Primitives

fai-play-16-tuner

Copilot Teams Extension tuner — Graph scope minimization, knowledge source config, response tone calibration, Adaptive Card optimization, and permission tuning.

• security
• performance-efficiency

fai-play-18-builder

Prompt Optimization builder — prompt versioning with semantic versions, A/B testing framework, Azure Prompt Flow, template engine with variable injection, and evaluation-driven iteration.

• performance-efficiency
• cost-optimization
• reliability

fai-play-18-tuner

Prompt Optimization tuner — system message clarity, few-shot example selection, A/B test config, template variable defaults, and prompt cost-quality trade-off analysis.

• cost-optimization
• performance-efficiency

fai-play-19-builder

Edge AI builder — Phi-4 on-device inference, ONNX quantization (INT4/INT8), Azure IoT Hub fleet management, offline-first architecture, and cloud fallback patterns.

• reliability
• performance-efficiency
• cost-optimization

fai-play-19-tuner

Edge AI tuner — quantization level selection, on-device latency optimization, sync schedule config, cloud fallback thresholds, and per-device cost analysis.

• cost-optimization
• performance-efficiency

fai-play-20-builder

Real-Time Analytics builder — Event Hub partitioned ingestion, Stream Analytics windowing, LLM-powered anomaly explanation, multi-signal scoring, and live dashboards.

• performance-efficiency
• reliability

fai-play-20-tuner

Real-Time Analytics tuner — window size optimization, anomaly threshold calibration, baseline window selection, alert severity rules, and streaming cost analysis.

• cost-optimization
• performance-efficiency

fai-play-21-builder

Agentic RAG builder — autonomous retrieval agent, multi-source fusion (Search+web+DB), iterative query refinement, citation pipeline, and reflection-based quality gates.

• reliability
• performance-efficiency

fai-play-21-tuner

Agentic RAG tuner — iteration depth config, source weight optimization, reflection threshold calibration, citation requirements, and per-query cost analysis.

• cost-optimization
• performance-efficiency

fai-play-22-builder

Swarm Orchestration builder — mesh/star/hierarchical agent topologies, supervisor task decomposition, agent specialization, shared memory via Cosmos DB, and conflict resolution.

• reliability
• performance-efficiency
• security

fai-play-22-tuner

Swarm Orchestration tuner — topology selection, agent count optimization, consensus config, memory TTL calibration, and per-agent budget allocation.

• cost-optimization
• performance-efficiency

fai-play-23-tuner

Browser Agent tuner — screenshot resolution config, timeout calibration, retry strategy, domain allowlist management, and vision cost optimization.

• cost-optimization
• performance-efficiency

fai-postgresql-expert

PostgreSQL specialist — pgvector for embedding storage, HNSW/IVFFlat indexes, query optimization with EXPLAIN ANALYZE, connection pooling (PgBouncer), partitioning, and RAG vector store patterns.

• performance-efficiency
• reliability

fai-power-bi-expert

Power BI specialist — star schema data modeling, DAX formulas, report design, DirectQuery vs Import, AI-powered analytics with Azure OpenAI integration, and performance optimization.

• performance-efficiency
• cost-optimization

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

fai-protobuf-expert

Protocol Buffers specialist — proto3 schema design, backward compatible evolution, gRPC service definitions, code generation, and binary serialization for high-performance AI APIs.

• performance-efficiency
• operational-excellence

fai-python-expert

Python development specialist — Python 3.12+, async/await patterns, Pydantic v2, FastAPI, pytest, type hints, Azure SDK, and production-grade AI application patterns.

• security
• reliability
• performance-efficiency

fai-python-mcp-expert

Python MCP server specialist — FastMCP framework, @mcp.tool() decorators, async handlers, Pydantic input models, uv deployment, and Azure service integration for AI tools.

• security
• reliability
• performance-efficiency

fai-qwik-expert

Qwik framework specialist — resumability (zero hydration), lazy loading, QwikCity routing, Island architecture, and instant-on AI-powered web applications.

• performance-efficiency
• cost-optimization

fai-rag-architect

Enterprise RAG architecture specialist — designs end-to-end retrieval-augmented generation pipelines with Azure AI Search, OpenAI embeddings, chunking strategies, grounding, citation, evaluation, and production deployment.

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

fai-rag-expert

RAG expert — advanced retrieval patterns (agentic, graph, multi-modal RAG), chunking strategies, hybrid search, re-ranking, evaluation metrics, and production RAG optimization.

• reliability
• performance-efficiency
• cost-optimization

fai-ray-expert

Ray distributed computing specialist — Ray Serve for model serving, Ray Tune for hyperparameter optimization, Ray Data for preprocessing, and distributed training/inference at scale.

• performance-efficiency
• cost-optimization

fai-react-expert

React/Next.js specialist — React 19 Server Components, Suspense streaming for AI chat, App Router, Tailwind CSS, useActionState, and accessibility-first patterns.

• performance-efficiency
• security
• responsible-ai

fai-redis-expert

Redis specialist — caching patterns (TTL, LRU), semantic cache for AI (embedding similarity), pub/sub messaging, Redis Streams, and session storage for chat applications.

• performance-efficiency
• cost-optimization