When to use events
- Mark releases. Tag the day you shipped a new model version, prompt, or RAG pipeline so you can see whether sentiment, error rate, or task completion changed afterwards.
- Mark marketing or onboarding pushes. When you run a campaign that drives new users to the AI product, an event helps explain spikes in conversation volume.
- Mark incidents. A model provider outage or a backend bug becomes much easier to investigate when it is annotated on the chart.
- Mark business milestones. Quarter ends, fiscal-year boundaries, or compliance deadlines.
Create an event
From a chart: click on the chart’s time axis at the moment you want to annotate. This is the fastest way to capture an event in the flow of analysis.

- A title (e.g.
Model upgraded to GPT-4o). - A timestamp.