Quick overview This workflow reads contacts from Google Sheets, uses Google Gemini to classify each contact’s job function and seniority from their job title and company name, and writes the Function, Seniority, and Confidence Score back to the same sheet. How it works Starts manually when you click Execute workflow. Reads rows from a specified Google Sheets worksheet and maps your column headers to the workflow’s expected fields. Keeps only contacts that have a Job Title and no existing Seniority value. Normalizes job titles and company names, deduplicates identical Job Title + Company pairs, and batches the unique combinations to save LLM tokens. Waits between batches to respect rate limits, then sends each batch to Google Gemini to return Function, Seniority, and a confidence score for every original row ID. Parses Gemini’s JSON response and updates the matching rows in Google Sheets with Function, Seniority, and Confidence Score. Setup Add Google Sheets OAuth credentials and set the Google Document ID and Sheet ID in the Global Settings values. Add a Google Gemini (PaLM) API credential for the Google Gemini node.
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Qualify Facebook lead ads and send follow-ups with Gemini, Gmail, and Sheets
Quick overview Turn every Facebook ad lead into a qualified, followed-up prospect within seconds. AI scores their intent, sends a personalized email tailored to their score, logs campaign intelligence to Google Sheets, and alerts you instantly to hot leads before they consider a competitor. How it works Receives a lead submission via an n8n webhook (or the disabled Facebook Lead Ads trigger). Extracts and normalizes contact details, qualification answers, and Facebook campaign metadata into a consistent lead record. Sends the lead details to Google Gemini to classify the lead as Hot/Warm/Cold and generate a personalized follow-up email. Parses and formats the AI output, falling back to a default email draft if the response cannot be parsed. If an email address is present, sends the AI-written follow-up email to the lead using Gmail. Appends the lead, AI score, reasoning, and campaign fields to a Google Sheets log. If the lead is scored Hot, notifies the agent via Gmail and Slack, then updates the Google Sheets row to mark the agent as notified. Setup Credentials needed: Add credentials for Google Gemini (PaLM/Gemini API), Gmail OAuth2, Google Sheets OAuth2, Slack OAuth2 (optional),
Monitor overtime risk against Japanese labour caps with Gemini, Sheets, Slack & Gmail
Quick Overview This workflow runs weekly to read attendance overtime from Google Sheets, totals it per employee and month, uses Google Gemini to classify risk against Japanese labour-law limits, writes results back to Sheets, and escalates high-risk cases via Slack and a Gmail draft. How it works Runs every week on a schedule. Loads configured Japanese overtime limits and fetches raw attendance rows from a Google Sheets “Attendance” worksheet. Aggregates overtime hours per employee per month. Sends each employee-month total to Google Gemini, which returns a structured risk level (over/approaching/ok) plus a short summary and recommended manager actions. Stores or updates the assessment in a Google Sheets “Overtime Status” worksheet keyed by employee and month. Posts to Slack when overtime is over the cap (and drafts a manager notice in Gmail), posts an early-warning Slack message when approaching the cap, and flags unclear or failed assessments to Slack for manual review. Setup Add credentials for Google Sheets OAuth, Google Gemini (PaLM) API, Slack OAuth2, and Gmail OAuth2. Create a Google Sheets spreadsheet with an “Attendance” sheet containing Employee (or Name), Month (or Date)
Monitor Japanese business partners for registry changes with gBizINFO and Gemini
Quick Overview This workflow runs weekly to check Japanese business partners listed in Google Sheets against the gBizINFO corporate registry API, uses Google Gemini to assess the risk impact of detected changes, updates the stored partner snapshot, and escalates findings to Slack and Gmail based on materiality. How it works Runs every week on a schedule. Reads the partner list (including corporate numbers and last-known name/address) from Google Sheets. Queries the gBizINFO corporate registry API for each partner and posts a Slack message if the lookup fails. Compares the latest registry data to the stored snapshot to detect name, address, or closure/dissolution changes and continues only when changes are found. Sends the detected changes to Google Gemini to classify materiality (high/medium/low) with a short summary and recommended action, and posts a Slack message if the assessment fails. Updates the Google Sheets partner snapshot with the latest registry details so the change is recorded. Routes by materiality to notify Slack (medium/other), and for high materiality also posts a Slack alert and creates a Gmail draft requesting a credit review. Setup Create a Google Sheets spread