Welcome to CREstimate.ai Architecture
Agentic AI for Commercial Real Estate Valuations
This documentation provides a comprehensive architectural blueprint for CREstimate.ai, an agentic AI system that augments traditional commercial real estate valuations with intelligent market sentiment analysis.
🎯 Key Highlights
🤖 Agentic AI Approach: Smitty, our autonomous AI economist, analyzes market sentiment using goal-directed behavior and continuous learning—not just text generation.
📊 CRESI 6-Layer Index: Comprehensive sentiment analysis across macro-economic, micro-economic, geopolitical, capital markets, demographics, and current events.
🏗️ Arc42 Compliant: Complete architectural blueprint following the international arc42 standard for technical documentation.
🚀 Quick Start
New to this documentation? Start here:
- Solution Strategy - Understand our agentic AI approach and CRESI architecture
- Introduction - Learn about CREstimate.ai's goals and stakeholders
- ADR-001 - Deep dive into the agentic AI decision
📖 Architecture Sections
Core Architecture
- 01. Introduction and Goals - Requirements, quality goals, stakeholders
- 02. Architecture Constraints - Technical, organizational, and legal constraints
- 03. Context and Scope - Business context, external interfaces, system boundaries
- 04. Solution Strategy - Agentic AI vs generative AI, CRESI architecture, key patterns
- 05. Building Block View - System components (Smitty, CRESI Calculator, Memory Bank)
- 06. Runtime View - Sequence diagrams and runtime scenarios
- 07. Deployment View - Infrastructure and deployment topology
- Architecture Decisions - ADRs documenting key technical decisions
💡 About Agentic AI
What makes Smitty "agentic" and not just generative AI?
| Aspect | Agentic AI (Smitty) | Generative AI (ChatGPT) |
|---|---|---|
| Purpose | Takes autonomous actions to accomplish goals | Creates content from prompts |
| Behavior | Goal-directed, learns from outcomes | Stateless text generation |
| Learning | Continuous via memory bank feedback | No learning from outcomes |
| CRE Application | Analyzes 6 sentiment layers, calculates scores | Could write appraisal narratives |
Learn more: ADR-001: Agentic AI Approach
📬 Contact
- Email: [email protected]
- CTO (Technical): [email protected]
- CEO (Business): [email protected]
This documentation follows the arc42 template for software architecture documentation.
Version: 1.0.0 · Last updated: October 2025