Attribution

Human-directed, AI-assisted product authorship

QC+AI Studio is a human-directed, AI-assisted learning platform built and significantly enhanced using OpenAI Codex.

Ownership

Nay Linn Aung retains product ownership, domain direction, acceptance decisions, and final submission responsibility for QC+AI Studio.

Recommended public statement

QC+AI Studio is a full-stack QC+AI learning platform built and significantly enhanced using OpenAI Codex, with product ownership, domain direction, and final review led by Nay Linn Aung (na27@hood.edu).

Contact

Attribution questions can be directed to na27@hood.edu.

Human responsibilities

What remained human-led

Selecting the QC+AI problem framing and the curated corpus.
Deciding which claims were strong enough for the public site.
Rejecting wording that overstated maturity, deployment readiness, or source certainty.

Review bar

How AI-assisted output was evaluated

Attribution is not just about naming the tool. It is about explaining the review process that stands between generated output and a public claim.

Practice

Scope, architecture, and final acceptance decisions remained human-directed.

Practice

Generated code and copy were reviewed against live behavior, tests, and deployment reality before publication.

Practice

Where the live product is environment-gated, the public pages now disclose that state instead of implying unavailable capabilities.

About the platform Modules and prerequisites