Go beyond basic AI-generated text and create articles that are well-researched, comprehensive, and credible. This template automates an advanced content creation process that mimics a professional writing team: it plans, researches, and then writes. Instead of just giving an AI a topic, this workflow first uses an AI "planner" to break the topic down into logical sub-questions. Then, it deploys an AI "researcher" powered by Linkup to search the web for relevant insights and sources for each question. Finally, this complete, sourced research brief is handed to a powerful AI "writer" to compose a high-quality article, complete with hyperlinks back to the original sources. Who is this for? Content marketers & SEO specialists:** Scale the production of well-researched, link-rich articles that are built for authority and performance. Bloggers & thought leaders:** Quickly generate high-quality first drafts on any topic, complete with a list of sources for easy fact-checking and validation. Marketing agencies:** Dramatically improve your content turnaround time by automating the entire research and first-draft process for clients. What problem does this solve?
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OpenAI Chat Model
Structured Output ParserRelated workflows
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BForce AI to use a specific output format
This workflow is for anyone looking to automatically fetch, validate, and parse complex language-based queries into a structured format. Its unique capability lies in not only processing language but also fixing invalid outputs before structuring them. Note that to use this template, you need to be on n8n version 1.19.4 or later.
Verify Japanese invoice registration numbers from Gmail using Gemini, NTA API, Sheets and Slack
Quick Overview This workflow monitors Gmail for unread invoice emails with PDF attachments, extracts invoice details with Google Gemini, verifies Japanese qualified invoice registration numbers against the National Tax Agency (NTA) Invoice Web-API, logs results to Google Sheets, and sends Slack alerts for invalid, missing, or inconclusive checks. How it works Polls Gmail hourly for unread emails matching “has:attachment invoice” and downloads the first attachment. Extracts text from the attached invoice PDF. Uses Google Gemini to parse the invoice text into structured fields such as the T-registration number, issuer name, invoice date, and amounts. Normalizes and validates the registration number to ensure it matches the required “T + 13 digits” format. If the format is valid, calls the NTA Invoice Web-API to verify the registration number and interprets the response as valid, invalid, or not found. Appends the invoice details and verification status to a Google Sheets worksheet. Routes the outcome by sending the appropriate Slack alert for invalid/not found/inconclusive results or marking the invoice email as read when the number is valid. Setup Connect your Gmail OAuth2 credentia
Route urgent Gmail support emails and WhatsApp digests with Groq and Supabase
Quick overview This workflow monitors a Gmail inbox, uses Groq LLM classification to label each support email as urgent, routine, or spam, logs the result to Supabase, sends immediate WhatsApp alerts for urgent messages, and delivers a daily WhatsApp digest summarizing routine emails. How it works Triggers every minute when a new email arrives in Gmail. Uses Groq (via an LLM prompt) to classify the email as urgent, routine, or spam and generate a one-sentence summary and reason. Inserts the email metadata, category, and summary into a Supabase table for tracking. Sends an immediate WhatsApp message to the support owner when the email is classified as urgent and updates the Supabase record to reflect it was notified. Runs on a daily schedule to fetch all routine emails in Supabase that have not yet been included in a digest. Aggregates those routine emails into a single WhatsApp digest message, sends it to the support owner, and marks the included Supabase records as digested. Setup Connect Gmail OAuth2 credentials and ensure the trigger watches the support inbox/labels you want monitored. Add Groq API credentials for the chat model used to classify and summarize emails. Add Supabas