I automated the most distracting part of my morning routine with one email, and it barely took any effort

For years, the author has valued having a routine, even if sticking to it isn't always easy. To streamline their morning, they sought tools that simplify their daily schedule. This morning routine typically involves checking various apps like Gmail, Google Calendar, Asana, Slack, and Trello. However, these apps often divert attention, consuming significant time and causing distractions.

Frustrated by this, the author decided to create a workflow that consolidates their schedule, deadlines, and crucial emails into a single morning briefing.

n8n, a workflow automation tool, was selected for this task. This tool connects the apps the user already uses and instructs them on what to do and when. The user built a workflow by connecting individual nodes on a visual canvas, each with a specific job. One node might check the calendar, while another incorporates the events into an email. The connections between nodes dictate how information flows from one step to the next.

Initially, the author experimented with different methods, including Huxe, an app that delivered personalized morning briefings via podcast. While Huxe proved helpful, it was eventually discontinued. Undeterred, the author then created a custom tool using Claude Code, which allowed them to generate a morning plan from their thoughts. However, they still needed a system to check for updates on their various apps.

Upon starting with n8n, the user was initially overwhelmed by the process of setting up nodes, identifying the necessary ones, and arranging the steps in the correct order. Recognizing this as an ideal opportunity to test the AI assistant, the user provided a clear description of their desired morning briefing. They specified the inclusion of their schedule, overdue or overdue tasks from their to-do list, and any unread emails from the past 24 hours that required a response.

The AI assistant then generated a personalized workflow, incorporating the user's requirements. The user provided additional requests, such as highlighting up to three pressing matters at the beginning of the briefing, including direct links to the original items, and including important events from the next seven days. For flights, the assistant was asked to consider the actual departure date rather than the booking confirmation date.

The user also connected their editorial deadlines from Asana, categorizing tasks into overdue, due today, and upcoming within seven days. While attempting to integrate their college Outlook inbox, they encountered restrictions, deciding to exclude it from the workflow.

Lastly, the user connected Slack, instructing the assistant to monitor direct messages, mentions, and thread replies that required attention. The assistant was also given a specific instruction regarding any overlap between Asana and Slack, ensuring that edits requested by editors were noted alongside the corresponding assignment.

Within minutes, the AI assistant had created the entire workflow. Despite encountering a few initial issues, the assistant was able to identify the problematic steps and provide guidance on how to resolve them. The user appreciated the assistance of the AI in navigating the workflow, as it saved them from the tedious task of troubleshooting each node individually. Upon reviewing the workflow, the author was impressed by the extensive use of nodes, which ultimately resulted in a comprehensive and tailored morning briefing.