Play 81 — Property Valuation AI 🏠
Automated property appraisal — comparable sales analysis, ML valuation model, adjustment engine, bias testing, regulatory-compliant reports.
Build an automated valuation model (AVM). AI Search finds geospatially-filtered comparable sales, paired-sales-derived adjustment factors normalize for differences (sqft, condition, features), gradient boosting predicts value with confidence intervals, and LLM generates professional appraisal narratives.
Quick Start
cd solution-plays/81-property-valuation-ai
az deployment group create -g $RG -f infra/main.bicep -p infra/parameters.json
code .
# Use @builder to implement, @reviewer to audit, @tuner to optimizeArchitecture
Pre-Tuned Defaults
- Comp search: 2km radius · 6 months recency · ±20% sqft · top 5 comps
- Adjustments: $/sqft, bedrooms, bathrooms, condition, features · USPAP net <25%
- Confidence: ±8% default · widens for few/old/distant comps
- Bias: ECOA compliance · disparate impact 0.80-1.25 · no protected features
DevKit (AI-Assisted Development)
| Primitive | What It Does |
|---|---|
agent.md | Root orchestrator with builder→reviewer→tuner handoffs |
copilot-instructions.md | Valuation domain (AVM, comps, adjustments, fair lending pitfalls) |
| 3 agents | Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini) |
| 3 skills | Deploy (205+ lines), Evaluate (125+ lines), Tune (230+ lines) |
| 4 prompts | /deploy, /test, /review, /evaluate with agent routing |
Cost Estimate
| Service | Dev | Prod | Enterprise |
|---|---|---|---|
| Azure OpenAI | $30 | $400 | $1,500 |
| Azure AI Search | $0 | $250 | $1,000 |
| Cosmos DB | $3 | $90 | $350 |
| Azure Machine Learning | $0 | $200 | $700 |
| Azure Functions | $0 | $35 | $200 |
| Container Apps | $10 | $150 | $400 |
| Key Vault | $1 | $5 | $15 |
| Application Insights | $0 | $30 | $100 |
| Total | $44 | $1,160 | $4,265 |
vs. Play 72 (Climate Risk Assessor)
| Aspect | Play 72 | Play 81 |
|---|---|---|
| Focus | Climate physical/transition risk | Property value estimation |
| Model | NGFS scenario projection | Gradient boosting on comp data |
| Bias Concern | Greenwashing detection | Fair lending / disparate impact |
| Regulation | TCFD | USPAP, ECOA, Fair Housing Act |
📖 Full documentation · 🌐 frootai.dev/solution-plays/81-property-valuation-ai · 📦 FAI Protocol
FAI Manifest
| Field | Value |
|---|---|
| Play | 81-property-valuation-ai |
| Version | 1.0.0 |
| Knowledge | R2-RAG-Architecture, T3-Production-Patterns, F1-GenAI-Foundations |
| WAF Pillars | reliability, responsible-ai, security, cost-optimization |
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