Play Browser · 101 plays
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Production-grade FAI Protocol plays. Each ships with a manifest, infrastructure code, primitives, and an evaluation suite. All MIT.
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- 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
- 19-edge-ai-phi4smallOptimize quantization level (INT4/INT8), inference speed, prompt compression, battery impact, cloud sync frequency
Optimize quantization level (INT4/INT8), inference speed, prompt compression, battery impact, cloud sync frequency
- primitives
- 10
- waf
- 3
- industry
- general
- azure
- 20-anomaly-detectionsmallOptimize sensitivity thresholds, reduce false positives, tune detection windows, alert fatigue reduction
Optimize sensitivity thresholds, reduce false positives, tune detection windows, alert fatigue reduction
- primitives
- 10
- waf
- 3
- industry
- general
- azure
- 21-agentic-raglargeOptimize source selection weights, iteration thresholds, cache hit rates, cost per query, max retrieval hops
Optimize source selection weights, iteration thresholds, cache hit rates, cost per query, max retrieval hops
- primitives
- 11
- waf
- 5
- industry
- general
- azure
- 22-multi-agent-swarmlargeOptimize swarm size, agent selection strategy, voting thresholds, parallel vs sequential, cost per task
Optimize swarm size, agent selection strategy, voting thresholds, parallel vs sequential, cost per task
- primitives
- 11
- waf
- 5
- 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
- 25-conversation-memory-layerlargeOptimize compression ratio, retrieval accuracy, storage costs, memory TTL, embedding model for recall
Optimize compression ratio, retrieval accuracy, storage costs, memory TTL, embedding model for recall
- primitives
- 10
- waf
- 5
- 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
- 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
- 33-voice-ai-agentmediumOptimize response speed, voice quality (prosody/rate), intent accuracy, dialog flow efficiency
Optimize response speed, voice quality (prosody/rate), intent accuracy, dialog flow efficiency
- primitives
- 10
- waf
- 4
- industry
- general
- azure