AI-Native Media Operations — FAQ
Answers to common questions about AI-Native Media Operations: who it's for, access, refunds, team use, and how it differs from free AI content.
The questions senior operators ask before they commit — beyond the ones on the sales page.
Is this a technical course?
No. This is an operating model course for leaders. You won't write code — you'll learn what to build, what to buy, and what to protect. The technical details (RAG, APIs, multi-agent architectures) are explained at a strategic level.
How long do I have access?
As long as the course is available. Once you purchase, you can re-watch any module, download any template, and access updates at no additional cost.
What if it's not for me?
14-day money-back guarantee, no questions asked. If the operating model doesn't apply to your work, email contact@chandlernguyen.com for a full refund.
Can I share this with my team?
Each purchase is for individual use. If you're interested in team access, email contact@chandlernguyen.com and we'll work something out.
Is this specific to a particular market or vertical?
The frameworks are designed to be localized. Module 1 covers the 11 strategic frameworks and shows how to adapt them to your vertical, market, and team size.
What makes this different from free AI content?
Specificity. This isn't "10 ways to use ChatGPT." It's a complete operating model — research through reporting — built from real media spend at scale and shipping AI products to production. Every framework has been tested.
What if I have questions after the course?
Email contact@chandlernguyen.com. I read every email and respond personally.
Will the course be updated?
AI in media operations evolves fast. Every quarter, I publish an update covering what changed in the landscape, which frameworks held up, and which need revision. Course buyers get these at no additional cost.
What is an AI-native media operating model?
It is the set of workflows, roles, and decision rules a team runs on when AI handles most of the execution — research, planning, activation, reporting, and measurement. It is not a prompt library; the model decides what to automate, what stays human, and who is accountable for the output.
How much of the media workflow can AI realistically handle today?
Roughly 75–80% of the campaign lifecycle, based on operating the model directly: research, production, and assembly. The remaining 20–25% is judgment — positioning, brand decisions, and validating output. The course is explicit about which is which.
Which module should an agency owner start with?
Module 1 for the operating model, then Module 6 for the greenfield thought exercise — what the agency looks like with no legacy workflows. The Agency Blueprint Canvas connects the two into something you can act on.
What does the 90-day rollout require of my team?
One owner, time budgeted for two pilots, and the discipline to change one process at a time. The rollout is People, Product, Process — audit, pilot, scale — with decision gates instead of a big-bang launch.