Superadmin Platform Access Dashboard

What it does

The Superadmin Platform Access Dashboard gives you quick access to Vanio AI's core analytics and management platforms directly from your main dashboard. Instead of navigating through multiple menus, you can now jump between Repull Platform (customer and traffic analytics), Atlas Intelligence (market data and pricing coverage), and Studio (AI-powered vacation rental management with comprehensive usage metrics and cost tracking) with a single click from dedicated access cards. As a superadmin, you can also view any customer's reservations, listings, and analytics data without switching workspaces first—making it faster to troubleshoot issues or check on specific bookings. When you do need to switch into a customer's account, the workspace switching now works seamlessly across all AI settings pages, ensuring you see their actual configuration instead of your own.

Getting started

Understanding your access level

Vanio AI has two types of superadmin access:

Full superadmin access — Complete access to all features including workspace switching, billing management, investment data, and system operations.

Go-to-market (GTM) access — Most superadmin features with restrictions on sensitive operations. GTM users can view customer data and analytics but cannot switch between customer workspaces or access billing/investment information.

Your access level determines which platform sections and navigation options you'll see in your dashboard.

Accessing the platform dashboard

1. Log into your superadmin account using your administrator credentials
2. Navigate to the superadmin dashboard — this is your main landing page after login
3. Look for the platform access cards at the top of your dashboard, displayed prominently above other dashboard sections

[Screenshot: Superadmin dashboard showing platform access cards - different cards visible based on access level]

Using the platform access cards

1. Click on the Repull card to access developer platform metrics including:

   • Customer analytics and behavior data
   • API usage statistics
   • Traffic funnel performance
   • User conversion metrics

2. Click on the Atlas card (full access only) to access market intelligence including:

   • Pricing coverage across markets
   • Competitive analysis data
   • Market trend monitoring
   • Coverage area performance

3. Click on the Studio card to access AI management insights including:

   • Total plans and variants across your platform
   • Plan status breakdown (proposed, refined, approved, implemented, discarded)
   • Recent plan activity and implementation tracking
   • AI usage metrics and cost analysis — see detailed spending across 24-hour, 7-day, 30-day, and lifetime periods
   • Top-performing projects and customers — identify your highest AI usage and spending patterns
   • Token consumption tracking — monitor AI model input and output volumes
   • Quick links to project management and customer activity

Alternative navigation

You can also access these platforms through the sidebar navigation:

1. Open the sidebar menu (if not already visible)
2. Look for the "Analytics" section in your navigation
3. Choose from available options — the specific platforms shown depend on your access level

Note for GTM users: Some navigation options like "Atlas Intelligence" won't appear in your sidebar menu based on your access restrictions.

[Screenshot: Sidebar navigation showing Analytics section with different options based on access level]

How it works

The platform access system automatically connects you to the appropriate analytics dashboard based on your current permissions and account settings. When you click on any platform card, Vanio AI:

• Verifies your access permissions for the selected platform
• Loads the most recent data available for your account scope
• Maintains your session so you can switch between platforms seamlessly
• Preserves your dashboard state when you return to the main superadmin view
• Respects access restrictions — GTM users are automatically redirected if they try to access restricted areas

Each platform maintains its own set of filters, time ranges, and view preferences, so your settings in one platform won't affect your configuration in the others.

Access control enforcement

Vanio AI automatically enforces access restrictions based on your role:

GTM user restrictions — If you have GTM access, attempting to navigate to restricted areas like billing, investments, or system operations will automatically redirect you back to the main superadmin dashboard with a clear message explaining the restriction.

Workspace switching limitations — GTM users cannot switch between customer workspaces. You'll see customer data in read-only mode within your current access scope, but workspace impersonation is blocked for security.

Navigation filtering — Your sidebar navigation and dashboard cards automatically hide options you don't have access to, preventing confusion about available features.

Workspace switching for superadmins

Seamless AI settings access — When you switch into a customer's workspace, all AI settings pages now properly display their configuration instead of mixing in your own account information. This fix ensures you can troubleshoot customer AI features accurately.

Cross-platform consistency — Workspace switching now works reliably across all platforms and pages, including Studio AI settings, plan configurations, and usage analytics.

Automatic session management — The system automatically maintains your impersonation session as you navigate between different AI settings pages, eliminating the need to re-authenticate or switch workspaces repeatedly.

Studio runtime data integration

The Studio dashboard now pulls comprehensive data from your AI runtime infrastructure, giving you real-time visibility into:

• Live AI cost tracking across multiple time windows (24 hours, 7 days, 30 days, lifetime)
• Usage patterns showing generation counts and token consumption
• Performance insights identifying your most active projects and highest-spending customers
• Graceful error handling — if the runtime data is temporarily unavailable, other dashboard sections continue working normally

Superadmin data access

As a superadmin, you have special viewing privileges that streamline troubleshooting:

• View customer data within your access scope — see reservation details, listing analytics, and pricing information based on your permission level
• Automatic scope detection — when viewing a specific reservation or listing, the system automatically shows you the correct customer's related data and settings
• Read-only cross-customer access — browse customer information for support purposes within your access level
• GTM-specific limitations — GTM users have read-only access to customer data but cannot perform workspace switching or access sensitive financial information
• Seamless troubleshooting — jump directly from a customer support ticket to their reservation details and analytics within your permitted scope
• Accurate impersonation — when you do switch into a customer's workspace (full superadmins only), you'll see their actual AI settings and configuration without interference from your own account data

Understanding Studio metrics

AI cost and usage tracking

The Studio dashboard now includes comprehensive AI cost monitoring with detailed breakdowns:

24-hour costs — Your most recent AI spending with the number of generation calls made in the last day. Perfect for monitoring daily usage spikes or unusual activity.

7-day costs — Weekly AI spending trends with generation counts. Use this to track weekly patterns and identify busy periods in your AI usage.

30-day costs — Monthly spending overview with lifetime cost totals displayed as a secondary metric. Helps with budgeting and long-term cost analysis.

Token consumption — Lifetime input and output token counts formatted in readable units (thousands, millions, billions). Shows the total volume of AI processing across your platform.

[Screenshot: Studio AI cost card showing four metric tiles with dollar amounts, generation calls, and token counts]

Top usage insights

The Studio dashboard highlights your highest-activity projects and customers:

Top projects by AI spend — See your 10 most expensive projects over the last 7 days, with project names, customer IDs, generation counts, and costs. Helps identify which projects are driving AI usage.

Top customers by activity — View your 10 most active customers by AI spend, showing project counts, total generations, and costs. Perfect for understanding usage patterns across your customer base.

[Screenshot: Two tables showing top projects and top customers with columns for names, activity counts, and costs]

Plan status breakdown

The Studio dashboard shows you how AI-generated vacation rental plans move through your platform's workflow:

Proposed — Initial AI-generated plans waiting for review. These represent fresh ideas from the AI system based on customer requirements.

Refined — Plans that have been reviewed and improved. The AI has incorporated feedback and enhanced the original proposal.

Approved — Plans ready for implementation. These have passed review and are cleared for deployment to customer properties.

Implemented — Active plans currently running on customer properties. These are live AI recommendations affecting real bookings.

Discarded — Plans that were rejected or became obsolete. This helps track what approaches didn't work for future AI training.

Activity tracking

The Studio overview gives you real-time insights into AI plan generation:

• Total plans and variants across your entire platform
• Recent activity showing the last 10 plans created, with timestamps and current status
• 24-hour and 7-day activity counts to track AI system usage patterns
• Paid customer count to understand Studio Pro adoption
• Active project metrics — see how many projects were active in the last 24 hours and 7 days
• Generation call tracking — monitor AI generation activity across different time periods

[Screenshot: Studio dashboard showing status breakdown chart with colored segments, recent plans table, and AI usage metrics]

Runtime data availability

When Studio runtime data is temporarily unavailable, you'll see a clear notification:

Data unavailable message — The system shows exactly why runtime data couldn't be loaded (connection issues, maintenance, etc.) while keeping other dashboard sections fully functional.

Graceful degradation — Plan status, recent activity, and other core Studio metrics continue working even when AI cost data is unavailable.

Automatic recovery — Once runtime connectivity is restored, simply refresh the page to see the complete AI usage and cost metrics.

External surfaces

Some Studio data lives on specialized dashboards for deeper analysis:

Projects & deployments — Links to the Studio runtime dashboard where you can see per-customer project counts and deployment history with full technical details.

AI cost tracking — Connects to the Repull AI usage panel where Studio's AI costs are tracked alongside other platform AI usage.

Customer activity — Links to detailed per-project customer activity that requires the Studio runtime's project mapping.

Key features

• Quick access cards: Large, visual cards on your dashboard for immediate platform access
• Role-based navigation: Dashboard automatically shows only the platforms you have access to
• Access level enforcement: GTM users are automatically redirected from restricted areas with clear messaging
• Workspace switching controls: Full superadmins can switch workspaces; GTM users have read-only cross-customer viewing
• Fixed AI settings impersonation: Superadmins now see accurate customer AI settings when switching workspaces, without interference from their own account data
• Cross-platform workspace consistency: Workspace switching works seamlessly across all AI settings pages and platforms
• Visual platform identification: Each platform has distinct colors and icons (Repull with purple lightning, Atlas with orange radar, Studio with blue sparkles)
• Seamless switching: Move between platforms without losing your place or settings
• Real-time data access: All platforms show current data based on your access level
• Comprehensive AI cost tracking: See AI spending across 24-hour, 7-day, 30-day, and lifetime periods with generation call counts
• Usage pattern analysis: Identify top projects and customers by AI activity and spending
• Token consumption monitoring: Track AI model input and output volumes in readable formats
• Graceful error handling: Studio continues working even when runtime data is temporarily unavailable
• Scoped customer viewing: View customer data within your permission level for support and troubleshooting
• Smart data scoping: System automatically shows the right customer context when viewing specific reservations or properties
• Studio plan tracking: Monitor AI-generated vacation rental plans from proposal through implementation
• External surface links: Quick access to specialized dashboards for deeper analysis
• Responsive design: Cards adapt to your screen size for mobile and desktop use
• Hover indicators: Visual feedback when hovering over clickable platform cards
• Clear error reporting: The traffic dashboard shows separate metrics for actual customer issues versus system monitoring

Understanding traffic metrics

Customer API error rate vs health probe failures

The Repull Platform traffic dashboard now provides you with two distinct error rate metrics for better clarity:

Customer API Error Rate — This shows the error rate that your actual guests and customers experience when using your platform. System monitoring checks and background health probes are filtered out, giving you the true picture of guest-facing performance.

Health Probe Failures — This separate metric tracks system monitoring issues that don't affect your customers directly. These background checks help maintain platform health but aren't part of the customer experience.

Why this matters

Previously, system monitoring activity could make your error rates appear higher than what customers actually experienced. Now you can:

• Focus on real customer issues by monitoring the Customer API Error Rate
• Track system health separately through Health Probe Failures
• Make better decisions based on metrics that reflect actual guest experience
• Avoid false alarms from background monitoring that doesn't impact customers

[Screenshot: Traffic dashboard showing separate tiles for "Customer API Error Rate" and "Health Probe Failures" with distinct colors and values]

Tips & best practices

Understand your access level: Know whether you have full or GTM access to set appropriate expectations for available features. GTM users focus on customer analytics and support while full superadmins handle billing and system operations.

Use workspace switching for accurate AI troubleshooting: When helping customers with AI settings issues, switch into their workspace to see their exact configuration. The improved workspace switching ensures you won't see mixed data from your own account.

Verify AI settings after workspace switching: After switching into a customer's workspace, double-check that the AI settings pages show their actual configuration, usage patterns, and plan data rather than your own.

Start with Studio for AI insights: If you're analyzing how AI-powered features are performing across your platform, begin with Studio to understand plan generation patterns, cost trends, and implementation success rates.

Monitor AI cost trends regularly: Check the 24-hour AI costs daily to catch unusual spikes early. Use the 7-day and 30-day views to understand longer-term spending patterns and plan budgets accordingly.

Identify high-value AI usage: Review the top projects and customers tables to understand which parts of your platform drive the most AI activity. This helps optimize resource allocation and customer support priorities.

Watch token consumption patterns: Large increases in input/output tokens without corresponding value generation might indicate inefficient AI usage that needs optimization.

Use Repull for customer insights: When analyzing performance issues or growth opportunities, Repull Platform shows customer behavior and API usage patterns before diving into market data.

Monitor customer-facing metrics first: When checking platform health, look at the Customer API Error Rate as your primary indicator. Health Probe Failures are useful for system monitoring but don't directly impact guest experience.

Use Atlas for competitive analysis (full access only): When planning pricing strategies or market expansion, Atlas Intelligence provides the market context you need to make informed decisions.

Track Studio plan success rates: Monitor the flow from "proposed" to "implemented" to understand how effectively your AI system is generating viable vacation rental strategies.

Plan for runtime data outages: When Studio runtime data is unavailable, focus on the plan status and recent activity data that's always available. The AI metrics will return once connectivity is restored.

Follow external surface links: When you need deeper analysis beyond the Studio overview, use the external surface cards to jump directly to specialized dashboards with full technical details.

Work within your access scope: GTM users should focus on customer support and analytics tasks. If you need billing or investment data, coordinate with full superadmin colleagues.

Leverage scoped customer viewing: GTM users can view customer data for support purposes without needing workspace switching permissions. Use this for troubleshooting and customer assistance.

Bookmark specific views: Once you're in any platform, you can bookmark specific filtered views or reports for even faster access to your most-used analytics.

Check available platforms for complete insights: Customer behavior data from Repull and AI performance from Studio (plus Atlas for full users) gives you comprehensive business performance visibility.

Set up regular review cycles: Consider establishing weekly reviews of available platforms to stay on top of trends and identify opportunities early.

Focus on trends over single spikes: Brief spikes in Health Probe Failures are normal during system maintenance, but sustained increases in Customer API Error Rate need immediate attention.

Correlate AI costs with business value: Compare high AI spending projects with their business outcomes to ensure your AI investment is driving meaningful results.

Common questions

Why don't I see all platform cards on my dashboard? Platform access depends on your administrator permissions and role type. GTM users won't see Atlas Intelligence, billing, or system operation tools. Full superadmins see all available platforms. Contact your system administrator if you think you should have different access.

What happens if I try to access a restricted area as a GTM user? You'll be automatically redirected back to the main superadmin dashboard with a clear message explaining that the feature isn't available for your role. This is normal behavior and protects sensitive areas while letting you access customer support and analytics tools.

Can I switch between customer workspaces with GTM access? No, GTM users cannot perform workspace switching for security reasons. You can view customer data for support purposes within your current access scope, but workspace impersonation requires full superadmin permissions. If you need to make changes to a customer's account, coordinate with a full superadmin.

Why was I seeing my own AI settings when switched into a customer's workspace? This was a known issue that has been fixed. Previously, workspace switching didn't work properly across AI settings pages, causing mixed data display. Now when you switch into a customer's workspace, you'll see only their AI configuration and settings across all pages.

How do I know if workspace switching is working correctly? After switching into a customer's workspace, navigate to their AI settings pages. You should see their specific plan configurations, usage patterns, and cost data—not your own. If you see mixed data or your own account information, try refreshing the page or switching workspaces again.

What does it mean when Studio shows zero plans? This means no AI-generated vacation rental plans have been created yet on your platform. This is normal for new installations or if customers haven't started using Studio features yet.

Why do I see "Studio runtime data unavailable" instead of AI costs? This happens when the AI runtime infrastructure is temporarily unreachable—usually during maintenance or connectivity issues. The rest of your Studio data (plans, status, recent activity) continues working normally. Simply refresh the page once the runtime is back online.

How do I know if my AI costs are too high? Compare your costs against the generation counts and business value created. High costs with many successful generations and plan implementations indicate healthy usage. High costs with few generations might suggest inefficient usage patterns that need attention.

What's the difference between the AI cost tracking here versus other dashboards? The Studio dashboard shows AI costs specifically for vacation rental plan generation and management. Other platforms may track different types of AI usage. For a complete picture of all AI spending across your platform, check the external surface links to specialized cost tracking dashboards.

Can I customize which platforms appear on my dashboard? The platform cards automatically display based on your access permissions and role. GTM users see a filtered set of platforms appropriate for their role. The layout and positioning are optimized for quick access and aren't currently customizable.

What's the difference between using the cards versus the sidebar navigation? Both methods take you to the same platforms with identical functionality. The dashboard cards are designed for quick visual access, while the sidebar navigation provides a more traditional menu structure. Both respect your access level restrictions. Use whichever method feels more comfortable for your workflow.

How do I know what customer data I'm viewing? When you're viewing customer data within your access scope, the system automatically detects and displays the correct customer context. You'll see their actual settings, workflows, and analytics data. The customer's information will be clearly indicated in the interface.

Why are there two different error rate metrics now? The split helps you focus on what matters most for your guests. Customer API Error Rate shows issues that actually affect your customers, while Health Probe Failures track background system monitoring. This prevents system maintenance activities from making your customer-facing performance appear worse than it actually is.

What should I do if Customer API Error Rate is high but Health Probe Failures is low? This indicates a real issue affecting your guests that needs immediate attention. Check the detailed error breakdown and consider reaching out to support if the issue persists.

Why does Studio link to external dashboards for some data? Certain Studio data like detailed project information and per-customer activity requires specialized views that live on the Studio runtime dashboard. The external surface cards provide direct links to these specialized tools when you need deeper analysis beyond the overview metrics.

How accurate are the token consumption numbers? Token counts are pulled directly from your AI runtime infrastructure and represent actual usage. They're formatted in readable units (thousands, millions, billions) but maintain precision for accurate cost calculations and usage analysis.

What does it mean when a project shows no customer ID in the top projects table? This indicates an internal or system-generated project that isn't directly associated with a specific customer account. These are usually test projects or system maintenance activities.

How do I know if I have full or GTM access? GTM users will notice they can't access billing, investments, system operations, or Atlas Intelligence. The navigation menu and dashboard cards automatically filter these options out. If you're unsure about your access level, try navigating to different sections—you'll get clear feedback about what's available to your role.

STRICTLY FORBIDDEN — never mention:

• LLM/AI model names (Claude, GPT, OpenAI, Anthropic, Sonnet, etc.)
• API endpoints, webhooks, database tables, schemas, migrations
• Internal service/handler/worker/queue names
• Code architecture, file paths, environment variables
• Stripe Connect internals (say "payment processing")
• Any implementation detail a user would never see in the UI

REQUIRED:

• Write for property managers, not developers
• Step-by-step instructions with UI references ("Go to Settings → ...", "Click ...")
• What happens automatically (explain WHAT, never HOW technically)
• [Screenshot: description] placeholders where visuals would help
• Voice: "you" addressing the user. Warm, clear, confident.

Structure

1. What it does — 2-3 sentence overview
2. Getting started — step-by-step with UI references
3. How it works — what happens automatically, what the user sees
4. Key features — bullet list with brief explanations
5. Tips & best practices
6. Common questions — 2-3 FAQs

Instructions

Update the doc to reflect what changed. Preserve the existing structure — only ADD or MODIFY sections related to this PR. Don't remove existing content unless it's now incorrect.

Respond with JSON: { "title": "Superadmin Platform Access Dashboard", "body": "Full updated markdown body", "excerpt": "Updated one-line description" }