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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- 31-low-code-ai-buildermediumOptimize pipeline execution performance, model selection per step, template quality, deployment speed
Optimize pipeline execution performance, model selection per step, template quality, deployment speed
- 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
- 51-autonomous-coding-agentmediumOptimize plan accuracy, reduce iteration cycles, improve test coverage, tune auto-merge criteria, minimize token cost per PR
Optimize plan accuracy, reduce iteration cycles, improve test coverage, tune auto-merge criteria, minimize token cost per PR
- primitives
- 10
- waf
- 4
- industry
- developer-tools
- azure
- 52-ai-api-gateway-v2mediumOptimize routing rules (complexity-based), cache hit rate, circuit breaker timing, cost per query, per-consumer quotas
Optimize routing rules (complexity-based), cache hit rate, circuit breaker timing, cost per query, per-consumer quotas
- primitives
- 10
- waf
- 4
- industry
- developer-tools
- 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
- 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