Priya Nandakumar

Treat output quality as observable telemetry, not just successful API calls.

Orchestrate content production in the terminal with multi-model checks and voice enforcement.

Detecting which model wrote text reveals why single-model pipelines need independent quality checks.

AI-driven content generation exposes broken systems for managing, measuring, and retiring assets.

Separating editorial functions into discrete passes breaks the single-pass ceiling.

Test cases catch quality failures that single models cannot fix alone.

Vendor claims of 95% accuracy don't match real-world performance in independent testing.