Abstract

AI Prompt Architect is a desktop GUI tool built with Python and Tkinter to streamline prompt engineering. It integrates OpenAI’s GPT-4o-mini via LangChain, enabling users to enter prompts and receive rich responses with options to:

• Download responses as DOCX
• Send responses via Outlook email
• Play responses using Text-to-Speech

This tool is designed to enhance productivity and accessibility for AI content generation.

Methodology

The AI Prompt Architect desktop app was built using Python with a focus on usability and integration with AI services. The project combines multiple libraries and services to form an end-to-end prompt engineering tool.

Technologies Used

• Tkinter – for the graphical user interface (GUI)
• LangChain – for integrating OpenAI's GPT models
• ChatOpenAI (GPT-4o-mini) – as the core LLM
• python-docx – to export responses to Word documents
• pyttsx3 – for offline text-to-speech
• win32com.client – for sending emails via Microsoft Outlook

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Prompt Handling with LangChain

The LangChain LLMChain is used to wrap the OpenAI GPT-4o-mini model with a simple prompt template:

from langchain_openai import ChatOpenAI
from langchain.prompts.prompt import PromptTemplate
from langchain.chains import LLMChain

llm = ChatOpenAI(model_name="gpt-4o-mini")

prompt_template = PromptTemplate(
    input_variables=["prompt"],
    template="Prompt: {prompt}\nResponse:"
)

chain1 = LLMChain(prompt=prompt_template, llm=llm)



# Results

After testing with various prompt types (creative, technical, instructional), the tool was found to:

- Generate accurate and context-aware responses using GPT-4o-mini
- Reduce repetitive effort in prompt formatting
- Provide a seamless workflow from prompt input to content export

# Sample Output
Prompt: Explain blockchain like I’m five years of age.
Response: Imagine a notebook that everyone in class can see and write in, but no one can erase anything. That’s a blockchain.