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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- 26-semantic-search-enginemediumOptimize scoring profiles, embedding model selection, query expansion, result re-ranking, cost per query
Optimize scoring profiles, embedding model selection, query expansion, result re-ranking, cost per query
- primitives
- 10
- waf
- 4
- 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
- 29-mcp-gatewaymediumOptimize tool descriptions for LLM invocation accuracy, response schemas, transport performance
Optimize tool descriptions for LLM invocation accuracy, response schemas, transport performance
- primitives
- 10
- waf
- 5
- industry
- general
- azure
- 32-ai-powered-testingmediumOptimize test prioritization, reduce flaky tests, tune generation prompts, coverage targets
Optimize test prioritization, reduce flaky tests, tune generation prompts, coverage targets
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 34-edge-ai-deploymentmediumOptimize container size, rollout strategy, model update frequency, fleet health monitoring
Optimize container size, rollout strategy, model update frequency, fleet health monitoring
- primitives
- 10
- waf
- 4
- industry
- healthcare
- azure
- 38-document-understanding-v2mediumOptimize model selection per doc type, classification thresholds, comparison accuracy, throughput
Optimize model selection per doc type, classification thresholds, comparison accuracy, throughput
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 44-foundry-local-on-devicemediumOptimize model selection per device class, complexity routing thresholds, local vs cloud cost savings, quantization levels
Optimize model selection per device class, complexity routing thresholds, local vs cloud cost savings, quantization levels
- primitives
- 10
- waf
- 4
- 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
- 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
- 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
- 56-semantic-code-searchmediumOptimize embedding model selection, boost weights (docstring vs code vs comments), query rewriting, top-k, score threshold, indexing cost
Optimize embedding model selection, boost weights (docstring vs code vs comments), query rewriting, top-k, score threshold, indexing cost
- primitives
- 10
- waf
- 4
- 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