No detection. No surveillance. Just a clear record of how AI was used in a piece of student work, attached to the submission, ready for staff to scan.
As students work on an assignment, ShowMyAI makes it easy to keep a structured record of any AI support used. Purpose of use, tools used, scope and nature. Encouraging accuracy, reflection, and consistency.
As AI use is recorded, students are guided to review it in line with academic expectations. Checking sources, reviewing for hallucinations, ensuring appropriate referencing, and reflection prompts that build better habits.
ShowMyAI produces a clear, structured summary of AI use shared alongside the submission. Providing staff with context and creating a transparent, auditable record. No detection tools.
Students record the key AI interactions that shaped their work without dumping entire chat histories.
Check that references exist, match the claims, and are strong enough to support the argument.
Students explain what they accepted, changed or rejected, and why.
Templates and guidance that help students ask clearer questions and get higher quality outputs.
Support students to choose the best model or workflow for brainstorming, drafting, editing or verification.
A clear, consistent summary staff can scan quickly, with evidence available when needed.
Less guesswork, faster review, fewer integrity investigations.
Transparency without gotcha policing. Clearer expectations for everyone.
Catch invented references and weak sourcing before submission.
Better prompts, smarter tool choice, stronger checking habits. The kind of AI literacy students need for work.
ShowMyAI is currently working with early partners to pilot responsible AI transparency in real academic environments. If you are exploring how to move from university AI policy to AI practice, we would love to talk.
Built specifically for AI in education. Not a generic AI tool.
Surfaces context. Not judgement.
Practical, not bureaucratic.
Designed for pilots and scalable adoption, not long procurement cycles.