Play Browser · 101 plays
Solution plays
Production-grade FAI Protocol plays. Each ships with a manifest, infrastructure code, primitives, and an evaluation suite. All MIT.
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- 48-ai-model-governancelargeOptimize A/B test duration, traffic split ratios, drift detection thresholds, rollout speed, approval SLA
Optimize A/B test duration, traffic split ratios, drift detection thresholds, rollout speed, approval SLA
- primitives
- 10
- waf
- 5
- industry
- general
- azure
- 50-financial-risk-intelligencelargeOptimize fraud decision thresholds, risk score accuracy, LLM usage ratio for edge cases, latency for real-time scoring, fairness constraints
Optimize fraud decision thresholds, risk score accuracy, LLM usage ratio for edge cases, latency for real-time scoring, fairness constraints
- primitives
- 10
- waf
- 6
- industry
- general
- azure
- 53-legal-document-aimediumOptimize clause detection accuracy, risk score calibration, redline quality, processing throughput for large contracts, clause library coverage
Optimize clause detection accuracy, risk score calibration, redline quality, processing throughput for large contracts, clause library coverage
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 54-ai-customer-support-v2largeOptimize intent classification accuracy, reduce unnecessary escalations, improve CSAT scores, tune sentiment thresholds, minimize cost per resolution
Optimize intent classification accuracy, reduce unnecessary escalations, improve CSAT scores, tune sentiment thresholds, minimize cost per resolution
- primitives
- 10
- waf
- 5
- industry
- customer-support
- azure
- 59-ai-recruiter-agentmediumOptimize matching accuracy, reduce disparate impact, calibrate scoring weights, tune PII detection recall, minimize cost per screening
Optimize matching accuracy, reduce disparate impact, calibrate scoring weights, tune PII detection recall, minimize cost per screening
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 62-federated-learning-pipelinelargeOptimize convergence speed, client selection strategy, DP epsilon/utility trade-off, aggregation weights, round count, learning rate schedule
Optimize convergence speed, client selection strategy, DP epsilon/utility trade-off, aggregation weights, round count, learning rate schedule
- primitives
- 10
- waf
- 5
- industry
- education
- azure
- 72-climate-risk-assessormediumOptimize scenario parameters, risk thresholds, time horizons, reporting granularity
Optimize scenario parameters, risk thresholds, time horizons, reporting granularity
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 81-property-valuation-aimediumOptimize adjustment factors, comp selection radius, model accuracy, confidence intervals
Optimize adjustment factors, comp selection radius, model accuracy, confidence intervals
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 97-ai-data-marketplacemediumOptimize quality scoring weights, search relevance, pricing strategy, synthetic data fidelity
Optimize quality scoring weights, search relevance, pricing strategy, synthetic data fidelity
- primitives
- 10
- waf
- 4
- industry
- data-platform
- azure
- 99-enterprise-ai-governance-hublargeOptimize review cadence, risk classification rules, policy enforcement, dashboard metrics
Optimize review cadence, risk classification rules, policy enforcement, dashboard metrics
- primitives
- 10
- waf
- 5
- industry
- general
- azure