Applied AI · Production-minded
AI features with guardrails
Provider-aware AI workflows designed around structured outputs, quality evaluation, spend controls, and transparent failure states.
Practice demonstrated in private product work
The challenge
Why the work mattered
Move beyond impressive prototypes toward features that remain understandable, testable, and financially responsible in production.
My contribution
From direction to delivery
Established output contracts, provider protections, usage telemetry, evaluation boundaries, fallback behavior, and workflow-level validation.
What exists
Reliability around the model
The surrounding system makes provider choice, paid-call approval, token and cost telemetry, structured contracts, evaluations, failure states, and human review visible instead of treating model output as automatically trustworthy.