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
- 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
- 63-fraud-detection-agentlargeOptimize detection thresholds per transaction type, reduce false positives, tune velocity windows, calibrate ML model, improve graph analysis depth
Optimize detection thresholds per transaction type, reduce false positives, tune velocity windows, calibrate ML model, improve graph analysis depth
- primitives
- 10
- waf
- 5
- industry
- general
- azure
- 64-ai-sales-assistantmediumOptimize scoring weights for conversion correlation, email personalization depth, talk track relevance, CRM sync frequency, cost per lead
Optimize scoring weights for conversion correlation, email personalization depth, talk track relevance, CRM sync frequency, cost per lead
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 66-ai-infrastructure-optimizermediumOptimize utilization thresholds, cost anomaly sensitivity, analysis frequency, auto-scale triggers, GPU-to-CPU migration criteria
Optimize utilization thresholds, cost anomaly sensitivity, analysis frequency, auto-scale triggers, GPU-to-CPU migration criteria
- primitives
- 10
- waf
- 5
- industry
- general
- azure
- 67-ai-knowledge-managementlargeOptimize capture rate from sources, dedup similarity threshold, taxonomy depth, freshness TTL, expertise scoring weights, retrieval relevance
Optimize capture rate from sources, dedup similarity threshold, taxonomy depth, freshness TTL, expertise scoring weights, retrieval relevance
- primitives
- 10
- waf
- 5
- industry
- general
- azure
- 68-predictive-maintenance-ailargeOptimize RUL thresholds (urgent/planned/monitor), feature selection, model retrain frequency, alert aggregation, cost of downtime vs maintenance
Optimize RUL thresholds (urgent/planned/monitor), feature selection, model retrain frequency, alert aggregation, cost of downtime vs maintenance
- primitives
- 10
- waf
- 5
- industry
- general
- azure
- 71-smart-energy-grid-ailargeOptimize forecast models, renewable curtailment thresholds, demand response timing, cost
Optimize forecast models, renewable curtailment thresholds, demand response timing, cost
- primitives
- 10
- waf
- 5
- industry
- general
- 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