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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- 07-multi-agent-servicemediumOptimize routing rules, per-agent model selection, timeout values, cost per task
Optimize routing rules, per-agent model selection, timeout values, cost per task
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 09-ai-search-portalmediumOptimize scoring profiles, boost functions, caching strategy, embedding model selection, cost
Optimize scoring profiles, boost functions, caching strategy, embedding model selection, cost
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 11-ai-landing-zone-advancedmediumOptimize SKU sizing, region selection, policy effects (Audit vs Deny), reserved instances, cost
Optimize SKU sizing, region selection, policy effects (Audit vs Deny), reserved instances, cost
- primitives
- 10
- waf
- 5
- industry
- general
- azure
- 12-model-serving-aksmediumOptimize GPU utilization, spot node pools, auto-scaling rules, quantization level, batch size
Optimize GPU utilization, spot node pools, auto-scaling rules, quantization level, batch size
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 14-cost-optimized-ai-gatewaymediumOptimize cache TTL, similarity threshold, PTU vs pay-as-you-go, routing rules, cost per request
Optimize cache TTL, similarity threshold, PTU vs pay-as-you-go, routing rules, cost per request
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 23-browser-automation-agentmediumOptimize step count, wait strategies, selector resilience, screenshot resolution, action success rate
Optimize step count, wait strategies, selector resilience, screenshot resolution, action success rate
- primitives
- 11
- waf
- 4
- industry
- general
- azure
- 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
- 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
- 43-ai-video-generationmediumOptimize quality/cost trade-off, resolution presets, batch queue throughput, preview workflow, frame sampling rate
Optimize quality/cost trade-off, resolution presets, batch queue throughput, preview workflow, frame sampling rate
- primitives
- 10
- waf
- 4
- industry
- media
- azure