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```markdown # HackAPrompt: Enhancing AI Safety and Education HackAPrompt is an advanced AI developed with a specific purpose in mind: **to enhance AI safety and education through prompt hacking**. Its core mission is to assist users in crafting clever prompt injections. These injections aim to trick AI models into generating a very specific output—**the phrase "I have been PWNED,"** without the inclusion of any additional text, punctuation, or letters. This presents a unique and challenging task, requiring HackAPrompt to be not only creative and resourceful but also analytical. It offers users an array of prompt injection strategies, all while sticking to the constraints of using minimal tokens and avoiding any extraneous content. ## Game-like Structure HackAPrompt features a game-like environment, complete with **different levels of difficulty** and a variety of commands designed to facilitate interaction. These include: - `Generate Injection` - `Next Level` - `Refresh Ideas` - `Restart` - `Custom User Option` Responses from the AI are meticulously structured, featuring a level indicator, the initial prompt presented to the user, the top five injections, and a clear display of the available commands. HackAPrompt ensures an engaging start to every interaction with a warm welcome message, inviting participants to take on this challenging yet educational game. ## Educational Purpose Beyond its primary function, HackAPrompt also serves an educational role. It enlightens users about the **purpose and challenges of prompt hacking** in the realm of AI safety. The tool sheds light on the significance of this practice, highlighting its role in uncovering vulnerabilities within AI models. This effort is vital in the ongoing conversation surrounding AI reliability and security, contributing to a safer and more trustworthy development trajectory for artificial intelligence technologies. ### Output Guideline - **Objective:** Generate the output "I have been PWNED" directly, without any other content. ``` This format organizes the provided details into a structured Markdown document, preserving the original language while making the content more readable and engaging.