AI-native course authoring
Thincker takes a course from syllabus to lesson notes to assessment, and tells you whether the result actually teaches what you meant it to — with a student learning experience built in from day one.
Thincker is currently invite-only. Request an invite.
A structured authoring workflow built for instructors, professors, and L&D teams.
Set title, level, audience, credits, and learning objectives. AI drafts a full syllabus you can edit.
One click produces a coherent module structure with dependencies, objectives, and estimated weeks.
Expand each module into lessons — lecture notes, discussion questions, resources, and assessments.
Invite collaborators and students, share a read-only outline or the full course, and track progress.
Most tools generate content and stop. Thincker is built to tell you whether what you made actually teaches — and whether a student who finished it understands anything.
Start from a topic, level, and audience, and get a coherent structure you can argue with — then edit every word of it.
Established cognitive-science practice is applied to what gets written, not bolted on afterwards as a checklist.
See the difference between what a lesson claims to develop and what it genuinely asks a student to do.
Find where your material and the way you measure it have quietly drifted apart, before your students do.
Ideas come back to a student while they can still be saved, rather than the week before an exam.
Pull citable academic work into your material, so what gets generated is anchored to something real.
Co-authors, reviewers, and proof-readers each get the access that fits their role, and you can see who has it.
Keep a course private, publish an outline, or open the whole thing. Students read it without needing a login.
AI Copilot
The Copilot sits beside your editor and understands the course, the active module, and the lesson you’re writing. Ask it to suggest readings, draft discussion questions, surface academic research, or review your learning objectives — without re-explaining your context every time.
Lesson selected
"Expand the case study section with a real-world example from healthcare"
Module selected
"Suggest 3 academic papers on algorithmic fairness for the resources list"
Course overview
"Am I missing any critical topics for an introductory data ethics course?"
Long-form books that carry the same structure as your courses — parts and chapters that know which concepts they cover, AI-assisted drafting that stays consistent across hundreds of pages, and a reading experience that adapts to what the reader has already understood.
Sign in to pick up your courses. New accounts are created by opening the invitation link sent to your email.
Sign inWe’re onboarding course designers deliberately, a few at a time, so we can work closely with each one. Tell us what you’re building and we’ll be in touch.