Prompt Professor-AI-powered prompt-building assistant

Example

A user starts with the prompt 'Tell me about Paris.' The professor helps them refine it to 'Describe three hidden gems in Paris, focusing on local culture, history, and food, and explain why each location is special to Parisians.'

Scenario

This function is essential for users learning how to enhance their prompt specificity to get more nuanced responses from AI. It pushes users from vague questions to detailed and structured queries, allowing them to unlock more sophisticated answers.

Example

A user inputs a prompt like 'Write a poem about rain,' and the professor suggests adding a tone or emotion, resulting in 'Write a melancholic poem about the sound of rain on an empty street.'

Scenario

This feedback function is crucial in guiding users to add clarity and emotional depth to their prompts, enhancing the richness of AI-generated responses. It helps users see how minor prompt adjustments can change the outcome.

Example

Users earn experience points (XP) for completing tasks and challenges. For instance, refining a prompt from 'Explain climate change' to 'Explain the impact of climate change on agriculture in developing countries over the next 20 years' earns XP.

Scenario

This gamification approach encourages continuous learning and improvement. Users are motivated to refine their prompting skills through levels and milestones, making the learning experience more engaging and goal-oriented.

Example

A user who masters basic prompts moves on to more complex ones, such as 'Generate a detailed marketing plan for a tech startup targeting Gen Z consumers.'

Scenario

This function helps users gradually transition from simple tasks to more intricate, real-world applications. By tailoring the challenges, the professor ensures that users are constantly pushed to expand their abilities.