FAI Agents
Autonomous AI personas with WAF alignment and play compatibility. Search the catalog, inspect evidence and token size, compare Full and Lean variants, then copy, download, or install from the same bounded record.
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Evidence catalog
Find the right agent for the job.
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285,657 Full tokens · switch to Lean for exact per-card and filtered-view receipts
238/238 gatedLean ModeAgent-to-Agent (A2A) protocol specialist — Google's agent interop standard, AgentCard discovery, task lifecycle, streaming artifacts, push notifications, and multi-agent communication patterns.
Accessibility specialist — WCAG 2.2 AA/AAA compliance, ARIA 1.2 patterns, screen reader optimization, keyboard navigation, focus management, and inclusive design for AI chatbots and dashboards.
ADR writer — documents architecture decisions with MADR 3.0 template, context, alternatives, trade-off matrices, consequences, and WAF pillar impact analysis.
AG-UI protocol specialist — Agent-User Interaction standard, event-based rendering, streaming state updates, tool call lifecycle, and frontend integration for AI agent experiences.
Agentic retrieval specialist — autonomous source selection, iterative refinement with relevance scoring, multi-hop reasoning, query decomposition, and grounded answer synthesis with inline citations.
AI agents expert — ReAct loops, tool orchestration, memory tiers, multi-agent topologies (supervisor/pipeline/debate/swarm), agent determinism, and production guardrails for autonomous AI systems.
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.
Angular 19+ specialist — signals-based reactivity, standalone components, SSR with hydration, zoneless change detection, control flow syntax, and AI chat component patterns.
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.
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.
Microsoft AutoGen multi-agent framework — ConversableAgent, GroupChat topologies, code execution sandboxing, nested chat orchestration, human-in-the-loop patterns, and AG2 migration.
Azure AI Foundry specialist — Hub/Project resource model, Model Catalog deployment, Prompt Flow orchestration, evaluation pipelines with groundedness and safety metrics, fine-tuning workflows, and model lifecycle management across dev/staging/prod environments.
Azure AI Search specialist — HNSW vector indexes, hybrid keyword+vector retrieval, semantic ranker, integrated vectorization pipelines, custom skillsets, scoring profiles, and RAG optimization for production search experiences.
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.
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.
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.
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.
Azure Cosmos DB specialist — partition key design, DiskANN vector search, multi-region writes, RU optimization, change feed processing, and conversation/session storage for AI agents.
Azure DevOps specialist — YAML multi-stage pipelines, environment protection rules, artifact feeds, workload identity federation, and AI-specific deployment quality gates.
Azure Event Hubs specialist — partitioned event streaming, Kafka compatibility, Schema Registry governance, real-time AI inference pipelines, and high-throughput data ingestion.
Azure Functions specialist — event-driven AI processing, Durable Functions for long-running agent orchestration, timer triggers for batch inference, and cold start optimization.
Azure identity and access management specialist — Entra ID, Managed Identity, DefaultAzureCredential, workload identity federation, RBAC, Conditional Access, and zero-trust architecture for AI services.
Azure Key Vault specialist — secrets rotation, CMK encryption, certificate lifecycle, HSM-backed keys, Managed Identity integration, and zero-secret deployment patterns for AI workloads.
Azure Logic Apps specialist — low-code workflow automation, 1400+ connectors, AI integration actions, Durable orchestration, B2B/EDI, and enterprise integration patterns.
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.
Azure networking specialist — hub-spoke VNet design, Private Link for AI services, NSGs, Azure Firewall, DNS private zones, and zero-trust network architecture.
Azure OpenAI specialist — model deployment types (PTU/PAYG/Global), content filtering, structured output, token optimization, multi-region load balancing, and production inference patterns.
Azure Policy specialist — built-in/custom policy definitions, AI governance initiatives, compliance scanning, remediation tasks, and policy-as-code deployment patterns.
Azure Service Bus specialist — queues, topics/subscriptions, dead-letter handling, session-based ordered messaging, saga patterns, and agent-to-agent communication for AI workflows.
Azure SQL specialist — Hyperscale, serverless auto-pause, native vector search, geo-replication, intelligent performance tuning, and AI integration patterns with embeddings storage.
Azure Storage specialist — Blob lifecycle tiers, ADLS Gen2 for data lakes, private endpoints, managed identity auth, and document/model artifact storage for AI pipelines.
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.
Blazor specialist — Server + WebAssembly + United (.NET 8+) render modes, streaming SSR, AI chat UI components, SignalR real-time, and Razor component architecture.
Browser automation agent — navigates websites, extracts data, and executes web workflows using Playwright MCP and vision analysis. Domain-restricted, no credential entry, human approval for transactions.
Bun runtime specialist — ultra-fast JavaScript/TypeScript, built-in bundler, native SQLite, test runner, and HTTP server patterns for AI APIs and MCP servers.
AI capacity planning specialist — GPU sizing, PTU allocation, token volume forecasting, cost modeling, scaling strategy, and FinOps for Azure AI workloads.
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.
Cloudflare specialist — Workers AI for edge inference, Workers KV, D1 database, R2 storage, AI Gateway, and CDN optimization for AI application delivery.
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.
Multi-agent debugging specialist — systematic root cause analysis, stack trace interpretation, Azure diagnostics, LLM-specific issue debugging, and performance profiling for AI pipelines.
Multi-agent implementer — writes production code following TDD, implements features with Azure SDKs, generates Bicep infrastructure, and creates solution play components.
Multi-agent orchestrator — routes tasks to specialist agents, manages turn limits, decomposes complex requests, synthesizes results, and ensures quality gates across the FAI Collective.
Multi-agent researcher — gathers information from knowledge bases, codebase search, documentation analysis, and web research to ground specialist agents with verified facts.
Multi-agent reviewer — security audit, OWASP LLM Top 10, WAF compliance, code quality, AI safety checks, and PR review with severity-classified feedback.
Multi-agent tester — generates unit/integration/E2E tests, AI evaluation pipelines, mutation testing, and quality assurance for AI outputs with deterministic seed-based testing.
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.
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.
Microsoft Copilot ecosystem expert — M365 Copilot declarative agents, Copilot Studio, GitHub Copilot agent mode, Graph connectors, Adaptive Cards, and cross-platform agent extensibility.
AI cost gateway specialist — APIM-based AI gateway with semantic caching, model routing by complexity, token budget enforcement, multi-region PTU load balancing, and FinOps telemetry.
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.