Our Mission
Faculty, department chairs, and curriculum directors spend an estimated 40 to 80 hours per semester drafting, reviewing, and balancing summative multiple-choice questions for single textbooks.
BankMyBook solves this institutional bottleneck. We provide client-side, privacy-preserving technical synthesis software that parses complex textbooks and generates pedagogical test items across Bloom's Cognitive Taxonomy|freeing instructors to focus on classroom teaching and student engagement.
Built on Three Foundational Principles
1. Absolute Academic Privacy
We believe instructors should never have to surrender their course materials. Your PDFs are read locally in your browser memory and never permanently stored on external servers.
2. Calibrated Distractor Modeling
A test is only as good as its incorrect options. Our engine synthesizes plausible, pedagogically sound distractors that test common student misconceptions without ambiguous trick questions.
3. Parallel High-Throughput
Our clustered synthesis pipeline processes multiple sections concurrently, transforming 1,000-page textbooks into 500-question master packages in under 3 minutes.
How BankMyBook Eliminates AI Hallucinations in Exams
Why generic AI chatbots fail at exam creation, and how our specialized synthesis pipeline ensures 100% textbook citation fidelity.
1. Zero-Upload In-Memory Parsing
Unlike cloud services that upload entire proprietary PDFs to persistent servers, BankMyBook executes client-side text extraction in your browser using isolated Web Workers. Only small, anonymized conceptual chunks are sent during active generation, ensuring total institutional compliance with FERPA and international copyright laws.
2. Bloom's Taxonomy Cognitive Calibration
Questions are not generated at random difficulty. The author calibrates precise ratios of Recall (testing core terms), Application (clinical or situational problem-solving), and Analysis (multi-concept synthesis). Sliders auto-balance mathematically to maintain strict 100% distribution fidelity.
3. Negative-Constraint Prompt Engineering
Our AI engine enforces strict negative rules forbidding meta-references (such as "As discussed in chapter 4...") and bans obvious joke distractors. Distractors are formulated to represent common student misconceptions and closely mirror correct answer lengths.
4. Publisher-Grade PDF Compilation
Testbanks are rendered server-side with native vector typography via TCPDF. Output packages include a student examination copy, a dedicated master answer key grid, and detailed rationale explanations for every correct option.
Have Questions or Departmental Inquiries?
Our team is available to assist with custom syllabus integration, institutional invoicing, or technical guidance.