Give every student a conversation partner for any scenario
Help students learn, practice and get tested — through real conversation with an AI that takes any role you define.
1 · Introducing new material
Let students meet the concept, not just read about it
When you're introducing something students haven't seen before, Prisma gives them someone to talk to about it — a character built around exactly the concept or period you're teaching, who explains, questions, and adapts to what they don't yet understand.
Create the agent
Give the agent a role tied to the material — a historical figure, a scientist, a professional — and instructions on what to teach, hold back, or explain if asked. A cell membrane “interviewed” about what it lets in and out, or a delegate at the 1919 peace talks defending a position — the agent stays in character while the concept does the teaching.
The conversation
The student asks questions to make sense of the idea, and the agent answers, clarifies, and occasionally checks understanding with a question of its own — closer to office hours than a worksheet.
The feedback
At the end of the session, the AI writes the student a short, individual note on how well they grasped the concept — what they understood clearly, and what's still fuzzy.
The analysis
You define what “understanding” looks like as variables — whether the student correctly restated the core idea, how many clarifying questions they needed, which misconception came up — and Prisma codes it for every student automatically.
2 · Practicing a skill
Give students reps in situations you can't run for thirty people at once
Interviews, negotiations, difficult conversations, a new language — these skills need repetition under real pressure. Prisma runs that practice one-on-one, for every student, at the same time.
Create the agent
Build a character who pushes back the way a real interviewer, examiner, or conversation partner would — skeptical, in a hurry, or simply speaking only the target language.
The conversation
The agent challenges the student's answers, asks follow-ups, and reacts to what they actually say — not a fixed script, so no two students get the identical exchange.
The feedback
The AI points to specific moments — a persuasive answer, a missed opening, a grammar slip corrected mid-sentence — and suggests what to try differently next time.
The analysis
Define the skill as measurable variables: whether the student used a specific technique, how many self-corrections they made, whether their answers grew shorter or more confident across turns.
3 · Getting ready for a test
Let students find their gaps before the exam does
Before a test, students need to know what they don't know yet. Prisma runs an oral-style review that adapts to each student's answers, then hands you a map of where the class is still shaky.
Create the agent
Set the agent up as an examiner covering exactly the material on the test, with instructions to probe deeper wherever an answer is vague or incomplete.
The conversation
The agent works through the material question by question, following up when a student hesitates or gets something half-right, the way an oral exam would.
The feedback
Each student gets a plain-language summary of what they answered correctly, what needs another look, and which topics to revisit before the real test.
The analysis
Score answers by topic as variables — accuracy, response time, topics flagged for review — so you can see, across the whole class, exactly where to spend tomorrow's lesson.
Try Prisma for free
One simulation, no credit card, no setup. See for yourself before choosing a plan.