+ Nx daemon runs in the background, maintaining up-to-date
+ workspace metadata
+
+
+
+
+
+
+ 2
+
+
+
+ This rich contextual data is processed and optimized for AI
+ consumption
+
+
+
+
+
+
+ 3
+
+
+
+ Nx Console exposes the data to your AI assistant via an MCP
+
+
+
+
+
+
+ {/* Right Side - Image */}
+
+
+
+
+
+
+
+
+ {/* Flow diagram with connected boxes */}
+
+ {/* Nx Console Box */}
+
+
+
+
+
+
+ Start with Nx Console
+
+
+
+ Install the Nx Console Extension, available for VSCode, Cursor,
+ and IntelliJ.
+
+
+ {/* Right arrow - only visible on md and larger screens */}
+
+
+
+
+
+
+ {/* Down arrow - only visible on small screens */}
+
+
+
+
+
+
+
+ {/* MCP Box */}
+
+
+
+
+
+
+ Nx MCP
+
+
+
+ Nx Console automatically registers its MCP server or you can
+ configure it in any MCP compatible client.
+
+
+ {/* Right arrow - only visible on md and larger screens */}
+
+
+
+
+
+
+ {/* Down arrow - only visible on small screens */}
+
+
+
+
+
+
+
+ {/* Enhanced LLM Workflow Box */}
+
+
+
+
+
+
+
+
+ Enhanced LLM workflow
+
+
+
+ Your existing AI tools understand your workspace architecture
+ without changing your development habits.
+
+
+
+
+
+
+ );
+}
diff --git a/nx-dev/ui-ai-landing-page/tsconfig.json b/nx-dev/ui-ai-landing-page/tsconfig.json
new file mode 100644
index 0000000000..3c41f10fb2
--- /dev/null
+++ b/nx-dev/ui-ai-landing-page/tsconfig.json
@@ -0,0 +1,20 @@
+{
+ "compilerOptions": {
+ "jsx": "react-jsx",
+ "allowJs": false,
+ "esModuleInterop": false,
+ "allowSyntheticDefaultImports": true,
+ "strict": true
+ },
+ "files": [],
+ "include": [],
+ "references": [
+ {
+ "path": "./tsconfig.lib.json"
+ },
+ {
+ "path": "./tsconfig.spec.json"
+ }
+ ],
+ "extends": "../../tsconfig.base.json"
+}
diff --git a/nx-dev/ui-ai-landing-page/tsconfig.lib.json b/nx-dev/ui-ai-landing-page/tsconfig.lib.json
new file mode 100644
index 0000000000..578a3fb7dd
--- /dev/null
+++ b/nx-dev/ui-ai-landing-page/tsconfig.lib.json
@@ -0,0 +1,23 @@
+{
+ "extends": "./tsconfig.json",
+ "compilerOptions": {
+ "outDir": "../../dist/out-tsc",
+ "types": [
+ "node",
+ "@nx/react/typings/cssmodule.d.ts",
+ "@nx/react/typings/image.d.ts"
+ ]
+ },
+ "exclude": [
+ "jest.config.ts",
+ "src/**/*.spec.ts",
+ "src/**/*.test.ts",
+ "src/**/*.spec.tsx",
+ "src/**/*.test.tsx",
+ "src/**/*.spec.js",
+ "src/**/*.test.js",
+ "src/**/*.spec.jsx",
+ "src/**/*.test.jsx"
+ ],
+ "include": ["src/**/*.js", "src/**/*.jsx", "src/**/*.ts", "src/**/*.tsx"]
+}
diff --git a/nx-dev/ui-ai-landing-page/tsconfig.spec.json b/nx-dev/ui-ai-landing-page/tsconfig.spec.json
new file mode 100644
index 0000000000..ec9d3e281b
--- /dev/null
+++ b/nx-dev/ui-ai-landing-page/tsconfig.spec.json
@@ -0,0 +1,22 @@
+{
+ "extends": "./tsconfig.json",
+ "compilerOptions": {
+ "outDir": "../../dist/out-tsc",
+ "module": "commonjs",
+ "moduleResolution": "node10",
+ "jsx": "react-jsx",
+ "types": ["jest", "node"]
+ },
+ "include": [
+ "jest.config.ts",
+ "src/**/*.test.ts",
+ "src/**/*.spec.ts",
+ "src/**/*.test.tsx",
+ "src/**/*.spec.tsx",
+ "src/**/*.test.js",
+ "src/**/*.spec.js",
+ "src/**/*.test.jsx",
+ "src/**/*.spec.jsx",
+ "src/**/*.d.ts"
+ ]
+}
diff --git a/nx-dev/ui-icons/src/index.ts b/nx-dev/ui-icons/src/index.ts
index 1dea615205..e01d3784cd 100644
--- a/nx-dev/ui-icons/src/index.ts
+++ b/nx-dev/ui-icons/src/index.ts
@@ -2,6 +2,7 @@
export * from './lib/ai/cursor';
export * from './lib/ai/github-copilot';
export * from './lib/ai/intellij-ai';
+export * from './lib/ai/model-context-protocol';
// CI PROVIDERS
export * from './lib/ci-providers/azure-devops';
diff --git a/nx-dev/ui-icons/src/lib/ai/model-context-protocol.tsx b/nx-dev/ui-icons/src/lib/ai/model-context-protocol.tsx
new file mode 100644
index 0000000000..7eb765c1e1
--- /dev/null
+++ b/nx-dev/ui-icons/src/lib/ai/model-context-protocol.tsx
@@ -0,0 +1,21 @@
+import { FC, SVGProps } from 'react';
+
+/**
+ * Model Context Protocol (MCP) icon.
+ */
+export const ModelContextProtocolIcon: FC> = (
+ props
+) => (
+
+ ModelContextProtocol
+
+
+
+);
diff --git a/nx-dev/ui-icons/src/lib/products.tsx b/nx-dev/ui-icons/src/lib/products.tsx
index 78706a2b9a..9eb7433fa9 100644
--- a/nx-dev/ui-icons/src/lib/products.tsx
+++ b/nx-dev/ui-icons/src/lib/products.tsx
@@ -130,3 +130,19 @@ export const NxConsoleIcon: FC> = (props) => (
/>
);
+
+export const NxConsoleSmallIcon: FC> = (props) => (
+
+
+
+);
diff --git a/tools/ai-landing-tasks.md b/tools/ai-landing-tasks.md
new file mode 100644
index 0000000000..1bb9644d4c
--- /dev/null
+++ b/tools/ai-landing-tasks.md
@@ -0,0 +1,222 @@
+# Nx AI Landing Page Implementation
+
+This file tracks the implementation of a new AI-focused landing page for Nx, based on the content strategy from `nx-ai-landing-page-copy.md`. The page will showcase how Nx enhances AI assistants with workspace intelligence.
+
+## Completed Tasks
+
+- [x] Create initial task list
+
+## In Progress Tasks
+
+- [ ] Project setup and scaffolding
+
+## Future Tasks
+
+### Project Setup
+
+- [ ] Create UI Library for AI Landing Page Components
+
+ - Run `nx g @nx/react:lib nx-dev/ui-ai-landing-page`
+ - Configure project structure similar to ui-enterprise
+ - Set up proper export patterns in index.ts
+
+- [ ] Create Next.js Page Component for AI Landing Page
+
+ - Create `nx-dev/nx-dev/app/ai/page.tsx` following same structure as React page
+ - Set up metadata and SEO properties
+ - Import components from new ui-ai-landing-page library
+
+- [ ] Configure Routing and Navigation
+ - Update navigation components to include AI landing page
+ - Configure proper routing in Next.js app
+
+### Component Development
+
+- [ ] Create Hero Component
+
+ - Implement in `nx-dev/ui-ai-landing-page/src/lib/hero.tsx`
+ - Use headline "Make Your AI Assistant 10x Smarter"
+ - Add sub-headline with proper styling
+ - Create split-screen visual comparison (before/after)
+ - Add primary CTA "Enhance Your AI Assistant"
+ - Add secondary CTA "Watch 3-min Demo"
+
+- [ ] Create Video Demo Component
+
+ - Implement in `nx-dev/ui-ai-landing-page/src/lib/nx-ai-benefits-video`
+ - Create thumbnail with play button
+ - Set up video modal similar to existing examples
+ - Connect to appropriate YouTube video link
+
+- [ ] Create Problem Statement Component
+
+ - Implement in `nx-dev/ui-ai-landing-page/src/lib/problem-statement.tsx`
+ - Add section heading "Why Your AI Assistant Struggles with Enterprise Codebases"
+ - Create visual elements for the three core problems
+ - Add diagram comparing LLM "street view" vs Nx "map view"
+
+- [ ] Create Solution Overview Component
+
+ - Implement in `nx-dev/ui-ai-landing-page/src/lib/solution-overview.tsx`
+ - Add headline "Nx Provides the Missing Context Your AI Needs"
+ - Create visual elements for the three core value props
+ - Add appropriate styling and animations
+
+- [ ] Create Features Container Component
+
+ - Implement in `nx-dev/ui-ai-landing-page/src/lib/features.tsx`
+ - Create wrapper structure for all feature sections
+
+- [ ] Create Individual Feature Components
+
+ - Implement workspace intelligence feature (`workspace-intelligence.tsx`)
+ - Implement CI integration feature (`ci-integration.tsx`)
+ - Implement terminal integration feature (`terminal-integration.tsx`)
+ - Implement smart code generation feature (`smart-code-generation.tsx`)
+ - Implement documentation-aware feature (`documentation-aware.tsx`)
+
+- [ ] Create Demo Snippets
+
+ - Implement visual demos for each feature section
+ - Create stylized code snippets demonstrating features
+
+- [ ] Create Technical Implementation Component
+
+ - Implement in `nx-dev/ui-ai-landing-page/src/lib/technical-implementation.tsx`
+ - Add headline "Powered by Nx's Rich Workspace Intelligence"
+ - Create visual elements for explaining how it works
+ - Add integration options section
+
+- [ ] Create Use Cases Component
+
+ - Implement in `nx-dev/ui-ai-landing-page/src/lib/use-cases.tsx`
+ - Create visual elements for each use case scenario
+ - Add appropriate icons and styling
+
+- [ ] Create Competitive Differentiation Component
+
+ - Implement in `nx-dev/ui-ai-landing-page/src/lib/competitive-differentiation.tsx`
+ - Add headline "Why Large Workspaces Are AI Future-Proof"
+ - Create visual comparison for each key point
+
+- [ ] Create Social Proof Component
+
+ - Implement in `nx-dev/ui-ai-landing-page/src/lib/social-proof.tsx`
+ - Add headline "Join Forward-Thinking Teams Already Using AI-Enhanced Nx"
+ - Create carousel for customer testimonials
+ - Add customer logos section
+
+- [ ] Create Getting Started Component
+
+ - Implement in `nx-dev/ui-ai-landing-page/src/lib/getting-started.tsx`
+ - Add headline "Transform Your AI Assistant in Minutes"
+ - Create visual step-by-step guide with three steps
+ - Add technical requirements section
+
+- [ ] Create Resources Component
+
+ - Implement in `nx-dev/ui-ai-landing-page/src/lib/resources.tsx`
+ - Add featured content with video links
+ - Add blog series links
+ - Add additional resources section
+
+- [ ] Create Call-to-Action Component
+
+ - Implement in `nx-dev/ui-ai-landing-page/src/lib/call-to-action.tsx`
+ - Add strong headline encouraging action
+ - Add primary and secondary CTAs
+ - Add appropriate styling and animations
+
+- [ ] Create Shared UI Components
+ - Create comparison slider component for before/after visuals
+ - Create stylized code snippets component
+ - Create feature card component template
+ - Create animated icon components for features
+
+### Integration and Testing
+
+- [ ] Assemble Components in Page
+
+ - Assemble all components in proper order in page.tsx
+ - Ensure proper spacing and responsive layout
+ - Add scroll anchors for navigation
+
+- [ ] Implement Responsive Design
+
+ - Ensure all components are responsive for mobile, tablet and desktop
+ - Implement proper dark mode support
+ - Test across different viewport sizes
+
+- [ ] Optimize Performance
+
+ - Lazy load videos and heavy content
+ - Optimize images for web
+ - Implement proper caching strategies
+
+- [ ] Perform Component Testing
+
+ - Create tests for critical components
+ - Test responsive behavior
+ - Test dark/light mode switching
+
+- [ ] Perform Page Integration Testing
+
+ - Test full page rendering
+ - Test navigation to/from page
+ - Test all links and CTAs
+
+- [ ] Conduct Final Review
+
+ - Review content for grammar and style consistency
+ - Verify all links work correctly
+ - Check analytics tracking
+
+- [ ] Prepare for Release
+ - Coordinate with marketing for announcement
+ - Prepare social media assets
+ - Set up tracking for KPIs
+
+## Implementation Plan
+
+The AI landing page will be implemented following the React landing page structure as a model. We'll create a dedicated UI library for all AI landing page components, similar to the ui-enterprise library.
+
+The page will feature multiple sections based on the content strategy in `nx-ai-landing-page-copy.md`:
+
+1. **Hero Section**: Eye-catching introduction with a clear value proposition
+2. **Video Demo**: Showcase Nx AI capabilities in action
+3. **Problem Statement**: Explain challenges AI assistants face with enterprise codebases
+4. **Solution Overview**: How Nx provides the missing context
+5. **Features Deep Dive**: Detailed exploration of key features and capabilities
+6. **Technical Implementation**: Explanation of how the integration works
+7. **Use Cases**: Real-world scenarios demonstrating value
+8. **Competitive Differentiation**: Why Nx + AI is superior
+9. **Social Proof**: Testimonials and customer examples
+10. **Getting Started**: Simple steps to implement
+11. **Resources**: Additional learning materials
+12. **Call-to-Action**: Final conversion point
+
+The implementation will follow best practices for responsive design, accessibility, and performance optimization. We'll prioritize component reusability and maintain consistency with existing Nx design patterns.
+
+### Relevant Files
+
+Overall project information is in `./nx-ai-landing-page-copy.md`.
+
+- `nx-dev/ui-ai-landing-page/src/index.ts` - Main exports for the AI landing page library
+- `nx-dev/ui-ai-landing-page/src/lib/hero.tsx` - Hero component with main headline and CTAs
+- `nx-dev/ui-ai-landing-page/src/lib/nx-ai-benefits-video/` - Video demo components
+- `nx-dev/ui-ai-landing-page/src/lib/problem-statement.tsx` - Problem statement section
+- `nx-dev/ui-ai-landing-page/src/lib/solution-overview.tsx` - Solution overview section
+- `nx-dev/ui-ai-landing-page/src/lib/features.tsx` - Features container component
+- `nx-dev/ui-ai-landing-page/src/lib/workspace-intelligence.tsx` - Workspace intelligence feature
+- `nx-dev/ui-ai-landing-page/src/lib/ci-integration.tsx` - CI integration feature
+- `nx-dev/ui-ai-landing-page/src/lib/terminal-integration.tsx` - Terminal integration feature
+- `nx-dev/ui-ai-landing-page/src/lib/smart-code-generation.tsx` - Smart code generation feature
+- `nx-dev/ui-ai-landing-page/src/lib/documentation-aware.tsx` - Documentation-aware feature
+- `nx-dev/ui-ai-landing-page/src/lib/technical-implementation.tsx` - Technical implementation section
+- `nx-dev/ui-ai-landing-page/src/lib/use-cases.tsx` - Use cases section
+- `nx-dev/ui-ai-landing-page/src/lib/competitive-differentiation.tsx` - Competitive differentiation section
+- `nx-dev/ui-ai-landing-page/src/lib/social-proof.tsx` - Social proof section
+- `nx-dev/ui-ai-landing-page/src/lib/getting-started.tsx` - Getting started section
+- `nx-dev/ui-ai-landing-page/src/lib/resources.tsx` - Resources section
+- `nx-dev/ui-ai-landing-page/src/lib/call-to-action.tsx` - Call to action section
+- `nx-dev/nx-dev/app/ai/page.tsx` - Main Next.js page component for the AI landing page
diff --git a/tools/nx-ai-landing-page-copy.md b/tools/nx-ai-landing-page-copy.md
new file mode 100644
index 0000000000..589a9f33fe
--- /dev/null
+++ b/tools/nx-ai-landing-page-copy.md
@@ -0,0 +1,287 @@
+# Nx AI Landing Page: Content Strategy & Structure
+
+## Executive Summary
+
+Based on the analysis of Nx's AI blog series and existing landing pages, here's a comprehensive strategy for an AI-focused landing page that positions Nx as the essential foundation for AI-powered development in monorepos.
+
+## Page Structure & Content Strategy
+
+### Hero Section
+
+**Primary Headline:** "Make Your AI Assistant 10x Smarter"
+**Sub-headline:** "Integrate Nx's workspace intelligence directly into your existing AI assistant through MCP - transforming basic code helpers into architecturally-aware development partners."
+
+**Primary CTA:** "Enhance Your AI Assistant"
+**Secondary CTA:** "Watch 3-min Demo"
+
+### Problem Statement Section
+
+**Headline:** "Why Your AI Assistant Struggles with Enterprise Codebases"
+
+**Four Core Problems:**
+
+1. **Limited Context** - LLMs only see individual files, missing architectural relationships. As monorepos grow larger, this problem compounds dramatically, requiring developers to manually provide context for every interaction.
+
+2. **Inconsistent Output** - AI generates code that doesn't follow your team's best practices and may introduce breaking changes by deprecating components it doesn't see being used elsewhere in the codebase.
+
+3. **No Workspace Awareness** - Can't understand project dependencies, ownership, or integration points, making it difficult for AI to know where to start when fixing issues across multiple projects.
+
+4. **Manual Context Burden** - Developers must constantly provide the same contextual information about project structure, relationships, and interdependencies, negating much of the productivity gains AI promises.
+
+**Visual:** Diagram showing LLM with limited "street view" vs. Nx providing "map view" of codebase, with callouts showing the increasing context burden as repository size grows.
+
+**Additional Callout Box:**
+"As monorepos scale, AI tools become progressively less effective - a challenge that only architectural intelligence can solve. While type safety provides some guardrails, it's not enough without true workspace understanding."
+
+### Solution Overview Section
+
+**Headline:** "Nx Provides the Missing Context Your AI Needs"
+
+**Core Value Props:**
+
+1. **Architectural Awareness** - Move from file-level to workspace-level understanding
+2. **Predictable + Intelligent** - Combine consistent generators with AI customization
+3. **Integrated Workflows** - Connect editor, CI, and AI for seamless development
+
+### Features Deep Dive
+
+#### 1. Workspace Intelligence
+
+**Headline:** "Elevate Your AI from File-Level to Architecture-Level Understanding"
+
+**Content:**
+
+- Project relationship mapping
+- Dependency analysis and impact assessment
+- Team ownership and responsibility identification
+- Technology stack and configuration understanding
+
+**Demo:** "Ask your AI: 'If I change the API of this library, which teams need to know?'"
+
+**Resources:**
+
+- 📹 [Watch: Nx Just Made Your LLM Way Smarter](https://youtu.be/RNilYmJJzdk)
+- 📖 [Blog: Nx Just Made Your LLM Way Smarter](/blog/nx-just-made-your-llm-smarter)
+
+#### 2. CI Integration & Failure Resolution
+
+**Headline:** "Fix CI Issues Before You Even Know They Exist"
+
+**Content:**
+
+- Real-time CI failure notifications in your editor
+- AI-powered failure analysis and suggested fixes
+- Access to detailed Nx Cloud pipeline data
+- Automated resolution suggestions
+
+**Demo:** "Get notified of CI failures and let AI suggest the fix"
+
+**Resources:**
+
+- 📹 [Watch: Connect Your Editor, CI and LLMs](https://youtu.be/fPqPh4h8RJg)
+- 📖 [Blog: Save Time: Connecting Your Editor, CI and LLMs](/blog/nx-editor-ci-llm-integration)
+
+#### 3. Terminal Integration & Live Assistance
+
+**Headline:** "Your AI Assistant Sees What You See in the Terminal"
+
+**Content:**
+
+- Real-time terminal output awareness
+- Live task execution monitoring
+- Contextual error analysis and fixes
+- No more copy-pasting terminal errors
+
+**Demo:** "Run a task that fails, and AI immediately offers solutions based on the actual error output"
+
+**Resources:**
+
+- 📖 Blog post coming soon
+
+#### 4. Smart Code Generation
+
+**Headline:** "Predictable Generators + AI Intelligence"
+
+**Content:**
+
+- Nx generators provide consistent, tested scaffolding
+- AI adds contextual customization and integration
+- Human-in-the-loop workflow for quality control
+- Workspace-aware code integration
+
+**Demo:** "Generate a new library and automatically connect it to existing projects"
+
+**Resources:**
+
+- 📹 [Watch: Enhancing Nx Generators with AI](https://youtu.be/PXNjedYhZDs)
+- 📖 [Blog: Combining Predictability and Intelligence With Nx Generators and AI](/blog/nx-generators-ai-integration)
+
+#### 5. Documentation-Aware Assistance
+
+**Headline:** "Always Up-to-Date, Never Hallucinating"
+
+**Content:**
+
+- Live access to current Nx documentation
+- Context-aware configuration guidance
+- Best practices enforcement
+- Migration assistance
+
+**Resources:**
+
+- 📹 [Watch: Making Cursor Smarter with MCP](https://youtu.be/V2W94Sq_v6A)
+- 📖 [Blog: Making Cursor Smarter with an MCP Server For Nx](/blog/nx-made-cursor-smarter)
+
+### Technical Implementation Section
+
+**Headline:** "Powered by Nx's Rich Workspace Intelligence"
+
+**Content:**
+Nx already maintains comprehensive metadata about your workspace to optimize builds, manage dependencies, and enforce architectural boundaries. The Nx daemon continuously monitors your workspace, tracking project relationships and updates in real-time to keep this intelligence current and accurate.
+
+**How It Works:**
+
+- Nx daemon runs in the background, maintaining up-to-date workspace metadata
+- This rich contextual data is processed and optimized for AI consumption
+- Intelligence is exposed through the Model Context Protocol (MCP)
+- Integrates seamlessly into your existing AI assistant workflows
+
+**The key advantage:** Rather than building something entirely new, this enhances the AI tools you already use and trust, making your existing collaboration with LLMs significantly more powerful and context-aware.
+
+**Integration Options:**
+
+- **Nx Console Extension**: Available for VSCode, Cursor, and IntelliJ
+- **Pure MCP Server**: Works with any MCP-compatible client (Claude Desktop, Cline, Windsurf, etc.)
+- **Existing Workflow**: Enhances your current AI assistant without changing your development habits
+
+### Use Cases & Examples
+
+#### Enterprise Developer
+
+**Scenario:** "Understanding impact of API changes across 50+ projects in a large workspace"
+**Solution:** AI uses project graph to identify all affected teams and suggests migration strategy
+
+#### New Team Member
+
+**Scenario:** "Getting up to speed on complex multi-project architecture"
+**Solution:** AI explains project relationships, ownership, and where to implement features
+
+#### DevOps Engineer
+
+**Scenario:** "Optimizing CI/CD pipeline performance across multiple related projects"
+**Solution:** AI analyzes Nx Cloud data to suggest task distribution and caching improvements
+
+### Competitive Differentiation
+
+**Headline:** "Why Large Workspaces Are AI Future-Proof"
+
+**Key Points:**
+
+1. **Complete Context** - All related projects in one workspace vs. scattered repositories
+2. **Rich Metadata** - Nx's architectural understanding vs. basic file access
+3. **Predictable Patterns** - Consistent generators vs. variable AI output
+4. **Integrated Tooling** - Connected workflow vs. isolated tools
+
+### Social Proof Section
+
+**Headline:** "Join Forward-Thinking Teams Already Using AI-Enhanced Nx"
+
+**Featured Testimonials:**
+
+- Focus on teams using AI + Nx successfully
+- Metrics: reduced onboarding time, faster feature delivery
+- Use existing customer logos where applicable
+
+### Getting Started Section
+
+**Headline:** "Transform Your AI Assistant in Minutes"
+
+**Three Steps:**
+
+1. **Install Nx Console** - Available for VSCode, Cursor, IntelliJ
+2. **Enable MCP Integration** - One-click setup
+3. **Start Asking Better Questions** - AI now understands your workspace
+
+**Technical Requirements:**
+
+- Existing Nx workspace or `nx init` for new setup
+- Compatible AI assistant (Copilot, Claude, etc.)
+- Nx Console extension
+
+### Resources & Next Steps
+
+**Featured Content:**
+
+- 📹 [Nx Just Made Your LLM Way Smarter](https://youtu.be/RNilYmJJzdk) - Foundation overview
+- 📹 [Why Nx and AI Work So Well Together](https://youtu.be/[video-url]) - Strategic perspective
+- 📹 [Making Cursor Smarter with MCP](https://youtu.be/V2W94Sq_v6A) - Cursor setup guide
+- 📹 [Nx MCP for VS Code Copilot](https://youtu.be/dRQq_B1HSLA) - VSCode setup guide
+- 📹 [Enhancing Nx Generators with AI](https://youtu.be/PXNjedYhZDs) - Smart generation workflow
+
+**Blog Series:**
+
+- 📖 [Nx Just Made Your LLM Way Smarter](/blog/nx-just-made-your-llm-smarter) (foundational post)
+- 📖 [Making Cursor Smarter with an MCP Server](/blog/nx-made-cursor-smarter) (Cursor integration)
+- 📖 [Nx MCP Now Available for VS Code Copilot](/blog/nx-mcp-vscode-copilot) (VSCode integration)
+- 📖 [Nx and AI: Why They Work so Well Together](/blog/nx-and-ai-why-they-work-together) (strategic overview)
+- 📖 [Combining Predictability and Intelligence With Nx Generators and AI](/blog/nx-generators-ai-integration) (generator workflow)
+
+**Additional Resources:**
+
+- Live demo videos
+- Documentation links
+- Community Discord for questions
+- Blog series for deep dives
+
+## Page Optimization Strategy
+
+### SEO Keywords
+
+**Primary:** "AI workspace development", "LLM code assistant", "Nx AI integration", "multi-project AI tools"
+**Secondary:** "enterprise AI development", "intelligent code generation", "MCP server", "workspace AI tools"
+
+### Conversion Optimization
+
+1. **Multiple entry points** - Different CTAs for different user types
+2. **Progressive disclosure** - Start with benefits, dive into technical details
+3. **Social proof throughout** - Testimonials and usage stats
+4. **Risk reduction** - Free trial, easy setup, existing workspace compatibility
+
+### Developer-Focused Messaging
+
+- Technical accuracy and specificity
+- Real code examples and demos
+- Focus on productivity gains and workflow improvements
+- Emphasis on maintaining control and predictability
+
+## Content Tone & Voice
+
+**Technical but Accessible:** Explain complex concepts clearly without dumbing down
+**Benefit-Focused:** Lead with outcomes, support with features
+**Confident but Not Overhyped:** Realistic about current capabilities while showing vision
+**Developer-to-Developer:** Written by and for engineers who understand the pain points
+
+## Success Metrics
+
+### Primary KPIs
+
+- Nx Console downloads/installs
+- MCP server configurations
+- AI-related feature adoption
+- Time-to-first-AI-query in workspace
+
+### Secondary KPIs
+
+- Page engagement time
+- Video completion rates
+- Documentation page visits from AI landing page
+- Community Discord joins related to AI features
+
+## Implementation Recommendations
+
+1. **Start with Core Message Testing** - A/B test hero section messaging
+2. **Progressive Rollout** - Begin with essential features, add advanced use cases
+3. **Continuous Content Updates** - Regular examples and case studies as features evolve
+4. **Community Feedback Loop** - Use Discord and GitHub discussions to refine messaging
+
+This landing page strategy positions Nx as the essential infrastructure for AI-powered development, focusing on the unique value of architectural awareness and workspace intelligence that generic AI tools simply cannot provide.
diff --git a/tsconfig.base.json b/tsconfig.base.json
index 9019aa1a2a..c64023e782 100644
--- a/tsconfig.base.json
+++ b/tsconfig.base.json
@@ -93,6 +93,9 @@
"@nx/nx-dev/models-document": ["nx-dev/models-document/src/index.ts"],
"@nx/nx-dev/models-menu": ["nx-dev/models-menu/src/index.ts"],
"@nx/nx-dev/models-package": ["nx-dev/models-package/src/index.ts"],
+ "@nx/nx-dev/ui-ai-landing-page": [
+ "nx-dev/ui-ai-landing-page/src/index.ts"
+ ],
"@nx/nx-dev/ui-animations": ["nx-dev/ui-animations/src/index.ts"],
"@nx/nx-dev/ui-blog": ["nx-dev/ui-blog/src/index.ts"],
"@nx/nx-dev/ui-brands": ["nx-dev/ui-brands/src/index.ts"],