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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- 29-mcp-gatewaymediumOptimize tool descriptions for LLM invocation accuracy, response schemas, transport performance
Optimize tool descriptions for LLM invocation accuracy, response schemas, transport performance
- primitives
- 10
- waf
- 5
- industry
- general
- azure
- 44-foundry-local-on-devicemediumOptimize model selection per device class, complexity routing thresholds, local vs cloud cost savings, quantization levels
Optimize model selection per device class, complexity routing thresholds, local vs cloud cost savings, quantization levels
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 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
- 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
- 52-ai-api-gateway-v2mediumOptimize routing rules (complexity-based), cache hit rate, circuit breaker timing, cost per query, per-consumer quotas
Optimize routing rules (complexity-based), cache hit rate, circuit breaker timing, cost per query, per-consumer quotas
- primitives
- 10
- waf
- 4
- industry
- developer-tools
- 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
- 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
- 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