DemoAgent: Showcasing Platform With Realistic Data

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DemoAgent: Showcasing Platform with Realistic Data

Hey guys! Today, we're diving deep into the DemoAgent, a fantastic tool designed to showcase platform capabilities using realistic demo data. This agent is perfect for giving users a taste of what the platform can do without needing to wade through complex configurations or real-world data integration. Let's explore how this admin-only agent works and what features it brings to the table. This comprehensive overview ensures you're up to speed with every detail, from initial setup to future enhancements.

Overview

The DemoAgent is implemented to showcase the platform's capabilities using realistic demo data. This agent is exclusively for admin use, providing pre-configured demo responses for specific commands. Think of it as a sneak peek into the potential of the platform, tailored for demonstration purposes. It's all about making a great first impression and illustrating the practical applications of our system.

Features Implemented

1. DemoAgent Configuration âś…

Let's talk configuration. The DemoAgent is designed to be accessible only to admins and owners, ensuring that the demo environment remains controlled and consistent. Here’s a quick rundown:

  • Agent Type: Admin-only (accessible to admin and owner roles)
  • Location: src/agents/demoAgent.ts
  • Integration: Added to Mastra agent configuration and AgentHub
  • Access Control: RBAC (Role-Based Access Control) enforced in both frontend and backend

This setup guarantees that only authorized personnel can interact with the DemoAgent, maintaining data integrity and security. The agent's location within the codebase, src/agents/demoAgent.ts, makes it easy to find and manage. Its integration into the Mastra agent configuration and AgentHub ensures it seamlessly fits into the existing platform infrastructure. Access Control is a crucial aspect, and implementing RBAC both in the frontend and backend adds an extra layer of security, limiting access based on user roles.

2. Demo Data Sets âś…

Data is the heart of any demo, and we've put together some seriously cool datasets to showcase different aspects of the platform. These datasets are designed to be realistic, relevant, and engaging, providing a tangible sense of the platform's capabilities. Each dataset is tailored to respond to specific commands, making the demo experience interactive and informative.

2.1 Cement-Based Tiles (Grey)

Imagine you're looking for stylish, modern tiles. This dataset has you covered! With five realistic cement tile products, this demo set is perfect for illustrating how the platform can handle product searches and display detailed information. The command to trigger this demo is: "Return for me Cement Based tiles color grey".

  • File: src/data/demo/cement-tiles.json
  • Products: 5 realistic cement tile products
  • Data Includes:
    • Product images (sourced from Unsplash)
    • SKU, name, and description
    • Metadata (color, material type, finish, thickness, size, slip resistance, fire rating)
    • Pricing (retail/wholesale in EUR)
    • Stock status (High/Medium/Low)
    • Tags and variants
    • Factory and origin information

The inclusion of high-quality product images from Unsplash ensures a professional and visually appealing presentation. The detailed metadata, covering everything from color to fire rating, demonstrates the platform's ability to manage comprehensive product information. Pricing in EUR aligns with the European market, enhancing the demo's relevance for users in that region. Stock status indicators add a real-world element, showcasing how the platform can handle inventory management. Finally, including tags, variants, and factory information highlights the platform's versatility in handling diverse product attributes and origins.

2.2 Green Egger Wood Materials

Wood you believe how detailed this dataset is? For those interested in sustainable and stylish wood materials, this demo set focuses on green Egger wood products. The command to access this dataset is: "I want Green Egger".

  • File: src/data/demo/green-wood.json
  • Products: 5 Egger wood materials in green
  • Types: Veneer, Laminate, Solid Wood, Plywood, MDF
  • Data Includes:
    • Wood species (Oak, Pine, Ash, Birch)
    • Certifications (FSC, PEFC, CARB P2)
    • Sustainability ratings
    • All standard product metadata

This dataset covers a variety of wood types, from veneer to solid wood, providing a comprehensive overview of material options. Specifying wood species like Oak, Pine, Ash, and Birch allows for detailed filtering and comparison within the platform. Including certifications like FSC, PEFC, and CARB P2 emphasizes the platform's capability to handle eco-friendly product attributes. Sustainability ratings provide an additional layer of information, catering to environmentally conscious users. The incorporation of all standard product metadata ensures that users get a complete picture of each material's properties and applications.

2.3 Heat Pumps Table

Feeling the heat? Or maybe the cold? Either way, this demo showcases a comparison table format for heat pumps. This is perfect for illustrating how the platform can present complex data in an easy-to-digest format. To see this demo in action, use the command: "I want heatpumps".

  • Display: Comparison table format
  • Models: 4 EcoHeat models (8kW, 12kW, 16kW, 20kW)
  • Data Includes:
    • Heating/cooling capacity
    • Energy efficiency ratings (A++, A+++)
    • Noise levels
    • Retail/wholesale pricing
    • Stock quantities
    • Common specifications (refrigerant, power supply, warranty, certifications)

The comparison table format is ideal for presenting technical specifications in a clear and organized manner. Covering a range of EcoHeat models, from 8kW to 20kW, demonstrates the platform's ability to handle various product options. Including heating and cooling capacities is essential for showcasing the performance capabilities of the heat pumps. Energy efficiency ratings like A++ and A+++ highlight the platform's focus on sustainable products. Noise levels are a crucial consideration for consumers, and their inclusion ensures a comprehensive product overview. Stock quantities provide real-time inventory information, and common specifications like refrigerant type, power supply, warranty, and certifications round out the detailed product data.

2.4 3D Interior Design

Ready for a virtual makeover? This demo provides a complete 3D design with materials, showcasing the platform's capability to visualize and present design concepts. It's a fantastic way to illustrate how users can explore and select materials within a design context. Use the command: "Design the interior of a home" to trigger this demo.

  • File: src/data/demo/3d-design.json
  • Output: Complete 3D design with materials
  • Includes:
    • Design image (Modern Living Room)
    • Style and room type metadata
    • 6 materials used in design:
      1. Natural Oak Flooring
      2. Minimalist Grey Wall Tile
      3. EcoHeat Pro Heat Pump
      4. Luxury Wool Carpet
      5. Linen Curtains
      6. Walnut Wood Paneling
    • Each material shows location in image and coverage area

The inclusion of a design image, specifically a modern living room, provides a visual context for the materials. Style and room type metadata help categorize and filter designs effectively. Showcasing six different materials used in the design—Natural Oak Flooring, Minimalist Grey Wall Tile, EcoHeat Pro Heat Pump, Luxury Wool Carpet, Linen Curtains, and Walnut Wood Paneling—demonstrates the platform's ability to integrate diverse product categories. Indicating the location of each material in the image and its coverage area offers a practical understanding of material usage within the design. This demo is particularly powerful for illustrating the platform's potential in interior design and material selection.

3. UI Components âś…

User interface (UI) components are essential for presenting data in a user-friendly manner. We’ve implemented several key components to enhance the DemoAgent's presentation capabilities. These components ensure that demo data is displayed clearly, interactively, and in line with design standards.

3.1 DemoProductCard Component

The DemoProductCard component is designed to display product information in a compact and visually appealing format. This component is crucial for presenting product lists in a grid layout. It's all about making a great first impression with clean design and essential details. The file location is src/components/AI/DemoProductCard.tsx

  • Matches reference design from screenshot
  • Displays:
    • Product image
    • SKU and product name
    • Status badge
    • Category tags with color coding
    • Retail/wholesale pricing
    • Stock status with color indicators (green=high, yellow=medium, red=low)
    • Variants information
    • "View Details" button

Matching the reference design ensures consistency and professionalism in the user interface. Displaying the product image prominently helps users quickly identify products. Including the SKU and product name provides essential product identification information. The status badge adds an immediate visual cue about the product's availability or condition. Category tags with color coding facilitate quick categorization and filtering. Retail and wholesale pricing options cater to different user needs. Color-coded stock status indicators (green for high, yellow for medium, red for low) offer an at-a-glance view of inventory levels. Variants information allows users to explore different options within a product line. Finally, the "View Details" button encourages users to delve deeper into specific product information, enhancing engagement and exploration.

3.2 DemoProductDetailModal Component

When you want to dive deeper, the DemoProductDetailModal component provides a comprehensive view of a product. This modal component is designed to display detailed product information in an organized and interactive manner. It’s the go-to place for users who want to know everything about a product. The file location is src/components/AI/DemoProductDetailModal.tsx

  • Image Slider:
    • Navigation arrows (prev/next)
    • Thumbnail strip
    • Image counter
  • Product Information:
    • Full description
    • Pricing & availability
    • Categories & tags
    • Complete metadata/specifications grid
    • Variants display
  • Actions:
    • "Add to Quote" button (styled with category color)
    • Close modal

The image slider, complete with navigation arrows, a thumbnail strip, and an image counter, provides an immersive visual experience. A full product description gives users detailed information about the product's features and benefits. Pricing and availability details help users make informed purchasing decisions. Categories and tags facilitate product discovery and organization. A complete metadata/specifications grid offers a comprehensive overview of product attributes. Displaying variants allows users to explore different options and configurations. The "Add to Quote" button, styled with the category color, adds a call-to-action that aligns with the product's category. Lastly, the close modal button provides a straightforward way to exit the detailed view, ensuring a smooth and intuitive user experience.

3.3 DemoAgentResults Component

The DemoAgentResults component ties everything together. It handles the presentation of different result types, ensuring that the DemoAgent's responses are displayed in the most effective way. This component is versatile, capable of rendering product lists, 3D designs, and comparison tables seamlessly. This adaptability is key to showcasing the platform's diverse capabilities. The file location is src/components/AI/DemoAgentResults.tsx

  • Handles 3 result types:
    1. Product List: Grid of product cards
    2. 3D Design: Design image + materials grid
    3. Heat Pump Table: Comparison table with specifications
  • Integrates with product detail modal
  • Responsive grid layouts

By handling three different result types, the DemoAgentResults component demonstrates its flexibility and robustness. Displaying product lists as a grid of product cards leverages the DemoProductCard component to present product information in a visually appealing manner. Presenting 3D designs with a design image and materials grid allows users to explore design concepts and associated materials effectively. Rendering heat pump data as a comparison table with specifications enables users to compare product features and specifications easily. Integration with the product detail modal ensures a seamless transition from summary views to detailed product information. The use of responsive grid layouts ensures that the component adapts to different screen sizes, providing an optimal viewing experience across devices. This component truly brings the DemoAgent’s responses to life.

4. Category Color Management 🔄

Color management is a subtle yet significant aspect of user experience. Consistent color coding can enhance visual organization and make it easier for users to quickly identify categories. Let's explore the current implementation and future enhancements for category color management within the DemoAgent.

Current Implementation

Currently, default colors are defined directly in the DemoAgentResults.tsx component. This provides a basic level of color coding, but it's not as flexible or scalable as a more robust system. The current color scheme includes:

  • Tile: Blue (#3b82f6)
  • Wood: Green (#16a34a)
  • HVAC: Red (#dc2626)
  • Carpet: Purple (#9333ea)
  • Textile: Orange (#ea580c)
  • Cement Tile: Indigo (#6366f1)

While this setup provides a starting point, it lacks the dynamic capabilities needed for a comprehensive solution. The colors are hardcoded, making it difficult to change or customize them without directly modifying the component's code.

Future Enhancement (Separate Feature Request)

To enhance color management, a separate feature request outlines several improvements. These enhancements aim to provide a more flexible, scalable, and user-friendly system for managing category colors.

  • Backend API to manage category colors
  • Color picker in admin panel
  • Random default color assignment
  • Store in database with category metadata
  • Recommendation: Implement as part of dynamic category management system

Implementing a backend API would allow for dynamic management of category colors, decoupling the color scheme from the frontend code. A color picker in the admin panel would provide an intuitive interface for administrators to customize category colors. Random default color assignment would ensure that new categories automatically receive a color, maintaining visual consistency. Storing color information in the database with category metadata would centralize color management and allow for easy retrieval and modification. The recommendation to implement this as part of a dynamic category management system underscores the importance of a holistic approach, ensuring that color management is integrated into the broader category management strategy.

5. Quote Functionality 🔄

Quotes are a crucial part of the sales process, and integrating quote functionality into the platform can significantly enhance user experience. Let's examine the current implementation and future enhancements planned for the quote system.

Current Implementation

Currently, the "Add to Quote" button is visible in the product detail modal. This provides a visual cue that the functionality exists, but it's important to note that, as requested, no actual functionality is implemented at this stage. The button is styled with the category color, maintaining visual consistency across the interface.

  • "Add to Quote" button visible in product detail modal
  • Button styled with category color
  • No functionality implemented (as requested)

This setup lays the groundwork for future quote system implementation, ensuring that the UI elements are in place and ready to be connected to the backend functionality.

Future Enhancement (Separate Feature Request)

Future enhancements will focus on building a comprehensive quote system that allows users to create, manage, and export quotes. This will involve several key features, including a global quote/cart system, a quote management interface, and export capabilities.

  • Global quote/cart system
  • Quote management interface
  • Export quotes to PDF
  • Email quotes to customers

Implementing a global quote/cart system will enable users to add products to a quote from anywhere within the platform and manage their selections in a centralized location. A quote management interface will provide tools for creating, editing, and reviewing quotes, streamlining the quote generation process. The ability to export quotes to PDF will allow users to easily share quotes with clients or internal teams. Additionally, the option to email quotes directly to customers will enhance communication and facilitate the sales process. These enhancements will transform the "Add to Quote" button from a placeholder into a fully functional tool, adding significant value to the platform.

Technical Implementation

Under the hood, the DemoAgent relies on specific tools and integration points to function effectively. These components ensure that the agent can respond to commands accurately and present data in a structured manner. Let's explore the technical aspects of the DemoAgent's implementation.

Agent Tools

The DemoAgent utilizes three primary tools to handle different types of requests. These tools are designed to retrieve and format demo data, ensuring that the agent's responses are both informative and visually appealing.

  1. demoProductSearch: Returns product lists based on query
  2. demo3DDesign: Returns 3D design with materials
  3. demoHeatPump: Returns heat pump comparison table

The demoProductSearch tool is used to retrieve product lists based on user queries. This tool is essential for handling commands that involve product searches, such as "Return for me Cement Based tiles color grey". The demo3DDesign tool is responsible for returning 3D design data, including images and material information. This tool is triggered by commands like "Design the interior of a home". The demoHeatPump tool generates a comparison table for heat pump models, providing a structured overview of product specifications and features. This tool is activated by commands such as "I want heatpumps". Together, these tools enable the DemoAgent to handle a variety of requests and present diverse data types effectively.

Integration Points

The DemoAgent is integrated into several key areas of the platform, ensuring seamless interaction with the existing infrastructure. These integration points cover both the frontend and backend, as well as configuration settings, providing a comprehensive integration strategy.

  • Frontend: src/components/AI/AgentHub.tsx
    • Added DemoAgent to agent list
    • Integrated DemoAgentResults component
    • Parse structured demo data from responses
  • Backend: supabase/functions/agent-chat/index.ts
    • Added demo agent permissions (admin level)
    • Updated routing rules
  • Configuration: src/agents/config.ts
    • Registered DemoAgent in Mastra
    • Added to agent access control

On the frontend, the DemoAgent is added to the agent list in AgentHub.tsx, making it accessible to users. The integration of the DemoAgentResults component ensures that the agent's responses are displayed correctly. The frontend also parses the structured demo data from the agent's responses, preparing it for rendering. On the backend, demo agent permissions are added at the admin level in supabase/functions/agent-chat/index.ts, restricting access to authorized users. Routing rules are updated to ensure that commands are correctly routed to the DemoAgent. In the configuration settings (src/agents/config.ts), the DemoAgent is registered in Mastra, and agent access control settings are updated to reflect the new agent. These integration points collectively ensure that the DemoAgent functions smoothly within the platform ecosystem.

Data Flow

Understanding the data flow is crucial for troubleshooting and optimizing the DemoAgent's performance. The data flow outlines the steps involved in processing a user command and presenting the results.

  1. User sends command to DemoAgent
  2. Agent detects command pattern
  3. Returns structured JSON response
  4. Frontend parses response and extracts demo data
  5. DemoAgentResults component renders appropriate view
  6. User can click products to view details in modal

The process begins when a user sends a command to the DemoAgent. The agent then detects the pattern in the command and selects the appropriate tool to handle the request. The agent returns a structured JSON response containing the requested data. The frontend parses this response and extracts the relevant demo data. The DemoAgentResults component then renders the appropriate view based on the data type, whether it's a product list, a 3D design, or a comparison table. Finally, users can click on products to view detailed information in the modal, providing an interactive exploration experience. This data flow ensures a seamless and efficient interaction between the user and the DemoAgent.

Testing Commands

To ensure that the DemoAgent is functioning correctly, it’s essential to test it with a variety of commands. These testing commands cover the different capabilities of the agent and help verify that the responses are accurate and appropriate. Here are some key commands to try out:

1. "Return for me Cement Based tiles color grey"
   → Shows 5 cement tiles in grid

2. "I want Green Egger"
   → Shows 5 Egger wood materials

3. "I want heatpumps"
   → Shows comparison table with 4 models

4. "Design the interior of a home"
   → Shows 3D design with 6 materials

Each command is designed to trigger a specific response from the DemoAgent, allowing you to verify different functionalities. The first command, "Return for me Cement Based tiles color grey", should display a grid of 5 cement tiles, demonstrating the agent's ability to handle product searches. The second command, "I want Green Egger", should return 5 Egger wood materials, showcasing the agent's handling of specific product requests. The third command, "I want heatpumps", should generate a comparison table with 4 models, testing the agent's ability to present structured data. The final command, "Design the interior of a home", should display a 3D design with 6 materials, verifying the agent's capability to handle design-related requests. By testing these commands, you can ensure that the DemoAgent is working as expected and providing valuable demo data.

Future Enhancements

The DemoAgent is a powerful tool, but there’s always room for improvement. Future enhancements will focus on expanding its capabilities, improving user experience, and adding new features. These enhancements are categorized by priority, ensuring that the most impactful changes are addressed first. Let's explore the planned future enhancements for the DemoAgent.

High Priority

High-priority enhancements are those that will significantly improve the functionality and usability of the DemoAgent. These enhancements are crucial for enhancing user experience and adding key features.

  1. Category Color Management
    • Admin panel for color assignment
    • Color picker UI
    • Database storage
    • Random default colors
  2. Quote System
    • Global quote state management
    • Quote builder interface
    • Export/email functionality

Improving category color management is a high priority. This involves creating an admin panel for color assignment, providing an intuitive color picker UI, storing color information in a database, and implementing random default colors for new categories. These changes will make it easier to manage and customize category colors, enhancing visual organization. The quote system is another high-priority enhancement. This includes implementing global quote state management, creating a quote builder interface, and adding export/email functionality. These features will enable users to create, manage, and share quotes efficiently, adding significant value to the platform.

Medium Priority

Medium-priority enhancements are important for expanding the DemoAgent’s capabilities and adding new scenarios. These enhancements will add depth to the demo experience and provide users with a broader range of examples.

  1. Additional Demo Scenarios
    • More product categories
    • Different room designs
    • Commercial projects
  2. Enhanced Product Details
    • 360° product views
    • Video demonstrations
    • Installation guides

Adding additional demo scenarios is a medium priority. This involves incorporating more product categories, showcasing different room designs, and including examples of commercial projects. These additions will broaden the scope of the demo and provide users with a more comprehensive understanding of the platform's capabilities. Enhancing product details is another medium-priority enhancement. This includes adding 360° product views, incorporating video demonstrations, and providing installation guides. These features will enrich the product information available to users, making the demo more engaging and informative.

Low Priority

Low-priority enhancements are those that will add value but are not essential for the core functionality of the DemoAgent. These enhancements focus on refining the demo experience and adding administrative capabilities.

  1. Demo Data Management
    • Admin interface to edit demo data
    • Upload custom demo images
    • Create custom demo scenarios

Implementing demo data management features is a low priority. This involves creating an admin interface to edit demo data, allowing users to upload custom demo images, and providing the ability to create custom demo scenarios. These enhancements will provide greater control over the demo data, but are not critical for the agent's primary function. By categorizing enhancements by priority, the development team can focus on the most impactful changes first, ensuring continuous improvement of the DemoAgent.

Files Changed

To implement the DemoAgent, several new files were created and existing files were modified. Understanding these changes provides insight into the scope of the implementation and the areas of the codebase that were affected. Let’s take a look at the files that were changed during this process.

New Files

  • src/agents/demoAgent.ts
  • src/data/demo/cement-tiles.json
  • src/data/demo/green-wood.json
  • src/data/demo/3d-design.json
  • src/components/AI/DemoProductCard.tsx
  • src/components/AI/DemoProductDetailModal.tsx
  • src/components/AI/DemoAgentResults.tsx

The creation of src/agents/demoAgent.ts introduced the main logic for the DemoAgent, defining its behavior and responses. The files in src/data/demo/ (cement-tiles.json, green-wood.json, and 3d-design.json) provide the demo data for different scenarios, ensuring realistic product information and design examples. The new components in src/components/AI/ (DemoProductCard.tsx, DemoProductDetailModal.tsx, and DemoAgentResults.tsx) handle the presentation of demo data, ensuring a user-friendly and visually appealing experience.

Modified Files

  • src/agents/config.ts
  • src/components/AI/AgentHub.tsx
  • supabase/functions/agent-chat/index.ts

The modification of src/agents/config.ts involved registering the DemoAgent in Mastra and adding it to agent access control, ensuring that the agent is properly configured and secured. The changes in src/components/AI/AgentHub.tsx added the DemoAgent to the agent list and integrated the DemoAgentResults component, making the agent accessible and ensuring its responses are displayed correctly. The modifications in supabase/functions/agent-chat/index.ts included adding demo agent permissions at the admin level and updating routing rules, securing access to the agent and ensuring commands are correctly routed. These file changes collectively demonstrate the integration of the DemoAgent into the platform, covering agent logic, data presentation, access control, and routing.

Notes

Several key considerations were taken into account during the implementation of the DemoAgent. These notes provide additional context and highlight the rationale behind specific design choices and data handling practices. Let's dive into some important details about the DemoAgent.

  • All demo data uses realistic product information
  • Images sourced from Unsplash for professional appearance
  • Pricing in EUR to match European market
  • Stock levels vary to demonstrate different states
  • Metadata follows actual product specification standards
  • No database integration - all data is static JSON for demo purposes

Using realistic product information ensures that the demo data is relevant and engaging, providing users with a tangible sense of the platform's capabilities. Sourcing images from Unsplash contributes to a professional and visually appealing presentation, enhancing the overall user experience. Setting pricing in EUR aligns with the European market, making the demo more relevant for users in that region. Varying stock levels demonstrate how the platform can handle different inventory states, adding a real-world element to the demo. Ensuring that metadata follows actual product specification standards provides accurate and comprehensive product information. Finally, the decision to use static JSON data without database integration simplifies the demo setup and avoids the need for complex database configurations. These notes highlight the key considerations that guided the implementation of the DemoAgent, ensuring a realistic, engaging, and user-friendly demo experience.

Screenshots

Visual aids can be incredibly helpful in understanding the user interface and design elements of the DemoAgent. Screenshots provide a quick and easy way to see the layout and presentation of demo data. Let’s discuss the reference design and how it’s implemented.

Reference design provided shows product card layout with:

  • Product image
  • SKU and status
  • Tags
  • Pricing (retail/wholesale)
  • Stock indicator
  • Action buttons

Implementation matches this design pattern.

The reference design emphasizes a clean and organized product card layout, which is crucial for presenting product information effectively. The product image is prominently displayed, allowing users to quickly identify products. Including the SKU and status provides essential product identification and availability information. Tags help categorize and filter products, enhancing discoverability. Pricing information, including both retail and wholesale options, caters to different user needs. Stock indicators offer an at-a-glance view of inventory levels, and action buttons provide clear calls to action, such as viewing details or adding to a quote. The implementation closely matches this design pattern, ensuring a consistent and user-friendly interface. By adhering to the reference design, the DemoAgent provides a visually appealing and intuitive demo experience.