Product Requirements Document (PRD)
Real Estate Web App Prototype
Version: 1.0
Date: July 28, 2025
Project Type: MVP/Prototype
Target Timeline: 4-6 weeks
1. Project Overview
1.1 Vision Statement
- Create an AI-powered real estate valuation platform that provides instant property analysis
- Generate intelligent property reports using machine learning and data science
- Offer cash-back incentives for sellers who list with partner brokers
- Provide seamless user experience from property search to detailed reporting
1.2 Core Value Proposition
- Instant property valuation using state-of-the-art AI/ML algorithms
- Comprehensive market analysis including subdivision and city statistics
- Guaranteed minimum $10,000 cash back for qualified sellers
- Professional PDF reports delivered via email
- Anonymous browsing with optional contact information for full reports
2. Technical Architecture
2.1 Frontend Stack
- Laravel 12 framework with PHP 8.2
- Livewire Flux 2.1.1 for reactive components
- Livewire Volt 1.7.0 for single-file components
- TailwindCSS 4.0.7 for styling
- Vite 7.0.4 for asset compilation
- Axios for HTTP requests
2.2 Backend Services
- Python 3.13 FastAPI service for ML/AI processing
- PostgreSQL database for property records and analytics
- Google reCAPTCHA v2/v3 for security
- PDF generation service for reports
- Email service for report delivery
- Web scraping services for real-time data
2.3 Data Science Components
- Machine learning models for property valuation
- Market analysis algorithms
- Comparable sales analysis
- Price prediction models
- Cash-back calculation engine
3. User Journey & Flow
3.1 Step 1: Initial Landing & Security
- User visits
https://app-url/
- Google reCAPTCHA v2/v3 challenge presented
- CAPTCHA validation required before proceeding
- Error handling for failed CAPTCHA attempts
- Rate limiting to prevent abuse
3.2 Step 2: Anonymous Authentication
- Automatic anonymous user session creation
- Session token generation and management
- Temporary user ID assignment
- Session timeout configuration (30 minutes default)
- Privacy-compliant session handling
3.3 Step 3: Property Address Input
- Clean, intuitive address input form
- Address autocomplete functionality
- Validation for complete address format
- Support for various address formats
- Real-time address suggestions
- Error handling for invalid addresses
3.4 Step 4: Property Confirmation
- Display found property details
- Show property images if available
- Property details: address, square footage, bedrooms, bathrooms
- Confirmation buttons: "Yes, this is my home" / "No, find another"
- Option to edit address if incorrect
- Back button to return to address input
3.5 Step 5: AI/ML Property Analysis
- FastAPI service integration
- Real-time data processing and analysis
- ML model execution for property valuation
- Market analysis calculations
- Comparable sales analysis
- Cash-back calculation (minimum $10k guarantee)
- Loading indicators during processing
- Error handling for analysis failures
3.6 Step 6: Basic Report Display
- Property valuation estimate display
- Subdivision market statistics
- City/town market overview
- Estimated sale price range
- Cash-back amount calculation
- Call-to-action for full report
- Professional, clean report layout
- Mobile-responsive design
3.7 Step 7: Contact Information Collection
- Optional contact form for full report
- Required fields: name, phone number, email
- Email validation and verification
- Phone number format validation
- Privacy policy acknowledgment
- GDPR/CCPA compliance considerations
- Data encryption for stored information
3.8 Step 8: PDF Report Generation & Delivery
- Comprehensive PDF report generation
- Professional template design
- Detailed market analysis
- Property-specific recommendations
- Broker contact information
- Email delivery system
- PDF optimization for various devices
- Delivery confirmation tracking
4. Development Implementation Steps
4.1 Laravel Application Setup
- Initialize fresh Laravel 12 project
- Configure environment variables and database connections
- Install and configure Livewire Flux and Volt
- Setup TailwindCSS 4.0 with Vite configuration
- Configure Laravel Sail for development environment
- Setup testing framework with PHPUnit
- Configure Laravel Pint for code formatting
4.2 Authentication & Security Implementation
- Integrate Google reCAPTCHA v2/v3 service
- Create anonymous user authentication system
- Implement session management
- Setup CSRF protection
- Configure rate limiting middleware
- Implement input validation and sanitization
4.3 Database Design & Migration
- Design PostgreSQL database schema
- Create property records table structure
- Setup user sessions and anonymous user tracking
- Create market data tables
- Implement data seeding for testing
- Setup database indexing for performance
- Create backup and recovery procedures
4.4 Frontend Development
- Create responsive landing page with CAPTCHA
- Build address input component with autocomplete
- Develop property confirmation interface
- Design basic report display layout
- Create contact information collection form
- Implement loading states and error handling
- Ensure mobile responsiveness across all components
4.5 FastAPI Service Development
- Setup Python 3.13 FastAPI project structure
- Implement property data processing endpoints
- Develop ML/AI property valuation models
- Create market analysis algorithms
- Build cash-back calculation engine
- Implement web scraping services
- Setup API documentation with Swagger
- Configure error handling and logging
4.6 Integration & Communication
- Establish Laravel to FastAPI communication
- Implement API authentication between services
- Setup asynchronous job processing
- Configure data synchronization
- Implement error handling across services
- Setup monitoring and logging
4.7 PDF Generation & Email System
- Design professional PDF report templates
- Implement PDF generation service
- Setup email delivery system
- Configure email templates
- Implement delivery tracking
- Setup email queue management
5. Testing Requirements
5.1 Unit Testing
- Laravel component testing with PHPUnit
- FastAPI endpoint testing
- Database model testing
- Validation logic testing
- ML model accuracy testing
5.2 Integration Testing
- End-to-end user flow testing
- API communication testing
- Database integration testing
- Email delivery testing
- PDF generation testing
5.3 Performance Testing
- Load testing for concurrent users
- Database query optimization
- API response time testing
- ML model performance benchmarking
- Frontend performance optimization
6. Deployment Requirements
6.1 Infrastructure Setup
- Production server configuration
- PostgreSQL database setup
- Redis for caching and sessions
- Nginx web server configuration
- SSL certificate installation
- CDN setup for static assets
6.2 DevOps & Monitoring
- CI/CD pipeline configuration
- Automated deployment scripts
- Application monitoring setup
- Error tracking implementation
- Performance monitoring tools
- Backup and disaster recovery procedures
7. Success Metrics & KPIs
- User Engagement: Completion rate through full user flow
- Technical Performance: Page load times under 3 seconds
- Accuracy: Property valuation accuracy within 5% of market value
- Conversion: Anonymous to contact information conversion rate
- System Reliability: 99.9% uptime target
8. Risk Factors & Mitigation
- Data Quality: Implement data validation and cleaning processes
- ML Model Accuracy: Continuous model training and validation
- API Dependencies: Implement fallback systems and caching
- Scalability: Design for horizontal scaling from day one
- Security: Regular security audits and penetration testing
9. Timeline & Milestones
- Week 1: Project setup, database design, basic Laravel structure
- Week 2: Frontend components, FastAPI service foundation
- Week 3: ML/AI integration, PDF generation, email system
- Week 4: Integration testing, performance optimization
- Week 5: User testing, bug fixes, security hardening
- Week 6: Deployment, monitoring setup, go-live preparation
Free Contract Law Chatbots on OpenAI
Yes, OpenAI offers free access to AI tools that can effectively serve as contract law chatbots, though they aren't pre-built "dedicated" bots specifically for that niche. I'll break it down for you step by step, including what's available, how to use it, and any limitations. Keep in mind that OpenAI's platform (primarily through ChatGPT) is general-purpose, so you can customize interactions via prompts to focus on contract law.
Free Options at OpenAI
ChatGPT Free Tier:
- Availability: Head to chat.openai.com and sign up for a free account (no credit card required). This gives you access to the base version of ChatGPT (powered by GPT-3.5 or similar models in the free tier).
- How It Works as a Contract Law Bot: It's not a specialized bot out of the box, but you can turn it into one by starting your conversation with a custom prompt. For example:
- Prompt: "Act as a contract law expert. Explain concepts clearly, provide examples, and always remind me that this is not legal advice. Start by asking what specific contract law topic I need help with."
- From there, you can ask about anything: formation of contracts (offer, acceptance, consideration), breach remedies, common clauses (e.g., indemnity, force majeure), or even hypothetical scenarios like "Is this non-disclosure agreement enforceable under US law?"
- Features:
- Unlimited messages (with rate limits during peak times).
- Supports follow-up questions for in-depth discussions.
- Can handle document uploads in some contexts (e.g., paste contract text for analysis), though advanced features like file uploads are more robust in the paid version.
- Cost: Completely free, but responses might be slower or less advanced compared to the paid tier.
Custom GPTs (Limited Free Access):
- OpenAI's "GPTs" are customizable chatbots you can build and share. However, creating and using advanced custom GPTs requires ChatGPT Plus ($20/month), which isn't free.
- In the free tier, you can't create your own persistent custom bots, but you can simulate one by reusing prompts in regular chats. There are no officially free, pre-made contract law GPTs from OpenAI, but users sometimes share links to public ones (search online or on forums like Reddit for "contract law GPT").
- If you upgrade to Plus, you could create a dedicated "Contract Law Advisor" GPT tailored to your needs, with specific knowledge files or instructions.
Other OpenAI Tools:
- OpenAI Playground: This is a free developer tool at platform.openai.com/playground. It's more technical, but you can use it to experiment with prompts for contract law queries. It's not as user-friendly as ChatGPT for casual use.
- API Access: If you're a developer, OpenAI's API is free for limited usage (with a small credit upon signup), and you could build your own contract law bot. But this requires coding knowledge and isn't a ready-to-use chatbot like on Poe.com.
Tips for Using OpenAI for Contract Law
- Strengths: ChatGPT is excellent for educational purposes, breaking down complex topics (e.g., "Explain the parol evidence rule with examples"), drafting sample clauses, or reviewing hypotheticals. It's trained on a vast amount of legal knowledge up to its last update (around 2023 for free models).
- Limitations:
- Not Legal Advice: Always remember, AI isn't a lawyer. Responses are general and may not account for jurisdiction-specific laws (e.g., differences between California and New York contract rules). OpenAI itself disclaimers that it's not for professional advice—consult a licensed attorney for real cases.
- Accuracy: It can occasionally hallucinate or provide outdated info, so verify with reliable sources like official legal databases (e.g., Cornell's Legal Information Institute).
- Free Tier Restrictions: Slower during high traffic, no access to the latest models (like GPT-4o, which is in Plus), and no image generation or advanced plugins.
- Examples of Queries:
- "What are the elements of a valid contract?"
- "Review this sample clause: [paste text] – is it enforceable?"
- "Compare contract law in the US vs. EU."
Comparison to Poe.com
If you tried Poe.com as we discussed earlier, OpenAI's free ChatGPT is similar in that it's prompt-based and versatile. However, Poe has more variety in pre-made bots (including user-created ones for contract law) and access to multiple AI models (e.g., Claude, Llama) without needing Plus. If OpenAI doesn't suffice, Poe might still be a better free hub for specialized bots.
If you share more details—like a specific contract law question or if you want me to simulate a contract law bot here—I can help directly or guide you further! For instance, what's a contract topic on your mind?