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The best way to understand Nightshift is to watch a real task go end-to-end: prompt an agent, let it query and organize your data, and end up with something durable — a set of clean views, a saved notebook, or a live app. Each example is written as a conversation you can replay. The prompts are real prompts; you can paste them into Claude (with the Nightshift connector set up) and follow along against your own data.

Organizing site analytics data

Take a raw stream of page-view events and turn it into clean views, a KPI dashboard, and a shareable traffic app.
More examples are on the way. If there’s a workflow you’d like to see covered, tell us at nightshift.sh.