Hallucinations & safety

How Spark keeps the AI on a short leash.

If students are going to learn from AI‑generated content, "close enough" is not good enough. Spark stays grounded in your actual lectures and raises its hand when it's unsure instead of bluffing.

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note_alt Study notes quiz Quizzes account_tree Chapters & slides forum Course tutor

note_alt Study notes that are double‑checked, not free‑styled

For each chapter, Spark goes through a two‑step process: first, draft notes based on your lecture; then, a separate check asks "Is this scientifically correct?" and "Does this really reflect what the teacher said?"

If the second pass isn't confident, Spark tries small corrections a few times. If it still can't resolve the issue, the note is clearly marked for review instead of being quietly shipped as perfect.

Maker-checker process diagram showing two-step study notes verification: draft generation followed by accuracy checking that either marks notes as verified or flags them for teacher review — Maker-checker process

Two-step verification: draft notes first, then a separate check for accuracy and alignment with your teaching.

Study notes review interface showing chapters with notes marked 'Verified' (green checkmark) and 'Needs review' (amber warning badge), demonstrating how Spark surfaces uncertain content instead of hiding it — Review interface

Notes that need attention are clearly marked - you see issues before students do.

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Two-pass system: generation first, then verification for accuracy and alignment.
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Automatic correction attempts before flagging - fixes what it can, surfaces what it can't.
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Broken formulas, strange characters, and unclear content get flagged for your review.

quiz Quizzes anchored in real chapters

Spark's quizzes are designed to be answerable from the material your students have actually seen. Each question is tied to one or more specific chapters, not to vague "topics in the air."

There are checks to make sure the correct answer matches the explanation and is actually supported by the relevant chapter. Questions that don't clearly belong anywhere, or that can't be fixed cleanly, are dropped rather than forced in.

Quiz generation and verification process diagram: Flow showing 'Generate question from chapter' → 'Verify answer supported by chapter' → 'Verify explanation matches answer' → either 'Accept question' (green checkmark) or 'Drop question' (red X) — Question verification

Every question is checked against its source chapter - answer and explanation must align with what you actually taught.

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Every question linked to specific chapters - students know what they're being tested on.
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Answer and explanation must match and be supported by the chapter content.
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Questions that can't be fixed are dropped - no forcing content that doesn't fit.

account_tree Chapters and slides that match what's actually on screen

Spark doesn't just trust the first guess about where chapters begin and end. It cross‑checks suggested boundaries against the real transcript, and if something looks out of order, it runs a dedicated fix‑up step instead of silently slicing the video in the wrong place.

The same spirit applies to slides and key frames: visual duplicates are detected and removed, and if Spark can't find any usable slides for a chapter, it surfaces that as a visible issue rather than pretending everything is fine.

Chapter editor interface showing a timeline with chapter boundaries, with one chapter marked 'Boundary adjusted – please review' (amber warning badge), demonstrating how Spark calls out issues instead of hiding them — Boundary verification

Spark cross-checks chapter boundaries and flags adjustments for your review - no silent errors.

Visual slide duplicate detection diagram: Side-by-side comparison of two similar slides with a 'Duplicate slide detected' overlay and one slide marked for removal, showing how Spark identifies and removes redundant slides — Slide duplicate detection

Duplicate slides are automatically detected and removed - students see unique, meaningful slides.

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Chapter boundaries cross-checked against transcripts - fixes applied automatically when needed.
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Visual duplicates detected and removed - no redundant slides cluttering the course.
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Missing slides flagged as issues - you see problems before students encounter them.

forum A tutor that knows its place

The course tutor is intentionally narrow‑minded: it answers from your course, not from the open internet. Every reply is based on notes and chapters that were indexed beforehand, and those same snippets are surfaced back to the student as gentle references.

If a question falls completely outside the course, the tutor is encouraged to say so and redirect the student, instead of inventing an answer just to be helpful.

Grounded tutor system diagram: Student question → 'Search course content only' (shield icon) → 'Surface relevant chapter/notes' (document icons) → 'Answer based on indexed content' (checkmark) OR 'Question outside course scope' → 'Redirect student' (arrow). Show the boundary between course content (in scope) and external web (out of scope) with a clear visual separation — Course-only answers

The tutor stays within your course universe - answers are grounded in what you actually taught.

Tutor conversation interface showing a student question, tutor response with 'Based on: Chapter 3 - Investment Strategies' reference links, and a separate response for an out-of-scope question saying 'This question is outside the course material' with a redirect suggestion — Source transparency

Every answer shows which chapters or notes it came from - students know where the information originated.

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Answers constrained to your indexed course content - no open web hallucination.
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Source chapters and notes surfaced with every answer - full transparency for students.
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Out-of-scope questions get honest redirects - no inventing answers to be helpful.