Scheduled AI in practice: turning telemetry into a daily health report

This article demonstrates a practical use case for scheduled AI tasks: automatically generating a daily application health report from Azure Application Insights telemetry. The author combines Azure CLI for data querying, an AI model for summarization, and the scheduling feature of AI tools like Claude, Codex, or Copilot. The report includes key metrics such as frequent failures, slow requests, and notable exceptions, enabling proactive monitoring. The workflow can also be used for on-demand queries and investigations. The article emphasizes the integration of existing tools within an AI context, making it a valuable guide for developers looking to automate telemetry analysis.