Build your first AI agent

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

How it works This template launches your very first AI Agent —an AI powered chatbot that can do more than just talk— it can take action using tools. Think of an AI Agent as a smart assistant, and t...

Best for

Personal Productivity automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.rssfeedreadtool, n8n-nodes-base.httprequesttool, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.lmchatgooglegemini

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Lucas Peyrin.

Original n8n.io source

1.1 Workflow description

Title: Build your first AI agent
Workflow name: Build your first AI agent

How it works

This template launches your very first AI Agent —an AI-powered chatbot that can do more than just talk— it can take action using tools.

Think of an AI Agent as a smart assistant, and the tools are the apps on its phone. By connecting it to other nodes, you give your agent the ability to interact with real-world data and services, like checking the weather, fetching news, or even sending emails on your behalf.

This workflow is designed to be the perfect starting point:

The Chat Interface: A Chat Trigger node provides a simple, clean interface for you to talk to your agent.
The Brains: The AI Agent node receives your messages, intelligently decides which tool to use (if any), and formulates a helpful response. Its personality and instructions are fully customizable in the "System Message".
The Language Model: It uses Google Gemini to power its reasoning and conversation skills.
The Tools: It comes pre-equipped with two tools to demonstrate its capabilities:
1. Get Weather: Fetches real-time weather forecasts.
2. Get News: Reads any RSS feed to get the latest headlines.
The Memory: A Conversation Memory node allows the agent to remember the last few messages, enabling natural, follow-up conversations.

Set up steps

Setup time: ~2 minutes

You only need one thing to get started: a free Google AI API key.

Get Your Google AI API Key:
- Visit Google AI Studio at aistudio.google.com/app/apikey.
- Click "Create API key in new project" and copy the key that appears.
Add Your Credential in n8n:
- On the workflow canvas, go to the Connect your model (Google Gemini) node.
- Click the Credential dropdown and select + Create New Credential.
- Paste your API key into the API Key field and click Save.
Start Chatting!
- Go to the Example Chat node.
- Click the "Open Chat" button in its parameter panel.
- Try asking it one of the example questions, like: "What's the weather in Paris?" or "Get me the latest tech news."

That's it! You now have a fully functional AI Agent. Try adding more tools (like Gmail or Google Calendar) to make it even more powerful.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Introduction Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Sticky Note12

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Sticky Note13

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Sticky Note15

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Sticky Note16

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - Get News

Type / Role: n8n-nodes-base.rssFeedReadTool - rssFeedReadTool
Config choices: Version 1.2

Block 8 - Get Weather

Type / Role: n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices: Version 4.2

Block 9 - Your First AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 10 - Example Chat

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

Block 11 - Conversation Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 12 - Connect Gemini

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 13 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Build your first AI agent
Complexity	intermediate
Nodes	13
Categories	Personal Productivity, AI Chatbot
Author	Lucas Peyrin
Published	22 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6270/6270.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Personal Productivity workflows AI Chatbot workflows

Frequently asked questions

What does Build your first AI agent do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI Chatbot use case.

Lucas Peyrin

30 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.rssfeedreadtool n8n-nodes-base.httprequesttool @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.lmchatgooglegemini

Complexity

intermediate

Published 22 Jul 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/6270/6270.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Manage Google Calendar events with Zalo Bot, OpenAI and Gemini

## Quick Overview This workflow lets users manage Google Calendar by sending text or voice messages to a Zalo Official Account bot, transcribing voice notes with Google Gemini and using an OpenAI-powered agent to create, update, list, or delete events, then replying in Zalo with the result. ## How it works 1. Receives an incoming text or voice message through a Zalo Bot trigger. 2. Sends a typing indicator back to the Zalo chat and normalizes key message fields (chat ID, type, text, and voice URL). 3. If the message is a voice note, sends the audio URL to Google Gemini to transcribe it into text. 4. Sends the combined text/transcription to an OpenAI chat model agent that interprets the request in Vietnamese and decides whether to list, create, update, or delete a Google Calendar event. 5. Uses Google Calendar tools to get events and then create, update, or delete the targeted event based on the agent’s extracted parameters. 6. Sends the agent’s Markdown-formatted response back to the user in Zalo, and posts an error message to Zalo if the agent run fails. ## Setup 1. Install the community node package `n8n-nodes-zalo-bot-official` and restart n8n if required. 2. Connect your Zalo Bot API credentials and configure the Zalo webhook URL in your Zalo Official Account so incoming messages reach this workflow. 3. Add a Google Calendar OAuth2 credential and set the target calendar account (currently configured as `[email protected]`) for all calendar operations. 4. Add a Google Gemini (PaLM) API credential for audio transcription and ensure voice messages include a reachable `voice_url`. 5. Add an OpenAI API credential, select the chat model you want to use (currently `gpt-5-mini`), and adjust the system prompt/tone if needed.

View

Screen LinkedIn jobs and generate tailored resume and cover PDFs with Anthropic and DocRaptor

## Quick Overview This workflow collects your job preferences and resume via an n8n form, scrapes fresh LinkedIn job listings with Apify, screens and ranks matches using Anthropic Claude, generates tailored resume and cover letter PDFs via DocRaptor, then emails them to you and logs each match in Google Sheets. ## How it works 1. Receives a form submission with your email, target role, seniority, locations, skills, deal-breakers, and resume text. 2. Calls the Apify LinkedIn Job Scraper API to fetch up to 150 jobs posted in the last 7 days for the provided keywords and location. 3. Removes duplicates and filters out obvious mismatches based on seniority, required years of experience patterns, and location rules. 4. Uses Anthropic Claude (Haiku) to score each remaining job for relevance and eligibility and returns a JSON verdict and fit score. 5. Ranks the results, drops rejected roles, and keeps the top five best-scoring matches. 6. Uses Anthropic Claude (Sonnet) to generate a structured resume JSON and cover letter JSON tailored to each shortlisted job using only facts from your provided profile. 7. Renders the resume and cover letter to HTML, converts them to PDF files with DocRaptor, emails the PDFs to you via Gmail, and appends a tracker row to Google Sheets. ## Setup 1. Add credentials for Anthropic (Claude), Gmail, Google Sheets, and DocRaptor (HTTP Basic Auth with your API key as the username and a blank password). 2. Replace YOUR_APIFY_TOKEN in the Apify HTTP request URL and ensure you have access to the Apify LinkedIn Jobs Scraper actor endpoint used in the workflow. 3. Create a Google Sheet with a “Tracker” tab and set the document ID (YOUR_TRACKER_SHEET_ID) to match your sheet. 4. If you want non-watermarked PDFs, set DocRaptor "test" to false in both PDF generation requests.

View

Triage and route tasks with Google Sheets, GPT-4o-mini, Gmail, Slack, and Google Tasks

## Quick Overview This workflow collects tasks via a webhook, stores validated tasks in Google Sheets, and runs a daily prioritization routine that creates urgent items in Google Tasks with Slack alerts while summarizing medium/low tasks with OpenAI and emailing the digest via Gmail. ## How it works 1. Receives a POST webhook request containing task details and normalizes fields like priority and due date. 2. Validates required fields (including allowed priority values) and rejects invalid submissions with an error. 3. Appends valid tasks to Google Sheets with a pending status and returns a success response to the webhook caller. 4. Runs daily on a schedule, reads tasks from Google Sheets, keeps only pending items, removes duplicates, and sorts them by priority. 5. For high-priority tasks, creates a Google Tasks item and sends a Slack alert. 6. For medium and low-priority tasks, compiles a digest, generates an email-ready summary with OpenAI, and sends it via Gmail. 7. Updates each handled task in Google Sheets with a Processed status and a processed timestamp. ## Setup 1. Create a Google Sheet with columns for taskName, priority, category, dueDate, status, createdAt, and processedAt, and update the spreadsheet and sheet IDs in the Google Sheets steps. 2. Add Google Sheets OAuth2 credentials for both reading and updating/appending rows. 3. Add credentials for Google Tasks, Slack (OAuth2), Gmail, and OpenAI, and set the target Google Task list, Slack destination, and email recipients/subject as needed. 4. Copy the webhook URL from the webhook trigger and configure your task intake source to send POST requests with fields like "Task Name", "Priority", "Category", and "Due Date". 5. Adjust the schedule time and any validation rules (required fields and accepted priority values) to match your process.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Build your first AI agent

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

Set up steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note2

Block 2 - Introduction Note

Block 3 - Sticky Note12

Block 4 - Sticky Note13

Block 5 - Sticky Note15

Block 6 - Sticky Note16

Block 7 - Get News

Block 8 - Get Weather

Block 9 - Your First AI Agent

Block 10 - Example Chat

Block 11 - Conversation Memory

Block 12 - Connect Gemini

Block 13 - Sticky Note

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions