[Project Submission]Your AI prompt assistant, PromptFix #60
Description
🌍 Problem Statement
In the era of Generative AI, most tools and applications rely heavily on user-provided prompts to generate meaningful and accurate outputs. However, many users struggle to craft effective prompts due to a lack of understanding of how language models interpret input. This often results in vague, irrelevant, or inconsistent responses.
Despite the growing availability of powerful AI tools, users — especially non-technical ones — face several common challenges:
- Difficulty in formulating clear and goal-oriented prompts.
- Lack of feedback on why a prompt fails to yield desired results.
- Time-consuming trial-and-error process to improve prompt effectiveness.
- Limited access to prompt engineering knowledge, which is now a critical skill for leveraging AI effectively.
🛠️ Your Solution
To solve the problem of ineffective prompt crafting and to make prompt engineering more accessible, we are customizing the "GenAI chat frontend including debug, restyle, and revisit" azd template to build an intelligent assistant called the Prompt Debugger.
Template Chosen:
GenAI chat frontend including debug, restyle, and revisit
Reason: This template provides a robust foundation for building a generative AI-powered chat interface with features like prompt restyling, debugging, and history management — all of which directly align with our project goals.
Customizations and Extensions:
Prompt Quality Analysis
Added backend logic (using Azure OpenAI + Azure Functions or LangChain) to evaluate the clarity, intent, and structure of prompts.
Uses AI to return feedback and highlight areas of improvement.
Multi-Response Generation
Modified the chat pipeline to return multiple completions per prompt from different configurations (temperature, system instructions, etc.).
This enables users to compare and understand response variability.
Tips & Suggestions
Added a "Tips Panel" to the UI that dynamically displays prompt engineering tips based on the prompt category (e.g., summarization, coding, ideation).
Integrated lightweight prompt classification to tailor advice contextually.
Prompt Versioning and Revisit
Leveraged the built-in “revisit” feature of the template to let users go back to previous prompts and see how different versions evolve.
Debug & Restyle Enhancements
Extended the restyling system to offer “improve,” “simplify,” and “clarify” buttons that automatically rewrite user prompts using best practices.
Why This Approach is Relevant:
This template already supports key conversational UI features and is designed for generative AI interactions. By customizing it:
I am avoiding building a GenAI interface from scratch.
I am gaining for built-in support for prompt history, editing, and state handling.
I am focusing towards development on the unique aspects of prompt diagnostics and improvement, which are central to the Prompt Debugger experience.
🚀 Repository & Demo (if any)
- GitHub repo: https://github.com/Komali-Velangani/Project-JS
- Study Jam: MLSA SPSU
🙌 Call for Upvotes
Today, most AI tools rely on user prompts — but let’s face it, writing a great prompt isn’t easy. Many users struggle to get the right response simply because the prompt isn’t clear, structured, or goal-oriented. That’s where Prompt Debugger comes in.
I am building an intelligent AI assistant that analyzes your prompts, identifies issues, and gives you smart suggestions to improve them. Not only that — it also provides multiple response variations so you can choose what works best, and teaches you prompting techniques along the way.
To build this, I am customizing Microsoft’s GenAI chat frontend template, which already supports features like prompt editing, debugging, and revisiting previous messages. I am extending it with:
-Prompt quality checks using Azure OpenAI,
-AI-generated improvement suggestions,
-A tip system for real-time learning,
And enhanced debugging tools to refine and restyle prompts instantly.
With Prompt Debugger, I am not just helping users get better AI results — I am making prompt engineering accessible to everyone.