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.
Filter
76 of 101 playsClear filters
- 45-realtime-event-aimediumOptimize batch size, anomaly thresholds, LLM-to-rule ratio, consumer scaling, alert aggregation, checkpoint intervals
Optimize batch size, anomaly thresholds, LLM-to-rule ratio, consumer scaling, alert aggregation, checkpoint intervals
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 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
- 49-creative-ai-studiolargeOptimize creative temperature, variation diversity, brand voice fidelity, A/B test performance, cross-platform adaptation quality
Optimize creative temperature, variation diversity, brand voice fidelity, A/B test performance, cross-platform adaptation quality
- 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
- 57-ai-translation-enginemediumOptimize LLM refinement ratio, quality score thresholds, glossary coverage, batch throughput, cost per 1K words
Optimize LLM refinement ratio, quality score thresholds, glossary coverage, batch throughput, cost per 1K words
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 58-digital-twin-agentmediumOptimize NL→DTDL query accuracy, predictive maintenance confidence, sensor refresh rate, telemetry archival cost, twin update throughput
Optimize NL→DTDL query accuracy, predictive maintenance confidence, sensor refresh rate, telemetry archival cost, twin update throughput
- 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
- 60-responsible-ai-dashboardmediumOptimize monitoring cadence, alert thresholds, executive summary quality, report scheduling, intersectional group coverage
Optimize monitoring cadence, alert thresholds, executive summary quality, report scheduling, intersectional group coverage
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 61-content-moderation-v2mediumOptimize per-category severity thresholds, reduce false positives, tune custom blocklists, improve review queue throughput, minimize latency
Optimize per-category severity thresholds, reduce false positives, tune custom blocklists, improve review queue throughput, minimize latency
- primitives
- 10
- waf
- 4
- industry
- media
- 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