Case Study
How Agentic AI Built the Verification Layer for Philippine Real Estate
192,874 records. 25,264 brokers. 8,240 LTS. Free public service.
The Challenge
Philippine real estate data existed. Access didn't.
- •Zonal values: Buried in BIR Excel files, organized by RDO
- •Brokers: One-by-one lookup on PRC
- •LTS: Slow, legacy DHSUD interface
- •Alternatives: Clunky tools flooded with ads
No unified platform. No modern access. No public infrastructure.
The Solution
I built Ren.ph: a unified verification platform.
Data Sources Integrated
- • BIR (zonal values)
- • PRC (broker licenses)
- • DHSUD (License to Sell)
Features
- • Instant search across all data
- • Working calculators
- • Legal templates
- • Training academy
- • Modern, mobile-friendly UI
- • Free, no ads
The Numbers
| Data Type | Count |
|---|---|
| Zonal value entries | 192,874 |
| Street-level zones | 158,534 |
| Barangay zones | 34,340 |
| Cities covered | 1,474 |
| Brokers verified | 25,264 |
| LTS records | 8,240 |
The System (High Level)
Multiple AI agents working as a coordinated system:
Architect Agent
Orchestrates the workflow
Research Agent
Gathers data from sources
Normalizer Agent
Structures and standardizes
Validator Agent
Cross-checks accuracy
Publisher Agent
Deploys to production
Each agent hands off to the next. Errors get caught. Quality stays consistent. This is Algorithmic Integrity in action.
What This Means For You
The same architecture applies to any workflow that needs to scale:
If it needs to scale without scaling headcount, agentic AI can build it.
Deep Dive: The Methodology
Read the full Integrity Gap whitepaper to understand how Algorithmic Integrity enables Answer Engine Optimization.