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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- 08-copilot-studio-botsmallOptimize topic triggers, knowledge relevance, generative answers quality, fallback rate
Optimize topic triggers, knowledge relevance, generative answers quality, fallback rate
- primitives
- 10
- waf
- 3
- industry
- developer-tools
- azure
- 10-content-moderationsmallOptimize category thresholds, reduce false positives, custom blocklist management, latency
Optimize category thresholds, reduce false positives, custom blocklist management, latency
- primitives
- 10
- waf
- 3
- industry
- media
- azure
- 101-pester-test-developmentsmallOptimize code coverage, eliminate flaky tests, tune CI/CD pipelines, improve test performance
Optimize code coverage, eliminate flaky tests, tune CI/CD pipelines, improve test performance
- primitives
- 12
- waf
- 3
- industry
- developer-tools
- azure
- 13-fine-tuning-workflowsmallOptimize LoRA rank, learning rate, epochs, batch size, compute selection, cost per training run
Optimize LoRA rank, learning rate, epochs, batch size, compute selection, cost per training run
- primitives
- 10
- waf
- 3
- industry
- education
- azure
- 16-copilot-teams-extensionsmallOptimize Adaptive Card layouts, response quality, Graph API batching, caching strategy
Optimize Adaptive Card layouts, response quality, Graph API batching, caching strategy
- primitives
- 10
- waf
- 3
- 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
- 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