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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- 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
- 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
- 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
- 47-synthetic-data-factorymediumOptimize data diversity, statistical accuracy, correlation preservation, generation cost, batch size, temperature for variety
Optimize data diversity, statistical accuracy, correlation preservation, generation cost, batch size, temperature for variety
- primitives
- 10
- waf
- 4
- industry
- manufacturing
- azure
- 55-supply-chain-aimediumOptimize forecast model parameters, feature selection, reforecast triggers, risk thresholds, safety stock levels, lead time buffers
Optimize forecast model parameters, feature selection, reforecast triggers, risk thresholds, safety stock levels, lead time buffers
- primitives
- 10
- waf
- 4
- industry
- manufacturing
- azure
- 61-content-moderation-v2mediumOptimize per-category severity thresholds, reduce false positives, tune custom blocklists, improve review queue throughput, minimize latency
Optimize per-category severity thresholds, reduce false positives, tune custom blocklists, improve review queue throughput, minimize latency
- primitives
- 10
- waf
- 4
- industry
- media
- 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
- 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
- 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
- 96-realtime-voice-agent-v2mediumOptimize streaming latency, voice quality, function call filler speech, emotion sensitivity
Optimize streaming latency, voice quality, function call filler speech, emotion sensitivity
- primitives
- 10
- waf
- 4
- industry
- media
- azure
- 97-ai-data-marketplacemediumOptimize quality scoring weights, search relevance, pricing strategy, synthetic data fidelity
Optimize quality scoring weights, search relevance, pricing strategy, synthetic data fidelity
- primitives
- 10
- waf
- 4
- industry
- data-platform
- azure