Facilities AI Agent - Customer Service Platform - Sell Project
Project Overview
AI Customer Support & Scheduling Assistant for Facilities ManagementThis project is a fully working MVP of an AI-powered customer support agent built specifically for facilities management companies and service providers (plumbing, HVAC, electrical, property maintenance, etc.).It supports both voice and text interactions through a browser-based chat interface and integrates with Twilio to handle incoming customer calls. Customers can schedule maintenance or repair visits directly, with autom...
Detailed Description
Visual Content & Media
Project Screenshots & Interface
The following screenshots showcase the visual design and user interface of Facilities AI Agent - Customer Service Platform:
Screenshot 1: Main Dashboard & Primary Interface
This screenshot displays the main dashboard and primary user interface of the application, showing the overall layout, navigation elements, and core functionality. The interface demonstrates the modern design principles and user experience patterns implemented using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss.
Screenshot 2: Key Features & Functionality
This screenshot displays key features and functionality of the application, demonstrating specific capabilities and user interactions. The interface demonstrates the modern design principles and user experience patterns implemented using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss.
Screenshot 3: User Experience & Navigation
This screenshot displays user experience elements and navigation patterns, showing how users interact with the interface. The interface demonstrates the modern design principles and user experience patterns implemented using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss.
Screenshot 4: Advanced Features & Capabilities
This screenshot displays additional features and advanced capabilities, showcasing the full scope of the application. The interface demonstrates the modern design principles and user experience patterns implemented using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss.
Screenshot 5: Advanced Features & Capabilities
This screenshot displays additional features and advanced capabilities, showcasing the full scope of the application. The interface demonstrates the modern design principles and user experience patterns implemented using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss.
Screenshot 6: Advanced Features & Capabilities
This screenshot displays additional features and advanced capabilities, showcasing the full scope of the application. The interface demonstrates the modern design principles and user experience patterns implemented using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss.
Screenshot 7: Advanced Features & Capabilities
This screenshot displays additional features and advanced capabilities, showcasing the full scope of the application. The interface demonstrates the modern design principles and user experience patterns implemented using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss.
Screenshot 8: Advanced Features & Capabilities
This screenshot displays additional features and advanced capabilities, showcasing the full scope of the application. The interface demonstrates the modern design principles and user experience patterns implemented using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss.
Screenshot 9: Advanced Features & Capabilities
This screenshot displays additional features and advanced capabilities, showcasing the full scope of the application. The interface demonstrates the modern design principles and user experience patterns implemented using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss.
Screenshot 10: Advanced Features & Capabilities
This screenshot displays additional features and advanced capabilities, showcasing the full scope of the application. The interface demonstrates the modern design principles and user experience patterns implemented using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss.
Project Demonstration Videos
The following videos provide visual demonstrations of Facilities AI Agent - Customer Service Platform in action:
Demo Video 1: Main Functionality Walkthrough
This video demonstrates the main functionality and core features of the application, providing a comprehensive overview of how the system works. The video showcases the saas application's technical implementation using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss and user interface design, providing viewers with a clear understanding of the project's capabilities and value proposition.
Video URL: https://youtu.be/OfeMTttwlis
Demo Video 2: Feature Demonstration
This video demonstrates specific features and capabilities, showing detailed user interactions and system responses. The video showcases the saas application's technical implementation using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss and user interface design, providing viewers with a clear understanding of the project's capabilities and value proposition.
Video URL: https://youtu.be/bXnhAloXLq4
Demo Video 3: Advanced Workflows
This video demonstrates advanced workflows and complex use cases, demonstrating the full potential of the application. The video showcases the saas application's technical implementation using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss and user interface design, providing viewers with a clear understanding of the project's capabilities and value proposition.
Video URL: https://youtu.be/uZHxYwD-Fzw
Demo Video 4: Use Case Examples
This video demonstrates practical use cases and real-world scenarios, showing how the application solves specific problems. The video showcases the saas application's technical implementation using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss and user interface design, providing viewers with a clear understanding of the project's capabilities and value proposition.
Video URL: https://youtu.be/ne6EMMapMwo
Demo Video 5: Use Case Examples
This video demonstrates practical use cases and real-world scenarios, showing how the application solves specific problems. The video showcases the saas application's technical implementation using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss and user interface design, providing viewers with a clear understanding of the project's capabilities and value proposition.
Video URL: https://youtu.be/WCWOC8af9Gk
Live Demo & Interactive Experience
Live Demo URL: https://ai-customer-service.app
Experience Facilities AI Agent - Customer Service Platform firsthand through the live demo. This interactive demonstration allows you to explore the application's features, test its functionality, and understand its user experience. The live demo showcases the saas application's technical capabilities implemented with Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss and real-world performance, providing a comprehensive understanding of the project's value and potential.
Visual Content Summary
This project includes 10 screenshots and 5 demonstration videos plus a live demo, providing comprehensive visual documentation of the saas application. The media content demonstrates the project's technical implementation using Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss and user interface design, showcasing both the visual appeal and functional capabilities of the solution.
Technical Specifications & Architecture
Technology Stack & Implementation
Primary Technologies: Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss
Technology Count: 10 different technologies integrated
Implementation Complexity: High - Multi-technology stack requiring extensive integration expertise
Technology Analysis
Common Questions & Use Cases
Use Cases & Practical Applications
Target Audience & Use Cases
Business Use Cases: This project is ideal for businesses looking to implement a ready-made solution. Perfect for entrepreneurs, startups, or established companies seeking saas solutions.
Project Details
Project Type: Saas
Listing Type: Sell
Technology Stack: Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss
What's Included
Source code, All related data, All related design work
Sale includes full source code, documentation, and deployment assets. License is for perpetual internal use by a single organization. Resale, redistribution, or sub-licensing of the solution is not permitted. IP ownership remains with the creator. Exclusive license buyout can be negotiated separately if required. Options Service at additional price: Setup & branding such as logo, website integration, Twilio setup and phone number porting, agent's tone setting, greetings and specialized responses: $3,000 (one-time) Ongoing maintenance & feature enhancements e.g. advanced prompt customizations: $2000/month (20 hours/month) Custom integrations (e.g., CRM, workforce systems, calendars) ( priced separately)
Reason for Selling
We are a small AI engineering boutique firm that specializes in developing MVPs and proof-of-concepts for enterprise use cases. This project was built as part of our R&D portfolio and has reached a strong MVP stage with full documentation, demo assets, and deployment scripts. Since our team is currently focused on other AI agent projects, we are making this available for sale so that an entrepreneur or operator with domain focus can take it further into production and commercialization.
Technical Architecture
Technology Stack & Architecture
This saas project is built using a modern technology stack consisting of Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss.
Architecture Type: Saas - This indicates the project follows modern software architecture patterns.
Technical Complexity: Multi-technology stack requiring integration expertise
Business Context & Market Position
Development Context & Timeline
Project Development Timeline
This project was created on September 16, 2025 and last updated on September 10, 2026. The project has been in development for approximately 12.1 months, representing 362.24955052699 days of development time.
Technical Implementation Effort
Implementation Complexity: High - The project uses 10 different technologies (Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss), requiring extensive integration work and cross-technology expertise.
Next Development Phase: <p>The MVP is already feature-complete for core use cases (voice & chat support, scheduling, FAQs, notifications, workforce DB). A buyer can take it further by:</p><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Deploying it with <strong>real service companies</strong> (facilities, HVAC, property managers) to validate traction.</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Expanding into other verticals like <strong>vet clinics, dental practices, or salons</strong> with minor customizations.</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Adding <strong>multi-tenant SaaS features</strong> (Stripe billing, org accounts, branding) to launch it as a subscription product.</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Integrating with <strong>CRM/workforce platforms</strong> (e.g., HubSpot, ServiceTitan) for higher-value clients.</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Marketing it as a <strong>white-label customer service assistant</strong> for small service businesses that cannot afford enterprise tools.</li></ol><p>This way, the project can evolve from a working MVP into either a <strong>vertical SaaS product</strong> or a <strong>white-label solution</strong> that agencies can deploy for their clients.</p>
Competitive Analysis & Market Position
Market Differentiation
Technology Advantage: This project leverages Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss to create a unique solution in the saas space. The technology stack provides cutting-edge technical implementation that sets it apart from traditional solutions.
Competitive Advantages
- Modern Technology Stack: Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss provides scalability, maintainability, and future-proofing
Pricing Information
Offer Price: $6,000 USD
Project Metrics
Average Monthly Revenue: Undisclosed
About the Creator
Developer: User ID 192575
Project Links
Live Demo: https://ai-customer-service.app
Key Features
- Built with modern technologies: Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss
- Listed for sale
Frequently Asked Questions
What is this project about?
Facilities AI Agent - Customer Service Platform is a saas project that AI Customer Support & Scheduling Assistant for Facilities ManagementThis project is a fully working MVP of an AI-powered customer support agent built specifically for facilities management compani....
How much does this project cost?
This project is listed for sale at $negotiable USD. There's also an offer price of $6,000 USD.
What's included when I buy this project?
Source code, All related data, All related design work.
Why is the owner selling this project?
We are a small AI engineering boutique firm that specializes in developing MVPs and proof-of-concepts for enterprise use cases. This project was built as part of our R&D portfolio and has reached a strong MVP stage with full documentation, demo assets, and deployment scripts. Since our team is currently focused on other AI agent projects, we are making this available for sale so that an entrepreneur or operator with domain focus can take it further into production and commercialization.
What technologies does this project use?
This project is built with Google Cloud Platform,Python,FastAPI,Google Agent Development Kit,Google Gemini,HTMX,Twilio,Websockets,Google Calendar API,faiss. These technologies were chosen for their suitability to the project's requirements and the developer's expertise.
What are the project's current metrics?
Monthly revenue: Undisclosed.
Can I see a live demo of this project?
Yes! You can view the live demo at https://ai-customer-service.app. This will give you a better understanding of the project's functionality and user experience.
How do I contact the project owner?
You can contact the project owner through SideProjectors' messaging system. Click the "Contact" button on the project page to start a conversation about this project.
Is this project still actively maintained?
Since this project is for sale, the current owner may be looking to transfer maintenance responsibilities to the buyer.