Rules aren't a curriculum. Give your syllabus one.
Start with a free AI-use statement for your course: what AI may do, what it may not, why, and how learning is checked without detectors. When you're ready, rebuild the whole syllabus step by step with an AI design partner. It follows best practices Chris Wasden has seen and developed over several years of AI-augmented teaching.
Built on 10 principles that align with MIT's 2026 recommendations on AI in teaching and learning. See how we align (including where we go beyond them). MIT has not reviewed or endorsed this product.
Free: AI-use statement generator
Guided syllabus rebuild
Upload or paste your syllabus. The AI drafts each section, you refine it in chat, then accept and move on. Your progress is saved.
- Course basics
- Upload or paste your syllabus (PDF, DOCX or text)
- Course file: sessions, support levels, concepts, assessments and points as structured data (nothing invented; gaps become questions for you)
- Learning goals
- Course-level AI-Use Map
- Assessment plan: retakeable mastery checks, oral defenses on students' own work (recorded for online or large sections), rubric caps, an honest AI-doable label on every assessment
- AI policy
- Student guide: how to use AI to learn
- Optional review and change log
- Export a concise syllabus to Word, with an estimate of your weekly grading time
$49 per syllabus (includes 30 days of revisions) · $29 for AI-Proof Pro subscribers · Department pack: 10 syllabi for $349
AI-Proof Course with Agents: add a bring-your-own-AI kit built from your finished syllabus. It works with any AI tool your students already use: a student kit (setup, per-session prompts with mentor personas and support levels, Socratic calibration, an AI audit log, a practice-quiz prompt) plus a separate instructor-only file (answer keys, full-credit specs, near-misses, grading guide). Answers never appear in the student kit. $79 with the syllabus · $39 to add it to a syllabus you already bought · $29 add-on for AI-Proof Pro subscribers.
Start a syllabus rebuild Want it done with you? Contact usThe 10 principles
- Skills build in order. Units follow prerequisite order and AI-off checks come after the skill is taught.
- Support that fades. AI support steps down across the term: Full → Shared → Light → Off.
- Clear limits on AI. Every assessment says what AI may not do, with a reason.
- Defined AI roles, human instructor. AI roles are named by function with limits; the instructor gives final feedback and grades.
- Student choice, with a low-AI path. Students choose how to use AI where it's allowed, and a low-AI pathway is always offered.
- Independent work counts most. Grade weight favors verified independent performance (defenses, portfolios, projects), not only timed exams.
- Human-only assessments. Each unit includes an assessment only the student can do: oral defense, portfolio conversation, live build.
- Peer and real-audience review. Structured peer review with a review-quality criterion.
- Visible AI process. Students attach an AI-use note or version history; missing notes cap the score; logging is disclosed.
- Questions back and mastery checks. Zero-point cold checks, retakeable mastery quizzes, and AI that asks questions back.
Every rebuilt syllabus is checked against these principles, checks drawn from the MIT report, and course-file checks (taught before tested, support that never increases, points that add up). The check refuses export on a problem it can name and tells you what to fix; it doesn't judge question quality. Nothing is invented: dates, points, sources and policies come from you or appear as [placeholders] and questions.