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Safe AI for students

Powerful AI for students,
without the worry.

Students get a capable study partner: explanations, practice questions, feedback, research help. You get the controls: a spend cap per classroom, an isolated key you can rotate on demand, and guardrails you configure for your deployment. Frontier-grade help, locked to your rules.

The classroom dilemma

Students will use AI anyway

Banning it just pushes students toward unmonitored consumer tools with no oversight and no guardrails.

Consumer AI is not built for a classroom

No spend control, no per-student isolation, no clean way to scope what it will and will not do.

Budgets are tight and unpredictable

A single shared account with an open tab is a budget incident waiting to happen.

Safety is non-negotiable

A tool that goes off-script in front of a minor is a headline, not a feature.

What you can build

Build the student-facing tools yourself. Qai gives you the model and the controls to keep them in bounds.

01

Guided study tutor

A subject tutor that explains concepts, walks through problems step by step, and adapts to the student, scoped by your system prompt to teach rather than to hand over answers.

Recommended: qai-pro for most subjects; qai-think for math and multi-step reasoning.
Architecture
Student question → your app prepends a strict teaching prompt (guide, do not solve) → Qai /v1/chat/completions → stream the explanation
node - a tutor that guides, not solves
const teachingPrompt = 'You are a patient tutor. Guide the student with hints and questions. Never give the final answer outright.';

const stream = await qai.chat.completions.create({
  model: 'qai-pro',
  messages: [
    { role: 'system', content: teachingPrompt },
    { role: 'user', content: studentQuestion },
  ],
  stream: true,
});
02

Practice & instant feedback

Generate practice questions at the right difficulty and give students immediate, constructive feedback on their answers, freeing instructors from rote marking.

Recommended: qai-pro.
Architecture
Topic + level → generate the question set → student answers → Qai /v1/chat/completions grades and explains → log progress
03

Research helper with citations

Let students ask questions of a curated, instructor-approved reading set. Answers stay grounded in the provided material, with sources cited.

Recommended: qai-pro; qai-think for synthesis across sources.
Architecture
Approved documents → retrieve the relevant chunks → Qai /v1/chat/completions instructed to answer only from context and cite → student sees the source
04

Accessible explanations

Reading-level adjustment, translation, and plain-language rewrites so the same material meets every student where they are.

Recommended: qai-pro; qai-flash for quick rewrites at volume.
Architecture
Source text + target (grade level or language) → Qai /v1/chat/completions → adapted text

Controls you actually get

Qai is an API, not a black box. These are the real primitives you build a safe deployment on, plus the guardrails you define in your own prompt and pipeline.

Per-class spend caps

Issue a key per classroom or cohort with its own daily budget. A runaway script or a curious student cannot blow the term budget - the key stops at its cap and nothing else is touched.

Isolated, revocable keys

Each deployment gets its own key. Rotate or revoke it per environment without touching anything else - no shared logins floating around the staff room.

Guardrails in your prompt

You own the system prompt. Scope the assistant to teach rather than solve, keep it on-subject, and set the tone - then pair it with your own moderation pass on input and output.

Usage you can see

Every call is metered per key in the dashboard, so you know exactly what is being used, by which class, and what it costs. No surprise invoice.

Models that fit the job

qai-hello-world

The free sandbox tier - pilot the whole flow with a class before you spend a cent.

qai-pro

The everyday tutor and grader across most subjects.

qai-think

Math, logic, and synthesis where the model needs to reason before it answers.

qai-flash

Quick rewrites, translations, and reading-level adjustments at volume.

Questions, answered.

Is this safe to put in front of students?
Qai gives you the controls; you build the safe deployment. Scope it with your system prompt, add a moderation pass, and cap each key budget. You decide what it can do - it is not a consumer chatbot with the lid off.
Will it just do the homework for them?
Only if you let it. The behaviour lives in your system prompt - instruct it to guide and explain rather than hand over answers, and it will. You set the teaching philosophy, not us.
Can we pilot it for free?
Yes. The qai-hello-world tier is free - 100 calls per key per day, no card - so you can build and test the whole flow before spending anything.
How do we control cost across many classes?
One key per class, each with its own daily budget. Watch the spend per key in the dashboard. A spike in one class never touches another class budget.

Give students AI you can stand behind.

Start on the free tier, scope it to your classroom, and add a budget when you roll it out. The controls come standard.