Primitives

fai-play-17-tuner

AI Observability tuner — Log Analytics commitment tier selection, sampling rate config, alert threshold calibration, dashboard refresh optimization, and retention policy tuning.

• cost-optimization
• operational-excellence

fai-play-18-builder

Prompt Optimization builder — prompt versioning with semantic versions, A/B testing framework, Azure Prompt Flow, template engine with variable injection, and evaluation-driven iteration.

• performance-efficiency
• cost-optimization
• reliability

fai-play-18-tuner

Prompt Optimization tuner — system message clarity, few-shot example selection, A/B test config, template variable defaults, and prompt cost-quality trade-off analysis.

• cost-optimization
• performance-efficiency

fai-play-19-builder

Edge AI builder — Phi-4 on-device inference, ONNX quantization (INT4/INT8), Azure IoT Hub fleet management, offline-first architecture, and cloud fallback patterns.

• reliability
• performance-efficiency
• cost-optimization

fai-play-19-tuner

Edge AI tuner — quantization level selection, on-device latency optimization, sync schedule config, cloud fallback thresholds, and per-device cost analysis.

• cost-optimization
• performance-efficiency

fai-play-20-tuner

Real-Time Analytics tuner — window size optimization, anomaly threshold calibration, baseline window selection, alert severity rules, and streaming cost analysis.

• cost-optimization
• performance-efficiency

fai-play-21-tuner

Agentic RAG tuner — iteration depth config, source weight optimization, reflection threshold calibration, citation requirements, and per-query cost analysis.

• cost-optimization
• performance-efficiency

fai-play-22-tuner

Swarm Orchestration tuner — topology selection, agent count optimization, consensus config, memory TTL calibration, and per-agent budget allocation.

• cost-optimization
• performance-efficiency

fai-play-23-tuner

Browser Agent tuner — screenshot resolution config, timeout calibration, retry strategy, domain allowlist management, and vision cost optimization.

• cost-optimization
• performance-efficiency

fai-play-lifecycle

FAI play lifecycle manager — handles play initialization (scaffold file structure), Bicep deployment, evaluation quality gates, and config tuning for any of the 101 solution plays.

• operational-excellence
• reliability
• cost-optimization

fai-power-bi-expert

Power BI specialist — star schema data modeling, DAX formulas, report design, DirectQuery vs Import, AI-powered analytics with Azure OpenAI integration, and performance optimization.

• performance-efficiency
• cost-optimization

fai-qwik-expert

Qwik framework specialist — resumability (zero hydration), lazy loading, QwikCity routing, Island architecture, and instant-on AI-powered web applications.

• performance-efficiency
• cost-optimization

fai-turso-expert

Turso specialist — libSQL (SQLite fork), edge replication, embedded vector search, multi-tenant databases, and low-latency AI data patterns.

• performance-efficiency
• cost-optimization

ai-prompt-safety-waf

AI prompt safety in application code — input sanitization, output validation, structured output enforcement, content filtering, token budget management, system message protection, and secure logging for LLM-integrated applications.

• responsible-ai
• security
• cost-optimization

aspnet-waf

ASP.NET Core 9 standards — Minimal APIs, DI, middleware pipeline, Entra ID auth, EF Core, health checks, rate limiting, output caching, and Azure-native integration.

• security
• reliability
• operational-excellence
• performance-efficiency
• +1

azure-ai-document-intelligence-waf

Azure AI Document Intelligence standards — model selection, layout analysis, table/form extraction, custom models, batch processing, confidence thresholds, SDK usage, and Bicep deployment.

• reliability
• performance-efficiency
• cost-optimization
• security
• +1

azure-ai-language-waf

Azure AI Language standards — text analytics, NER, sentiment analysis, PII detection, summarization, CLU, custom text classification, healthcare NLP, SDK patterns, and batch processing.

• responsible-ai
• reliability
• performance-efficiency
• security
• +1

azure-ai-speech-waf

Azure AI Speech standards — STT (real-time + batch), TTS (neural voices, SSML, custom voice), speech translation, pronunciation assessment, speaker recognition, WebSocket streaming, SDK patterns, and latency optimization.

• performance-efficiency
• reliability
• security
• cost-optimization
• +1

azure-ai-vision-waf

Azure AI Vision standards — image analysis, OCR, custom classification, spatial analysis, and content safety patterns.

• reliability
• performance-efficiency
• security
• cost-optimization

azure-app-service-waf

Azure App Service standards — deployment slots, scaling, authentication, monitoring, and security patterns.

• reliability
• security
• cost-optimization
• operational-excellence

azure-bicep-avm

Azure Bicep AVM (Azure Verified Modules) standards — module usage, parameter patterns, WAF-aligned infrastructure.

• security
• reliability
• cost-optimization
• operational-excellence

azure-cosmos-waf

Azure Cosmos DB standards — global distribution, partitioning, consistency, RU optimization, vector search.

• security
• reliability
• cost-optimization
• operational-excellence
• +1

azure-devops-waf

Azure DevOps standards — YAML pipelines, environments, service connections, test management, boards.

• security
• reliability
• cost-optimization
• operational-excellence
• +1

azure-front-door-waf

Azure Front Door & WAF standards — global load balancing, WAF rules, caching, SSL offloading, origin protection.

• security
• reliability
• cost-optimization
• operational-excellence
• +1