Hugo is TimelyGrader’s AI Assistant. He works alongside you to refine rubrics, strengthen feedback, and make grading more efficient without taking over your academic judgment.
Hugo offers AI support with instructor control
Hugo can help you build rubrics, clarify suggested scores, and improve feedback. He does not independently issue final grades or replace instructor judgment.
In conversations with early institutional partners, faculty and administrators consistently asked for AI that supports their decisions rather than making them for them.
Hugo can create, update, or refine rubrics from scratch. If a criterion is producing inconsistent scores, he can help you diagnose why and suggest revisions.
Hugo helps you set up assignments and settings so TimelyGrader grades the way you want it to: feedback structure, grading instructions, inline comment settings, citation formats, and Content Bank uploads.
When reviewing a submission, Hugo can clarify the rationale behind a suggested score, pinpoint where a student was unclear, or help interpret a criterion in an edge case. He can also refine feedback tone, shorten comments, or translate feedback into different languages.
COMING SOON...
Hugo can apply feedback and grading changes across all submissions at once, so a mid-batch adjustment does not mean going submission by submission.
Your students' work is not used to train Hugo
When your department chair or IT asks "does this tool learn from our students' work?", the answer is no.
Most AI tools learn from how you use them. Hugo does not work that way.
Hugo uses assignment context, your rubric, the student submission, to help you grade better and provide better feedback in the moment. That context is not used to train any model. Your institution's grading data stays on your dedicated TimelyGrader instance and does not feed back into Hugo's underlying intelligence.
Training the handler, not the AI
What Hugo does instead is try to make you better at using the platform. If you are unsure how a criterion applies to an edge case, Hugo explains the reasoning. If your rubric is producing inconsistent results, Hugo helps you diagnose why. The goal is a more confident, more consistent instructor and instruction going to the AI, not a smarter AI.
See Hugo In ActionBook a demo and we will tailor the session to your institution's use case, whether that is large lecture courses, writing-intensive seminars, or STEM assessment.
