How it works
- Ask — send a prompt using the CloudThinker Language syntax:
@agent #tool instruction. - Gather — the agent queries live data across your connections: Cost Explorer, CloudWatch, databases, and more.
- Generate — the agent assembles an Artifact with charts, tables, and a written summary.
- Save, download, or rerun — save generated files to Files, download supported Artifacts as PDFs from their PDF URLs, or schedule the prompt to run again.

AWS cost dashboard with spending trends and cost drivers
What you can do
Artifact types
Charts are components of dashboards and reports. The
#chart tag is not a standalone Artifact type.
Example prompts
Start with a one-line request — agents pick sensible defaults for scope and time range:Cost analysis dashboard
Add structure to the instruction when you need specific breakdowns:Cross-domain dashboard
Ask Anna to correlate data that lives in different systems:
Database and infrastructure correlation dashboard
Charts in dashboards and reports
Ask for a chart as part of a dashboard or report:
Aurora query performance time-series chart
Reusable templates
Save parameterized prompts as templates for recurring investigations, then fill in the{variables} on each run:
database_performance_review with cluster_id=production-aurora-cluster, time_period="past 7 days", comparison_period="previous 30 days", and latency_threshold=200.

Performance review dashboard template
Related
Spend and forecast
Dive deeper into spend trends, forecasts, and cost attribution analysis
Infrastructure Analytics
Correlate performance, cost, and reliability signals across connected clouds
CloudThinker Language
Master the full @agent #tool syntax for building effective prompts
Tasks
Rerun prompts in new scheduled conversations