Build a 10-12 hour university finals speedrun workflow from student-provided course materials. Use when the user wants to quickly review one or more courses for final exams, drop all materials for each course into one folder without manual sorting, automatically classify PPTs/textbooks/recordings/homework photos/review notes/past exams, extract a knowledge framework, map homework questions to knowledge points, analyze homework question logic/style/difficulty, read and generate charts/figures for engineering-style questions, identify confusing and high-value exam points, generate three staged practice papers, review mistakes, run rolling recitation, and create a final morning sprint plan. Works across Codex, Claude Code, OpenClaw/OpenWork-style agents, and other file-based AI coding assistants.
Build a 10-12 hour university finals speedrun workflow from student-provided course materials. Use when the user wants to quickly review one or more courses for final exams, drop all materials for each course into one folder without manual sorting, automatically classify PPTs/textbooks/recordings/homework photos/review notes/past exams, extract a knowledge framework, map homework questions to knowledge points, analyze homework question logic/style/difficulty, read and generate charts/figures for engineering-style questions, identify confusing and high-value exam points, generate three staged practice papers, review mistakes, run rolling recitation, and create a final morning sprint plan. Works across Codex, Claude Code, OpenClaw/OpenWork-style agents, and other file-based AI coding assistants.