operator terminal / consulting

Production AI.

Systems that survive contact with reality.

I help teams turn agent demos into production systems. Fewer moving parts. Clear failure modes. Systems that keep working under load.

→ Agent architecture
→ Eval loops
→ Reliability systems
→ Failure design

[ Talk about your system ] mxcl@me.com

What I fix

Ship reliable agents

turn prototypes into production systems
remove hidden failure paths
reduce agent complexity

Stop regressions

evals that actually catch failures
release gates that matter
reproducible behavior

[ See eval approach ]

Stabilize systems under load

fallback design
tool routing boundaries
observability that explains behavior

[ See system design ]

A typical system I work on

[Input]
   ↓
[Router] → [Tools]
   ↓         ↓
[Eval]   [Fallbacks]
   ↓
[Output]

Most systems fail here:

unclear routing
no eval loop
silent failures
no fallback strategy

This is what I fix.

How I work

Understand the system.
Identify failure modes.
Reduce complexity.
Add evals and boundaries.
Ship with discipline.