AI Consulting / LLM Observability
Building the instrumentation, evaluation loops, and debugging infrastructure that production LLM systems require to be trustworthy and operationally sound.
What's involved
Visibility into production AI.
Tracing & Logging
Instrumenting LLM applications so that every prompt, completion, tool call, and retrieval step is captured with the context needed to understand what happened and why.
Evaluation Frameworks
Building systematic evaluation: automated evals for factuality, faithfulness, task completion, and regression detection. Moving teams from 'it feels right' to 'here is the evidence'.
Hallucination Detection
Designing detection pipelines for factual errors, unsupported claims, and prompt injection. Understanding where and why a system hallucinates is the prerequisite for fixing it.
Cost & Latency Optimisation
Production AI systems require visibility into token costs, latency distributions, and failure rates. I help teams build the dashboards and alerting that make these systems operationally sound.
Approach
Observe first, optimise second.
A production AI system that cannot be observed is a system that cannot be trusted. Most teams discover this the hard way — when something goes wrong and there is no trace of what the model actually did.
LLM observability is a young field, but the fundamentals are not different from distributed systems observability: trace everything, evaluate systematically, and alert on regressions before users find them.
I built TraceLM specifically to address this problem — an LLM observability platform with time-travel debugging and human-in-the-loop review, providing SOC-2 compliant visibility into production AI systems.
The most common gap I see: teams that have excellent application monitoring but no LLM-specific instrumentation. Knowing that your API is up tells you nothing about whether your model is behaving correctly.
Work together
Need visibility into your LLM systems?
Whether you are building observability from scratch or improving an existing setup — I can help you design the instrumentation and evaluation frameworks that production AI demands.