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All Solution Plays

Play 81

Property Valuation AI

High Designed

Automated property appraisal with comparable sales analysis and satellite imagery assessment.

Automated property appraisal combining comparable sales analysis, market trend prediction, neighborhood scoring, and satellite imagery assessment for real estate valuation and mortgage underwriting. AI Search indexes comparable sales databases, OpenAI performs valuation analysis and report generation, Cosmos DB stores property records with geospatial indexing, Machine Learning runs market trend prediction models, and Functions orchestrate the appraisal workflow.

Architecture Pattern

RAG-driven valuation: comparable search - market prediction - neighborhood scoring - appraisal report

Azure Services

Azure OpenAIAzure AI SearchAzure Cosmos DBAzure Machine LearningAzure Functions

DevKit (.github Agentic OS)

  • agent.md — root orchestrator with builder→reviewer→tuner handoffs
  • 3 agents — Valuation Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
  • 3 skills — deploy (208 lines), evaluate (131 lines), tune (231 lines)
  • 4 prompts — /deploy, /test, /review, /evaluate with agent routing
  • .vscode/mcp.json — FrootAI MCP with OpenAI + Maps inputs + envFile

TuneKit (AI Config)

  • config/openai.json - valuation analysis and report generation prompts
  • config/valuation.json - comparable radius, market windows, scoring weights
  • config/guardrails.json - valuation accuracy thresholds, bias detection
  • evaluation/eval.py - Appraisal accuracy >95%, Market prediction >85%

Tuning Parameters

Comparable radiusMarket trend windowNeighborhood score weightsConfidence intervalAppraisal methodology

Machine evidence

FrootAI evidence lifecycle

This is an internal evidence maturity label, not third-party certification, accreditation, legal compliance, or a production guarantee. Missing or expired evidence demotes automatically; catalog claims cannot promote a play.

Designed
designed
build verified
evaluation verified

This play currently has design evidence only. A runnable scenario, endpoint evaluation, and build receipts are the next contiguous gates.

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Repo Intelligence

v1

A no-clone, revision-pinned map for agents and humans. Observed evidence is separated from inferred flow so the output stays useful without pretending to be a full call graph.

Indexing bounded repository evidence…