Gmail workflow'ları
180 sonuç — tümü kaynağa bağlı n8n referansı
Evaluate vendor proposal PDFs with OpenAI, Gmail, and Google Sheets
Quick overview This workflow collects vendor proposal PDFs via an n8n Form, extracts text from the PDF, uses an OpenAI ChatGPT model to summarize and flag risks, logs the evaluation to Google Sheets, and sends an approval or review-needed notification through Gmail. How it works Receives a submission from an n8n Form with the submitter’s details, optional notes, and a vendor proposal PDF upload. Extracts text from the uploaded PDF and cleans/limits it to a safe length for AI evaluation. Sends the cleaned proposal text and submitter notes to an OpenAI ChatGPT model to return structured JSON with vendor details, summary, key points, and risks. Parses the AI response, formats key points and risks for readability, and flags the submission as “REVIEW NEEDED” when any risks are present. Appends the evaluation results to an “Evaluations” tab in Google Sheets with the decision, summary, and risk metadata. Sends a Gmail alert to the review team when risks are found, otherwise emails an auto-approval notification to the approver. Setup Add an OpenAI API credential and select the model for the OpenAI Chat Model used by the evaluator. Connect Google Sheets OAuth2 and replace YOUR_PROPOSAL_LOG_
Categorize emails and draft Gmail replies with Groq and Google Sheets
Quick overview This workflow monitors Gmail for new emails, uses Groq (via the LangChain Agent node) to categorize and summarize each message and draft a reply, sends an alert email for high-priority items, and logs the analysis and draft details to Google Sheets. How it works Checks Gmail every minute for new incoming emails. Skips processing if the email has no body content or snippet. Extracts the sender, subject, received date, message ID, and a truncated body (up to 3000 characters) for analysis. Sends the email content to Groq to return a JSON analysis with category, priority, summary, key asks, action items, suggested labels, and a draft reply. Parses and validates the AI JSON output, stopping if it cannot be parsed. Sends a Gmail alert to your chosen address when the email is marked HIGH priority, then continues. Appends the parsed analysis fields to a Google Sheets “Email Log” sheet and creates a Gmail draft reply only when the analysis indicates a response is required. Setup Connect a Gmail OAuth2 credential with permission to read emails and create drafts, and select it in the Gmail Trigger, Alert email, and Create Draft nodes. Add a Groq API credential and select it in
Monitor warehouse receiving performance with Google Sheets, Gemini, and Gmail
Quick overview This workflow runs hourly to analyze warehouse receiving logs from Google Sheets, calculates per-user performance and compliance metrics, enriches results with department data, uses Google Gemini to generate recommendations for flagged users, emails managers via Gmail when escalation is needed, and appends results to an analytics dashboard sheet. How it works Runs every hour on a schedule trigger. Reads receiving log rows from Google Sheets and normalizes key fields like duration, errors, and compliance. Aggregates the log data by user_id and computes performance status, severity score, and alert tier based on time, errors, and compliance rate. Looks up each user’s department and manager email in a Google Sheets “Departments” tab and attaches this context to the analysis. For users not rated “good,” sends the metrics to Google Gemini to generate structured root-cause and action-step recommendations. If the alert tier is not “none,” sends an info/warning or critical escalation email via Gmail (using manager_email when available). Appends the final per-user analysis (metrics, issues, recommendations, and whether an email was sent) to a Google Sheets “AnalyticsDashboard
Detect maverick spend and alert reviewers via Slack, Gmail, Sheets and Gemini
Quick Overview This workflow runs daily to compare procurement transactions in Google Sheets against an approved supplier list, flags unapproved (maverick) spend, uses Google Gemini to generate compliant alternatives, alerts reviewers via Slack and Gmail, logs violations back to Google Sheets, and escalates unresolved cases after two hours. How it works Runs every day at 11:00 AM on a schedule. Loads the approved supplier list and the latest transactions from Google Sheets and normalizes supplier names for consistent matching. Compares each transaction’s supplier against the approved list and flags transactions from unapproved suppliers as maverick spend. For approved suppliers, marks the transaction as processed in Google Sheets and ends. For maverick spend, sends the transaction details and the approved supplier list to Google Gemini to generate corrective recommendations and alternative suppliers. Formats the AI output with a timestamp, posts a Slack alert, and sends a detailed violation email through Gmail. Appends the violation details to a Google Sheets log, marks the transaction as processed, waits two hours, and then posts an escalation message to Slack. Setup Connect Googl
Monitor budget variance with Google Sheets, Gemini, Slack, and Gmail
Quick overview This workflow runs daily to compare department budgets and actual spend from Google Sheets, calculates variance, uses Google Gemini to generate root-cause insights, sends Slack alerts when variance breaches a threshold, logs results back to Google Sheets, and emails a daily report via Gmail. How it works Runs every day at 9:00 AM on a schedule. Reads budget and actual spend data from two Google Sheets tabs and matches records by Department. Calculates spend variance and variance percentage, then assigns a status label (Healthy/Warning/Critical) and run context like date and summary. Sends the variance details to Google Gemini to generate a JSON response with root cause, risk level, and recommendations. Checks whether the variance percentage is greater than 10% and sends a Slack alert with the AI insights when the threshold is exceeded. Appends the final analysis (including whether an alert was sent) to a Google Sheets log and sends the same report via Gmail. Setup Connect Google Sheets OAuth credentials and set the correct spreadsheet and sheet tabs for Budget Data, Actual spend, and the Final report log. Add a Google Gemini (PaLM) API credential for the Gemini model
Transcribe and analyze sales meetings with Deepgram, Gemini, GHL, Slack & Gmail
Quick overview Youtube Video: https://youtu.be/GNAplBWdCDE?si=TjojVTZX7ViiRUiG This workflow receives meeting voice recording via webhook, transcribes it with Deepgram, and uses Gemini to extract client details and next-step tasks. It then updates GoHighLevel, posts a task summary to Slack, emails the client their action items via Gmail, and logs the meeting to Sheets. How it works Receives a POST webhook request containing a meeting ID, attendee email, meeting date/time, and an audio file. Looks up the contact in GoHighLevel by email and creates/updates the contact if it does not already exist. Checks Google Sheets for the meeting ID and only continues if no existing row is found. Sends the audio binary to Deepgram to transcribe the recording with speaker diarization and utterances enabled. Formats the transcript and sends it to a Google Gemini–powered agent that returns structured JSON with client identification and task lists. Creates a GoHighLevel task with the extracted service-provider tasks, posts the task summary to Slack, and emails the client their tasks via Gmail. Appends the meeting details, extracted company name, and action items to Google Sheets and returns a webhook
Generate personalized financial plans with Google Gemini, Sheets, Drive and Gmail
Quick overview This workflow receives income and financial-goal data via webhook, stores enriched metrics in Google Sheets, generates a tailored plan with Google Gemini, converts it to a PDF via PDFShift, uploads it to Google Drive, and emails the result using Gmail. How it works Receives a POST webhook request containing an Income value and a Goal string. Normalizes the incoming fields and validates that income is non-negative and the goal is not empty, returning a webhook error response if validation fails. Calculates a timestamp, a recommended monthly saving amount (20% of income), and an income category (Low/Mid/High), then appends the record to Google Sheets. Routes the request by income category and uses Google Gemini (PaLM) to generate a personalized financial plan with category-specific guidance. Builds an HTML report that includes the user’s inputs and the Gemini-generated plan, then converts the HTML to a PDF using the PDFShift API and fetches the generated file. If the PDF is created successfully, uploads it to Google Drive, emails the PDF and Drive link via Gmail, and returns the HTML report in the webhook response. If PDF generation fails, returns a JSON error response
Score job listings and generate tailored cover letters with Apify, OpenAI and Google Sheets
Quick overview This workflow runs on a schedule to scrape job listings via Apify (Google Jobs and Career Site API), scores each role against your base resume using OpenAI, generates tailored cover letter and optionally a tailored resume in Google Docs, and logs the results to Google Sheets with Gmail error alerts. How it works Runs on a schedule (with an optional manual test trigger) and loads your search query and Google IDs from the configured variables. Uses Apify actors to scrape jobs from Google Jobs and the Career Site API, then normalizes and merges both result sets into a single list. Processes jobs in batches and skips listings that already exist in Google Sheets (matched by Apply URL), have no apply link, have short descriptions, or don’t meet the seniority criteria. Fetches your base resume from Google Docs and sends the resume plus job details to OpenAI to score relevance from 1–10 with a one-sentence rationale. For jobs scoring 7+, uses OpenAI to generate a personalized cover letter from the job description and your resume. For jobs scoring 8+, uses OpenAI to tailor your resume, saves it as a new Google Doc in your Drive folder, and makes the document publicly readable
Send GitHub release audio newsletters with OpenAI, Google Drive, Gmail and Sheets
Quick overview This workflow triggers on a published GitHub Release, uses OpenAI to turn the release notes into a short spoken script and MP3, stores the audio on Google Drive, pulls subscribers from Google Sheets, and sends an HTML “listen” newsletter to them via Gmail. How it works Triggers when a GitHub Release is published for the configured repository. Parses and cleans the release changelog, extracting key items into features, fixes, improvements, and other notes. Uses an OpenAI chat model to rewrite the release details into a 60–90 second spoken script. Calls the OpenAI text-to-speech API to generate an MP3 audio file from the script. Uploads the MP3 to Google Drive and sets the file permissions to “anyone with the link can view.” Loads subscriber email addresses from Google Sheets, builds an HTML newsletter with the public audio link and release highlights, and sends it via Gmail using BCC. Setup Connect a GitHub credential with access to the target repo and replace YOUR_GITHUB_USERNAME and YOUR_REPO_NAME in the GitHub trigger. Add an OpenAI API credential for both the chat model step and the OpenAI TTS HTTP request. Connect Google Drive OAuth2 and replace YOUR_AUDIO_FOLDER
Draft Gmail reply drafts automatically with Google Gemini
Quick overview This workflow watches for new Gmail messages, uses Google Gemini to draft a concise reply based on the email content, and saves the response as a Gmail draft in the original thread for you to review before sending. How it works Triggers every minute when a new email is received in Gmail. Sends the email subject, sender, and snippet to Google Gemini with instructions to write a professional reply under 100 words matching the sender’s tone. Creates a Gmail draft containing the generated reply and sets the subject to “Re:” while attaching it to the original email thread. Setup Connect a Gmail OAuth2 credential and ensure the trigger has access to the inbox you want to monitor. Add a Google Gemini (PaLM) API credential for the Gemini chat model. Review the reply prompt and the Gmail trigger polling interval, then activate the workflow. No additional setup is required the workflow is ready to run as soon as both credentials are connected.
Extract meeting insights from transcripts with OpenAI, Google Sheets and ClickUp
Quick Overview This workflow collects a meeting transcript via an n8n Form, uses OpenAI (ChatGPT) to extract structured meeting intelligence, logs the results to Google Sheets, creates one ClickUp task per action item, and emails an HTML meeting brief via Gmail. How it works Receives a form submission containing the meeting title, date, participants, duration, and full transcript. Validates the input (including a minimum transcript length), calculates counts, and generates a unique meeting ID. Sends the meeting context and transcript to an OpenAI ChatGPT model to extract a strict JSON payload with summary, topics, decisions, action items, risks, follow-up date, and sentiment. Parses and normalizes the AI JSON output, then formats readable strings and metrics for reporting. Appends the full meeting record to a Google Sheets “Meetings” tab. Splits the extracted action items and creates a ClickUp task for each valid item, including owner, priority, and due date when provided. Sends a formatted HTML meeting brief to the configured team email address using Gmail. Setup Add an OpenAI credential in the OpenAI Chat Model node and select the model to use. Connect Google Sheets OAuth2, repla
WPublish weekly SMB blog posts with Perplexity, Claude, Gemini, Supabase, and Gmail
Quick overview This workflow runs weekly to generate, research, write, illustrate, and publish a new blog post by combining Supabase (content + storage), Perplexity (topic + research), Anthropic Claude (writing), Google Gemini (cover image), and Gmail (notification). How it works Runs every Friday at 10:00 (cron: 0 0 10 * * 5). Fetches titles of already published posts from Supabase and builds a rotating topic focus that avoids repeating prior angles. Uses Perplexity to propose one fresh, SEO-relevant blog topic and then research it with trends, examples, and SMB-focused insights. Sends the topic and research notes to Anthropic Claude to write a complete post with title, excerpt, meta description, category, read time, and HTML body. Parses the generated text into structured fields, generates a slug, and prepares a published blog post record. Uses Google Gemini to generate a 16:9 cover image, uploads it to Supabase Storage, and attaches the public cover image URL to the post. Inserts the finished post into the Supabase blog_posts table with status set to published and emails the team via Gmail with the publication details. Setup Create a Supabase project with a blog_posts table and
Analyze skill gaps for target jobs with BrowserAct, LinkedIn and GPT-4o-mini
Quick Overview This workflow collects a student’s skills and target role via an n8n Form, scrapes top LinkedIn job postings with BrowserAct, and uses OpenAI GPT-4o-mini to generate a skill gap report with courses and a 90-day plan, saving results to Google Sheets and emailing them via Gmail. How it works Receives a student submission from an n8n Form with name, email, target role, current skills, experience level, location, and weekly learning hours. Validates the inputs, converts the skills list into an array, and builds a LinkedIn job search URL for the chosen role and location. Uses BrowserAct to open the LinkedIn job search in a real browser and extract text from up to 20 job postings. Cleans and normalizes the scraped job text and combines it with the student profile data. Sends the student profile and job-posting text to OpenAI GPT-4o-mini to extract in-demand skills, identify missing skills with priority, recommend three free courses, and generate a 13-week learning plan. Parses the model output into labeled sections, calculates matched and missing skill counts, and appends the full report as a new row in Google Sheets. Sends a formatted HTML email via Gmail to the student w
Draft and approve Gmail replies with OpenAI and CustomJS
Quick Overview This workflow pulls unread Gmail messages, generates draft replies with OpenAI, and publishes an approval dashboard via CustomJS. When you approve or edit a draft in the dashboard, it posts back to a webhook that sends the reply in Gmail and marks the original message as read. How it works Runs manually to fetch unread messages from Gmail. Filters out messages from common no-reply senders to avoid automated emails. Uses OpenAI (GPT-5) to generate a draft reply from the email subject, snippet, sender, and recipient. Compiles the original emails and AI drafts into a single HTML approval dashboard and publishes it as a CustomJS page. Receives an approval submission from the dashboard via an n8n webhook containing the edited reply text plus the Gmail message and thread IDs. Replies to the original Gmail message with the approved text and then marks the message as read. Setup Connect Gmail OAuth2 credentials for the Gmail nodes that read messages, reply, and mark messages as read. Add an OpenAI API credential and select the model you want to use for draft generation. Add your CustomJS credentials and confirm the target page name used to publish the dashboard. Set your n8n
Host an AI Gmail reply approval inbox with OpenAI and CustomJS
Quick overview Build super flexible and customizable Human-in-the-Loop (HITL) processes with n8n and CustomJS. Instead of letting AI reply autonomously, this workflow fetches data, drafts responses, and hosts interactive approval pages via CustomJS—ensuring full human quality control over your automations with optional custom domain hosting. How it works Trigger: Set to run manually (or scheduled on a cron job). Fetch Emails: Pulls unread messages from your Gmail inbox. Filter: Discards standard no-reply and notification addresses. AI Generation: OpenAI analyzes the email text and subject line to write a suggested reply. Build Dashboard: A Code node merges the dataset into a premium HTML template. Upsert Page: The CustomJS node hosts the generated HTML instantly. Setup Configure the Base URL: Open the Build Approval Page Code node, locate the configuration section (around line 22), and replace the placeholder with your actual n8n instance URL: Connect CustomJS: Add your CustomJS API token to your n8n to allow the workflow to automatically push and host the generated process pages. Activate Webhook: Ensure your n8n webhook node is set to "Production" so it can reliably receive the a
Reconcile Google Drive invoice PDFs with OpenAI, Sheets, Slack and Gmail
How it works Watches a Google Drive folder and triggers automatically when a new invoice PDF is uploaded Extracts raw text from the PDF and passes each invoice through an OpenAI powered agent that returns structured fields like vendor, amount, due date, and line items Fans the enriched data to three parallel outputs: a Google Sheets log, a Slack alert for overdue invoices, and a weekly summary email to Finance via Gmail Set up steps Connect Google Drive, Google Sheets, Gmail, Slack, and OpenAI credentials (~15 minutes total) Works best with text based PDFs; scanned invoices need OCR upstream of the extraction step Keep full setup details and prompt tuning tips in the sticky notes inside the workflow
Automate employee onboarding with Groq, Gmail, Slack and Google Workspace
How it works New hire submits an onboarding form with their details Groq AI generates personalised welcome content, Slack messages, and IT access request Welcome email sent to the new hire via Gmail Automated emails sent to HR, the manager, and IT team Company Policy and Employee Handbook PDFs downloaded from Drive and attached Slack messages posted to #general and #hr-team channels Onboarding record appended to Google Sheets tracker Set up steps Estimated time: ~15 minutes Connect Groq API, Gmail, Slack, Google Drive, and Google Sheets credentials Upload your Policy and Handbook PDFs to Drive and link them in the Download nodes Select your Slack channels in the two Slack nodes Select your onboarding Google Sheet in the Append row node Activate the workflow and share the form link with new hires
Audit multi-page CRO with GPT-4o-mini, Google Sheets, and Gmail alerts
Description Submit up to 3 landing page URLs using a simple form and the workflow audits each one automatically. For every page, GPT-4o-mini scrapes the content, scores it across five dimensions, identifies the top conversion issue, and generates five specific page fixes. Every result is logged to Google Sheets and pages that score below your alert threshold trigger an automatic Gmail alert with the full breakdown. Built for marketing managers, agency owners, and growth teams who need structured, repeatable conversion audits without spending hours reviewing pages manually. What This Workflow Does Scrapes and cleans each page automatically** — Fetches the raw HTML for every URL submitted, strips all scripts and styles, and prepares clean text for AI analysis Scores pages across five CRO dimensions** — GPT-4o-mini rates each page on overall conversion potential, CTA strength, trust score, and message clarity on a 1–10 scale Generates a letter grade per page** — Assigns A+ through F based on the overall score so you can rank pages at a glance Produces five page-specific fixes** — Every fix references actual content from the page and is scoped to be doable within 1–2 days — no generic
SOrchestrate credit onboarding checks with GPT-4o, Airtable, Gmail and Slack
How It Works This workflow automates credit operations onboarding by running KYC verification, credit bureau checks, identity validation, and sanctions screening through a single AI-powered agent. Built for credit operations teams, compliance officers, and fintech platforms, it eliminates manual eligibility reviews that are slow and error-prone. Triggered via webhook, the Credit Operations Agent orchestrates all verification tools simultaneously, then routes customers by eligibility status, eligible, ineligible, pending documentation, or compliance escalation. Each path prepares structured data stored in Airtable, triggers appropriate follow-up actions (email, Slack alerts), and logs a full audit trail. A final formatted response is returned to the originating system, closing the loop end-to-end with no manual handoffs. Setup Steps Set webhook URL and connect Credit Operations webhook node to your intake system. Add OpenAI API key to the OpenAI Chat Model node. Configure KYC, Credit Bureau, Identity, and Sanctions tool credentials. Add Gmail OAuth2 and Slack bot token for notification nodes. Connect Airtable API key; set base/table IDs for eligible and ineligible customer stores. P
Route event sales leads with Gmail, Google Gemini, Sheets and Salesforce
Email Sentiment Router for Event Sales Leads Who is this for? Event organizers, conference managers, and sales teams drowning in sponsor/exhibitor/partner emails who need zero-drop leads + real-time pipeline analytics. Key nodes: Gmail Trigger - Google Gemini (2x) - Data Table - Google Sheets - Send Email - Slack Category: Sales / AI / Event Management Level: Advanced Credits: Milo Bravo (BRaiA Labs) What problem is this workflow solving? Email overload kills event revenue: 200+ weekly sponsor/partner emails go unread No sentiment/intent analysis = missed hot leads Manual routing wastes 10+ hours/week Zero visibility into pipeline trends This workflow auto-classifies, routes, and analyzes every inbound lead. What this workflow does? Gmail Trigger monitors event inbox for new emails Gemini #1 scores sentiment (Positive/Neutral/Negative) Gemini #2 extracts topic, intent, urgency, org, budget signals Logs to email_analytics Data Table + Google Sheets Routes intelligently: Positive → Hot Lead email + Slack #hot-leads (2h SLA) Neutral → Nurture email + Slack #follow-ups (24-48h) Negative → Insights + Slack #insights Looker Studio dashboard auto-updates from Sheets Setup (5 minutes): Gma
Discover buying-intent leads on Twitter and Instagram with GPT-4o-mini and send summaries to Slack and Notion
📊 Description Automate B2B lead discovery by identifying high-intent prospects directly from Reddit discussions using AI-powered intent analysis. 🎯🤖 This workflow scans Reddit for conversations related to CRM and marketing automation tools, analyzes snippets to detect buying intent, identifies relevant decision-makers on LinkedIn, enriches contact details via RocketReach, and logs qualified leads into Google Sheets. Running every three hours, it ensures your sales team never misses fresh outbound opportunities without manual research. 🚀📊 🔁 What This Template Does 1️⃣ Runs automatically every 3 hours to search Reddit for tool-related discussions. ⏰ 2️⃣ Extracts Reddit snippets, links, and highlighted keywords from search results. 🔍 3️⃣ Uses AI to classify buying intent as High, Medium, or Low. 🤖 4️⃣ Identifies the core problem and suggests a safe, non-salesy outreach angle. 💬 5️⃣ Filters only High and Medium intent opportunities. 🚦 6️⃣ Searches LinkedIn for matching decision-makers based on role and seniority. 👥 7️⃣ Enriches lead profiles with emails and company data using RocketReach. 📇 8️⃣ Saves qualified leads into Google Sheets with deduplication logic. 📊 9️⃣ Sends
Audit web pages for SEO issues with Decodo, GPT-4 and Google Sheets
What this workflow does This workflow automatically audits web pages for SEO issues and generates an executive-friendly SEO report using AI. It is designed for marketers, founders, and SEO teams who want fast, actionable insights without manually reviewing HTML, meta tags, or SERP data. The workflow: Reads URLs from Google Sheets Scrapes page content using Decodo (reliable scraping, even on protected sites) Extracts key SEO elements (title, meta description, canonical, H1/H2, visible text) Uses an AI Agent to analyze the page and generate: Overall SEO status Top issues Quick wins Title & meta description recommendations Saves results to Google Sheets Sends a formatted HTML executive report by email (Gmail) Who this workflow is for This template is ideal for: SEO consultants and agencies SaaS marketing teams Founders monitoring their landing pages Content teams doing SEO quality control It focuses on on-page SEO fundamentals, not backlink analysis or technical crawling. Setup (step by step) 1. Google Sheets Create an input sheet with one URL per row Create an output sheet to store SEO results 2. Decodo Add your Decodo API credentials The URL is automatically taken from the input she
Automate Lead Response with GPT and Human Approval to Airtable CRM
AI-Assisted Lead Follow-Up With Human Approval This workflow automates your lead response process from end to end. When someone submits your n8n Form, the workflow generates an AI-written follow-up email, sends that draft to your sales team for approval, and then sends the approved email to the lead or marks it as needing revision. All lead details, drafts, approval decisions, and timestamps are stored in Airtable. Ideal For Teams that want AI to draft emails while keeping a human approval step Businesses receiving inbound inquiries that need fast, consistent responses Users building a simple form → email → CRM workflow Teams that want a record of all drafts and approval outcomes What This Template Provides AI-generated follow-up email drafts Human approval flow, using Approve and Reject links Automatic Airtable logging of leads, drafts, and statuses Fully automated pipeline triggered by a simple form submission Setup Steps (5–10 minutes) Connect Your Credentials Gmail Airtable OpenAI Create Your Airtable Table Use the following fields: Name Email Phone Company Name Message Status Email Draft Created On Add Your Airtable Base ID and Table ID Insert them into the Workflow Configurat
Qualify Real Estate Buyer Leads with GPT-4o & Airtable CRM Integration
🧠 How It Works This AI Agent automatically qualifies property buyer leads from form submissions and sends them directly to your CRM. 🔄 Workflow Steps Form Submission Trigger When a user submits their details via a property inquiry form, the workflow is activated. AI Lead Classification The buyer’s input (budget, location, timeline, etc.) is analyzed by OpenAI. Structured data is extracted, and a lead score (0–100) is generated. Lead Qualification Logic Leads with a score ≥ 70 are marked as qualified. Leads with a lower score can be ignored or stored separately for later review. Follow-Up Actions (for Qualified Leads) An email notification is sent to the real estate agent. A record is created in Airtable to act as a lightweight CRM. ⚙️ How to Set Up 1. Form Setup Replace the default trigger with your preferred source: Typeform, Google Forms, Webflow form, etc. Ensure your form collects the following fields: Name, Email, Budget, Location, Timeline, Property Type 2. Connect Your Credentials Add your OpenAI API key for the LLM node Connect your Gmail account for notifications Link your Airtable base & table to store qualified leads 3. Customize Scoring Logic (Optional) Edit the Infor