
Leo has the n8n assistant, powered by Gemini 4 Argon, build a quote request workflow that scores leads, drafts email replies, stores results in a data table and pings Slack for urgent ones.
Oli Morris builds an n8n workflow that fetches Berlin's weather at 8 a.m. every day, turns it into a one-line report and saves it to a data table, first by prompting the n8n Assistant, then node by node by hand.
n8n · YouTube · published Oct 30, 2026 · Automation & Agents
▶ Watch on YouTubeBuild a workflow called Weather Log that runs every day at 8:00 a.m. Get the weather for Berlin from this URL: <your weather API URL>. Add a report field with the city, temperature and conditions, for example "The temperature in Berlin is 10 degrees C and it's currently overcast." Then save the data to a new data table.
Oli Morris builds the same workflow twice in n8n: once by prompting the n8n Assistant, once by hand. It runs every morning at 8:00, fetches Berlin's weather, formats a one-line report and saves it to a data table.
The problem: You want a small automation that runs on its own every day, and you want to understand how n8n workflows actually work.
Do it once with the n8n Assistant, then once by hand to see what happens on the canvas.
Published workflows run on the schedule you defined.
0:00Build a Berlin weather workflow0:31Create with n8n Assistant1:28Write the workflow prompt2:54Approve and test actions4:07Publish the Assistant workflow5:05Build the workflow manually6:33Fetch weather with HTTP Request8:18Create reports with expressions11:19Understand data flow and JSON12:24Store reports in data tables14:42Publish the scheduled workflowDistilled from the video’s captions

Leo has the n8n assistant, powered by Gemini 4 Argon, build a quote request workflow that scores leads, drafts email replies, stores results in a data table and pings Slack for urgent ones.

Liam asks the n8n Assistant in plain language for a workflow that posts a Slack bot message on every new GitHub star, then tests, publishes and verifies it.