---
title: "Assignment: 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
---

# Assignment: Find One Real Agentic AI Use Case

**Time:** 1 week
**For:** Everyone (grade 10 students to professionals)

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## What You'll Do?

Find ONE real company or workflow where agentic AI is being used right now. Research it. Understand it. Explain it simply.

That's it.

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## Step 1: Find a Real Use Case

- Research of a niche or company where agentic ai is used in real life.
- Search: "[Company name] AI agent" or "[Company name] automation"
- Look for news articles, blog posts, YouTube videos

**Your task:** Pick ONE and write down:
- Company name
- What problem they had
- What the agent does
- Where you found this information (link or source)

---

## Step 2: Research Deep

For your chosen use case, find answers to these 5 simple questions:

### Question 1: What Was the Problem?
**Write 2-3 sentences answering:**
- What task was taking lots of time/money before?
- How many people were doing this manually?
- What was costing the company?

Example: "Amazon warehouse workers were manually moving packages across the warehouse. This took 8 hours per person per day. The company needed to move packages faster without hiring more workers."

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### Question 2: What Agent Did They Build?
**Write 2-3 sentences answering:**
- What does the agent do (be specific)?
- What inputs does it get (what information)?
- What outputs does it create (what does it do)?

Example: "Amazon robots navigate warehouse floors using cameras and sensors. They receive instructions like 'go to shelf B-42 and pick up package #1234.' They move to that location, pick up the package, and bring it to the packing station."

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### Question 3: How Do Humans Stay in Control?
**Write 2-3 sentences answering:**
- Do humans still make decisions?
- What do humans check or approve?
- What happens if something goes wrong?

Example: "Robots follow programmed routes and safety rules. Humans monitor the robots on screens and can stop them if there's a problem. If a robot gets stuck, a human takes over and helps it."

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### Question 4: What Results Did They Get?
**Write 2-3 sentences answering:**
- What improved? (speed, cost, quality, etc.)
- By how much? (Give numbers if you can find them)
- How did this help the business?

Example: "Amazon moved 50% more packages with the same number of workers. Each robot can move 300 packages per day. This saved the company millions in labor costs."

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### Question 5: Why Did This Work?
**Write 2-3 sentences answering:**
- Why was this job good for an agent?
- What made it easier/harder than other tasks?
- Would this work for other companies?

Example: "Warehouse work is repetitive — pick, move, drop. This is perfect for agents because the instructions are clear. Agents don't get tired. Any warehouse could use this."

---

## Step 3: Submission Guidelines

#### Required: One-Page Summary or Q&A Format [8 points]
Write a simple, one-page explanation in Google Docs - don't forget to make it public:
- Heading 1: Company name and the problem faced
- Heading 2: What the agent does and how humans stay in control?
- Heading 3: What measurable results they got
- Heading 4: Why this matters
- Heading 5: Include at least ONE link or source where you found this:
  - News article
  - Company blog post
  - YouTube video
  - Academic paper
  - Industry report
  - If you watched a YouTube video, put the link and timestamp.

Keep it simple. Use short sentences. A grade 10 student should be able to understand it.

**Public Post:**: Post it on LinkedIn, mention Panaversity and the company that implemented the solution. Add post link to your submission.

Important Notes:
- Make Google Doc Public: Click on `Share` -> Select `Anyone with the link` in General Access -> Click `Copy link` and paste it in the submission form.
- Ensure your post is well-structured and easy to read.
- Use clear and concise language.
- Proofread your work for spelling and grammar errors.

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#### Bonus Points: Video Explanation (2-3 minutes) [2 points]

Record yourself explaining:
- What company
- What they built
- What results they got

Phone camera is fine. No editing needed.

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## Grading Rubric

**Full marks if you:**
- Pick a real, documented use case ✓
- Answer all 5 questions clearly ✓
- Include at least one source ✓
- Write in simple, understandable English ✓

**You lose marks only if:**
- You don't answer the questions
- You make up fake information
- You don't include a source
- It's too vague to understand

---

## What NOT to Do

❌ Don't make up a company or result
❌ Don't say "I think agents could do X" — find proof that they're actually doing it
❌ Don't write something so complex nobody understands it
❌ Don't copy-paste from Wikipedia. Use your own words
❌ Don't submit something with no source

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## Where to Find Real Use Cases

Pick ONE from this list:

### Easy to Find (Lots of Public Info):
1. **Amazon warehouse robots** — Autonomous robots moving packages
2. **ChatGPT helping customer support** — AI answering customer questions
3. **Netflix recommendations** — AI suggesting what to watch
4. **Google Maps traffic** — AI predicting traffic patterns
5. **Bank fraud detection** — AI spotting suspicious transactions
6. **Manufacturing quality control** — Cameras finding defects automatically
7. **Hospital scheduling** — AI scheduling patient appointments
8. **Uber route optimization** — AI finding best delivery routes
9. **Salesforce Einstein** — AI updating customer records automatically
10. **HubSpot lead scoring** — AI ranking which leads to call first

### Or Find Your Own:

**Best websites to search:**
- Google News: Search "[company name] AI agent" or "[company name] automation"
- Company blogs: Amazon, Google, Microsoft, Salesforce all publish case studies
- LinkedIn: Search your industry + "AI agent" + "case study"
- YouTube: Search "[company] AI implementation" or "[workflow] automation"
- Medium/Dev.to: Tech writers explain AI use cases
- McKinsey/Deloitte reports: Free research on AI in different industries
- Industry news: Read news about your industry

**Companies with public AI projects:**
- Amazon (warehouses, delivery)
- Google (search, recommendations)
- Netflix (recommendations)
- Salesforce (CRM automation)
- Microsoft (Office automation)
- Banks (fraud detection, customer service, JPMorgan)
- E-commerce sites (customer service bots)
- Hospitals (scheduling)
- Manufacturing (quality control)

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## Submission

**Due:** 26 October 2025 at 11:59 PM PK [UTC/GMT +5:00]

**Submit:**
- Your written summary along with presentation OR video
- At least one source/link
- File format: PDF, Google Doc, PowerPoint, MP4, or link

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