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Play 79

Food Safety Inspector AI

High✓ Designed

HACCP compliance automation with contamination detection across the food supply chain.

HACCP compliance automation with contamination detection across the food supply chain - farm to fork traceability, temperature monitoring, pathogen risk scoring, and regulatory audit trail generation. Document Intelligence extracts HACCP plans and inspection reports, OpenAI performs regulatory gap analysis, Cosmos DB stores traceability records with global distribution, Event Hubs processes real-time temperature telemetry, and IoT Hub monitors cold chain integrity.

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Architecture Pattern

Event-driven food safety: IoT monitoring - contamination detection - traceability - HACCP audit

Azure Services

Azure Document IntelligenceAzure OpenAIAzure Cosmos DBAzure Event HubsAzure IoT Hub

DevKit (.github Agentic OS)

  • agent.md — root orchestrator with builder→reviewer→tuner handoffs
  • 3 agents — Food Safety Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
  • 3 skills — deploy (209 lines), evaluate (123 lines), tune (238 lines)
  • 4 prompts — /deploy, /test, /review, /evaluate with agent routing
  • .vscode/mcp.json — FrootAI MCP with OpenAI + IoT Hub inputs + envFile

TuneKit (AI Config)

  • config/openai.json - regulatory analysis and risk assessment prompts
  • config/food-safety.json - HACCP standards, pathogen databases, temperature limits
  • config/guardrails.json - food safety thresholds, recall triggers
  • evaluation/eval.py - Contamination detection >95%, Audit completeness >99%

Tuning Parameters

Temperature alert thresholdsPathogen risk modelsTraceability depthAudit retention periodRecall trigger sensitivity

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.

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