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
21 of 101 playsClear filters
- 51-autonomous-coding-agentmediumOptimize plan accuracy, reduce iteration cycles, improve test coverage, tune auto-merge criteria, minimize token cost per PR
Optimize plan accuracy, reduce iteration cycles, improve test coverage, tune auto-merge criteria, minimize token cost per PR
- primitives
- 10
- waf
- 4
- industry
- developer-tools
- azure
- 55-supply-chain-aimediumOptimize forecast model parameters, feature selection, reforecast triggers, risk thresholds, safety stock levels, lead time buffers
Optimize forecast model parameters, feature selection, reforecast triggers, risk thresholds, safety stock levels, lead time buffers
- primitives
- 10
- waf
- 4
- industry
- manufacturing
- 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
- 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