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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- 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
- 45-realtime-event-aimediumOptimize batch size, anomaly thresholds, LLM-to-rule ratio, consumer scaling, alert aggregation, checkpoint intervals
Optimize batch size, anomaly thresholds, LLM-to-rule ratio, consumer scaling, alert aggregation, checkpoint intervals
- 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
- 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
- 58-digital-twin-agentmediumOptimize NL→DTDL query accuracy, predictive maintenance confidence, sensor refresh rate, telemetry archival cost, twin update throughput
Optimize NL→DTDL query accuracy, predictive maintenance confidence, sensor refresh rate, telemetry archival cost, twin update throughput
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 60-responsible-ai-dashboardmediumOptimize monitoring cadence, alert thresholds, executive summary quality, report scheduling, intersectional group coverage
Optimize monitoring cadence, alert thresholds, executive summary quality, report scheduling, intersectional group coverage
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 61-content-moderation-v2mediumOptimize per-category severity thresholds, reduce false positives, tune custom blocklists, improve review queue throughput, minimize latency
Optimize per-category severity thresholds, reduce false positives, tune custom blocklists, improve review queue throughput, minimize latency
- primitives
- 10
- waf
- 4
- industry
- media
- azure
- 64-ai-sales-assistantmediumOptimize scoring weights for conversion correlation, email personalization depth, talk track relevance, CRM sync frequency, cost per lead
Optimize scoring weights for conversion correlation, email personalization depth, talk track relevance, CRM sync frequency, cost per lead
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 65-ai-training-curriculummediumOptimize learning path effectiveness, completion rates, assessment difficulty calibration, content freshness, cost per learner
Optimize learning path effectiveness, completion rates, assessment difficulty calibration, content freshness, cost per learner
- primitives
- 10
- waf
- 4
- industry
- media
- 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