Practical how-to articles and perspectives from AgenticLab on running AI-assisted thesis supervision — grounded in how the product actually works.
A practical walkthrough: clear your dashboard queue, review with AI assistance, decide, and let versioning and snippets remove the repetition.
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How the transparent risk score — overdue tasks, submission gaps, rejection rate, engagement — lets a coordinator intervene in week 4, not week 14.
4 min read
Walk through the setup checklist for your faculty pilot: accounts and roles, the academic term, supervisor–student assignment, AI budget and policy, orientation, then run and measure.
5 min read
The distance between a plausible-sounding answer and a precise academic judgment — and why Project Mentor assists relentlessly but decides never.
4 min read
Turning the rubric into a structured, optional, auditable step — five shared criteria, version history, and AI assistance that accelerates review without removing faculty judgment.
4 min read
Scoped student AI tools, every interaction logged and attributed, and faculty in control of policy — a defensible stance a university can actually maintain.
4 min readEvery article is grounded in how Project Mentor actually works. Take the no-login guided tour.
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