Google Gemini Workflows

Gemini Image Generation Chain

On manual run, Gemini generates structured content and edits images, combining the results through an LLM chain.

Google Gemini + Gmail Dev Workflow — Email (SMTP)

On a new Strava activity, a Google Gemini agent reads Gmail context and dispatches updates via SMTP email and WhatsApp.

Strava Activity Multichannel Recap

On a new Strava activity, a Gemini agent writes a summary and sends it via Gmail, email, and WhatsApp.

Gemini Image Editor

On manual run, calls Google Gemini via an HTTP request and edits the resulting image.

FluxonLab-Bibliothekfree

Gemini Drive Image Extractor

Pulls and sorts files from Google Drive, edits images, and extracts structured information using Google Gemini.

Gemini Image Generation Chain

On manual run, Google Gemini generates structured output and edits images through an LLM chain.

Airtable with Google Gemini

On a chat message, a Google Gemini chain extracts structured fields and writes the parsed records into Airtable.

Gemini Chat Agent With API Calls

On a chat message, runs a Google Gemini agent with memory that calls an HTTP API and aggregates the results.

Telegram + OpenAI AI Workflow — Google Gemini

On a Telegram message, runs an OpenAI/Gemini agent with calculator and Wikipedia tools, logs to Airtable, and replies via Telegram.

Telegram + OpenAI AI Workflow — Airtable

On a Telegram message, runs an AI agent with Wikipedia and calculator tools, stores results in Airtable, and responds via Telegram.

Operasyon Finans Ve Backoffice & HTTP Request

On a form submission, OpenRouter, Anthropic, and Gemini agents process the request via HTTP and MCP tools and aggregate structured results.

FluxonLab-Bibliothekfree

Mini Muhasebe with Telegram & Google Sheets — Google Gemini

On a Telegram message, Google Gemini parses the entry, saves it to Google Sheets, archives files to Google Drive, and replies in Telegram.

Mini Muhasebe with Telegram & Google Sheets

On a Telegram message, an OpenAI and Gemini agent records accounting entries in Google Sheets and replies with a summary in Telegram.

Operasyon Finans Ve Backoffice with Schedule & HTTP Request

On a schedule, fetches data over HTTP, summarizes it with Google Gemini, logs to Google Sheets, and posts alerts to Slack.

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Run AI employee onboarding with Groq, Google Workspace, and Gemini

Quick overview This workflow ingests onboarding documents from Google Drive into an in-memory vector store with Google Gemini embeddings, then runs a multi-channel onboarding chatbot powered by Groq, sends role-based welcome emails via Gmail when a new hire appears in Google Sheets, and schedules day 1/7/30 check-in emails. How it works Manually runs an ingestion flow that lists files in a specified Google Drive folder, downloads them, extracts text, and indexes them into an in-memory vector store using Google Gemini embeddings. Receives employee questions via n8n Chat (and optionally Slack or Telegram), normalizes the message into a single format, and rejects empty or overly long inputs. Uses a Groq LLM agent with per-user session memory to retrieve relevant excerpts from the in-memory company_docs knowledge base and generate a grounded answer, or directs the user to HR when no relevant content is found. Routes the assistant’s response back to the originating channel (n8n Chat, and optionally Slack or Telegram). Triggers every minute on updates to a Google Sheets “Hires” sheet, validates rows marked as Hired, and skips hires already present in the “Tracking” sheet. Builds a depart

von Yash Kabra

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),

von Hassan

Classify lead function and seniority in Google Sheets with Google Gemini

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. Ensure your sheet has columns for #, Job Title, Company Name (rec

von Rishabh Patil

Archive and index legal PDFs from Gmail with Gemini, Sheets and Google Drive

Quick Overview This workflow monitors Gmail for unread emails with PDF attachments, uses Google Gemini to extract Japan Electronic Books Preservation Act filing metadata, logs a searchable index in Google Sheets, and archives documents into Google Drive folders while notifying Slack when extraction or classification fails. How it works Polls Gmail hourly for unread emails that contain attachments and downloads the attached files. Extracts text from the first PDF attachment. Sends the extracted text to Google Gemini to pull out transaction date, counterparty, amount, and document type, and alerts Slack if the document text cannot be read. Builds an Act-compliant PDF filename from the extracted fields and checks that date, counterparty, and amount are all present. If required metadata is missing, posts a warning to a Slack channel to handle the document manually. If metadata is complete, appends a row to a Google Sheets “Document Index”, marks the Gmail message as read to prevent reprocessing, and uploads the PDF to the matching Google Drive folder (invoice/receipt/contract) or flags it in Slack if unclassified. Setup Connect credentials for Gmail, Google Gemini (PaLM) API, Google Sh

Match Japanese jGrants subsidies to your company with Gemini, Slack and Gmail

Quick Overview This workflow runs weekly to search the public jGrants API for open Japanese subsidies, scores each subsidy’s fit for your company using Google Gemini, logs results to Google Sheets, and notifies a Slack channel (and drafts a Gmail kickoff email) for strong matches. How it works Runs weekly on a schedule and loads your company profile details (industry, headcount, prefecture, investment plan, and search keyword). Calls the public jGrants subsidies API to retrieve currently accepting programs sorted by newest first, and posts to Slack if the search fails. Processes each returned subsidy individually and asks Google Gemini to produce a fit score, verdict (strong/possible/no), reasons, next steps, and a short summary. Normalizes the Gemini response into consistent fields, and posts to Slack if scoring fails for a subsidy. Upserts each scored subsidy into a Google Sheets tracker (keyed by subsidy ID) to avoid duplicates across weekly runs. Routes results by verdict: sends a detailed Slack alert and creates a Gmail draft for strong matches, posts a lightweight Slack message for possible matches, and flags unclear verdicts in Slack. Setup Add credentials for Google Gemini

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

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)

Check Japanese ad copy compliance with Google Gemini, Sheets, Slack and Gmail

Quick Overview This workflow runs daily to review Japanese ad copy in Google Sheets using Google Gemini, writes compliance risk results back to the sheet, and alerts the right team in Slack (and drafts a Gmail revision request) based on high/medium/low risk. How it works Runs every day at 9:00 on a schedule. Reads ad copy rows from Google Sheets to find items that still need a compliance check. Sends each copy item to Google Gemini with the configured product category, target laws, and extra rules to generate a risk level, violations, and a compliant rewrite. Parses and normalizes the Gemini output into fields like risk level, violation count, and safe rewrite, and posts a Slack alert if the AI check fails. Updates the corresponding Google Sheets row with the compliance results to keep a record of the review. Routes the item by risk level and posts to Slack for legal blocking (high), marketing review (medium), publish-ready notification (low), or manual review when the result is inconclusive. For high-risk copy, also creates a Gmail draft requesting the author to revise the copy using the suggested compliant rewrite. Setup Add credentials for Google Sheets, Google Gemini (PaLM) API

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

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