The quiz flow also preserves traceability by letting learners jump back to the relevant source page through the "Don't know" path.
What was measured
Traceability & Transparency
How clearly the tool links generated notes back to the original source so users can verify the summary.
context, not decisivetransformation
Source linking and transparency are important for checking notes against the PDF, but a weaker result does not by itself mean the tool fails to generate revision notes. (2 of 3 judges)
What was given, what came back
Test input: Long academic chapter PDF for exam-ready notes · pdf
Input — what we sent
Input not captured
This run recorded no prompt or input file for the test, so we cannot show you what produced the result below. Capture gaps are tracked, not hidden.
A long academic chapter PDF used to test whether tools can turn dense study material into structured, exam-ready revision notes with source traceability and active recall support.
Why this input is hard
- · Long-document PDF processing
- · Structured summarization into bullets/tables/sections
- · Preserving academic clarity and key concepts
- · Generating flashcards and quiz questions
- · Source verification and jump-to-source traceability
- · Revision-friendly formatting and workflow support
Output — unretouched
Also checked on this input — same tool, 8 other criteria
Active Recall Support✓ WorkedThe quiz mode supports MCQs with hints, a "Don't know" option, and navigation back to the source PDF for revision reinforcement.Active Recall Support◐ MixedQuiz generation is only moderate in volume, which the researcher judged sufficient for quick testing but not enough for full exam prep.Active Recall Support✓ WorkedGenerates a large flashcard set for active recall; the report states it created 60+ flashcards from a 13-page PDF and supports click-to-reveal, editing, definition changes, and adding new cards.Overall Revision Workflow Support✓ WorkedSupports an end-to-end revision loop: upload PDF, generate summary and cheat sheet, verify sources, practice flashcards, take MCQs, use hints, and customize flashcards.Study Material Handling◐ MixedInput flexibility is limited because the evaluation characterizes the tool as mainly single-document upload oriented rather than a multi-source study platform.Study Material Handling✓ WorkedAccepts a PDF upload and processes a long chapter into multiple revision outputs; the report says a 13-page document produced summaries, flashcards, and quizzes after drag-and-drop upload.Summary Output Quality✓ WorkedProduces exam-oriented summaries in structured and tabular form, and its cheat-sheet mode extracts key terms, core definitions, essential highlights, and flowchart-style explanations.Summary Output Quality◐ MixedThe summaries do not reproduce the source PDF’s embedded diagrams, so diagram-heavy material loses visual context even when the text summary is well structured.
Provenance
- Observation
- d815efd0-c731-4ab5-aa9c-d05de3308d35
- Evidence run
- 17ca9a9c-03d4-402e-b34d-2ea8078316be
- Study
- Turn Academic PDFs Into Exam-Ready Revision Notes Using AI
- Research task
- 86b8anp1v
- Tested at
- not recorded
- Source
- first-party
- Evidence state
- verified
- Proof shown
- input + output shown
- Cost / latency
- not captured
- Repeat run
- not captured
- Tester
- not captured
The last three rows are honest blanks, not placeholders — our capture has no field for them yet.
Query this
get_evidence({
tool: "youlearn"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 4 other tools
measured on Traceability & Transparency
GPAI✓ WorkedLinks summary sections back to exact source pages, with visible page references such as p.2, p.7, and p.11 and a one-click jump-to-source workflow.NotebookLM✓ WorkedLinks generated notes back to the source with numbered citations like [1], and the report says those references jump to the exact page and paragraph in the original PDF.NoteGPT✗ FailedDoes not provide click-through source mapping from a summary point back to the original PDF, so users cannot jump from a note to its source section.StudyFetch✓ WorkedThe report says AI chat can connect answers to the specific section of the uploaded material, which improves confidence in the explanation.
This evidence is published in
From the same study (page rebuilt from a later run)
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com