Primitives

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-azure-storage-expert

Azure Storage specialist — Blob lifecycle tiers, ADLS Gen2 for data lakes, private endpoints, managed identity auth, and document/model artifact storage for AI pipelines.

• security
• cost-optimization
• reliability

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-cicd-pipeline-expert

CI/CD pipeline specialist — GitHub Actions with OIDC, multi-stage deployments, AI quality gates (eval.py), security scanning, and DORA metrics for AI application delivery.

• operational-excellence
• reliability
• security

fai-code-reviewer

Code review specialist — SOLID principles, clean code, OWASP security checks, AI-specific prompt injection auditing, and performance anti-pattern detection across TypeScript, Python, C#, and Bicep.

• reliability
• security
• operational-excellence

fai-collective-debugger

Multi-agent debugging specialist — systematic root cause analysis, stack trace interpretation, Azure diagnostics, LLM-specific issue debugging, and performance profiling for AI pipelines.

• reliability
• operational-excellence

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-collective-orchestrator

Multi-agent orchestrator — routes tasks to specialist agents, manages turn limits, decomposes complex requests, synthesizes results, and ensures quality gates across the FAI Collective.

• reliability
• cost-optimization
• operational-excellence

fai-collective-researcher

Multi-agent researcher — gathers information from knowledge bases, codebase search, documentation analysis, and web research to ground specialist agents with verified facts.

• reliability
• responsible-ai

fai-collective-reviewer

Multi-agent reviewer — security audit, OWASP LLM Top 10, WAF compliance, code quality, AI safety checks, and PR review with severity-classified feedback.

• security
• responsible-ai
• reliability

fai-collective-tester

Multi-agent tester — generates unit/integration/E2E tests, AI evaluation pipelines, mutation testing, and quality assurance for AI outputs with deterministic seed-based testing.

• reliability
• operational-excellence

fai-compliance-expert

AI compliance specialist — EU AI Act risk classification, NIST AI RMF, GDPR data subject rights, HIPAA PHI handling, SOC 2 evidence collection, and Azure compliance tooling.

• responsible-ai
• security
• operational-excellence

fai-content-safety-expert

Content safety specialist — Azure AI Content Safety API, 4 harm categories with severity scoring, Prompt Shields for jailbreak defense, groundedness detection, PII redaction, and moderation pipeline design.

• responsible-ai
• security

fai-copilot-ecosystem-expert

Microsoft Copilot ecosystem expert — M365 Copilot declarative agents, Copilot Studio, GitHub Copilot agent mode, Graph connectors, Adaptive Cards, and cross-platform agent extensibility.

• operational-excellence
• 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-crewai-expert

CrewAI multi-agent framework specialist — crew composition, role-based agents with backstory, task delegation with expected output, sequential/hierarchical processes, and custom tool integration.

• reliability
• operational-excellence

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-dapr-expert

Dapr distributed application runtime specialist — service invocation, state management, pub/sub messaging, bindings, secrets management, and sidecar-based AI microservice patterns.

• reliability
• operational-excellence
• security

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-devops-expert

DevOps lifecycle specialist — GitHub Actions OIDC, Infrastructure as Code (Bicep/Terraform), deployment strategies (blue-green/canary), SRE practices, DORA metrics, and incident management for AI systems.

• operational-excellence
• reliability
• security

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