Deepen Learning

with Productive, Creative and Ethical AI

Grows AI Literacy

  • Full AI Transparency: Learn how to use AI responsibly.

  • Fine-tuned: AI to push thinking, not do the work for you.

Unique Approach

  • Carefully curated for education: Does not use AIs “in the wild,” unaccountable, and inappropriately tuned for learning.

  • Human-Centered AI: Brings peers and teachers into the loop.

  • Replaces: Word and Google Docs.

  • Support writing and writing assessment: In every subject, from Grade 6 to University.

Students: Keep it Simple

  • Sign in, complete your work, export a PDF, and send it to the teacher with a verified AI usage report.

  • Use the multilingual White Rabbit assistant to help you think and write with AI.

  • Use readymade Rubric Agents to support:

    • Informational and Explanatory Writing

    • Persuasive and Explanatory Writing

    • Narrative and Creative Writing

    • Research Report Writing

    • And more...

Teachers: Design Instruction and Dig Deeper

  • Customize your own Rubric Agents for any subject area using simple forms (think: assessment)

  • Build your students’ Knowledge Base just by uploading files (think: learning resources).

  • Create student projects with a series of tasks, including peer and self-review and cyber support for constructive reviews (think: project-based learning)

  • Set AI targets: minimum and maximum amount of AI support. Use AI in a controlled environment for effective learning.

  • Assess as you go! Instant formative assessment. Watch learner progress over time. CyberScholar gets to know the learner and tunes responses to their Zone of Proximal Knowledge (ZPK).

How it Works

  • Powered by an algorithm that meshes Contextual AI (keystroke signature, clickstream, timestamp, logfile data) with Generative AI (rating levels with qualitative explanations).

  • Connects to any foundation model selected by the teacher (Chat GPT, Claude, Llama, Grok, Mistral, etc.).

Core Capabilities

  • Rubric Agents: multi-pass prompt engineering in easily accessible web forms for criterion descriptions and rating levels.

  • Knowledge Base: Retrieval Augmented Generation (RAG) vectorizes source material uploaded by teachers.

  • Metaprompts: Cache Augmented Generation (CAG) as the system fine-tunes for education purposes (not: “write the essay for me”; but “push my thinking”).

  • Human-in-the-loop moderation: peer, self, and teacher review to balance and check the AI review.

  • Assessment algorithm replaces statistical survey psychometrics (old-fashioned tests) with a new, far more rigorous and fairer AI assessment paradigm (reflexive pedagogy)—longitudinal learner progress tracking.

  • CyberAnalytics tracks AI and human contributions to assignments.

Learn more