---
title: "ChatGPT agent use cases: 10 real examples"
canonical: "https://agenticfeats.com/agents/chatgpt-agent/"
receipts: 10
shown: 8
page: 1
pages: 1
---

> From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt

# ChatGPT agent use cases: 10 real examples

Agentic Feats lists 10 sourced examples of ChatGPT agent in real work; 8 link the artifact; most common job type: research (5). Newest first.

## Feats, newest first

- [UNESCO education data spreadsheet](https://agenticfeats.com/c/unesco-education-data-spreadsheet-chatgpt-agent.md) (ChatGPT agent; Shown; 2026-10-13): ChatGPT Agent pulled UNESCO student-teacher ratio and teaching staff data and built a multi-tab spreadsheet in a single 14-minute run. Result: The Agent worked for 14 minutes on the UNESCO task; the author tested it against o3-pro and ran four other work-style tasks.
- [Booking tests with ChatGPT Agent](https://agenticfeats.com/c/booking-tests-with-chatgpt-agent.md) (ChatGPT agent; Numbers; 2026-10-13): ChatGPT Agent was tested on restaurant and software demo bookings, with mixed results across three attempts. Result: The VICE booking took over eight minutes and four tries on the time picker, while the SE Ranking demo booking took 37 seconds.
- [Restaurant list and home search](https://agenticfeats.com/c/restaurant-list-and-home-search-chatgpt-agent.md) (ChatGPT agent; Shown; 2026-10-13): ChatGPT agent picked 10 restaurants in the author's vacation city, found signature dishes, and saved them as a Google Maps list with notes. Result: Built the 10-restaurant Maps list in 23 minutes and exported 13 Marbella home listings to Excel, with data the author checked as accurate.
- [Annotated bibliography on big data](https://agenticfeats.com/c/annotated-bibliography-on-big-data-chatgpt-agent.md) (ChatGPT agent; Shown; 2026-10-13): ChatGPT Agent searched academic databases, filtered peer-reviewed open-access papers, and compiled an annotated bibliography on big data in education and healthcare decision-making. Result: It produced a review-ready draft with citations and a gaps synthesis in under ten minutes, versus half a day by hand.
- [Competitor analysis deck and table](https://agenticfeats.com/c/competitor-analysis-deck-and-table-chatgpt-agent.md) (ChatGPT agent; Shown; 2026-10-13): ChatGPT Agent mode researched the top 5 UK coffee subscription companies and built a competitor deck plus a spreadsheet of each company's top 5 USPs. Result: One prompt returned a PDF deck and a USP spreadsheet in 18 minutes, with positioning, pricing models and a SWOT section.
- [Presentation and eBook from prompts](https://agenticfeats.com/c/presentation-and-ebook-from-prompts-chatgpt-agent.md) (ChatGPT agent; Shown; 2026-10-13): ChatGPT Agent researched AI in education and built a branded slide deck, and merged past newsletter posts with approved sources into an eBook draft. Result: Produced a functional researched presentation with the author's logo and colors, plus a PDF eBook draft; design was plain, so both are drafts.
- [Buying on Amazon by photo](https://agenticfeats.com/c/buying-on-amazon-by-photo-chatgpt-agent.md) (ChatGPT agent; Claim; 2026-10-13): The author used ChatGPT Agent to buy items on Amazon from a photo of the old item, handling the full purchase. Result: The agent completed whole Amazon purchases from a wrapper photo and a short instruction, until Amazon blocked agent access.
- [AI browser shopping test](https://agenticfeats.com/c/ai-browser-shopping-test-perplexity-comet.md) (ChatGPT agent, Other, Perplexity Comet; Shown; 2026-10-13): DreamHost tested five AI browsers on one Amazon task: research grinder coffee makers under $100, tabulate five, add two to cart. Result: Perplexity Comet completed the task and stopped at the cart. ChatGPT Atlas also reached checkout but was too slow to be usable.
- [Matcha ordered by agent](https://agenticfeats.com/c/matcha-ordered-by-agent-claude-cowork.md) (ChatGPT agent, Claude Cowork; Shown; 2026-10-13): The author connected Monid API keys to Claude Cowork, which customized the milk and ordered a coconut cloud matcha at a tech week pop-up. Result: A coconut cloud matcha was ordered by the agent at the first SF tech week event. The author also had ChatGPT sign up for events.
- [Multi-agent stock analysis pipeline](https://agenticfeats.com/c/multi-agent-stock-analysis-pipeline-cursor.md) (ChatGPT agent, Cursor, Custom agent; Shown; 2026-10-13): The author built a LangGraph system where valuation, sentiment and fundamental agents plus a coordinator rate four stocks and backtest the resulting portfolio. Result: A working pipeline that outputs picks, performance metrics and a chart, with a 63-day backtest against an equal-weight benchmark and a test suite.