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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- 24-ai-code-review-pipelinemediumOptimize review prompts, reduce noise/false positives, tune severity thresholds, model routing for cost
Optimize review prompts, reduce noise/false positives, tune severity thresholds, model routing for cost
- primitives
- 10
- waf
- 4
- industry
- developer-tools
- azure
- 27-ai-data-pipelinemediumOptimize batch sizes, parallelism, LLM enrichment cost, partition strategy, pipeline scheduling
Optimize batch sizes, parallelism, LLM enrichment cost, partition strategy, pipeline scheduling
- primitives
- 10
- waf
- 5
- industry
- data-platform
- azure
- 40-copilot-studio-advancedmediumOptimize plugin latency, conversation context, Graph query efficiency, adaptive card rendering
Optimize plugin latency, conversation context, Graph query efficiency, adaptive card rendering
- primitives
- 10
- waf
- 4
- industry
- developer-tools
- 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
- 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
- 69-carbon-footprint-trackermediumOptimize Scope 3 estimation accuracy, emission factor updates, data collection automation, supplier engagement rate, reporting efficiency
Optimize Scope 3 estimation accuracy, emission factor updates, data collection automation, supplier engagement rate, reporting efficiency
- primitives
- 10
- waf
- 4
- industry
- data-platform
- azure
- 76-accessibility-learning-agentmediumOptimize check accuracy, prioritize high-impact fixes, tune alt-text quality, reduce false positives
Optimize check accuracy, prioritize high-impact fixes, tune alt-text quality, reduce false positives
- primitives
- 10
- waf
- 4
- industry
- education
- azure
- 84-citizen-services-chatbotmediumOptimize response accuracy, reading level, language coverage, resolution rate, escalation rules
Optimize response accuracy, reading level, language coverage, resolution rate, escalation rules
- primitives
- 10
- waf
- 4
- industry
- customer-support
- azure
- 86-public-safety-analyticsmediumOptimize resource allocation, response time targets, bias thresholds, temporal pattern sensitivity
Optimize resource allocation, response time targets, bias thresholds, temporal pattern sensitivity
- primitives
- 10
- waf
- 4
- industry
- data-platform
- azure
- 91-customer-churn-predictormediumOptimize risk thresholds, feature selection, retention ROI, segment-specific actions
Optimize risk thresholds, feature selection, retention ROI, segment-specific actions
- primitives
- 10
- waf
- 4
- industry
- customer-support
- azure
- 93-continual-learning-agentmediumOptimize memory retention TTL, distillation thresholds, reflection frequency, retrieval relevance
Optimize memory retention TTL, distillation thresholds, reflection frequency, retrieval relevance
- primitives
- 10
- waf
- 4
- industry
- education
- azure