Level up a custom digest by using Perplexity Computer to transform a simple text list into a visual, interactive Kanban-style web app for managing notifications and clearing clutter.
Start with a structured text output of your notifications, pre-categorized by source and urgency. This will serve as the data input for your visual dashboard.
Feed the text digest output into Perplexity Computer. Use a clear instruction for your goal.
Turn this text-based list into a visual dashboard.Instruct the AI to create a three-column Kanban board layout corresponding to your urgency levels: a red column for 'Action Required,' yellow for 'Need to Read,' and green for 'FYIs'.
Work with the AI to add key features. This includes filters for your source categories (DMs, threads, etc.) and deep links from each item back to the original message in Slack.
Guide the AI to create a button for the 'FYI' column that not only clears items from the dashboard but also uses the Slack API to mark those messages as read in the Slack app, instantly clearing notification badges.
Shift from writing implementation code to writing human-readable specifications. Write a detailed spec in a markdown file, and let an AI agent handle the entire process of coding, testing, and verification, using the spec as the single source of truth.
Implement bug fixes and small features rapidly by creating a detailed task in Notion and @mentioning a coding agent. The agent reads the task, writes the code, and submits a complete pull request with a live preview link, drastically reducing friction.
Save 20+ minutes daily by creating a custom Notion agent that automatically gathers updates from Slack, GitHub, and Honeycomb to generate a comprehensive standup pre-read document. This keeps your team aligned and focused on problem-solving, not reporting.
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