Play Browser · 101 plays
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Production-grade FAI Protocol plays. Each ships with a manifest, infrastructure code, primitives, and an evaluation suite. All MIT.
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- 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
- 54-ai-customer-support-v2largeOptimize intent classification accuracy, reduce unnecessary escalations, improve CSAT scores, tune sentiment thresholds, minimize cost per resolution
Optimize intent classification accuracy, reduce unnecessary escalations, improve CSAT scores, tune sentiment thresholds, minimize cost per resolution
- primitives
- 10
- waf
- 5
- industry
- customer-support
- azure
- 62-federated-learning-pipelinelargeOptimize convergence speed, client selection strategy, DP epsilon/utility trade-off, aggregation weights, round count, learning rate schedule
Optimize convergence speed, client selection strategy, DP epsilon/utility trade-off, aggregation weights, round count, learning rate schedule
- primitives
- 10
- waf
- 5
- industry
- education
- 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