Play 85
Policy Impact Analyzer
High✅ Ready
Regulatory change detection with cross-sector impact assessment.
Regulatory change detection with cross-sector impact assessment, stakeholder mapping, public comment analysis, and automated briefing generation for legislative and executive decision-makers. OpenAI analyzes policy text and generates briefings, AI Search indexes regulatory databases, Document Intelligence extracts structured data from legislative documents, Cosmos DB stores impact assessments, and Functions orchestrate change detection pipelines.
Architecture Pattern
Policy analysis pipeline: regulatory feed monitoring - document extraction - impact assessment - stakeholder mapping - briefing generation
Azure Services
Azure OpenAIAzure AI SearchAzure Document IntelligenceAzure Cosmos DBAzure Functions
DevKit (.github Agentic OS)
- agent.md — root orchestrator with builder→reviewer→tuner handoffs
- 3 agents — Policy Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
- 3 skills — deploy (231 lines), evaluate (107 lines), tune (245 lines)
- 4 prompts — /deploy, /test, /review, /evaluate with agent routing
- .vscode/mcp.json — FrootAI MCP with OpenAI + AI Search inputs + envFile
TuneKit (AI Config)
- config/openai.json - policy analysis and briefing generation prompts
- config/regulatory.json - source feeds, impact categories, stakeholder types
- config/guardrails.json - bias detection, factual accuracy thresholds
- evaluation/eval.py - Impact accuracy >85%, Briefing quality >90%
Tuning Parameters
Regulatory source feedsImpact assessment depthStakeholder categoriesBriefing formatChange detection sensitivity
Estimated Cost
Dev/Test
$80-200/mo
Production
$2K-8K/mo