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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- 02-ai-landing-zonemediumOptimize SKU sizing, cost, quota, monitoring thresholds, network configuration
Optimize SKU sizing, cost, quota, monitoring thresholds, network configuration
- 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
- 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
- 18-prompt-managementsmallOptimize prompt token usage, A/B test analysis, template compression, few-shot example selection
Optimize prompt token usage, A/B test analysis, template compression, few-shot example selection
- primitives
- 10
- waf
- 3
- industry
- general
- 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
- 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
- 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
- 37-ai-powered-devopsmediumOptimize alert correlation windows, risk scoring weights, remediation confidence thresholds, false positive rate
Optimize alert correlation windows, risk scoring weights, remediation confidence thresholds, false positive rate
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 42-computer-use-agentmediumOptimize screenshot resolution, action reliability, step efficiency, vision token cost, coordinate accuracy
Optimize screenshot resolution, action reliability, step efficiency, vision token cost, coordinate accuracy
- primitives
- 10
- waf
- 4
- industry
- general
- 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
- 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
- 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