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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- 01-enterprise-raglargeOptimize config values
Optimize config values — chunking params, search weights, model routing, caching, evaluation thresholds
- primitives
- 10
- waf
- 5
- industry
- general
- azure
- 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
- 19-edge-ai-phi4smallOptimize quantization level (INT4/INT8), inference speed, prompt compression, battery impact, cloud sync frequency
Optimize quantization level (INT4/INT8), inference speed, prompt compression, battery impact, cloud sync frequency
- primitives
- 10
- waf
- 3
- industry
- general
- azure
- 21-agentic-raglargeOptimize source selection weights, iteration thresholds, cache hit rates, cost per query, max retrieval hops
Optimize source selection weights, iteration thresholds, cache hit rates, cost per query, max retrieval hops
- primitives
- 11
- 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
- 25-conversation-memory-layerlargeOptimize compression ratio, retrieval accuracy, storage costs, memory TTL, embedding model for recall
Optimize compression ratio, retrieval accuracy, storage costs, memory TTL, embedding model for recall
- primitives
- 10
- waf
- 5
- industry
- general
- azure
- 28-knowledge-graph-raglargeOptimize graph traversal depth, entity resolution thresholds, hybrid graph+vector retrieval weights, cost per query
Optimize graph traversal depth, entity resolution thresholds, hybrid graph+vector retrieval weights, cost per query
- 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
- 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