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Buying a home is a highly personal journey, yet the tools available to buyers have changed little over the years. Recognizing an opportunity to modernize the experience, Charleston-based real estate entrepreneur Nora deLyra set out to create a smarter, more accessible way for people to navigate the home-buying process.
Her vision was Nestor AI — an intelligent assistant designed to help buyers discover properties, compare options, access relevant information, and move through the purchasing journey with confidence. Rather than relying on multiple tools and fragmented workflows, users would have a single platform to support them from property search to closing.
Master of Code Global partnered with Nora to transform this vision into reality by developing a Proof of Value that validated the concept, demonstrated core functionality, and established the foundation for a future production-ready solution.
Real-time MLS search with smart conversational guidance, instant property insights, neighborhood analytics, mortgage estimates, automated offer writing with Fair Housing guardrails, and direct scheduling with listing agents. No middleman, no pressure, no selling your information.
Purchasing a home is often a complex, time-consuming process that requires buyers to navigate multiple platforms, coordinate with various stakeholders, and manage extensive paperwork. Seller-paid buyer agent compensation is no longer guaranteed, leaving many buyers uncertain about who will pay for representation before they can focus on finding the right home.
Nora deLyra saw an opportunity to challenge this traditional model. The vision was to create an AI-powered assistant capable of guiding buyers through the early stages of the home-buying journey independently. The solution needed to help users find suitable properties, compare options, access relevant information, and schedule viewings through a single conversational interface.
At the same time, the platform had to simplify decision-making, centralize property-related information, and provide buyers with a clear path forward throughout the purchasing process. The ultimate goal was to deliver a more accessible, transparent, and cost-effective home-buying experience without sacrificing the guidance and confidence buyers need when making one of life’s biggest investments.
Master of Code Global developed a Proof of Value for Nestor AI, an intelligent home-buying assistant that helps buyers discover properties, compare options, and navigate the purchasing journey through a conversational experience.
To validate the client’s vision and assess market interest, our team designed and developed a Proof of Value that demonstrates the core capabilities of the future platform. Nestor AI combines Conversational AI, property search functionality, and workflow automation to help users find relevant homes while simplifying the early stages of the buying process.
The solution enables buyers to interact with an AI assistant in natural language, receive personalized property recommendations, explore available listings, and schedule viewings from a single interface. The PoV also established the foundation for future capabilities that will guide users through every stage of a real estate transaction.
Intelligent property discovery: Users can describe their ideal home in natural language or apply specific filters such as location, property type, and budget. Nestor AI analyzes these preferences and returns the most relevant listings.
AI-powered property recommendations: The assistant asks contextual questions to better understand buyer needs and continuously refines search results to deliver more personalized recommendations.
Property comparison and insights: Homebuyers can compare multiple properties, explore listing details, and ask follow-up questions to better evaluate their options before making a decision.
Conversational search experience: Instead of navigating multiple websites and filters, users interact with a single AI assistant that guides them through the property discovery process step by step.
Viewing scheduling: When users find a property they like, they can quickly schedule a viewing through an integrated calendar experience, reducing friction between discovery and action.
Foundation for an end-to-end home-buying journey: The solution was designed with future expansion in mind, including document management, offer submission workflows, transaction guidance, neighborhood information, buyer reminders, and collaboration features for family members involved in the purchasing decision.