The Ultimate AI Agent - Emails And WhatsApp - Zero To Pro

Discover an enterprise‑level AI agentic workflow with multiple agents and WhatsApp cloud tools, and learn basics like triggers, nodes, edges, and UML models—fearlessly building from scratch.

See how a WhatsApp trigger activates a memory-driven AI agent to read, organize, and delete emails, using transcription, a brain, and tools for smart workflow.

Explore how AI agents evolve the declarative paradigm, processing text or voice via a WhatsApp trigger with window buffer memory and tools to filter emails and craft replies.

Orchestrate an AI agent to update the database and track emails via Google Sheets, filter spam, and auto respond to interested buyers while storing message IDs for precise actions.

Discover how sub agents and sub workflows power an ai agent to auto filter, categorize, label as important, and respond to emails, using a two-agent collaboration and scalable automation.

Automate email organization with AI by classifying every incoming message using open AI, then apply Gmail labels and route emails into categories like inquiries or follow-ups.

Explore n8n, an open-source, low-code workflow platform that connects Gmail, Google Calendar, Slack, and WhatsApp. Build a multi-step AI agent with text classification and API customization, without coding.

Discover how N8N streamlines integrations to power AI agents across finance, HR, marketing, and more, then create a free 14-day account and explore the dashboard and workflows.

Learn to build your own ai agent with n8n and see the workflow in action. Get familiar with the dashboard, credentials, templates, and ai integrations as you explore the fundamentals.

Explore how n8n combines AI agents with workflows to automate data processing, chatbots, email routing, and calendar events.

Set up a new n8n workflow using AI summarization to label and organize Gmail messages, creating an automated email AI agent with labeled outputs.

Set up a Gmail trigger in n8n to start email-driven automations by configuring a message received trigger, authenticating with a Google account, and saving a new credential for reliable workflows.

Learn how n8n uses a Gmail trigger to fetch emails, extract the message ID, and drive an input, processing, and output workflow to automate email tasks.

Explore JavaScript object notation and JSON data for AI automation, extracting Gmail message IDs and organizing email data with objects and arrays for scalable automation.

Master how to extract a message ID from JSON in n8n using click-and-drag, expression mode, and dot notation, test setup, and fetch test events to trigger Gmail messages.

Create an advanced AI prompt model in n8n to summarize Gmail messages and assign labels based on that summary using a basic LM chain.

Explore prompt engineering for email content labeling using three labels: work, personal, tour; leverage a structured LLM chain with explicit JSON outputs and techniques to prevent hallucinations.

Set up your OpenAI API key by creating a platform.openai.com account, configuring billing, generating a secret key, and testing the connection to enable programmatic access to ChatGPT.

Configure a single API key to access models, enforce JSON output with a zero temperature setting, and use a JSON schema and output parser to ensure clean, structured emails.

Merge and split dataflows in n8n with AI agents, extracting Gmail labels, applying personal email criteria, and combining outputs to create clean, actionable label-driven workflows.

Aggregate data flows and build robust error handling in N8N AI agents for email automation. Learn to merge inputs, match fields, and label Gmail messages with scalable aggregators.

Create a new WhatsApp AI agent workflow by choosing the WhatsApp business cloud trigger, configuring credentials, and saving while testing with mock or real data.

Register or transfer to a WhatsApp business account by linking your phone number and switching from a regular account, enabling visibility in the WhatsApp cloud with mobile and desktop setup.

Set up and connect your WhatsApp business account via business.facebook.com, create a business account, and link your phone number to access the credentials in the next lesson.

Create a new app on the Facebook developers site and obtain the app ID, app secret, client ID, and client secret for the WhatsApp AI agent, then test the connection.

Connect a large language model brain to the WhatsApp ai agent by wiring a chat model, memory, and tools, then configure OpenAI api keys for seamless operation.

Configure a window memory buffer for an AI agent, using session IDs and WhatsApp trigger data, including chat history, stored as JSON with optional Postgres or RedisAI.

Learn to connect WhatsApp triggers to an AI agent using OpenAI chat model and buffer memory, configure access token and business account ID from the schema, and test WhatsApp interactions.

Develop and test a real-time WhatsApp AI agent workflow that listens for messages, uses JSON outputs, and dynamically responds via a trigger and memory pathway.

Explore an advanced bonus section that augments an AI agent with voice integrations for WhatsApp, including voice notes, text messages, and customized HTTP requests to extract data and formats.

Configure multiple output types for ai agents in n8n using the switch node to route text and voice, converting audio to text.

Learn how to download media from WhatsApp business cloud by updating access tokens, retrieving media via an HTTP request, and converting audio to binary data for use in downstream workflows.

Learn how to use HTTP requests to power an AI agent with WhatsApp Cloud, employing methods like GET and POST, plus authentication and JSON data handling.

Learn to convert speech to text and feed audio data into an OpenAI powered AI agent via a WhatsApp workflow, testing text and audio inputs and finalizing connections.

Integrate Gmail access into your WhatsApp AI agent, enabling actionable requests and email filtering that retrieves unread messages and summarizes them for quick triage.

Enable an AI agent to send, reply, and summarize emails through WhatsApp, adding modular tools and workflows for scalable, debuggable email handling via Gmail.

Explore building a custom database to map email message IDs to actions in AI agents, enabling reliable delete operations in Gmail workflows within N8N, and updating prompts for contextual understanding.

Build a database to map unread emails to Gmail message IDs and store sender details for access. Refine the AI agent’s system prompt and memory with prompt engineering for consistency.

Build a Google Sheet as a simple database to map names, emails, and message IDs for the AI agent's email handling, enabling delete, reply, and update workflows.

Learn to parse messy ai outputs into a structured json by extracting name, email, and message id, using a system prompt and markdown formatting for WhatsApp, and automate data storage.

Learn regex in javascript to parse LM output, filter blocks, and extract name, email, and message id, using const, for of loops, and json handling in n8n workflows.

Master regular expressions to extract name, email, and message id from email blocks, and debug a practical workflow that iterates, matches, and cleans data into json results.

Map json name, email, and message id into fields within the automation, then append them to Google Sheets via a test workflow, enabling future delete and reply actions.

Track message IDs in Google Sheets to reply or delete messages by name. Look up emails and send replies via Gmail using the email contact list sheet.

Design and connect sub-workflows for AI agents in n8n, enabling modular tools and memory flows, with workflow triggers and delete email tool integration for scalable automation.

Build a dynamic labeling framework for multi-AI agent workflows, returning valid JSON to label emails and organize messages across WhatsApp and Gmail, with updates to Google Sheets.

Develop an advanced ai agent workflow that parses raw json outputs, handles parsing errors with try-catch, and maps results into a consistent json array for categorization.

Learn regex techniques to extract and sanitize JSON from raw text, strip markdown fences with non-greedy matching, and classify labels as important or follow up for emails and WhatsApp.

Explore regressive prompt test engineering and json work for ai agents, focusing on parsing json, labeling emails, and building multi-level agent workflows with dynamic labeling.

Merge data in n8n to create enterprise workflows that clean unstructured data, coordinate two AI agents, and label emails via Gmail with JSON outputs.