Inputting Prompt From Scratch
ChatGPT
Perplexity
Github Copilot on VS Code
Copilot on Bing
Problem: Beginning interactions with AI without a clear starting point can overwhelm users, making it challenging to initiate meaningful exchanges.
Example: A user approaching a creative writing AI without any prompts may struggle to articulate their needs, resulting in vague or unhelpful responses from the system.
Usage: The "Inputting from Scratch" pattern is crucial for applications requiring user-generated prompts, such as creative writing tools, brainstorming assistants, and problem-solving bots, facilitating a user-friendly way to start interactions.
Solution
To effectively implement the "Inputting from Scratch" pattern, several strategies are adopted to simplify the initial interaction phase for users:
- Guided Prompt Suggestions: Offering users examples or templates of prompts to help kickstart their interaction with the AI.
- Incremental Prompt Building: Allowing users to build their prompts step by step, with the AI suggesting additions to refine or expand the user's input.
- Interactive Tutorials: Providing short, interactive guides that demonstrate how to craft effective prompts, enhancing users' understanding and confidence in initiating exchanges.
- Feedback Loop for Improvement: Incorporating a mechanism for users to receive immediate feedback on their prompts, with suggestions for improvement or clarification.
Rationale
The "Inputting from Scratch" pattern is designed with the understanding that a clear and accessible starting point is essential for engaging and productive interactions with AI:
- Facilitates Ease of Use: Reducing barriers to entry for users new to AI interactions, making the technology more accessible and inviting.
- Enhances User Confidence: By guiding users in creating effective prompts, they feel more in control and assured of the relevance of the AI's responses.
- Promotes Creative Exploration: Encouraging users to experiment and explore different prompts opens up a broader range of possibilities for AI engagement.
- Improves Interaction Quality: Well-crafted initial inputs lead to more accurate and satisfying AI responses, enhancing the overall user experience.