How We Work
Chaos-friendly innovation meets disciplined engineering.
The Philosophy
AI development is chaotic by nature. Models hallucinate, prompts drift, and what works today might break tomorrow. Most teams fight this chaos.
I embrace it.
By accepting that AI is unpredictable, I build systems that expect failure and recover gracefully. Tests, evals, and guardrails aren't optional—they're the foundation. The result: software that moves fast without breaking things.
How It Works
Scope + Success Metrics
We define the workflow, success metrics, and kill criteria together.
Daily Demo Loop
Short iteration cycles with daily demos. You see progress, I get feedback.
Tests, Evals, Tracing
Every change is tested. Evaluations run in CI. Cost budgets are enforced.
Deploy + Handover
Production deployment, documentation, and a runbook you can actually use.
Core Principles
The non-negotiables that guide every engagement.
Iteration Over Perfection
Ship early, learn fast. Every day ends with working software you can see.
Direct Communication
You talk to the builder, always. No account managers, no telephone games.
Measurable Quality
If it's not tested, it doesn't exist. Evals, metrics, and gates for everything.
Knowledge Transfer
You own everything: code, docs, runbooks. No lock-in, no secrets.
Let's Build Something
20 minutes to understand your workflow and see if we're a fit.