Primitives

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-container-apps-expert

Azure Container Apps specialist — serverless containers, Dapr sidecars, KEDA autoscaling, GPU workload profiles, scale-to-zero, and AI agent hosting patterns with blue/green deployments.

• cost-optimization
• reliability
• operational-excellence

fai-azure-logic-apps-expert

Azure Logic Apps specialist — low-code workflow automation, 1400+ connectors, AI integration actions, Durable orchestration, B2B/EDI, and enterprise integration patterns.

• operational-excellence
• reliability
• cost-optimization

fai-azure-monitor-expert

Azure Monitor specialist — Application Insights for AI distributed tracing, KQL for token analytics, custom dashboards for groundedness/coherence metrics, cost alerting, and AI-specific observability patterns.

• operational-excellence
• cost-optimization
• reliability

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-fine-tuning-expert

Fine-tuning and MLOps specialist — LoRA/QLoRA techniques, JSONL training data preparation, Azure OpenAI fine-tuning workflow, hyperparameter tuning, evaluation-driven iteration, and model versioning.

• cost-optimization
• operational-excellence
• responsible-ai

fai-ml-engineer

ML engineering specialist — model training pipelines, LoRA/QLoRA fine-tuning, evaluation metrics, MLOps with Azure AI Foundry, model registry, and serving optimization for production AI.

• cost-optimization
• performance-efficiency
• operational-excellence

fai-play-13-builder

Fine-Tuning Workflow builder — Azure OpenAI fine-tuning, JSONL data preparation, LoRA/QLoRA techniques, MLflow experiment tracking, evaluation-driven iteration, and A/B deployment.

• operational-excellence
• cost-optimization
• responsible-ai

fai-play-17-builder

AI Observability builder — Application Insights distributed tracing, KQL query library for AI metrics, Azure Workbooks dashboards, alerting rules, and FinOps telemetry.

• operational-excellence
• cost-optimization
• reliability

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-dispatcher

FAI play dispatcher — routes user requests to the correct solution play based on intent classification, understands all 101 plays and their domains, delegates to specialist agents.

• cost-optimization
• operational-excellence

fai-power-platform-expert

Power Platform specialist — Power Apps (Canvas + Model-driven), Power Automate cloud flows, Dataverse, custom connectors, DLP policies, and Copilot Studio integration.

• operational-excellence
• cost-optimization

fai-product-manager

AI product management specialist — requirements gathering, AI use case prioritization, evaluation metric design, go-to-market strategy, and responsible AI impact assessment.

• responsible-ai
• cost-optimization
• operational-excellence

fai-production-patterns-expert

Production AI patterns expert — hosting selection (Container Apps/AKS/Functions), APIM gateway patterns, streaming SSE, retry/circuit-breaker, health checks, and multi-region deployment for production AI workloads.

• reliability
• performance-efficiency
• cost-optimization
• operational-excellence