), target audience, and maximum revision cycles allowed before the circuit breaker fires. The Researcher Agent uses GPT-4o and Tavily Search to gather authoritative sources, extract key facts and contradictions, and produce a validated research brief. Search depth and result count are automatically scaled to the requested format. The Writer Agent receives the research brief and produces a structured draft in the correct format. On revision cycles it also receives the Reviewer's specific rejection notes and must address them directly. A Circuit Breaker sits between the Writer and Reviewer. If the number of Reviewer rejections reaches the user-defined maximum, the draft is force-approved and the pipeline proceeds to publishing without another LLM call. The Reviewer Agent evalua
Route rental payment and receipt messages with Telegram and OpenAI GPT-4.1
Quick overview This demo workflow listens for Telegram rental messages, routes receipt-related commands, uses OpenAI to classify payments, costs, and booking summaries, then replies with parsed details and a sample receipt flow. How it works Triggers when a new Telegram message is received. Routes the message into one of four paths: full /receipt command, receipt request, receipt date reply, or general rental tracking. If a full /receipt command is provided, it parses client, property, stay dates, amount, and transaction details and replies in Telegram with the extracted fields. If the user sends a receipt request, it looks up the last saved payment for that Telegram chat and either prompts the user for stay dates or returns an error if no payment is stored. If the user replies with stay dates during a pending receipt flow, it combines those dates with the stored payment to build receipt details and replies with either a “ready to generate” summary or an error message. For all other messages, it sends the text to OpenAI to classify it as payment, cost, or booking summary, normalizes the JSON result, and replies in Telegram with the parsed output. When a payment is detected, it extr
Review workflow JSON for risks and best practices with Groq (Llama 3.3)
Quick overview This workflow exposes a webhook that accepts an exported n8n workflow JSON, runs static validation and risk checks, then uses Groq (Llama 3.3 70B) via an AI agent to return a structured JSON review with metrics, risks, and best-practice recommendations. How it works Receives a POST request via a webhook containing a workflow object with exported n8n workflow JSON. Validates the payload structure and analyzes the workflow to generate metrics and findings such as orphan nodes, dead ends, missing error handling, placeholder credentials, deprecated nodes, and documentation gaps. Routes valid analyses to a Groq-powered AI agent that explains each finding (why it matters, risk, business impact, and best-practice fix) and formats the response as structured JSON. Routes invalid or malformed inputs to a formatter that returns a consistent { success: false, error } JSON response. Responds to the original webhook request with the final JSON analysis. Setup Add a Groq API credential in the Groq Chat Model node. You can generate a free API key at console.groq.com if you don't have one yet. Activate the workflow and copy the webhook URL from the Webhook trigger. This is the endpoi
Generate workflow audit docs from JSON with Claude Sonnet and Notion
Quick overview This workflow collects an exported n8n workflow JSON via an n8n Form, audits it for common reliability and security issues, uses Anthropic Claude to draft a business summary and technical report, and then creates a formatted documentation page in Notion. How it works Receives a form submission with a workflow JSON file, client name, and a Notion parent page ID. Parses and validates the uploaded JSON to confirm it contains nodes and connections and extracts the workflow metadata. Analyzes the workflow graph to determine execution order, detect cycles and unreachable nodes, and generate a scored list of audit findings. Sends the audit context to Anthropic Claude (Sonnet) to generate a business-facing workflow summary and a developer-facing audit report. Converts the generated text into Notion blocks, including an audit score callout and optional warnings for cycles or unreachable nodes. Creates a new Notion page under the provided parent page and appends the blocks in batches with a short wait to avoid Notion rate limits. Setup Import the workflow and connect your Anthropic account credential to the Claude Sonnet node. No additional configuration is needed on the Anthr