LLM workflow design
Agent pipelines, editorial automation, retrieval patterns, and human-in-the-loop systems designed to solve real operational problems.
Dangerous Metrics LLC
I help teams untangle difficult infrastructure, operational noise, and new LLM-driven workflows. The background is three decades of telecom and systems work. The current emphasis is practical AI projects that are useful, reviewable, and grounded in reality.
Part consulting front door, part proof of work. It shows what has been built here without making visitors wander through every experiment at once.
AI is part of the toolkit here, but not an excuse to skip review, traceability, or operational judgment. The goal is better systems, not louder claims.
Agent pipelines, editorial automation, retrieval patterns, and human-in-the-loop systems designed to solve real operational problems.
The kind of troubleshooting that starts with a vague symptom and ends with packet traces, logs, and a believable root cause.
Useful for teams with legacy infrastructure, limited budgets, and constraints that do not fit neatly into vendor narratives.
A small slice of the older metrics system now lives on the front page. Enough to show the site is active and instrumented, without turning the landing page back into a dashboard.
4,008 requests observed over the last 24 hours
2xx and 3xx responses across the current 24-hour window
68 error responses in the last 24 hours
Most active probing IP logged 1,516 suspicious hits recently
This is the curated version of the lab. These examples show the kinds of systems, interfaces, and AI-assisted workflows already living in the codebase without dragging every side project onto the front page.
A working view into agent orchestration, state, and sessions. It shows the machinery instead of hiding it.
A structured publishing workflow that treats AI as a tool in a process, not as a substitute for judgment.
Documentation built to explain complex systems clearly enough to be useful when stakes are high and time is short.
Observed traffic, status behavior, and probing patterns pulled directly from the current log pipeline.
The site-wide context and the thinking behind the experiments.
Longer posts, notes, and technical writeups pulled from the existing blog system.
A more candid explanation of where this site came from and why it looks the way it does now.
Active oddities and newer public-facing experiment output currently live at Bare Metal Bridge.
For a long time it felt like the workshop was closed. Not literally, of course. The tools were still there. Computers were faster than ever, the internet was e
Read postHow It Started A while back I spun up three comedy bots and told them they were inside a simulation and to figure out what it was. They didn't have much to wo
Read postMoved most of the database calls to lib instead of api's. This broke some production pages. Fixed and pushed to production.