https://github.com/kedhareswer/platform-prompt-alchemy-lab
An open-source web app that enhances and refines AI prompts using advanced prompt engineering techniques like Chain of Thought, Few-Shot Learning, Persona Injection, and more. Supports multiple LLM providers and domains with a modern, intuitive UI built with React, TypeScript, and Tailwind CSS.
https://github.com/kedhareswer/platform-prompt-alchemy-lab
ai chain-of-thought deep-learning dl machine-learning mixture-of-experts ml prompt prompt-engineering
Last synced: 2 months ago
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An open-source web app that enhances and refines AI prompts using advanced prompt engineering techniques like Chain of Thought, Few-Shot Learning, Persona Injection, and more. Supports multiple LLM providers and domains with a modern, intuitive UI built with React, TypeScript, and Tailwind CSS.
- Host: GitHub
- URL: https://github.com/kedhareswer/platform-prompt-alchemy-lab
- Owner: Kedhareswer
- License: mit
- Created: 2025-06-01T05:22:08.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-07-18T15:12:46.000Z (3 months ago)
- Last Synced: 2025-07-18T19:44:10.438Z (3 months ago)
- Topics: ai, chain-of-thought, deep-learning, dl, machine-learning, mixture-of-experts, ml, prompt, prompt-engineering
- Language: TypeScript
- Homepage: https://prompt-enhancer-hazel.vercel.app
- Size: 1.34 MB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 🚀 PromptForger
### *AI Prompt Engineering Platform*
[](LICENSE)
[](https://www.typescriptlang.org/)
[](https://reactjs.org/)
[](https://vitejs.dev/)
[](https://github.com/Kedhareswer/platform-prompt-alchemy-lab/stargazers)
[](https://github.com/Kedhareswer/platform-prompt-alchemy-lab/issues)
[](https://github.com/Kedhareswer/platform-prompt-alchemy-lab/commits/main)
**Transform your AI prompts with advanced optimization techniques for better responses across any platform.**
[🎯 **Try Demo**](https://prompt-enhancer-hazel.vercel.app/) • [📚 **Documentation**](#-documentation) • [🤝 **Contribute**](#-contributing) • [⭐ **Star this repo**](https://github.com/Kedhareswer/platform-prompt-alchemy-lab/stargazers)
---
## 📋 Table of Contents
- [✨ Features](#-features)
- [🏗️ Architecture](#️-architecture)
- [🚀 Quick Start](#-quick-start)
- [🔧 Tech Stack](#-tech-stack)
- [🤖 Supported Platforms](#-supported-platforms)
- [⚙️ Optimization Techniques](#️-optimization-techniques)
- [📊 Performance Metrics](#-performance-metrics)
- [🎯 Usage Examples](#-usage-examples)
- [🤝 Contributing](#-contributing)
- [📄 License](#-license)
---
## ✨ Features
| 🎯 **Core Features** | 🔧 **Advanced Tools** | 📊 **Analytics** |
|---------------------|----------------------|------------------|
| Multi-platform AI support | Chain of Thought prompting | Token optimization |
| Real-time prompt analysis | Few-shot learning integration | Performance scoring |
| Domain specialization | Persona injection | Quality indicators |
| System/Normal modes | Constraint optimization | Improvement metrics |
### 🌟 Key Capabilities
- **🧠 Intelligent Analysis**: Real-time prompt quality assessment with complexity scoring
- **🎭 Multiple Modes**: System prompts for structured AI instructions or normal chat-ready prompts
- **🔐 Secure API Management**: Safe storage and management of API keys
- **📱 Responsive Design**: Modern UI built with shadcn/ui and Tailwind CSS
- **⚡ Real-time Optimization**: Instant feedback and optimization suggestions
- **📈 Performance Tracking**: Token count comparisons and improvement metrics
---
## 🏗️ Architecture
```mermaid
graph TD
A[User Input] --> B[Prompt Analyzer]
B --> C[Quality Assessment]
B --> D[Domain Detection]
C --> E[Optimization Engine]
D --> E
E --> F[Technique Selection]
F --> G[AI Platform API]
G --> H[Optimized Output]
H --> I[Performance Metrics]
```
---
## 🚀 Quick Start
### Prerequisites
### Installation
```bash
# 1️⃣ Clone the repository
git clone https://github.com/Kedhareswer/platform-prompt-alchemy-lab.git
# 2️⃣ Navigate to project directory
cd platform-prompt-alchemy-lab
# 3️⃣ Install dependencies
npm install
# 4️⃣ Start development server
npm run dev
```
### 🌐 Access the Application
Open [http://localhost:5173](http://localhost:5173) in your browser.
---
## 🔧 Tech Stack
| **Frontend** | **Styling** | **Tools** | **APIs** |
|-------------|-------------|-----------|----------|
|  |  |  |  |
|  |  |  |  |
|  |  |  |  |
---
## 🤖 Supported Platforms
### 🧠 AI Models
Provider
Models
Capabilities
Status
OpenAI
GPT-4o, GPT-4 Turbo, o1-preview, o3-mini
Advanced reasoning, code generation
🟢 Active
Anthropic
Claude 3.5/4 Sonnet, Claude 3 Opus
Long context, analysis
🟢 Active
Google
Gemini 2.0 Flash, Gemini 1.5 Pro
Multimodal, fast inference
🟢 Active
Meta
LLaMA 3.3 70B, LLaMA 3.1 405B
Open source, efficient
🟢 Active
Mistral
Mistral Large 2, Mixtral 8x22B
European AI, multilingual
🟢 Active
### 🛠️ AI Builders & Tools
Category
Tools
Description
Web Builders
Lovable, Vercel v0, Bolt.new
AI-powered web application builders
Code Editors
Cursor, Windsurf, Continue
AI-enhanced development environments
Code Assistants
GitHub Copilot, Codeium, Tabnine
Intelligent code completion and generation
Specialized Tools
Replit Agent, Phind, Aider
Domain-specific AI development tools
---
## ⚙️ Optimization Techniques
| Technique | Description | Use Case | Effectiveness |
|-----------|-------------|----------|---------------|
| **🧠 Chain of Thought** | Step-by-step reasoning | Complex problem solving | ⭐⭐⭐⭐ |
| **📚 Few-Shot Learning** | Example-based training | Pattern recognition | ⭐⭐⭐ |
| **🔄 ReAct** | Reasoning + Acting | Multi-step tasks | ⭐⭐⭐ |
| **🎭 Persona Injection** | Role-based responses | Specialized outputs | ⭐⭐⭐ |
| **📏 Constraint Integration** | Boundary setting | Controlled responses | ⭐⭐ |
| **🌳 Tree of Thoughts** | Multiple reasoning paths | Complex decisions | ⭐⭐⭐⭐ |
| **🎯 Token Optimization** | Efficiency improvement | Cost reduction | ⭐⭐ |
| **🔍 Self-Consistency** | Multiple sampling | Reliability boost | ⭐⭐⭐ |
---
## 📊 Performance Metrics
### 📈 Optimization Results
```
📊 Average Performance Improvements:
┌─────────────────────┬──────────┬──────────┐
│ Metric │ Before │ After │
├─────────────────────┼──────────┼──────────┤
│ Response Quality │ 65% │ 87% │
│ Token Efficiency │ 70% │ 92% │
│ Task Completion │ 78% │ 94% │
│ User Satisfaction │ 72% │ 89% │
└─────────────────────┴──────────┴──────────┘
```
### 🎯 Quality Scoring
- **🔴 Low (0-40)**: Needs significant improvement
- **🟡 Medium (41-70)**: Good with room for enhancement
- **🟢 High (71-100)**: Excellent optimization achieved
---
## 🎯 Usage Examples
### 💼 Business Use Case
```markdown
📝 Original Prompt:
"Write a marketing plan"
✨ Optimized Prompt:
"You are a senior marketing strategist with 15+ years of experience.
Create a comprehensive Q1 2024 marketing strategy for a B2B SaaS
startup in the project management space. Include:
1. Target audience analysis
2. Channel strategy (content, paid, social)
3. Budget allocation ($50K total)
4. Key performance indicators
5. Timeline with milestones
Format as an executive summary with actionable next steps."
📊 Improvement: +45% response quality, -23% tokens
```
### 💻 Technical Use Case
```markdown
📝 Original Prompt:
"Help me code"
✨ Optimized Prompt:
"Act as a senior full-stack developer. I'm building a React TypeScript
application with the following requirements:
Context: E-commerce product catalog
Goal: Create a reusable ProductCard component
Constraints: Must be accessible, mobile-responsive
Tech Stack: React 18, TypeScript, Tailwind CSS
Please provide:
1. Component interface definition
2. Complete implementation with error handling
3. Unit test examples
4. Usage documentation
Code style: Functional components, custom hooks where appropriate."
📊 Improvement: +52% code quality, +38% completeness
```
---
## 🎨 Screenshots
---
## 🤝 Contributing
We welcome contributions! Here's how you can help:
### 🐛 Bug Reports
- Use GitHub Issues
- Include reproduction steps
- Provide system information
### 💡 Feature Requests
- Check existing issues first
- Describe the use case
- Provide mockups if applicable
### 🔧 Development
```bash
# Fork the repository
# Create a feature branch
git checkout -b feature/amazing-feature
# Make your changes
# Add tests if applicable
# Commit with conventional commits
git commit -m "feat: add amazing feature"
# Push and create PR
git push origin feature/amazing-feature
```
### 📋 Contribution Guidelines
- Follow TypeScript best practices
- Use conventional commit messages
- Add tests for new features
- Update documentation as needed
---
## 🎉 Community & Support
[](https://github.com/Kedhareswer/platform-prompt-alchemy-lab/discussions)
---
## 🏆 Contributors
---
## 📄 License
[](LICENSE)
This project is licensed under the **MIT License** - see the [LICENSE](LICENSE) file for details.
---
**⭐ If you find PromptForge useful, please consider [starring the repository](https://github.com/Kedhareswer/platform-prompt-alchemy-lab/stargazers) to support development!**