Primitives

fai-a2a-expert

Agent-to-Agent (A2A) protocol specialist — Google's agent interop standard, AgentCard discovery, task lifecycle, streaming artifacts, push notifications, and multi-agent communication patterns.

• reliability
• security
• performance-efficiency

fai-ag-ui-expert

AG-UI protocol specialist — Agent-User Interaction standard, event-based rendering, streaming state updates, tool call lifecycle, and frontend integration for AI agent experiences.

• performance-efficiency
• reliability

fai-agentic-retriever

Agentic retrieval specialist — autonomous source selection, iterative refinement with relevance scoring, multi-hop reasoning, query decomposition, and grounded answer synthesis with inline citations.

• reliability
• performance-efficiency

fai-ai-infra-expert

AI infrastructure expert — GPU compute sizing (A100/H100), VRAM estimation, model serving (vLLM/TensorRT-LLM/Triton), AKS node pool design, PTU vs PAYG cost modeling, and quantization strategies.

• performance-efficiency
• cost-optimization
• reliability

fai-api-gateway-designer

API gateway architect — Azure APIM patterns, rate limiting, token-based throttling, multi-region load balancing, backend circuit breakers, and cost-aware routing for LLM endpoints.

• cost-optimization
• reliability
• performance-efficiency

fai-architect

Senior cloud-native solution architect — Azure Well-Architected Framework alignment, AI system design, multi-service integration, cost modeling, trade-off analysis, and production readiness assessment.

• reliability
• security
• cost-optimization
• performance-efficiency
• +2

fai-azure-aks-expert

Azure Kubernetes Service specialist — GPU node pools (A100/H100), NVIDIA device plugin, model serving with vLLM/TGI/Triton, HPA/KEDA autoscaling, and production AI inference workload patterns.

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

fai-azure-apim-expert

Azure API Management specialist — AI Gateway patterns, semantic caching, token metering, multi-backend load balancing, circuit breaker, rate limiting, and FinOps for LLM API layers.

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

fai-azure-cdn-expert

Azure Front Door & CDN specialist — global content delivery, WAF policies, caching rules, edge optimization, SSL/TLS management, and Private Link origins for AI application frontends.

• performance-efficiency
• security
• reliability

fai-azure-event-hubs-expert

Azure Event Hubs specialist — partitioned event streaming, Kafka compatibility, Schema Registry governance, real-time AI inference pipelines, and high-throughput data ingestion.

• performance-efficiency
• reliability
• cost-optimization

fai-azure-networking-expert

Azure networking specialist — hub-spoke VNet design, Private Link for AI services, NSGs, Azure Firewall, DNS private zones, and zero-trust network architecture.

• security
• reliability
• performance-efficiency

fai-azure-openai-expert

Azure OpenAI specialist — model deployment types (PTU/PAYG/Global), content filtering, structured output, token optimization, multi-region load balancing, and production inference patterns.

• cost-optimization
• performance-efficiency
• security
• responsible-ai

fai-azure-service-bus-expert

Azure Service Bus specialist — queues, topics/subscriptions, dead-letter handling, session-based ordered messaging, saga patterns, and agent-to-agent communication for AI workflows.

• reliability
• performance-efficiency
• security

fai-azure-sql-expert

Azure SQL specialist — Hyperscale, serverless auto-pause, native vector search, geo-replication, intelligent performance tuning, and AI integration patterns with embeddings storage.

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

fai-batch-processing-expert

Batch processing specialist — Azure Batch pools, Global Batch API (50% cost savings), Durable Functions fan-out, large-scale document/embedding pipelines, and async LLM inference patterns.

• cost-optimization
• reliability
• performance-efficiency

fai-blazor-expert

Blazor specialist — Server + WebAssembly + United (.NET 8+) render modes, streaming SSR, AI chat UI components, SignalR real-time, and Razor component architecture.

• performance-efficiency
• security

fai-capacity-planner

AI capacity planning specialist — GPU sizing, PTU allocation, token volume forecasting, cost modeling, scaling strategy, and FinOps for Azure AI workloads.

• cost-optimization
• performance-efficiency
• reliability

fai-collective-implementer

Multi-agent implementer — writes production code following TDD, implements features with Azure SDKs, generates Bicep infrastructure, and creates solution play components.

• reliability
• performance-efficiency
• security

fai-cost-optimizer

FinOps cost optimizer for AI workloads — model routing economics, semantic caching ROI, token budget design, PTU vs PAYG analysis, right-sizing recommendations, and Azure cost attribution.

• cost-optimization
• performance-efficiency

fai-csharp-expert

C#/.NET specialist — modern C# 12+/.NET 9, Azure SDK integration, Semantic Kernel, async/await patterns, Polly resilience, minimal APIs, and AI-native application development.

• security
• reliability
• performance-efficiency

fai-data-engineer

Data engineering specialist for AI — RAG ingestion pipelines, document chunking, ETL/ELT patterns, PII detection with Presidio, data quality scoring, and Azure Data Factory orchestration.

• reliability
• operational-excellence
• performance-efficiency

fai-docker-expert

Docker specialist — multi-stage builds, distroless images, GPU container support (CUDA/NVIDIA), ACR management, layer optimization, and container patterns for AI model serving.

• performance-efficiency
• security

fai-dotnet-maui-expert

.NET MAUI cross-platform specialist — iOS, Android, Windows, macOS from single C# codebase, on-device AI inference (ONNX), MVVM architecture, and mobile-first AI application patterns.

• performance-efficiency
• reliability

fai-dspy-expert

DSPy framework specialist — declarative LM programs, signature-based modules, optimizers (BootstrapFewShot, MIPRO), assertions, metric-driven prompt optimization, and compiled prompt pipelines.

• performance-efficiency
• cost-optimization
• reliability