About this AI Agent This workflow is designed to automate web interactions by simulating a human user, using a combination of the Agent node and AI tools powered by Airtop. How does this workflow works? Form Submission Trigger: The workflow starts with a form submission trigger node named "On form submission". This node collects user instructions for the web AI agent, including a prompt and an optional Airtop profile name for sites requiring authentication. AI Agent: The core of the workflow is the "AI Agent" node, which uses a smart web agent to manage a remote web browser. It is designed to fulfill user requests by interacting with the browser through various tools. Browser Session Management Start Browser: The "Start browser" node initiates a new browser session and window. It is essential for obtaining the sessionId and windowId required for subsequent operations. Session and Window Management: The workflow includes nodes for creating and managing browser sessions and windows, such as "Session" and "Window". Web Interaction Tools: Load URL: This node loads a specified URL into the browser window.
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AirtopAnthropic Chat Model
Call n8n Workflow ToolSlack
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Send a daily AI-ranked job match digest with Anthropic and Gmail from 6+ boards
Quick Overview This workflow runs every morning to pull jobs from multiple free job boards (and optional Adzuna), filters and de-duplicates results, scores each role against your resume and preferences using Anthropic, then emails a ranked digest via Gmail. How it works Runs every morning at 08:00 using a schedule trigger. Builds a list of job board API URLs (RemoteOK, Remotive, Arbeitnow, Jobicy, Himalayas, TheMuse, and optional Adzuna) based on your search settings. Fetches job listings from each board over HTTP. Normalizes all responses into a single job format, applies your filters (title keywords, tags, locations/remote, salary, and excluded terms), and de-duplicates roles across boards. Sends your resume, preferences, and the short-listed jobs to an Anthropic-powered AI agent to return a structured fit score, fit reason, risk/concerns, and a tailored first-person pitch for each job. Keeps only roles at or above your minimum score, ranks them by score, and generates an HTML email digest with links and source board attribution. Sends the digest to your target address using Gmail. Setup Add an Anthropic API credential, select an Anthropic chat model, and keep the structured outp
SSlack chatbot powered by AI
This workflow offers an effective way to handle a chatbot's functionality, making use of multiple tools for information retrieval, conversation context storage, and message sending. It's a setup tailored for a Slack environment, aiming to offer an interactive, AI-driven chatbot experience. Note that to use this template, you need to be on n8n version 1.19.4 or later.
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)