⚡ PromptOps Dashboard

PromptOps Dashboard is a modern, AI-powered platform that helps users test, compare, and optimize prompts for maximum effectiveness.
It combines Prompt Engineering techniques with Generative AI insights to score, refine, and visualize prompt performance — making it an essential tool for content creators, marketers, and AI professionals.

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🔍 Preview

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✨ Features

• 📊 Prompt Comparison Tool
  Compare 2–5 prompts side-by-side with AI-generated outputs for each.

• 📈 Prompt Effectiveness Scoring
  Prompts are rated on clarity, creativity, relevance, and engagement. Scores displayed via charts and progress bars.

• 📝 Optimization Suggestions
  AI provides rewritten versions of prompts with highlights of improvements (e.g., stronger verbs, added context).

• 📉 Performance Analytics
  Interactive dashboard showing:

  • Engagement trend lines
  • User rating feedback
  • Downloadable CSV/PDF reports

• 🎨 Cyberpunk-Inspired UI
  Minimal dark theme with neon blue (#00CFFF) and purple (#9C27B0), smooth animations, and mobile-first responsive design.

• 💡 AI-Powered Insights
  Contextual tips for writing high-performing prompts (e.g., “Add more domain-specific context for relevance”).

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🧠 Prompt Engineering

PromptOps Dashboard leverages multi-prompt testing and structured evaluation to help users refine their prompting skills:

• Example Input:
  “Write an Instagram Reel script on healthy eating habits.”

• AI Process Flow:

  1. Generate outputs for each user-submitted prompt.
  2. Score each output across clarity, creativity, and engagement.
  3. Suggest refinements for underperforming prompts.
  4. Display side-by-side comparisons for easy decision-making.

This method teaches users why some prompts perform better, not just which ones win.

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🤖 Generative AI

Generative AI powers:

• Real-Time Comparisons: Instant AI-generated results for multiple prompts.
• Contextual Optimization: Suggests prompt improvements based on best practices.
• Engagement Prediction: Scores designed to simulate audience reaction potential.
• Data-Driven Visuals: Converts performance data into actionable charts.

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💻 Example Code

from openai import OpenAI

client = OpenAI()

prompts = [
    "Write a 30-second Instagram Reel script about healthy breakfasts.",
    "Create a fun, Gen Z-friendly Reel idea for quick morning meals."
]

for p in prompts:
    prompt = f"""
    Evaluate the following prompt:
    {p}
    1. Generate an example output.
    2. Score it on clarity, creativity, relevance, and engagement (0-10 each).
    3. Suggest a rewritten version to improve performance.
    """
    
    response = client.chat.completions.create(
        model="gpt-4",
        messages=[{"role": "user", "content": prompt}],
        temperature=0.6
    )

    print(f"Prompt: {p}\n")
    print("AI Analysis:", response.choices[0].message["content"])

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🔗 Live Demo

👉 Try PromptOps Dashboard Now

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📄 License

This project is not licensed for reuse or redistribution.
All rights reserved © [Esha Sharma], 2025.
Please do not copy, modify, or use this work without prior written permission.

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👤 Author

Created by [Esha Sharma]
🔍 Prompt Engineer | ✍️ Content Strategist | 🤖 GenAI Creator