---
title: "🧮 **Grading Rubric — “Find One Real Agentic AI Use Case”**"
source: Panaversity Learn Agentic AI
source_url: https://github.com/panaversity/learn-agentic-ai
licence: Apache-2.0
domain: agentic-ai
subdomain: panaversity-agentic
date_added: 2026-04-25
---

# 🧮 **Grading Rubric — “Find One Real Agentic AI Use Case”**

| **Criterion**                                          | **Excellent (Full Marks)**                                                               | **Good**                                                 | **Needs Improvement**                   | **Points** |
| ------------------------------------------------------ | ---------------------------------------------------------------------------------------- | -------------------------------------------------------- | --------------------------------------- | ---------- |
| **1. Real, Documented Use Case (Accuracy)**            | Real company or workflow, verifiable source, clearly explained                           | Real example but source unclear or vague                 | Unclear or fictional example            | **2 pts**  |
| **2. Clarity of Explanation (Simplicity & Structure)** | Easy to read, structured with 5 questions or sections, written in clear English          | Understandable but missing structure or slightly complex | Hard to follow, poor flow, or confusing | **2 pts**  |
| **3. Research Depth (Understanding the Workflow)**     | Answers all 5 questions with specific details (problem, agent, control, results, reason) | Answers most questions but lacks some depth              | Superficial or incomplete answers       | **2 pts**  |
| **4. Source / Evidence Quality**                       | At least one credible link or source provided (news, blog, video, report)                | Source provided but not credible or hard to verify       | No source or copied text                | **1 pt**   |
| **5. Presentation & Grammar**                          | Well formatted (Google Doc / PDF), minimal errors, simple language                       | Some spelling/grammar issues or minor formatting issues  | Messy, difficult to read, major errors  | **1 pt**   |
| **6. Public Post Requirement (LinkedIn Tagging)**      | Posted publicly on LinkedIn with proper tags and company mention                         | Posted but missing tags or unclear mention               | Not posted publicly                     | **1 pt**   |
| **7. Bonus (Video Explanation)**                       | Clear, confident, 2–3 min summary video submitted                                        | Submitted but unclear or incomplete                      | No video submitted                      | **+2 pts** |

**Total: 8 + 2 (bonus) = 10 points**

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