#Optimize

This prompt assists you to calculate costs for your workload using up-to-date pricing information from the AWS service websites.

Analyzed and summarized an Eclipe MAT report with clear, actionable insights.

Transforms Amazon Q into a speaking coach that analyzes presentation videos, providing detailed feedback on delivery, body language, and content structure. Creates multiple analysis files including comprehensive feedback, timestamp-specific notes, talk structure outline, and a personalized scorecard based on your experience level. Organizes outputs for easy reference and future analyses.

Amazon Q Developer operates more quickly, more accurately, and consistently when properly configured with information it can load quickly. This prompt instructs Q to learn from your project and create context-efficient files that give Q just what it needs, with references to load-on-demand details based on the interaction.

Let Amazon Q prepare your Well-Architected Review, based on an analysis of a provided Cloudformation template