Reference Context: make AI answers match your syllabus, not the internet
A general AI gives general answers. Feed it your own course material and it answers the way your exam expects. Here's how to use Reference Context well.
Certification exams have their own vocabulary and their own way of framing trade-offs. A general-purpose model doesn't know your blueprint unless you tell it. That's what Reference Context does.
How it works
Point a persona at a folder of your own notes and study guides. Auto-Snapper AI reads them and treats them as authoritative on every capture, so answers are grounded in your material instead of the model's best guess.
- Supported formats: .md, .txt, .json, .xml (convert PDFs to text or Markdown first).
- Edit your notes anytime, then click Re-ingest to refresh.
- Built-in prompt caching means you don't pay full price to re-send your notes on every capture.
Curate, don't dump
More material isn't automatically better. The tighter and more relevant your reference set, the sharper and cheaper your answers. Keep it to what's actually testable.
The single biggest lever on answer quality is the notes you feed it. Curate your reference material like you're building the exam's answer key.
The Auto-Snapper AI Team
Pair Reference Context with a subject persona and your explanations start to sound like your instructor, because they're built from your course.
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