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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- 01-enterprise-raglargeOptimize config values
Optimize config values — chunking params, search weights, model routing, caching, evaluation thresholds
- primitives
- 10
- waf
- 5
- industry
- general
- azure
- 04-call-center-voice-aimediumOptimize response time (STT+LLM+TTS < 2s), model routing, TTS prosody, cost
Optimize response time (STT+LLM+TTS < 2s), model routing, TTS prosody, cost
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 100-fai-meta-agentlargeOptimize routing model, play matching, combination rules, recommendation feedback loop
Optimize routing model, play matching, combination rules, recommendation feedback loop
- primitives
- 10
- waf
- 6
- 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
- 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
- 24-ai-code-review-pipelinemediumOptimize review prompts, reduce noise/false positives, tune severity thresholds, model routing for cost
Optimize review prompts, reduce noise/false positives, tune severity thresholds, model routing for cost
- primitives
- 10
- waf
- 4
- industry
- developer-tools
- 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
- 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
- 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
- 35-ai-compliance-enginemediumOptimize check frequency, reduce false positives, tune risk scoring weights, evidence retention policy
Optimize check frequency, reduce false positives, tune risk scoring weights, evidence retention policy
- primitives
- 10
- waf
- 4
- industry
- general
- azure
- 36-multimodal-agentmediumOptimize image detail level, parallel modality processing, cost per multimodal request
Optimize image detail level, parallel modality processing, cost per multimodal request
- 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