Workflow Templates

Description Candidate Engagement | Resume Screening | AI Voice Interviews | Applicant Insights This intelligent n8n workflow automates the process of extracting and scoring resumes received through a company career page, populating a Notion database with AI insights where the recruiter or hiring manager can automatically invite the applicant to an instant interview with an Elevenlabs AI voice agent. After the agent conducts the behavior-based interview, the workflow scores the overall interview against customizable evaluation criteria and updates the Notion database with AI insights about the applicant. AI Powered Resume Screening & Voice AI that interviews like a Recruiter! AI Insights in Notion dashboard Who is this for? HR teams, recruiters, and talent acquisition professionals This workflow is ideal for HR teams, recruiters, and talent acquisition professionals looking for a foundational, extensible framework to automate early stage recruiting. Whether you're exploring AI for the first time or scaling automation across your hiring process, this template provides a base for screening, interviewing, and tracking candidates—powered entirely by n8n, Elevenlabs, Notion, and LLM integrations. Be sure to consult State and Country regulations with respect to AI Compliance, AI Bias Audits, AI Risk Assessment, and disclosure requirements. What problem is this workflow solving? Manually screening resumes and conducting initial interviews slows down hiring. This template automates: Resume assessment against job description. Scheduling first and second round interviews. First-round AI-led behavioral interviews with AI scoring assessment. Centralized tracking of AI assessments in Notion. What this does This customizable tool, configured to manage 3 requisitions in parallel, automates the application process, resume screen, and first round behavioral interviews. Pre-screen Applicants with AI Immediately screens and scores applicant’s resume against the job description. The AI Agent generates a score and an AI assessment, adding both to the applicant's profile in Notion. Notion automatically notifies hiring manager when a resume receives a score of 8 or higher. Voice AI that Interviews like a Recruiter AI Voice agent adapts probing questions based on applicant’s response and intelligently dives deeper into skill and experience to assess answers against a scoring rubric for each question. AI Applicant Insights in Notion Get detailed post-interview AI analysis, including interview recordings and question-by-question scoring breakdowns to help identify who you should advance to the next stage in the process. AI insight provided in Notion ATS dashboard with drag and drop to advance top candidates to the next interview stage. How it works Link to Notion Template Notion Career Page: Notion Career Page published to web, can be integrated with your preferred job board posting system. Notion Job Posting: Gateway for applicants to apply to active requisitions with ‘Click to Apply’ button. Application Form: N8N webform embedded into Notion job posting captures applicant information and routes for AI processing. AI Agent evaluates resume against job description AI Agent evaluates resume against the job description, stored in Notion, and scores the applicant on a scale of 1 to 10, providing rationale for score. Creates ATS record in Notion with assessment and score Workflow creates the applicant record in the Notion ATS where Recruiters and Hiring Managers see applicants in a filtered view, sorted by AI generated resume score. Users can automatically advance applicants to the next step in process (AI Conversation interview) with drag and drop functionality. Invites applicant to an Instant AI Interview Dragging the applicant to AI Interview step in the Notion ATS dashboard triggers Notion automation that sends the applicant an email with a link to the Elevenlabs Conversation AI Agent. The AI Conversation Agent is provided with instructions on how to conduct the behavior-based interview, including probing questions, for the specific role. AI Conversation Agent Behavior Based Interview The email link resolves to an ElevenLabs AI Conversation agent that has been instructed to interview applicants using pre-defined interview questions, scoring rubric, job description, and company profile. The Elevenlabs agent assesses the applicant on a scale of 1 to 5 for each interview question and provides an overall assessment of the interview based on established evaluation criteria. Click to hear AI Voice Agent in action Example: Role: IT Support Analyst Mark: Elevenlabs AI Agent instructed to interview applicants for specific role Gemini: Google AI coached to answer questions as an IT Support Analyst being interviewed Updates Notion record with Interview Assessment and Score All results—including the conversation transcript, interview scores, and rationale for assessment are automatically added back to the applicant’s profile in Notion where the Hiring Manager can validate the AI assessment by skimming through the embedded audio file. AI Interview Overall Score: 1 to 5 based on response to all questions and probes. AI Agent confirms that it was able to evaluate the interview using the assigned rubric. AI Interview Criteria Score: Success/Failure based on response to individual interview questions. Invites applicant to second interview with Hiring Manager Dragging the applicant to the ‘Hiring Manager Interview’ step in the Notion ATS dashboard triggers a Notion automation that sends an email with a link to the Hiring Manager’s calendar scheduling solution. Configuration and Set Up Accounts & API Keys You wil need accounts and credentials for: n8n (hosted or self-hosted) Elevenlabs (for AI Conversation Agent) Gemini (for LLM model access) Google Drive (to back up applicant data) Calendly (to automate interview scheduling) Gmail (to automate interview scheduling) Data / Documents to implement Job Descriptions for each role Interview questions for each role Evaluation criteria for each interview question Notion Set Up Customize your Notion Career Page Link to Free Notion Template that enables workflow: Update Notion job description database -update job description(s) for each role -add interview questions to the job description database page in Notion -add evaluation criteria to the job description database page in Notion -edit each ‘Click to Apply’ button in the job description template so it resolves to the corresponding N8N 'Application Form' webform production URL (detail provided below) Notion Applicant Tracker In the Applicant Tracker database, update position titles, tab headings, in the custom database view (Notion) so it reflects the title of the position you are posting. Edit the filter for each tab so it matches the position title. Notion Email Automation Update Notion automation templates used to invite applicants to the AI Interview and Hiring Manager interview. Note: Trigger email automation by dragging applicant profile to the next Applicant Comm Status in the Applicant Tracker. AI Interview invite template: revise position title to reflect the title of the role you are posting; include the link to your Conversation AI Agent for that role in the email body. Note: each unique role will use an Elevenlabs AI conversation agent designed for that role. Hiring Manager Interview invite template: revise position title to reflect the title of the role you are posting; include the link to your Calendly page or similar solution provider to automate interview scheduling. N8N Configuration Workflow 1 Application Forms (3 Nodes - one for each job) Update the N8N form title and description to match the job description you configured in Notion. Confirm Job Code in Applicant Form node matches Job Code in Notion for that position. Edit the Form Response to customize the message you want displayed after applicant clicks submit. Upload CV - Google Drive Authenticate your Google Drive account and select the folder that will be used to store resumes Get Job Description - Notion Authenticate your Notion account and select your Career Page from the list of databases that contain your job descriptions. Applicant Data Backup - Google Sheet Create a Google Sheet where you will track applicant data for AI Compliance reporting requirements. Open the node in n8n and use the field names in the node as Google Sheet column headings. Workflow 2 Elevenlabs Web Hook (Node 1) Edit the Web Hook POST node and copy your production URL that is displayed in the Node. This URL is entered into the Elevenlabs AI Conversation Agent post-call webhook described below. AI Agent Authenticate your LLM model (Gemini in this example) and add your Notion database as a tool to pull the evaluation_criteria hosted in Notion for the specific role. Extract Audio Create an Elevenlabs API key for your conversation agent and enter that key as a json header for the Extract Audio node Upload Audio to Drive - Google Drive Authenticate your Google Drive account and select the folder that will be used to store the audio file. Elevenlabs Configuration Create an Elevenlabs account Create Conversation AI Agent Add First Message and Systems Prompt: Design your ‘First Message’ and ‘Systems Prompt’ that guides the AI agent conducting the interview. Tool Tip: provide instruction that limits the number of probes per interview question. Knowledge Base: Upload your role specific interview questions and job description, using the same text that is stored in your Notion Career page for the role. You can also add a document about your company and instruct the Elevenlabs agent to answer questions about culture, strategy, and company growth. Analysis: Evaluation Criteria: Add your evaluation criteria, less than 2000 characters, for each interview question / competency. Analysis: Data Collection: Add the following elements, using the exact character string represented below. phone_number_AI_screen "capture applicant's phone number provided at the start of the conversation and share this as a string, integers only." full_name "capture applicant's full name provided at the start of the conversation." Advanced: Max Duration Set the max duration for interview in seconds. The AI Agent will timeout at the max duration. Conversation AI Widget: Customize your AI Conversation Agent landing page, including the position tile and company name. AI Conversation Agent URL: Copy the AI Conversation Agent URL and add it to your Notion email template triggered by the AI Interview email automation. Use a custom AI Agent URL for each distinct job description. Enable your Elevenlabs Post-Call Webhook for your Conversation Agent: Log into your Elevenlabs account and go to Conversational AI Settings and click on Post-Call Web Hook. This is where you enter the production URL from the N8N Web Hook node (Workflow 2). This sends the AI Voice Agent output to your n8n workflow which feeds back to your Notion dashboard.

Who is this for? This workflow is ideal for: HR professionals* and *recruiters** who want to automate and enhance the hiring process Organizations** seeking AI-driven, consistent, and data-backed candidate evaluations Hiring managers** using Airtable as their recruitment database What problem is this workflow solving? Screening candidates manually is time-consuming, inconsistent, and difficult to scale. This workflow solves that by: Automating resume intake and AI evaluation** Matching candidates to job postings dynamically** Generating standardized suitability reports** Notifying HR only when candidates meet the criteria** Storing all applications in a structured Airtable database** What this workflow does This workflow builds an end-to-end AI-powered hiring pipeline using Airtable, OpenAI, and Google Drive. Here's how it works: Accept candidate applications via a public web form, including resume upload (PDF only) Extract text from uploaded resumes for processing Store resumes in Google Drive and generate shareable links Match the application to a job posting stored in Airtable Use AI to evaluate candidates (via OpenAI GPT-4) against job descriptions and requirements Generate suitability results including: Match percentage Screening status: Suitable, Not Suitable, Under Review Detailed notes Combine AI output and files into one data object Create a new candidate record in Airtable with all application data Automatically notify HR via Gmail if a candidate is marked “Suitable” Setup View & Copy the Airtable base here: 👉 Candidate Screening – Airtable Base Template Set up Google Drive folder Connect your OpenAI API key for the AI agent model Connect your Gmail account for email notifications Deploy the public-facing form to start receiving applications Test the workflow using a sample job and resume How to customize this workflow to your needs Expand file support**: Allow DOC or DOCX uploads by adding format conversion nodes Add multi-recipient email alerts**: Extend Gmail node for multiple HR recipients Handle “Under Review” differently**: Add additional logic to notify or flag these candidates Send rejection emails automatically**: Extend the IF branch for “Not Suitable” candidates Schedule interviews**: Integrate with Google Calendar or Calendly APIs Add Slack notifications**: Send alerts to team channels for real-time updates

This workflow automatically sends Zendesk tickets to Pipedrive contacts and makes them task assignees. The automation is triggered every 5 minutes, with Zendesk checking and collecting new tickets which are then individually assigned to a Pipedrive contact. Prerequisites Pipedrive account and Pipedrive credentials Zendesk account and Zendesk credentials Note: The Pipedrive and the Zendesk accounts need to be created by the same person / with the same email. How it works Cron node triggers the workflow every 5 minutes. Zendesk node collects all the tickets received after the last execution timestamp. Set node passes only the requester`s email and ID further to the Merge node. Merge by key node merges both inputs together, the tickets and their contact emails. Pipedrive node then searches for the requester. HTTP Request node gets owner information of Pipedrive contact. Set nodes keep only the requester owner's email and the agent`s email and id. Merge by key node merges the information and adds the contact owner to ticket data. Zendesk node changes the assignee to the Pipedrive contact owner or adds a note if the requester is not found. The Function Item node sets the new last execution timestamp.

This workflow uses AI to analyze the content of every new message in Gmail and then assigns specific labels, according to the context of the email. Default configuration of the workflow includes 3 labels: „Partnership” - email about sponsored content or cooperation, „Inquiry” - email about products, services, „Notification” - email that doesn't require response. You can add or edit labels and descriptions according to your use case. 🎬 See this workflow in action in my YouTube video about automating Gmail. How it works? Gmail trigger performs polling every minute for new messages (you can change the trigger interval according to your needs). The email content is then downloaded and forwarded to an AI chain. 💡 The prompt in the AI chain node includes instructions for applying labels according to the email content - change label names and instructions to fit your use case. Next, the workflow retrieves all labels from the Gmail account and compares them with the label names returned from the AI chain. Label IDs are aggregated and applied to processed email messages. ⚠️ Label names in the Gmail account and workflow (prompt, JSON schema) must be the same. Set up steps Set credentials for Gmail and OpenAI. Add labels to your Gmail account (e.g. „Partnership”, „Inquiry” and „Notification”). Change prompt in AI chain node (update list of label names and instructions). Change list of available labels in JSON schema in parser node. Optionally: change polling interval in Gmail trigger (by default interval is 1 minute). If you like this workflow, please subscribe to my YouTube channel and/or my newsletter.

This workflow automatically does the following: Scrapes comments and likes from a LinkedIn post. Adds contact data (nominative and verified email address, gender, standardized first name and last name, all legal company information). Adds these contacts to Airtable. Sends an ultra-personalized cold email sequence. Sends a Linkedin invitation after the cold email sending. Pushes all contacts to HubSpot. Prerequisites A Phantombuster account and credentials A Lemlist account and credentials A Dropcontact account and credentials A HubSpot account and credentials How it works Cron node executes the workflow every hour. Phantombuster node (Launch agent) launches the "LinkedIn Post Likers" phantom and the "LinkedIn Post Commenters" phantom. Note that you have to create these phantoms before setting your workflow automation. Phantombuster node (Get Output agent)** gets results from the previous phantoms. Dropcontact node fetches the new contact information and returns the data of the person and the company associated with the email address, job function, and all legal information. Airtable node (List) lists all the records in the Contacts table. IF node routes the workflow based on whether a contact is in Airtable. Set node sets the required data for the following nodes. Airtable node (Update)** updates the record's name. Airtable node (Append)** creates a record if the account doesn't exist yet. Lemlist node adds a contact to an existing campaign. Phantombuster node (Launch agent)** launches the "LinkedIn Network Booster" phantom. Note that you have to create these phantoms before setting your automation. Hubspot node creates or updates the contacts in the HubSpot CRM.

Who might benfit from this workflow? Everyone organizing him/herself by using a notion database for tasks but losing track on some important tasks having a deadline. The weekly reminder helps you to not forget about your notion tasks. How it works: The workflow fetches all your notion tasks from a desired database but the closed ones It generates a html template for each tasks containing a headline and a short list of key data (prio, status deadline, tags) It creates two groups based on the deadline date if a task is already overdue or not It generates a complete html email containing both groups and some sugar around them It sends the email to your desired email It uses Pushover to send you a push notification to your phone It is scheduled by the beginning of each week How to set it up: Fill out the "Set Workflow vars" node with your data Connect your notion account and select the database your tasks are stored at define the status filters to the ones you are using for your tasks Setup your email server to enable the email node to deliver your html email Create a Pushover account and setup the authentication for the Pushover node Adjust the last html node to change email style for your desire How to customize this workflow for your needs? You might adjust the filtering of the notion fetch node to filter for other statuses than provided in the example. You apply your custom design to the html email You could remove the filter which is filtering for tasks having a deadline and just send yourself a reminder for all tasks You need help implementing this or any other n8n workflow? Feel free to contact me via LinkedIn or my business website. You want to start using n8n? Use this link to register for n8n (This is an affiliate link)

Overview This template integrates an IOT multi-button switch (meant for controlling a dimmable light) with Spotify playback functions, via MQTT messages. This isn't likely to work without some tinkering, but should be a good head start on receiving/routing IOT/MQTT messages and hooking up to a Spotify-like API. Requirements An IOT device capable of generating events that can be delivered as MQTT messages through an MQTT Broker e.g. Ikea Strybar remote An MQTT Broker to which n8n can connect and consume messages e.g. Zigbee2MQTT in HomeAssistant A Spotify developer-account (which provides access to API functions via OAuth2 authorization) A Spotify user-account (which provides access to Spotify streamed content, user settings, etc.) Setup Create an MQTT Credential item in n8n and assign it to the MQTT Trigger node Modify the MQTT trigger node to match the topic for your IOT device messages Modify the switch/router nodes to map to the message text from your IOT button (e.g. arrow_left_click, brightness_up_click, etc.) Create a Spotify developer-account (or use the login for a user-account) Create an "App" in the developer-account to represent the n8n workflow Chicken/Egg ALERT: The n8n Spotify Credentials dialog box will display the "OAuth Redirect URL" required to create the App in Spotify, but the n8n Credential item itself cannot be created until AFTER the App has been created. Create a Spotify Credentials item in n8n Open the Settings on the Spotify App to find the required Client ID and Client Secret information. ALERT: Save this before proceeding to the Connect step. Connect the n8n Spotify Credential item to the Spotify user-account ALERT: Expect n8n to open a separate OAuth2 window on authorization.spotify.com here, which may require a login to the Spotify user-account Open each of the HTTP and Spotify nodes, one by one, and re-assign to your Spotify Credential (try not to miss any). (Then, probably, upvote this feature request: https://community.n8n.io/t/select-credentials-via-expression/5150 Modify the variable values in the Globals node to match your own environment. target_spotify_playback_device_name - The name of a playback device available to the Spotify user-account favorite_playlist_name - The name of a playlist to start when one of the button actions is indicated in the MQTT message. Used in example "Custom Function 2" sequence. Notes You're on your own for getting the multi-button remote switch talking to MQTT, figuring out what the exact MQTT topic name is, and mapping the message parts to the workflow (actions, etc.). The next / previous actions are wired up to not transfer control to the target device. This alternative routing just illustrates a different behavior than the remaining actions/functions, which include activation of the target device when required. Some of the Spotify API interactions use the Spotify node in n8n, but many of the available Spotify API functions are limited or not implemented at all in the Spotify node. So, in other cases, a regular HTTP node is used with the Spotify OAuth2 API credential instead. By modifying one of the examples included in the template, it should be possible to call nearly anything the Spotify API has to offer. Spotify+n8n OAuth Mini-Tutorial Definitions The developer-account is the Spotify login for creating a spotify-app which will be associated with a client id and client secret. The user-account is the Spotify login that has permission to stream songs, set up playback devices, etc. ++A spotify-login allows access to a Spotify user-account, or a Spotify developer-account, OR BOTH++ The spotify-app, which has a client id and client secret, is an object created in the developer-account. The app-implementation (in this case, an ++n8n workflow++) uses the spotify-app's credentials (client id / client secret) to call Spotify API endpoints on behalf of a user-account. Using One Spotify Login as Both User and Developer When an n8n Spotify-node or HTTP-node (i.e. an app-implementation) calls a Spotify API endpoint, the Credentials item may be using the client id and client secret from a spotify-app, which was created in a developer-account that is ++one and the same spotify-login as the user-account++. However, it helps to remind yourself that from the Spotify API server's perspective, the developer-account + spotify-app, and the user-account, are ++two independent entities++. n8n Spotify-OAuth2-API Credential Authorization Process The 2 layers/steps, in the process of authorizing an n8n Spotify-OAuth2-API credential to make API calls, are: n8n must identify itself to Spotify as the app-implementation associated with the developer-account/spotify-app by sending the app's credentials (client id and client secret) to Spotify. The Client ID and Client Secret are supplied in the n8n Spotify OAuth2 Credentials UI/dialog-box Separately, n8n must obtain an authorization token from Spotify to represent the permissions granted by the user to execute actions (call API endpoints) on behalf of the user (i.e. access things that belong to the user-account). This authorization for the user-account access is obtained when the "Connect" or "Reconnect" button is clicked in the n8n Spotify Credentials UI/dialog-box (which pops up a separate authorization UI/browser-window managed by Spotify). The Authorization for a given spotify-app stays "registered" in the user-account until revoked. See: https://support.spotify.com/us/article/spotify-on-other-apps/ Direct Link: https://www.spotify.com/account/apps/ More than one user-account can be authorized for a given spotify-app. A particular n8n Spotify-OAuth2-API credential item appears to cache an authorization token for the user-account that was most recently authorized. Up to 25 users can be allowed access to a spotify-app in Developer-Mode, but any user-account other than the one associated with the developer-account must be added by email address at https://developer.spotify.com/dashboard/{{app-credential-id}}/users ALERT: IF the browser running the n8n UI is ALSO logged into a Spotify account, and the spotify-app is already authorized for that Spotify account, the "reconnect" button in the Spotify-OAuth2-API credential dialog may automatically grab a token for that logged in user-account, offering no opportunity to select a different user-account. This can be managed somewhat by using "incognito" browser windows for n8n, Spotify, or both. References n8n Spotify Credentials Docs Spotify Authorization Docs

How it works Fetch transaction notification emails (including attachments) Clean up data Let AI (Basic LLM Chain node) generate bookkeeping item Send to Google sheet Details The example fetch email from Gmail lables, suggested using filters to automatically orgianize email into the labels Data will send to "raw data" sheet Example google sheet: https://docs.google.com/spreadsheets/d/1_IhdHj8bxtsfH2MRqKuU2LzJuzm4DaeKSw46eFcyYts/edit?gid=1617968863#gid=1617968863

Instructions This automation streamlines the process of collecting user information using a Form Node, enabling individuals to join a waitlist managed via Google Sheets. It also generates a verification code, prompting users to input this code in the Second Form Step. If the code is _nvalid, the workflow keeps the user in a verification loop until a valid code is entered. Once a valid code is provided, the workflow proceeds to the final step, where additional information can be collected. All entered data and intermediate states are securely stored in the Google Sheet. Structure of the GoogleSheet Firstname | Lastname | Email | Company | Verification-Code | Verified | Intended Use Marcel | Claus-Ahrens | foo[at]bar| foobar | abc123 | TRUE | Just testing Setup Set Up a Google Sheet: Create a Google Sheet with the specified columns, or customize them to suit your needs. Verify the "Send Mail" Node: Ensure your "Send Mail" node is functional, or replace it with another email-sending node. Customize Texts and Fields: Update email content, form texts, and form fields to align with your specific use case. Done! Enjoy the workflow! ❤️ let the workf low — Workflow Automation & Development

This n8n workflow demonstrates how you can summarise and automate post-meeting actions from video transcripts fed into an AI Agent. Save time between meetings by allowing AI handle the chores of organising follow-up meetings and invites. How it works This workflow scans for the calendar for client or team meetings which were held online. * Attempts will be made to fetch any recorded transcripts which are then sent to the AI agent. The AI agent summarises and identifies if any follow-on meetings are required. If found, the Agent will use its Calendar Tool to to create the event for the time, date and place for the next meeting as well as add known attendees. Requirements Google Calendar and the ability to fetch Meeting Transcripts (There is a special OAuth permission for this action!) OpenAI account for access to the LLM. Customising the workflow This example only books follow-on meetings but could be extended to generate reports or send emails.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Automate your entire video content creation pipeline with this AI-powered, no-code workflow built in n8n. Watch Step-by-step video guide here: https://www.youtube.com/watch?v=x7nHpcggpX8&t=5s This template connects a suite of smart tools to help you generate scroll-stopping short video ideas based on daily trending topics and auto-deliver them via email—ready for production in Veo 3. 🔧 How it works: Scheduled Trigger (Daily) Kicks off the process each day at your chosen time. Tavily Agent (Web Search) Searches the latest trends, viral moments, or market news based on your e-commerce brand (e.g. “Sally’s Closet”). OpenAI GPT-4 Agent (Creative Brainstorming) Generates high-conversion marketing video ideas based on your brand’s tone and what’s trending. Prompt Formatter for Veo 3 Converts the idea into a cinematic-style prompt, optimized for Veo’s video generation engine (via FAL API). Send via Gmail The final Veo 3 prompt is emailed to you or your creative team for immediate use or manual refinement. Watch full step-by-step Tutorial Build Video: https://youtu.be/x7nHpcggpX8 🧠 Use Cases: E-commerce brands that need fresh daily content Marketing teams looking to automate creative ideation Solopreneurs building a lean video production engine Anyone experimenting with Veo 3 prompt-based storytelling 🛠️ Tools used: n8n Scheduled Trigger Tavily Node (for real-time web search) Langchain Agent (GPT-4 via OpenAI) FAL API (Veo 3 prompt delivery) Gmail Node (send final output) ⚡️ Ready-to-use. Fully editable. Zero coding required. 💡 Pro Tip: You can hook this up with the Veo 3 generation API (FAL) to complete the automation end-to-end!

🔍 How it works This workflow turns WhatsApp into a smart email command center using AI. Users can speak or type instructions like: "Send a follow-up to Claire” "Write a draft email to Claire to confirm tomorrow’s meeting at 5 PM” "What is the name of Claire's firm?” The agent transcribes voice notes, extracts intent with GPT, interacts with Gmail (send, draft, search), and replies with a confirmation via WhatsApp — either as text or a voice message. ⚙️ Key Modules Used WhatsApp Business Webhook (Meta) OpenAI Whisper (voice transcription) GPT (intent + content generation) Gmail (search, draft, send) Airtable (contact lookup + memory logging) 🧠 Memory Layer (Optional) The agent logs key fields in Airtable: Recipient email Company / job title And more... This creates a lightweight "gut memory” so the agent feels context-aware. 🗺️ Setup Steps Connect WhatsApp Business API (via Meta Developer Console) Add OpenAI and Gmail credentials in n8n Link your Airtable base for contacts and logging 🧩 Best Use Cases Hands-free email reply while commuting Fast Gmail access for busy consultants / solopreneurs Custom business agents for service-based professionals ⏱️ Estimated Setup Time 30–60 minutes ✅ Requirements WhatsApp Business Cloud access OpenAI API Key Gmail or Google Workspace Airtable account (free plan OK) n8n instance (cloud or self-hosted with HTTPS)