Add redirect and address code comments

Author: Alex Krawiec

docs/product/ai-in-sentry/index.mdx

@@ -12,6 +12,10 @@ Sentry leverages artificial intelligence and machine learning to enhance your de
 
 Seer is Sentry's AI agent that provides intelligent analysis and automated solutions for your code issues. Seer combines issue detection, analysis, and automated fixing capabilities to streamline your debugging workflow.
 
-- **[Issue Scan](/product/ai-in-sentry/seer/issue-scan/)**: Intelligent scanning and analysis of issues with actionability scoring
 - **[Issue Fix](/product/ai-in-sentry/seer/issue-fix/)**: Automated root cause analysis and code fixes powered by AI
-- **[Privacy & Security](/product/ai-in-sentry/seer/seer-privacy-security/)**: Understanding how Seer handles your data securely
+- **Issue Scan**: Intelligent scanning and analysis of issues with actionability scoring
+- **[Privacy & Security](/product/ai-in-sentry/seer/seer-privacy-security/)**: Understanding how Seer handles your data securely
+
+## Issue Summary
+
+Issue Summary provides a quick overview of an issue by highlighting key insights taken from event and issue-level metadata. You'll see a quick overview of what's going wrong, a potential cause, and if relevant, insights from trace-connected issues.

docs/product/ai-in-sentry/seer/index.mdx

@@ -4,15 +4,14 @@ description: "Learn about Seer, Sentry's AI agent, and managing generative AI fe
 sidebar_order: 21
 ---
 
-Seer is Sentry's AI agent that powers a set of features built on generative AI and ML that uses Sentry's rich context (issue details, tracing data, and profiles) to help you understand and resolve issues faster. 
+Seer is Sentry's AI agent that powers a set of features built on generative AI and ML that uses Sentry's rich context (issue details, tracing data, and profiles) to help you understand and resolve issues faster.
 
 ## Seer Capabilities
 
 Seer provides two main capabilities to enhance your debugging:
 
 - [**Issue Fix**](#issue-fix): A collaborative workflow to find the root cause and solution of issues
-- [**Issue Scan**](#issue-summary): Intelligently analyzes your issues and provides actionability scores to help you prioritize what to work on.
-
+- **Issue Scan**: Intelligently analyzes your issues and provides actionability scores to help you prioritize what to work on.
 
 ### Issue Fix
 
@@ -31,17 +30,17 @@ Learn more about [Issue Fix](./issue-fix/).
 Issue Scan intelligently analyzes your issues and helps you prioritize what to work on. With Issue Scan, you can:
 
 - Filter issues by their latest scan results
-- View actionability scores that indicate how likely an issue is to be resolvable 
+- View actionability scores that indicate how likely an issue is to be resolvable
 - Se Seer labels in the issue stream for quick identification
 - Get insights into which issues need immediate attention
 
 ## How Seer Works
 
 Seer leverages multiple data sources to provide accurate analysis and solutions:
 
-- **Issue Context**: Error messages, stack traces, and event metadata from your [Issues]()
-- **Tracing Data**: Distributed [traces]() and span information
-- **Your Codebase**: Relevant code from linked GitHub repositories
+- **Issue Context**: Error messages, stack traces, and event metadata from your [Issues](/product/issues/)
+- **Tracing Data**: Distributed [traces](/concepts/key-terms/tracing/#whats-a-trace) and span information
+- **Your Codebase**: Relevant code from linked GitHub repositories and [logs](/product/explore/logs/)
 - **Performance Data**: Profiles and performance metrics
 - **Interactive Feedback**: Your input and guidance during the process
 
@@ -59,10 +58,12 @@ To start using Seer's capabilities:
 We use the data listed below to provide insights, analysis, and solutions for your review. Your data will not be used to train any generative AI models without your express consent and AI-generated output from your data is shown only to you, not other customers. Our generative AI features are powered by generative AI models hosted by subprocessors identified on our [subprocessor list](https://sentry.io/legal/subprocessors/). Our subprocessors are only permitted to use the data as directed by us.
 
 The data used for these features includes:
+
 - Error messages
 - Stack traces
 - Sentry spans
 - DOM interactions
+- Logs
 - Profiles
 - Relevant code from linked repositories
 

redirects.js

@@ -1178,6 +1178,10 @@ const userDocsRedirects = [
     source: '/organization/integrations/expo/',
     destination: '/organization/integrations/deployment/expo/',
   },
+  {
+    source: '/product/issues/issue-details/sentry-seer/',
+    destination: '/product/ai-in-sentry/seer/',
+  },
 ];
 
 /**