Build your first AI agent
Kickstart your journey into intelligent automation by deploying a versatile AI agent that performs real-world actions like checking weather and fetching news. This template utilizes Google Gemini and persistent memory to transform a standard chatbot into a proactive assistant capable of handling complex requests. It provides a modular foundation for building sophisticated, tool-enabled AI systems within n8n.
Run this with your team's AIWhat This Recipe Does
This AI-powered research assistant transforms how your team gathers and processes information. By combining large language models with real-time data retrieval tools, this automation eliminates the manual effort of browsing dozens of websites or news feeds to stay informed. Business leaders and researchers can interact with a dedicated chat interface to ask complex questions about industry trends, competitor activities, or global news. The system uses specialized tools to pull live data from RSS feeds and external web sources, ensuring that the insights provided are current and accurate rather than based on outdated training data. This workflow empowers your organization to make data-driven decisions faster by centralizing information gathering into a single conversational hub. Instead of spending hours every week on manual curation, your team can focus on strategic analysis and execution. The automation acts as a 24/7 intelligence officer, constantly ready to fetch, summarize, and synthesize the specific information you need to stay ahead in a competitive market. It bridges the gap between raw web data and actionable business intelligence.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
StickyNote, RssFeedReadTool, HttpRequestTool, Langchain.agent, Langchain.chatTrigger connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect StickyNote and RssFeedReadTool once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Marketing managers use this assistant to monitor industry news and competitor blog updates to adjust their strategy in real-time.
- Financial analysts utilize the chat interface to pull the latest market reports and news headlines for specific sectors or companies.
- Content creators interact with the agent to identify trending topics and gather source material from various RSS feeds for their next campaign.
Frequently Asked Questions
Can I specify which news sources the agent monitors?
Yes, you can configure the RSS tool to track any valid feed URL relevant to your industry or interests.
Do I need to write code to connect external data?
No, the system uses pre-built tools to handle data requests and feed reading without requiring manual programming.
How current is the information provided by the AI?
Because the agent fetches data in real-time from the web and RSS feeds, it provides the most up-to-date information available at the moment of your request.
Can this be deployed as a standalone tool for my team?
Yes, Runwork converts this workflow into a professional web application that your team can access via a secure and user-friendly chat interface.
Coming from n8n?
This recipe uses nodes like StickyNote, RssFeedReadTool, HttpRequestTool, Langchain.agent and 3 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork