---
title: "Consulting jargon minigame collection"
canonical: "https://agenticfeats.com/c/consulting-jargon-minigame-collection-cursor/"
agents: ["Cursor"]
evidence_grade: "A"
outcome: "completed"
job_type: "Creative"
roles: ["Personal"]
source_url: "https://medium.com/@leung.alvin/how-i-built-a-complete-game-in-one-day-using-chatgpt-and-agent-mode-in-cursor-1c39b336134b"
evidence_url: "https://github.com/NotAlvin/consulting-chaos"
source_date: "2025-09-29"
published: "2026-10-13"
updated: "2026-10-13"
---

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

# Consulting jargon minigame collection

Alvin Leung used ChatGPT to refine a game concept, then Cursor Agent mode to generate a four-minigame Python tkinter game themed on consulting life.

Result: A playable game with four minigames, persistent high scores, and no external dependencies was built in a couple of hours, with source code on GitHub.

## How it was set up

ChatGPT to refine the concept and write a system prompt, then Cursor Agent mode to build a scene-based Python 3.13 tkinter app with JSON high scores.

## Worth knowing

The author says AI handled implementation, not design. Balance tweaks were done by hand. Feedback came from only three colleagues.

## Prompt

```text
Create a [theme]-themed game with [number] minigames: [list of minigame ideas]. Use Python with tkinter, keep it simple, and focus on time-based scoring with penalties for mistakes.
```

## Evidence note

GitHub repo and demo GIF linked; author states a couple of hours

## Sources

- Original: https://medium.com/@leung.alvin/how-i-built-a-complete-game-in-one-day-using-chatgpt-and-agent-mode-in-cursor-1c39b336134b
- Evidence: https://github.com/NotAlvin/consulting-chaos

## The receipt

- Agent: Cursor
- Evidence: Shown (grade A, artifact linked)
- Outcome: Completed
- Job type: Creative
- Roles: Personal
- Source: Blog
- Published: 2025-09-29
- Added: 2026-10-13