Primitives

fai-azure-data-explorer

Configure Azure Data Explorer for real-time telemetry ingestion with KQL queries, time-series aggregations, and interactive dashboards — analyzing AI workload metrics and traces at petabyte scale.

fai-azure-event-grid-setup

Configure Azure Event Grid for event-driven AI pipelines with topic subscriptions, dead-letter queues, retry policies, and role-based filtering — routing document uploads to embeddings to RAG queries without polling.

fai-azure-event-hubs-setup

Configure Azure Event Hubs for real-time data ingestion with stream processing, auto-scaling, Managed Identity auth, and consumer groups — enabling AI workload telemetry at millions of events/second.

fai-azure-functions-setup

Scaffold Azure Functions apps with HTTP/Event Hub/Service Bus triggers, input/output bindings, Managed Identity, Application Insights, and local development setup — enabling serverless AI microservices in minutes.

fai-azure-key-vault-setup

Configure Azure Key Vault with managed identities, RBAC, secret rotation policies, customer-managed keys (CMK), and app integration patterns — avoiding hardcoded secrets and enabling compliant AI workload credential management.

fai-azure-openai-integration

Deploy Azure OpenAI with model selection, PTU vs PAYG pricing tiers, content safety filters, token management strategies, and streaming patterns — maximizing cost efficiency and compliance for AI applications.

fai-azure-openai-setup

Set up Azure OpenAI Service with model deployments, RBAC, content filtering, and monitoring.

fai-azure-resource-graph

Query Azure Resource Graph across subscriptions with KQL for compliance audits, cost analysis, RBAC reviews, and cross-tenant resource discovery — enabling unified visibility into sprawling AI infrastructure.

fai-azure-resource-health

Diagnose Azure resource health issues via Resource Health events, platform metrics, activity logs, and one-click remediation workflows — preventing cascading AI infrastructure failures.

fai-azure-resource-visualizer

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fai-azure-role-selector

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fai-azure-service-bus-setup

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fai-azure-sql-setup

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fai-azure-static-web-apps-setup

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fai-azure-storage-patterns

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fai-backup-restore-ai

Set up backup and restore procedures for AI application data, model configs, and index state.

fai-basic-prompt-optimization

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fai-bicep-module-create

Create a reusable Bicep module with typed parameters, conditions, outputs, and AVM alignment.

fai-bicep-module-scaffold

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fai-boost-prompt

Analyze and refine prompts with specificity scoring, few-shot examples, and constraint encoding — improving accuracy by 20-40% and reducing token spend by 15-25% for RAG and classification tasks.

fai-build-agentic-loops

Build autonomous agent loops with ReAct pattern, tool calling, reflection cycles, and termination conditions — enabling multi-turn reasoning without callback hell or token explosion.

fai-build-bicep-module

Create reusable Bicep modules following AVM patterns with typed parameters, outputs, deployment tests, and registry publishing — standardizing infrastructure across 100+ solution plays.

fai-build-data-lakehouse

No description.

fai-build-docker-image

Build optimized Docker images with multi-stage builds, non-root runtime, health checks, and AI model weight caching — reducing deployment time by 60% and image size by 40%.