Pre-built Student AI Workflows

Using only my uploaded lecture materials:
1. Extract the top 10 concepts and formulas most likely to be tested on an exam.
2. For each, give a 1-sentence definition followed by an everyday analogy.
3. Formulate 5 challenging multiple-choice questions with answer explanations for why incorrect choices are wrong.

Analyze the current scholarly consensus on [Research Topic].
- What are the 3 most robust empirical findings from peer-reviewed studies published between 2020 and 2025?
- Provide direct citations including Author (Year) and DOI.
- Summarize any methodological limitations or conflicting results across these studies.

Transform these raw lecture notes into a structured study guide:
1. Executive Summary (under 100 words).
2. Key Terminology (Bold term + definition + real-world example).
3. 5 Practice Questions to test active recall before the next lecture.

Transform this project brief into an 8-slide presentation:
- Slide 1: Relatable problem statement hook.
- Slides 2-4: Core architecture and team methodology.
- Slide 5: Real-world results and metrics.
- Slide 6: Next steps and team contributions.
Keep every bullet point under 15 words.

Act as a senior hiring manager at a top tech company.
1. Compare my resume against this job description. Identify the top 5 missing keywords and skill gaps.
2. Rewrite my 3 project bullet points using the Google XYZ formula: 'Accomplished [X] as measured by [Y], by doing [Z]'.
3. Ask me 3 tough behavioral questions based on my actual experience.