Infrastructure and operations
Troubleshooting, observability, system behavior analysis, and practical improvements for environments that are already carrying real business load.
About Dangerous Metrics LLC
Built around consulting that is technical, practical, and grounded in real operating conditions.
Dangerous Metrics LLC is the consulting side of the work shown throughout this site. The focus is helping teams understand difficult systems, improve operational visibility, and adopt AI in ways that are useful, reviewable, and responsible.
Applied AI systems
LLM-assisted workflows, agent patterns, editorial systems, and operational tooling built with clear review steps and real accountability.
Technical strategy
Useful guidance for teams balancing legacy systems, limited budgets, and modernization work that cannot afford fantasy planning.
Background
The foundation here comes from long-term telecom and systems experience, including the kind of work that happens in imperfect environments with real constraints, incomplete information, and zero appetite for hand-waving. That background still shapes how projects are approached: start with what is actually happening, make the system legible, and improve it without pretending complexity can be wished away.
More than two decades in telecom and systems work across infrastructure, operations, troubleshooting, and service delivery.
Experience spanning noisy real-world environments where uptime, visibility, and practical judgment matter more than presentation.
A working style grounded in diagnosis, iteration, and making complex technical problems understandable enough to act on.
Working principles
Start with the actual operating environment, not a generic playbook.
Use AI where it improves throughput or clarity, but keep humans accountable for outcomes.
Prefer systems that can be explained, operated, and trusted after the project is over.
What clients usually need
Help making sense of operational data, system behavior, or recurring issues that have resisted easy explanation.
Guidance on where AI can fit into an existing workflow without creating more risk than value.
A technical partner who can move between infrastructure, observability, and product-facing experimentation.
How this site fits in
This site serves two purposes. It is a consulting front door, and it is also a working record of the kinds of systems, experiments, and technical thinking behind that work. The pages here are not meant to be a pile of disconnected demos. They are examples of how problems get approached, instrumented, and made more understandable.