RealensAI MVP: Automated Market Analysis for Real Estate Agents
RealensAI represents a transformative approach to one of real estate's most time-intensive tasks: creating comprehensive market analyses for listing presentations. Rebar proposes building a lightweight web application that empowers agents to upload MLS CSV data and instantly receive polished, professional pricing strategies and market trend summaries that mirror the analysis of seasoned professionals.
This MVP's primary objective centers on proving that intelligent automation can standardize and accelerate listing preparation. By combining deterministic data processing with sophisticated AI-generated insights, Rebar will deliver fast, reliable, agent-quality reports that enable better decision-making and confident client communication. This proof-of-concept represents the foundation for a platform that will fundamentally change how agents approach market analysis.
Core Features and Requirements
Rebar proposes a strategic two-tier approach for the RealensAI MVP, prioritizing essential functionality for rapid launch while identifying high-value enhancements for subsequent phases. This structured methodology ensures we deliver maximum value within our aggressive timeline while maintaining flexibility for future expansion.
User Management
Secure authentication with Google social sign-in provides streamlined access while maintaining enterprise-grade security standards for protecting sensitive MLS data.
Data Ingestion
Sophisticated CSV parsing handles common MLS export formats, with intelligent field validation and data cleaning ensuring accurate downstream analysis.
AI Analysis Engine
Integration with leading LLM APIs combines probabilistic AI generation with deterministic calculation layers for precise, professional-grade insights.
Tier 1: Essential MVP Features
  • User Management: Secure login and basic account creation functionality with social sign in for Google.
  • Data Ingestion:
  • CSV upload capability (specifically designed for a single export file formats).
  • Data parsing and basic field validation to clean and structure the imported MLS data.
  • AI Analysis Engine:
  • Integration with a capable LLM API (e.g., OpenAI) for probabilistic analysis and narrative generation.
  • Deterministic software layer for precise data calculation prior to LLM input.
  • Core Analytics Processing: Calculation of key market metrics:
  • Days on Market (DOM).
  • Percentage of listings with price reductions.
  • Average price reduction amount.
  • Original list vs. final list vs. sold price ratios (LTS, STL, etc.).
  • Overall trend summary calculation.
  • Report Generation:
  • AI-generated narrative summary providing professional, agent-style insights based on the calculated data.
  • Basic report export functionality (PDF or easy-to-copy text format).
Tier 2: High-Value Enhancements
If project scoping reveals capacity within our target budget and timeline, Tier 2 features will significantly enhance the user experience:
  • Basic charting and data visualization (e.g., visual representation of price reduction percentages over time).
  • "Improve analysis" regeneration option, allowing the user to request a new narrative based on the same dataset.
  • Simple custom text fields for agents to add personal notes or context before report generation.
  • Fine-tuning the AI tone to match a specific, consistent "agent voice."
  • Direct export into common formats like email or Google Docs.
These enhancements transform the MVP from a functional tool into a comprehensive workflow solution.
Proposed User Journey
Agent User Journey in Production Application
Understanding how agents will interact with RealensAI in daily practice provides crucial context for development priorities and UX decisions. The following workflow represents the complete agent experience from initial login through final report export. The final user flow will be determined in scoping.
01
Secure Authentication
Agent accesses web application and authenticates (username or SSO), landing on the main Properties Page dashboard.
02
Data Upload Initiation
Agent clicks "Upload New" button and uploads raw MLS export CSV file. Parser performs validation and data cleaning, converting to structured JSON.
03
Automated Analysis Engine
Deterministic processing layer calculates precise market metrics (DOM, price reductions, ratios). Data and metrics are sent to LLM API via Vercel AI SDK.
04
AI Narrative Generation
AI agent generates professional, agent-voice narrative summary based on calculated metrics and contextual data from the upload.
05
Storage and Access
Original CSV saved to Supabase Storage. Metrics, AI report text, and file reference stored in Postgres database for future retrieval and analysis.
06
Report Review and Export
Agent views complete AI-generated report with supporting data visualization. Exports final report as PDF or copyable text format for client presentation.

Average Time Savings
Traditional manual market analysis: 2-4 hours
RealensAI automated analysis: 3-5 minutes
Efficiency gain: 95%+
This streamlined workflow transforms what traditionally requires hours of spreadsheet analysis, calculation verification, and narrative writing into a simple upload-and-export process. The time savings allow agents to focus on high-value client relationship activities rather than manual data processing, while still delivering professional-grade analysis that builds client confidence and trust.
Proposed Technology Stack
Rebar proposes a RealensAI architecture that leverages our deep expertise while maintaining flexibility for future evolution. Our technology selections prioritize rapid development velocity, scalability, and cost-effectiveness while ensuring the platform remains adaptable as requirements evolve and new AI capabilities emerge.
Frontend Architecture
Svelte 5: Desktop-optimized web application delivering exceptional performance and responsive user experience. Svelte's compile-time optimization ensures minimal bundle sizes and lightning-fast interactions.
Backend & Logic Layer
SvelteKit Serverless + Supabase Edge Functions: Distributed computing architecture provides secure, scalable request handling with minimal latency and optimal resource utilization.
Data Layer
Supabase (Postgres): Enterprise-grade relational database securely stores user accounts, historical analyses, and metadata. Supabase Storage handles CSV uploads and generated PDF reports with robust access controls.
AI Integration
Vercel AI SDK: Model-agnostic architecture enables seamless switching between OpenAI, Gemini, xAI, and Anthropic. This prevents vendor lock-in and allows leveraging unique strengths of each platform as the AI landscape evolves.
Architecture Philosophy
Our stack emphasizes composability and future-proofing. The serverless approach eliminates infrastructure management overhead while providing automatic scaling. The model-agnostic AI layer is particularly critical—as new models emerge with superior performance or specialized capabilities, the platform can adapt without requiring fundamental architectural changes.
This flexibility extends to cost optimization. By maintaining the ability to route different types of analysis to the most cost-effective or capable model, we ensure long-term operational efficiency and competitive advantage.

Key Benefit
The architecture is built for flexibility and evolution, not lock-in. Every component can be upgraded or replaced as technology advances without requiring a complete rebuild.
Project Timeline: Rapid 12-Week Deployment
Rebar proposes a rapid 12-week deployment timeline for RealensAI, designed to deliver a production-ready Version 1.0 from project kickoff. This aggressive but achievable strategy balances speed-to-market with thorough testing and validation, ensuring we launch with a stable, valuable product that real agents can rely on immediately.
1
Phase 1: Scoping & Development
Duration: 4-6 weeks
Comprehensive requirements gathering, technical architecture finalization, and initiation of core development. This phase establishes the foundation and begins building Tier 1 features.
2
Phase 2: Alpha Testing
Duration: 3-4 weeks
Deployment to trusted user group for initial validation. Critical feedback collection, bug identification, and UX refinement. All major features and design decisions finalized.
3
Phase 3: Beta Deployment
Duration: 3-4 weeks
Expanded user testing with larger beta cohort. Focus shifts to edge case discovery, performance optimization, and final stability improvements before production release.
4
Production v1.0
Post-Beta
Application finalized and ready for full deployment, either client-managed or through Rebar's deployment partner, Outfit.
Phased Approach Benefits
Risk Mitigation
Early user feedback in Alpha ensures we're building the right product. Beta testing catches edge cases before they impact production users.
Iterative Refinement
Each phase builds on learnings from the previous, allowing continuous improvement without delaying launch unnecessarily.
Quality Assurance
Multiple testing phases with expanding user bases ensure robust, production-ready software at launch.
The timeline structure allows for parallel workstreams during development, with backend data processing, AI integration, and frontend development progressing simultaneously after initial architecture decisions. This parallelization is key to meeting the aggressive 12-week target while maintaining code quality and system reliability. Each phase has clearly defined exit criteria and deliverables, ensuring accountability and measurable progress throughout the project lifecycle.
Investment and Pricing Structure
Rebar offers RealensAI two options for moving forward, providing flexibility to match your risk tolerance and budget constraints. We've structured two distinct engagement options: a comprehensive full-project commitment or a lower-risk scoping phase that provides detailed cost clarity before major investment decisions.
Option 1: Full MVP Investment
$30,000 - $35,000
Complete Phases 1-3 development including all Tier 1 features and Tier 2 enhancements, pending verification in scoping during phase 1.
Option 2: Scoping Project Only (Phase-by-phase)
$2,000
Dedicated 1-2 week scoping engagement delivering detailed requirements, architecture recommendations, and phased cost breakdown.
What's Included in Full MVP Investment
Development Deliverables
  • Complete Tier 1 feature implementation
  • Tier 2 enhancements based on capacity
  • Three full development and testing phases
  • Comprehensive technical documentation
  • Alpha and Beta user testing coordination
  • Production deployment preparation
Ongoing Support
  • Weekly progress check-ins during development
  • Bug fixes throughout testing phases
  • Performance optimization and refinement
  • User feedback integration and iteration
  • Launch readiness validation
  • Post-launch stabilization support
Scoping Development Project Deep Dive
For clients who prefer validation before full commitment, our Scoping Development Project provides comprehensive clarity on exactly what will be built and what it will cost. This $2,000 engagement delivers a detailed final report including recommended technology stack with architecture diagrams, complete requirements list refined through stakeholder interviews, phased development cost breakdown with optional tiers, risk assessment and mitigation strategies, and realistic timeline projections based on resource availability.
The scoping project is particularly valuable if you're uncertain about feature prioritization, want to validate technical feasibility before major investment, need internal budget approval with detailed cost justification, or prefer to see a concrete plan before committing to full development. The $2,000 investment is credited toward the full project cost if you proceed within 90 days of scoping completion.

Final Pricing Determination
All cost estimates will be definitively finalized during Phase 1 scoping based on clearly defined requirements. The ranges provided reflect typical project complexity and account for common feature variations within the specified tier structure.
Next Steps
To move forward with the RealensAI project, Rebar offers three clear pathways, each designed to accommodate different decision-making timelines and risk preferences. Whether you're ready for full commitment or prefer a phased validation approach, we've structured options that align with your needs while ensuring project momentum.
Submit Feedback
Provide questions or suggested modifications to this proposal for further refinement and clarification.
Option 1: Commit to Full MVP
Agree to $30K-$35K full project with Phase 1 kickoff scheduled for January.
Option 2: Begin Scoping Only
Engage $2K scoping project for detailed requirements and cost breakdown before full commitment.