NuvAI — AI Lead Assistant for Real Estate
Josue Perez
Status: in-progress product definition and prototype. NuvAI is the product. The implementation stack and production scope are not yet finalized.
The Opportunity
Real-estate professionals often manage lead capture, qualification, property questions, follow-up, and handoff across disconnected tools. NuvAI explores how an AI-assisted layer might reduce administrative friction while keeping human agents in control of client relationships.
The current work is a product hypothesis under validation—not a production deployment or a completed end-to-end platform.
Product Direction
The experience is organized around four principles:
Disclose the AI clearly before requesting information.
Let the prospect control the pace and order of the conversation.
Preserve context at human handoff so nobody must repeat the story.
Support the professional with useful market and pipeline visibility rather than replacing them.
Selected Product Work
Agent dashboard concept
NuvAI dashboard concept
Conversational interface
NuvAI conversational lead-assistant interface
Voice and handoff exploration
NuvAI voice-agent flow exploration
Core Experience
The prototype explores a prospect moving from initial contact through questions, qualification, property discovery, and a context-preserving handoff to a human real-estate professional.
The exact model, orchestration, messaging, CRM, and voice technologies remain implementation decisions. Claude Code is being evaluated as a design-to-build workflow; this does not mean it has been selected as the production platform or that production engineering is included in the current engagement.
What I Contributed
Product and interaction framing
Conversation and qualification flow
AI disclosure, pacing, recovery, and handoff patterns
Dashboard and market-intelligence concepts
Service blueprint across prospect, AI layer, workflow, CRM, and human agent
Interactive prototype and validation direction
Validation Boundary
The central hypothesis still requires testing with working real-estate professionals and representative prospects. Success should be evaluated through comprehension, completion, quality of captured context, handoff readiness, and qualitative trust—not through assumed automation value.
Outcome
A clearer product foundation, interaction model, and testable prototype direction. Any broader product design, design system, or build phase requires separate written scope and commercial agreement.
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Posted Jul 14, 2026
In-progress AI lead-assistant product definition for real-estate teams, focused on disclosure, qualification, property discovery, and context-preserving human handoff.
