Reliability in production
Evals, guardrails and observability for AI systems that don't drift and don't break silently.
The difference between a demo and a production system is what you put around the model. I set up evaluations that measure quality before every release, guardrails that block drift, and observability to see what the agent is actually doing.
By the numbers
evals
every version measured before production
guardrails
drift blocked, not endured
observability
you see what the agent is doing
What I build
Evaluations (evals)
Test suites that measure the real quality of your answers, on every version, before it ships to production.
Evals · Regression testing · Quality
Guardrails
Filters, output validation, action limits: the agent stays in its lane, even when facing the unexpected.
Guardrails · Validation · Security
Observability
Traces, logs, alerts: you see what the system is doing in production and you're warned before it drifts.
Tracing · Monitoring · Alerting
The promise
AI that doesn't go off the rails.
Before, after
AI that hallucinates or drifts silently
Drift measured, blocked and traced
A black box in production
A system that's observed, alerted, under control
The stack
Evals
LangSmith
Traces
Guardrails
Observability
Logfire
Monitoring
Contact
Ready to build something that matters?
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