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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- 100-fai-meta-agentlargeOptimize routing model, play matching, combination rules, recommendation feedback loop
Optimize routing model, play matching, combination rules, recommendation feedback loop
- primitives
- 10
- waf
- 6
- industry
- general
- azure
- 11-ai-landing-zone-advancedmediumOptimize SKU sizing, region selection, policy effects (Audit vs Deny), reserved instances, cost
Optimize SKU sizing, region selection, policy effects (Audit vs Deny), reserved instances, cost
- primitives
- 10
- waf
- 5
- industry
- general
- azure
- 22-multi-agent-swarmlargeOptimize swarm size, agent selection strategy, voting thresholds, parallel vs sequential, cost per task
Optimize swarm size, agent selection strategy, voting thresholds, parallel vs sequential, cost per task
- primitives
- 11
- waf
- 5
- industry
- general
- azure
- 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
- 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
- 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
- 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