Production-grade engineering playbooks for multi-agent observability, RAG quantitative evaluation, MCP server sandboxing, and sovereign vLLM serving.
Production deployment playbook: Serve open-weight LLMs on-premise using vLLM, FP8 quantization, and local hardware for 100% data sovereignty.
A comprehensive decision framework for founders and enterprise leaders to select the optimal AI models, vector stores, coding workspaces, and FinOps layers.
Explore our complete directory of peer-reviewed enterprise AI benchmarks, risk models, and compliance standards.
Production engineering playbook: Instrument multi-agent swarms with LangGraph tracing, OpenTelemetry metrics, and automated token budget circuit breakers.
Engineering playbook: Implement RAGAS quantitative evaluation gates, automated hallucination detection, and synthetic test suites in CI/CD pipelines.
Zero-trust security playbook: Sandbox Model Context Protocol (MCP) servers with gVisor, enforce OIDC authentication, and mitigate prompt injection.
Production deployment playbook: Serve open-weight LLMs on-premise using vLLM, FP8 quantization, and local hardware for 100% data sovereignty.
A comprehensive decision framework for founders and enterprise leaders to select the optimal AI models, vector stores, coding workspaces, and FinOps layers.