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
- 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
- 66-ai-infrastructure-optimizermediumOptimize utilization thresholds, cost anomaly sensitivity, analysis frequency, auto-scale triggers, GPU-to-CPU migration criteria
Optimize utilization thresholds, cost anomaly sensitivity, analysis frequency, auto-scale triggers, GPU-to-CPU migration criteria
- primitives
- 10
- waf
- 5
- industry
- general
- azure