Adopting a course
From request to first class in five steps. Nothing to install; nothing to host.
Step 1 — Request a preview
Tell us which course (or that you're exploring) via the preview form. You'll hear back within a few days.
Step 2 — Try it
We provision a sandbox: a demo course on the live studio with a code for you. Work a lab or two as a student — meet the Coach, and try to catch it. If anything misbehaves along the way, support@marketingintheaiera.ai reaches us.
Step 3 — Adopt
Adopt the format you want — the course bundle comes in digital or paperback, and both include full AI studio access. You order it through your campus bookstore by the matching ISBN on the course page; we supply the access codes (and, for the paperback, the printed books) to the bookstore, create your course instance, and send your complete instructor kit — the Instructor Companion, PowerPoint lecture slides and recorded lecture screencasts, a sample syllabus, quizzes, grading rubrics with grader anchors, the planted-trap index, a graded capstone exemplar, and the one-page-a-week runbook.
Step 4 — Books
Students buy or are provided the course bundle in the format you adopt — digital or paperback. Either one includes full AI studio access.
Step 5 — Teach
The platform keeps the record; you teach and grade judgment. Most weeks, the runbook is one page.
FAQ
Are supporting instructor resources available?
Yes — every adopted course comes with a complete instructor kit: a full Instructor Companion (a teaching guide, written for professors with no AI background, with worked lab sessions from both the student's and the instructor's side); PowerPoint lecture slides for every week; recorded, narrated screencasts of the lectures, to assign as pre-class viewing or play in class; an adaptable sample syllabus; chapter quizzes and a midterm; grading rubrics with grader anchors and the planted-trap index; and a graded capstone exemplar. You also get the instructor dashboard, which drafts a first-pass grade for every submission that you review and release under your own name. No AI expertise is required to teach with any of it.
Can I see it before adopting?
Yes — that's the whole point of the preview. The sandbox is the real platform with a demo course.
Do I need technical staff or an IT ticket?
No. The studios are hosted; students need a browser and a registration code.
Can I adapt the syllabus?
Yes — including for compressed terms. Materials-release controls support several teaching postures, from the full runbook to everything-up-front, and the instructor kit includes adaptation notes.
Does it work for online sections?
Yes. The studios are hosted and browser-based, so a course runs the same face-to-face, hybrid, or fully online — nothing changes but where you meet. Materials release on your schedule in every format.
Can I run this alongside my current textbook?
Yes. Keep your standard text and your syllabus; the course adds the AI dimension — students work the studio's labs with the scripted Coach, on your release schedule. Students still need this course's book — the briefs, the review questions, and the Coach's world are calibrated to it — but it rides alongside your text as the lab companion, not a replacement.
What do students pay?
The course bundle — one all-in price covering the textbook, full-semester studio access, and each student's AI allowance. No separate AI subscription or platform fee.
How is academic integrity handled?
Differently than you're used to, and better: the transcript is the graded work. How a student briefed, verified, and caught the Coach's plants is visible on an append-only record — outsourcing the judgment defeats itself in the artifact that's actually graded.
What stays instructor-only?
The planted-trap indexes, grader anchors, and kit materials. They are provided directly to verified adopters and never published — which is also why course pages here describe the traps' existence, never their contents.
Which course should we start with?
If your program is building from zero, the Introduction — it's a complete first course and previews all four specialties. If you're adding AI-era practice to an existing program, any advanced course stands alone.