AI-Resistant Assignments

If a student can
paste it into ChatGPT,
it's not really an
assignment anymore.

Detection doesn't work. Policies don't work. The only reliable answer is assignment design: structure the work so a generic AI draft is either useless or instantly obvious. Every Kova tool is built that way from the ground up. For the assignments where students should use AI, see teaching students to work with AI.

Request a demo See how it fits
Why it works

Not detection.
Design.

A ChatGPT essay is generic because it responds to a generic prompt. Kova's tools give every student a prompt that's specific to their prior choices, their course's own material, or real-time feedback from an actual person — none of which a language model can fabricate in advance.

Why it can't be outsourced

The involvement
is the point.

Kova assignments resist AI not by detection, but because they demand the one thing a model can't fake in advance: a specific student, actively involved, in a specific moment.

Work that requires doing
Students make real-time, building decisions — a generic AI draft has nothing to respond to. The active involvement can't be pasted in.
Specific to each student
Every prompt is personalized to the student's own choices and interests — there's no generic version for a model to fabricate ahead of time.
Grounded in the live room
Live sessions respond to what students actually chose and said in class — impossible to complete beforehand, off to the side.
Tool by tool

Six tools,
none of them fakeable.

What makes each one structurally resistant to a pasted-in AI draft.

Simulations
Each simulation stage responds to what the student chose in the one before it. There is no single prompt to paste into ChatGPT — there's a branching path only they've walked, producing context no AI generated in advance.
Explore Simulations
Debate & Deliberation
An AI opponent takes the opposite side of whatever argument a student makes - and adapts to each response in real time. There’s no static output to fabricate because the debate doesn’t exist until the student is in it.
Explore Debates in Conjure
Peer Review
Prompts grounded in your course’s specific companies, numbers and characters are too narrow for a generic AI response to pass. Then peer review and revision need real feedback from real people - which no AI can provide in advance.
Explore Peer Review in Conjure
Live Checks in Conjure Live
Live, in class, on a slide in Lens. Nothing to outsource.
Explore Conjure Live
Custom Simulations
The more course-specific the simulation, the harder it is to fake. A bespoke sim built around your program's own case, data, or organization produces prompts that generic AI has never seen.
Explore Custom Simulations
Lens
Live, in-class participation that responds to what students actually do in the moment — impossible to complete ahead of time or paste in from a model.
Explore Lens
Before & after

The same assignment,
redesigned.

Same learning goal — restructured so pasting into ChatGPT doesn't work.

Discussion Post → Debate
From static prompt to live debate
A discussion board post takes ChatGPT about 45 seconds. A debate built by Conjure adapts to every argument the student makes.
"Instead of 'Post a 200-word response to this week's reading': argue a specific position with an AI opponent that challenges every point you make, in real time."
Case Write-Up → Simulation Stage
From analysis to lived decision
A case analysis prompt produces a textbook-perfect, personality-free summary in seconds.
"Instead of 'Analyze NovaPay's capital structure decision': make the decision yourself, then defend it to the board in the next simulation stage — which only unlocks after you commit."
Reflection Essay → Author Reflection
From invented feelings to real feedback
AI can write a 'reflection' on an experience the student never had.
"Instead of 'Write a 500-word reflection on what you learned': respond specifically to the peer review you just received — feedback that didn't exist until a classmate wrote it."
Term Paper → Peer Review Round
From one big draft to four checkpoints
A single long essay is the easiest thing for AI to draft start-to-finish.
"Instead of one submission: a prompt too specific to fake → draft → peer review → revision. Four checkpoints. One of them requires another human."
See the assignment
ChatGPT can't finish.

Tell us an assignment you're worried about — we'll show you the Kova equivalent.

Request a demo See Peer Review in Conjure