<p>The provided content outlines the design and implementation of a suite of tools for disaster recovery (DR) planning, post-mortem analysis, and DR template reviews using large language models like those available through Amazon Web Services' (AWS) AI services. Below is an overview of each tool described:</p>
<h2>Tool 1: Post-Mortem Writer</h2>
<p>This tool takes raw incident notes as input and generates a structured post-mortem report in Markdown format, including sections such as Summary, Timeline, Root Cause, Impact, What Went Well, What Went Wrong, and Action Items. The system prompt instructs the model to avoid inventing facts not present in the provided notes.</p>
<h2>Tool 2: DR Checklist Builder</h2>
<p>The tool generates a disaster recovery audit checklist based on selected AWS services, environment type, and last DR test date provided by the user as JSON input. The output is formatted as a Markdown checklist with checkboxes for specific AWS features or configurations relevant to the selected services.</p>
<h2>Tool 3: Template DR Reviewer</h2>
<p>This tool analyzes Infrastructure-as-Code (IaC) templates and provides a gap analysis, identifying areas that
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