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
- 05-it-ticket-resolutionsmallOptimize routing rules, confidence thresholds, model selection, KB retrieval quality
Optimize routing rules, confidence thresholds, model selection, KB retrieval quality
- primitives
- 10
- waf
- 3
- industry
- customer-support
- 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
- 17-ai-observabilitysmallOptimize sampling rates, log retention tiers, alert thresholds, dashboard query performance, storage cost
Optimize sampling rates, log retention tiers, alert thresholds, dashboard query performance, storage cost
- 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
- 46-healthcare-clinical-ailargeOptimize de-identification recall, clinical coding accuracy, drug interaction grounding, response latency, evidence sourcing
Optimize de-identification recall, clinical coding accuracy, drug interaction grounding, response latency, evidence sourcing
- primitives
- 10
- waf
- 5
- industry
- developer-tools
- 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