Docs & Roadmap updates

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ajaysi
2025-04-21 21:07:35 +05:30
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## Easy Installation Guide for Content Creators
### Step 1: Install Python 3.11
1. Download Python 3.11 installer:
- Visit [Python 3.11.6 Download Page](https://www.python.org/downloads/release/python-3116/)
- Scroll down and click on "Windows installer (64-bit)"
- Save the file to your computer
2. Run the installer:
- Double click the downloaded file
- ✅ IMPORTANT: Check "Add Python 3.11 to PATH"
- Click "Install Now"
- Wait for installation to complete
- Click "Close"
### Step 2: Install ALwrity
1. Download this project:
- Click the green "Code" button above
- Select "Download ZIP"
- Extract the ZIP file to your desired location
2. Open Command Prompt:
- Press Windows + R
- Type "cmd" and press Enter
- Navigate to the extracted folder:
```
cd path\to\ALwrity
```
3. Run the automatic installer:
```
python setup.py install
```
### Troubleshooting
If you encounter any issues:
1. Make sure Python 3.11 is installed correctly:
- Open Command Prompt
- Type: `python --version`
- Should show: `Python 3.11.x`
2. Common Issues:
- If you see "Python is not recognized": Restart your computer
- If you get package errors: Run `pip install --upgrade pip` first
Need help? [Open an issue](../../issues) and we'll assist you!
## For Developers
If you're a developer or want to contribute:
```bash
# Clone the repository
git clone https://github.com/yourusername/ALwrity.git
# Create virtual environment
python -m venv venv
# Activate virtual environment
# On Windows:
.\venv\Scripts\activate
# On Mac/Linux:
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
```
# ALwrity - AI Content Writing Assistant
## Quick Start Guide for Non-Technical Users
### Option 1: One-Click Installation (Recommended)
1. Download this project:
- Click the green "Code" button above
- Select "Download ZIP"
- Extract the ZIP file to your desired location (e.g., Desktop)
2. Run the installer:
- Double-click `install.bat` in the extracted folder
- If Windows asks for permission, click "Yes"
- Follow the on-screen instructions
- Wait for the installation to complete
3. Start ALwrity:
- Open Command Prompt (Windows + R, type "cmd", press Enter)
- Navigate to the ALwrity folder:
```
cd path\to\ALwrity
```
- Type `alwrity` and press Enter
### Option 2: Manual Installation
If the one-click installer doesn't work, follow these steps:
1. Install Python 3.11:
- Visit [Python 3.11.6 Download Page](https://www.python.org/downloads/release/python-3116/)
- Click "Windows installer (64-bit)"
- Run the installer
- ✅ IMPORTANT: Check "Add Python 3.11 to PATH"
- Click "Install Now"
- Wait for installation to complete
2. Install ALwrity:
- Open Command Prompt (Windows + R, type "cmd", press Enter)
- Navigate to the ALwrity folder:
```
cd path\to\ALwrity
```
- Run the installation:
```
python setup.py install
```
- Follow any on-screen instructions
3. Start ALwrity:
- In the same Command Prompt window, type:
```
alwrity
```
- Press Enter
### Troubleshooting Guide
#### Common Issues and Solutions:
1. "Python is not recognized"
- Solution: Restart your computer after installing Python
- Make sure you checked "Add Python 3.11 to PATH" during installation
2. "Visual C++ Build Tools not found"
- Solution: Run this command in an administrative PowerShell:
```
winget install Microsoft.VisualStudio.2022.BuildTools --silent --override "--wait --quiet --add Microsoft.VisualStudio.Workload.VCTools --includeRecommended"
```
3. "Rust compiler not found"
- Solution: Run these commands in PowerShell:
```
Invoke-WebRequest -Uri https://static.rust-lang.org/rustup/dist/x86_64-pc-windows-msvc/rustup-init.exe -OutFile rustup-init.exe
./rustup-init.exe -y
```
4. Installation Errors
- Check the `install_errors.log` file in the ALwrity folder
- Share the error message with our support team
#### Need Help?
- Open an issue on GitHub
- Join our support community
- Contact our support team
### System Requirements
- Windows 10 or later
- Python 3.11.x
- At least 4GB RAM
- 2GB free disk space
### First-Time Setup
After installation:
1. The first time you run ALwrity, it will ask for your API keys
2. Follow the on-screen instructions to enter your keys
3. Your keys will be saved securely for future use
### Updating ALwrity
To update to the latest version:
1. Download the latest release
2. Run `install.bat` again
3. Follow the on-screen instructions

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README.md
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# Alwrity: Redefining Content Lifecycle with AI
### 🚀 **ALwrity: Your All-in-One Content Platform** 🌟
![Alwrity Logo](https://github.com/AJaySi/AI-Writer/blob/main/lib/workspace/alwrity_logo.png)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
[![Streamlit](https://img.shields.io/badge/Streamlit-1.28+-red.svg)](https://streamlit.io/)
> **NOTE**
> *Alwrity is a comprehensive content lifecycle platform tailored for content creators, digital marketers, and writers — no prior AI knowledge required.*
> *Alwrity is a comprehensive content lifecycle platform tailored for content creators, digital marketers, and writers — no prior AI knowledge required.*
Alwrity streamlines every phase of the content lifecycle, from **planning and research** to **personalized content generation**, **SEO audits**, **publishing**, and **analytics**. Our mission is to empower creators with AI-driven tools that simplify content creation while maintaining quality.
## 📋 Table of Contents
Explore the building blocks of Alwrity and contribute to shaping the future of AI-driven content creation.
> **New Release**
> [*ALwrity AI story writer App*](https://storyme.app.io/)
Learn more about our journey: [What's Alwrity Up To?](https://www.alwrity.com/post/whats-alwrity-upto)
- [Overview](#overview)
- [Key Features](#key-features)
- [System Architecture](#system-architecture)
- [Getting Started](#getting-started)
- [Prerequisites](#prerequisites)
- [Installation](#installation)
- [Configuration](#configuration)
- [Usage Guide](#usage-guide)
- [AI Writers](#ai-writers)
- [SEO Tools](#seo-tools)
- [Social Media Tools](#social-media-tools)
- [Content Planning](#content-planning)
- [API Documentation](#api-documentation)
- [Contributing](#contributing)
- [Roadmap](#roadmap)
- [License](#license)
- [Acknowledgements](#acknowledgements)
---
## 🌟 Overview
Alwrity streamlines every phase of the content lifecycle, from **planning and research** to **personalized content generation**, **SEO audits**, **publishing**, and **analytics**. Our mission is to empower creators with AI-driven tools that simplify content creation while maintaining quality.
The platform integrates state-of-the-art AI technologies to provide a seamless content creation experience:
| **Content Category** | **Technologies/Models** |
|--------------------------|-------------------------------------------|
| Text Generation Models | OpenAI, Gemini, Anthropic |
| Image Creation Tools | Stability.ai |
| Speech-to-Text Systems | Whisper, AssemblyAI |
| AI-Powered Web Research | Tavily AI, exa AI, Serper.dev |
---
## 🚀 Key Features
### AI Writer Tools
- **AI Blog Writer**: Generate blog content based on web research
- **AI YouTube to Content Writer**: Transform YouTube videos into written content
- **AI Long Form Content**: Create detailed articles with proper structure
- **AI Story Writer**: Craft engaging narratives and stories
- **AI Email Writer**: Generate professional and business emails
- **AI LinkedIn Post Generator**: Create optimized LinkedIn content
- **AI Product Description Generator**: Write compelling product descriptions
### SEO Tools
- **Rich Snippet Generator**: Create structured data for better SERP visibility
- **On-Page SEO Analyzer**: Evaluate and optimize web pages
- **URL SEO Checker**: Assess URL structure and performance
- **Backlinking Tool**: Discover high-quality backlink opportunities
- **Image Alt Text Generator**: Create accessible image descriptions
- **Meta Description Generator**: Generate SEO-friendly meta descriptions
### Social Media Tools
- **X Tweet Generator**: Create engaging tweets
- **Instagram Caption Generator**: Write compelling Instagram captions
- **Facebook Post Generator**: Develop Facebook-optimized content
- **YouTube Content Tools**: Generate titles, descriptions, and scripts
### Content Planning
- **Content Calendar**: Plan content for weeks or months ahead
- **Blog Image Creation**: Generate images to complement your content
- **Agentic Content Creation**: Use AI agents for specialized content tasks
- **Web Research Integration**: Gather factual information for your content
## 🏗️ System Architecture
Alwrity is built with a modular architecture that enables flexibility and extensibility:
![Architecture Diagram](https://github.com/AJaySi/AI-Writer/docs/architecture/diagrams/high_level_architecture.png)
The platform consists of several key components:
1. **User Interface Layer**: Streamlit-based web interface
2. **Core Services Layer**: AI Writers, Web Research, SEO Tools, Analytics
3. **Data Storage Layer**: Vector Database (ChromaDB), Relational Database (SQLite)
4. **External Integrations Layer**: LLM Providers, Search Providers, Image Generation, Publishing Platforms
For more detailed architecture information, see the [Architecture Documentation](docs/architecture/index.rst).
## Getting Started with ALwrity: "AI at Every Stage of Content Lifecycle."
Alwrity empowers content creators, solopreneurs and digital marketers with cutting-edge tools for keyword research, AI-driven writing, and social media content generation. From creating high-quality copywriting frameworks to crafting engaging YouTube scripts, our platform simplifies every step of your content creation journey.
We seamlessly integrate state-of-the-art AI technologies, including:
| **Content Category** | **Technologies/Models** |
|--------------------------|-------------------------------------------|
| Text Generation Models | OpenAI, Gemini, Anthropic |
| Image Creation Tools | Stability.ai |
| Speech-to-Text Systems | Whisper, AssemblyAI |
| AI-Powered Web Research | Tavily AI, exa AI, Serper.dev |
By bringing these powerful solutions together, Alwrity ensures a streamlined workflow and exceptional output with minimal effort. Get ready to supercharge your content creation process!
---
> ![](https://github.com/AJaySi/AI-Writer/blob/main/lib/workspace/keyword_blog.gif)
---
@@ -46,48 +120,6 @@ By bringing these powerful solutions together, Alwrity ensures a streamlined wor
> <details>
> <summary>See Details</summary>
>
## Prerequisites
### Windows
- Python 3.10+ (3.12 recommended)
- Microsoft Visual C++ Build Tools 14.0 or greater
- Install with: `winget install Microsoft.VisualStudio.2022.BuildTools --silent --override "--wait --quiet --add Microsoft.VisualStudio.Workload.VCTools --includeRecommended"`
- Rust Compiler
- Install with: `Invoke-WebRequest -Uri https://static.rust-lang.org/rustup/dist/x86_64-pc-windows-msvc/rustup-init.exe -OutFile rustup-init.exe; ./rustup-init.exe -y`
### Linux
- Python 3.10+ (3.12 recommended)
- C/C++ compiler and development tools
- Install with: `sudo apt update && sudo apt install build-essential python3-dev`
- Rust Compiler
- Install with: `curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y; source $HOME/.cargo/env`
> ```
> 1). git clone https://github.com/AJaySi/AI-Writer.git
> 2). pip install -r requirements.txt
> 3). streamlit run alwrity.py
>
> 4). Visit Alwrity UI in a Browser & Start generation AI personalized content.
> ```
>
> ### System Dependencies
> ```
> You can run the install_dependencies.py script to check for system dependencies and assist with installation:
>
> python install_dependencies.py
> ```
> This script will help verify that all necessary system dependencies are installed and guide you through the installation process.
> ### Updating to latest Code: (Existing users)
> ```
> 1). Git pull
> 2). pip install -U -r requirements.txt
> 3). streamlit run alwrity.py
> ```
> </details>
> </p>
---
Still stuck, [Open issue here](https://github.com/AJaySi/AI-Writer/issues) & Someone will bail you out.
> ![Alwrity Documentation is here for more details](https://github.com/AJaySi/AI-Writer/wiki)
### ![List of all AI Tools & Features of Alwrity](https://github.com/AJaySi/AI-Writer/wiki/Features-of-ALwrity-AI-writer)
---
@@ -96,8 +128,74 @@ Still stuck, [Open issue here](https://github.com/AJaySi/AI-Writer/issues) & Som
- ![Specilized AI writers for every need & platform](https://github.com/AJaySi/AI-Writer/wiki/Features-of-ALwrity-AI-writer)
- ![ALwrity AI SEO Tools](https://github.com/AJaySi/AI-Writer/wiki/ALwrity-AI-SEO-Tools)
- ![ALwrity Web Researcher](https://github.com/AJaySi/AI-Writer/wiki/Alwrity-AI-Web-Research-Details-for-content-writing)
- RoadMap - Coming Soon..
- <em>Present Focus: Nextjs react Alwrity App - Coming Soon..</em>
---
## 📝 Usage Guide
### AI Writers
1. **Blog Writer**:
- Enter your target keywords
- Select blog type and length
- Choose whether to include web research
- Generate and edit your blog content
![Blog Writer Demo](https://github.com/AJaySi/AI-Writer/blob/main/lib/workspace/keyword_blog.gif)
2. **Long Form Content**:
- Provide a detailed topic
- Select content structure
- Generate comprehensive content with proper sections
- Edit and refine as needed
3. **Email Writer**:
- Select email type (professional, business, etc.)
- Enter recipient and purpose
- Generate appropriate email content
- Customize tone and style
### SEO Tools
1. **Rich Snippet Generator**:
- Enter your URL or content
- Select snippet type (FAQ, Product, etc.)
- Generate structured data
- Copy and implement on your website
2. **On-Page SEO Analyzer**:
- Enter your URL
- Receive comprehensive SEO analysis
- Get actionable recommendations
- Implement suggested changes
### Social Media Tools
1. **X Tweet Generator**:
- Enter topic or keywords
- Select tweet style
- Generate engaging tweets
- Schedule or post directly
2. **YouTube Script Generator**:
- Enter video topic
- Select video length and style
- Generate complete script with sections
- Export for recording
### Content Planning
1. **Content Calendar**:
- Enter your niche or industry
- Select timeframe (weeks/months)
- Generate content ideas with titles
- Export to your preferred format
2. **Web Research**:
- Enter research topic
- Select research depth
- Receive comprehensive research results
- Use in your content generation
---
@@ -238,216 +336,68 @@ Still stuck, [Open issue here](https://github.com/AJaySi/AI-Writer/issues) & Som
---
<details><summary><h3>Notes from underground:</h3></summary>
1). Focus is on writing/generating highly unique, SEO optimized blog content.
2). Models: Openai, gemini, ollama are interesting. Minstral API is also worth exploring. Cohere API is purpose made.
Focus is getting the prompts right. Shit in, shit out, irrespective of dollars and cutting edge models.
Pydantically speakng, Due to experimental nature of prompting, its getting expensive soon enough. Gemini is free for now.
3). Missing frontend: A smart backend will enable a good frontend. WIP, backend. So, frontend; coming soon.
4).Getting AI agents to 'brainstrom' blog ideas seems more pressing. CrewAI seems more straightforward than autogen.
5). Too Many APIs floating around: The implementation is using tools that dont depend on API keys and rather scrape them.
Duh, scraping wont scale, that is GPT vision based scraping will come in handy.
6). firecrawl is interesting, gpt-researcher is providing local docsqa.
7). Had to provide streamlit UI as Alwrity's audience arent comfortable with commandline.
8). Local folder RAG and Chat with your content, website is on the cards.
9). AI models are better, not sure until when 'Free' APIs will be "Free".
10). The code is always a mess, lot of changes happening..
11). Focus is to stop making any more AI content tools, but rather revisit & improve user experience & content quality.
12). To Err is Human & AI....
13). ....
</details>
## 📚 API Documentation
Alwrity provides a comprehensive API for programmatic access to its features. The API documentation is available at:
- [API Reference](docs/api/index.rst)
- [API Examples](docs/api/examples.rst)
## 🤝 Contributing
We welcome contributions to Alwrity! Please see our [Contributing Guide](CONTRIBUTING.md) for details on how to get started.
## 🗺️ Roadmap
- [Read Detailed Roadmap Here](Roadmap TBDs/ROADMAP.md)
- [ALwrity Roadmap](docs/roadmap.rst)
Our development roadmap includes:
- **Short-term (0-3 months)**:
- Enhanced multi-language support
- Improved image generation capabilities
- Additional AI model integrations
- **Medium-term (3-6 months)**:
- Advanced analytics dashboard
- Content performance tracking
- Collaborative editing features
- **Long-term (6+ months)**:
- NextJS React Alwrity App
- API-first architecture
- Enterprise features for teams
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🙏 Acknowledgements
Alwrity stands on the shoulders of giants:
- **APIs**:
- [Exa API](https://exa.ai/): Semantic search capabilities
- [Tavily API](https://tavily.com/): AI-powered web search
- [SerperDev API](https://serper.dev/): Search engine results
- [YOU.com](https://you.com/): Enhanced web search
- [Stability AI](https://stability.ai/): Image generation
- [OpenAI API](https://openai.com/): LLM capabilities
- [Gemini API](https://gemini.google.com/app): Google's LLM
- [Ollama](https://ollama.com/): Local LLM provider
- [CrewAI](https://www.crewai.com/): Collaborative AI agents
## 📞 Support
If you encounter any issues or have questions, please [open an issue](https://github.com/AJaySi/AI-Writer/issues) on GitHub.
---
#### LICENSE
> [!NOTE]<p><em>
> MIT License
>
> Copyright (c) 2024 Alwrity
>
> Permission is hereby granted, free of charge, to any person obtaining a copy
> of this software and associated documentation files (the "Software"), to deal
> in the Software without restriction, including without limitation the rights
> to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> copies of the Software, and to permit persons to whom the Software is
> furnished to do so, subject to the following conditions:
>
> The above copyright notice and this permission notice shall be included in all
> copies or substantial portions of the Software.
>
> THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
> IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
> FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
> AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
> LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
> OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
> SOFTWARE.
> </em></p>
<p align="center">
<a href="https://www.alwrity.com">Visit Alwrity.com</a> •
<a href="https://www.alwrity.com/ai-writing-tools">Try Free Tools</a> •
<a href="https://github.com/AJaySi/AI-Writer/wiki">Wiki</a>
</p>
## Easy Installation Guide for Content Creators
### Step 1: Install Python 3.11
1. Download Python 3.11 installer:
- Visit [Python 3.11.6 Download Page](https://www.python.org/downloads/release/python-3116/)
- Scroll down and click on "Windows installer (64-bit)"
- Save the file to your computer
2. Run the installer:
- Double click the downloaded file
- ✅ IMPORTANT: Check "Add Python 3.11 to PATH"
- Click "Install Now"
- Wait for installation to complete
- Click "Close"
### Step 2: Install ALwrity
1. Download this project:
- Click the green "Code" button above
- Select "Download ZIP"
- Extract the ZIP file to your desired location
2. Open Command Prompt:
- Press Windows + R
- Type "cmd" and press Enter
- Navigate to the extracted folder:
```
cd path\to\ALwrity
```
3. Run the automatic installer:
```
python setup.py install
```
### Troubleshooting
If you encounter any issues:
1. Make sure Python 3.11 is installed correctly:
- Open Command Prompt
- Type: `python --version`
- Should show: `Python 3.11.x`
2. Common Issues:
- If you see "Python is not recognized": Restart your computer
- If you get package errors: Run `pip install --upgrade pip` first
Need help? [Open an issue](../../issues) and we'll assist you!
## For Developers
If you're a developer or want to contribute:
```bash
# Clone the repository
git clone https://github.com/yourusername/ALwrity.git
# Create virtual environment
python -m venv venv
# Activate virtual environment
# On Windows:
.\venv\Scripts\activate
# On Mac/Linux:
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
```
# ALwrity - AI Content Writing Assistant
## Quick Start Guide for Non-Technical Users
### Option 1: One-Click Installation (Recommended)
1. Download this project:
- Click the green "Code" button above
- Select "Download ZIP"
- Extract the ZIP file to your desired location (e.g., Desktop)
2. Run the installer:
- Double-click `install.bat` in the extracted folder
- If Windows asks for permission, click "Yes"
- Follow the on-screen instructions
- Wait for the installation to complete
3. Start ALwrity:
- Open Command Prompt (Windows + R, type "cmd", press Enter)
- Navigate to the ALwrity folder:
```
cd path\to\ALwrity
```
- Type `alwrity` and press Enter
### Option 2: Manual Installation
If the one-click installer doesn't work, follow these steps:
1. Install Python 3.11:
- Visit [Python 3.11.6 Download Page](https://www.python.org/downloads/release/python-3116/)
- Click "Windows installer (64-bit)"
- Run the installer
- ✅ IMPORTANT: Check "Add Python 3.11 to PATH"
- Click "Install Now"
- Wait for installation to complete
2. Install ALwrity:
- Open Command Prompt (Windows + R, type "cmd", press Enter)
- Navigate to the ALwrity folder:
```
cd path\to\ALwrity
```
- Run the installation:
```
python setup.py install
```
- Follow any on-screen instructions
3. Start ALwrity:
- In the same Command Prompt window, type:
```
alwrity
```
- Press Enter
### Troubleshooting Guide
#### Common Issues and Solutions:
1. "Python is not recognized"
- Solution: Restart your computer after installing Python
- Make sure you checked "Add Python 3.11 to PATH" during installation
2. "Visual C++ Build Tools not found"
- Solution: Run this command in an administrative PowerShell:
```
winget install Microsoft.VisualStudio.2022.BuildTools --silent --override "--wait --quiet --add Microsoft.VisualStudio.Workload.VCTools --includeRecommended"
```
3. "Rust compiler not found"
- Solution: Run these commands in PowerShell:
```
Invoke-WebRequest -Uri https://static.rust-lang.org/rustup/dist/x86_64-pc-windows-msvc/rustup-init.exe -OutFile rustup-init.exe
./rustup-init.exe -y
```
4. Installation Errors
- Check the `install_errors.log` file in the ALwrity folder
- Share the error message with our support team
#### Need Help?
- Open an issue on GitHub
- Join our support community
- Contact our support team
### System Requirements
- Windows 10 or later
- Python 3.11.x
- At least 4GB RAM
- 2GB free disk space
### First-Time Setup
After installation:
1. The first time you run ALwrity, it will ask for your API keys
2. Follow the on-screen instructions to enter your keys
3. Your keys will be saved securely for future use
### Updating ALwrity
To update to the latest version:
1. Download the latest release
2. Run `install.bat` again
3. Follow the on-screen instructions
---

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@@ -0,0 +1,202 @@
# Contributing to AI-Writer
Thank you for your interest in contributing to AI-Writer! This document provides guidelines and instructions for contributing to the project.
## Table of Contents
- [Code of Conduct](#code-of-conduct)
- [Getting Started](#getting-started)
- [Development Environment](#development-environment)
- [Coding Standards](#coding-standards)
- [Pull Request Process](#pull-request-process)
- [Testing Guidelines](#testing-guidelines)
- [Documentation](#documentation)
- [Community](#community)
## Code of Conduct
By participating in this project, you agree to abide by our [Code of Conduct](CODE_OF_CONDUCT.md). Please read it before contributing.
## Getting Started
### Issues
- Check existing issues to see if your problem or idea has already been addressed.
- For bugs, create a new issue with a clear description, steps to reproduce, and relevant information about your environment.
- For feature requests, describe the feature, its benefits, and potential implementation approaches.
- Use issue templates when available.
### Feature Branches
- Fork the repository and create a feature branch from `main`.
- Use descriptive branch names: `feature/your-feature-name` or `fix/issue-description`.
- Keep branches focused on a single issue or feature.
## Development Environment
### Prerequisites
- Python 3.9 or higher
- Git
- A code editor (VS Code, PyCharm, etc.)
- Docker (optional, for containerized development)
### Setup
1. Clone the repository:
```bash
git clone https://github.com/AJaySi/AI-Writer.git
cd AI-Writer
```
2. Create a virtual environment:
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
4. Set up environment variables:
- Create a `.env` file in the project root
- Add necessary API keys and configuration (see `.env.example` for reference)
5. Initialize the database:
```bash
python -c "from lib.database.db_manager import init_db; init_db()"
```
6. Run the application:
```bash
streamlit run alwrity.py
```
## Coding Standards
### Style Guide
- Follow [PEP 8](https://www.python.org/dev/peps/pep-0008/) for Python code.
- Use 4 spaces for indentation (no tabs).
- Maximum line length is 100 characters.
- Use meaningful variable and function names.
### Documentation
- Use Google-style docstrings for all modules, classes, and functions.
- Include type hints in function signatures.
- Keep comments up-to-date with code changes.
Example:
```python
def generate_content(prompt: str, max_tokens: int = 100) -> str:
"""Generate content using the AI model.
Args:
prompt: The input prompt for content generation.
max_tokens: Maximum number of tokens to generate.
Returns:
The generated content as a string.
Raises:
ValueError: If the prompt is empty or max_tokens is negative.
"""
# Implementation...
```
### Error Handling
- Use specific exception types rather than generic exceptions.
- Include meaningful error messages.
- Log exceptions with appropriate context.
### Imports
- Group imports in the following order:
1. Standard library imports
2. Related third-party imports
3. Local application/library specific imports
- Within each group, imports should be sorted alphabetically.
## Pull Request Process
1. Ensure your code follows the project's coding standards.
2. Update documentation as necessary.
3. Add or update tests to cover your changes.
4. Ensure all tests pass.
5. Submit a pull request with a clear description of the changes and any relevant issue numbers.
6. Wait for review and address any feedback.
### Commit Messages
Follow the [Conventional Commits](https://www.conventionalcommits.org/) specification:
- `feat`: A new feature
- `fix`: A bug fix
- `docs`: Documentation changes
- `style`: Code style changes (formatting, etc.)
- `refactor`: Code changes that neither fix bugs nor add features
- `test`: Adding or updating tests
- `chore`: Changes to the build process or auxiliary tools
Example: `feat: add support for Google Gemini models`
## Testing Guidelines
### Writing Tests
- Write unit tests for all new functions and classes.
- Place tests in the `tests/` directory, mirroring the package structure.
- Use descriptive test names that explain what is being tested.
- Aim for at least 80% test coverage for new code.
### Running Tests
```bash
# Run all tests
pytest
# Run specific tests
pytest tests/path/to/test_file.py
# Run with coverage
pytest --cov=lib
```
## Documentation
### Code Documentation
- Document all public modules, classes, and functions.
- Keep docstrings up-to-date with code changes.
- Use type hints consistently.
### Project Documentation
- Update README.md with new features or changes.
- Update installation and usage instructions as needed.
- For significant changes, update the documentation in the `docs/` directory.
## Community
### Communication Channels
- GitHub Issues: For bug reports and feature requests
- Discussions: For general questions and discussions
- Pull Requests: For code contributions
### Recognition
All contributors will be recognized in the project's CONTRIBUTORS.md file.
## Additional Resources
- [Project Roadmap](docs/roadmap.rst)
- [Architecture Documentation](docs/architecture/index.rst)
- [API Reference](docs/api/index.rst)
Thank you for contributing to AI-Writer!

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# Onboarding Process Improvements
This document outlines a comprehensive plan to improve the user onboarding experience in AI-Writer, focusing on the API key management and initial setup process.
## Current Issues
After analyzing the current onboarding process in `utils.api_key_manager`, several issues were identified:
### User Experience Issues
- **Complex Multi-step Process**: The onboarding is split across multiple steps without clear indication of progress or purpose
- **Confusing Navigation**: Users can get lost between steps with no clear path forward
- **Required vs. Optional**: No clear distinction between required and optional API keys
- **No Skip Option**: Users must go through all steps even if some are not relevant to them
- **Limited Guidance**: Insufficient contextual help for users unfamiliar with API keys
### Technical Issues
- **Inconsistent State Management**: Wizard state is initialized in multiple places
- **Basic Validation**: API keys are only checked for non-emptiness, not actual validity
- **Environment Variable Handling**: Not robust across different environments
- **Error Handling**: Inconsistent error handling and user feedback
- **No Testing Mechanism**: No way to test API keys during setup
### UI/Design Issues
- **Inconsistent Styling**: Visual inconsistency across different components
- **Poor Mobile Experience**: Limited responsiveness for mobile users
- **Visual Hierarchy**: Lack of clear visual distinction for important elements
- **Help Text Visibility**: Instructions and help text are not prominent enough
## Proposed Improvements
### 1. Redesigned Onboarding Flow
#### Welcome Screen
```
┌─────────────────────────────────────────────────────┐
│ │
│ Welcome to AI-Writer! 👋 │
│ │
│ Let's get you set up in just a few minutes. │
│ │
│ What would you like to do? │
│ │
│ ○ Quick Start (minimal setup) │
│ ○ Complete Setup (all features) │
│ ○ Import Configuration │
│ │
│ [Start Setup] │
│ │
└─────────────────────────────────────────────────────┘
```
#### API Key Setup Screen
```
┌─────────────────────────────────────────────────────┐
│ │
│ Step 1 of 4: Connect AI Models │
│ ━━━━━━━━━━○○○○ │
│ │
│ Required (choose at least one): │
│ ┌─────────────────────────────────────────────┐ │
│ │ ⭐ OpenAI API Key │ │
│ │ [••••••••••••••••••] │ │
│ │ ✓ Validated successfully! │ │
│ └─────────────────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────┐ │
│ │ ⭐ Google Gemini API Key │ │
│ │ [ ] │ │
│ │ Not configured (optional) │ │
│ └─────────────────────────────────────────────┘ │
│ │
│ Optional: │
│ ┌─────────────────────────────────────────────┐ │
│ │ Anthropic API Key (Coming Soon) │ │
│ │ [ ] │ │
│ └─────────────────────────────────────────────┘ │
│ │
│ [Skip Optional] [Test Keys] [Continue →] │
│ │
└─────────────────────────────────────────────────────┘
```
#### Progress Summary Screen
```
┌─────────────────────────────────────────────────────┐
│ │
│ Setup Complete! 🎉 │
│ │
│ Here's your configuration: │
│ │
│ AI Models: │
│ ✅ OpenAI API - Connected │
│ ❌ Google Gemini - Not configured │
│ │
│ Research Tools: │
│ ✅ Tavily Search - Connected │
│ ❌ Serper API - Not configured │
│ │
│ Publishing: │
│ ❌ WordPress - Not configured │
│ │
│ You can change these settings anytime from │
│ the Settings menu. │
│ │
│ [Edit Configuration] [Start Using AI-Writer] │
│ │
└─────────────────────────────────────────────────────┘
```
### 2. Technical Improvements
#### Unified State Management
```python
# Create a dedicated state manager class
class OnboardingStateManager:
"""Manages the state of the onboarding process."""
def __init__(self):
"""Initialize the onboarding state."""
if 'onboarding_state' not in st.session_state:
st.session_state.onboarding_state = {
'current_step': 1,
'total_steps': 4,
'completed_steps': set(),
'api_keys': {},
'validated_keys': {},
'setup_mode': 'quick_start', # or 'complete'
'setup_complete': False
}
def get_state(self):
"""Get the current onboarding state."""
return st.session_state.onboarding_state
def update_state(self, updates):
"""Update the onboarding state."""
st.session_state.onboarding_state.update(updates)
def next_step(self):
"""Move to the next step."""
current = st.session_state.onboarding_state['current_step']
total = st.session_state.onboarding_state['total_steps']
if current < total:
st.session_state.onboarding_state['current_step'] += 1
st.session_state.onboarding_state['completed_steps'].add(current)
def previous_step(self):
"""Move to the previous step."""
if st.session_state.onboarding_state['current_step'] > 1:
st.session_state.onboarding_state['current_step'] -= 1
def skip_to_step(self, step):
"""Skip to a specific step."""
if 1 <= step <= st.session_state.onboarding_state['total_steps']:
st.session_state.onboarding_state['current_step'] = step
def mark_complete(self):
"""Mark the onboarding as complete."""
st.session_state.onboarding_state['setup_complete'] = True
```
#### Enhanced API Key Validation
```python
async def validate_api_key(service, key):
"""Validate an API key by making a test request."""
try:
if service == "openai":
# Test OpenAI API key with a minimal request
import openai
client = openai.OpenAI(api_key=key)
response = await client.models.list()
return {"valid": True, "models": [model.id for model in response.data[:5]]}
elif service == "gemini":
# Test Google Gemini API key
import google.generativeai as genai
genai.configure(api_key=key)
models = genai.list_models()
return {"valid": True, "models": [model.name for model in models]}
elif service == "tavily":
# Test Tavily API key
import requests
response = requests.get(
"https://api.tavily.com/health",
headers={"x-api-key": key}
)
if response.status_code == 200:
return {"valid": True, "status": "healthy"}
else:
return {"valid": False, "error": f"Status code: {response.status_code}"}
# Add more services as needed
except Exception as e:
return {"valid": False, "error": str(e)}
```
#### Secure API Key Storage
```python
def save_api_keys(keys_dict):
"""Save API keys securely."""
try:
# 1. Save to .env file
env_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), '.env')
# Read existing .env file
env_contents = {}
if os.path.exists(env_path):
with open(env_path, 'r') as f:
for line in f:
if '=' in line:
key, value = line.strip().split('=', 1)
env_contents[key] = value
# Update with new keys
for key_name, key_value in keys_dict.items():
if key_value: # Only save non-empty keys
env_key = f"{key_name.upper()}_API_KEY"
env_contents[env_key] = key_value
# Write back to .env file
with open(env_path, 'w') as f:
for key, value in env_contents.items():
f.write(f"{key}={value}\n")
# 2. Also store in session state for immediate use
for key_name, key_value in keys_dict.items():
if key_value:
st.session_state[f"{key_name}_api_key"] = key_value
# 3. Set environment variables for current session
for key_name, key_value in keys_dict.items():
if key_value:
os.environ[f"{key_name.upper()}_API_KEY"] = key_value
return True
except Exception as e:
logger.error(f"Error saving API keys: {str(e)}")
return False
```
### 3. UI/UX Improvements
#### Responsive Design
```python
def render_responsive_layout():
"""Render a responsive layout that works on mobile and desktop."""
# Check viewport width
st.markdown("""
<script>
var width = window.innerWidth;
if (width < 768) {
document.documentElement.style.setProperty('--layout', 'mobile');
} else {
document.documentElement.style.setProperty('--layout', 'desktop');
}
</script>
<style>
/* Mobile-first styles */
.container {
padding: 1rem;
margin-bottom: 1rem;
}
/* Desktop adjustments */
@media (min-width: 768px) {
.container {
padding: 2rem;
margin-bottom: 2rem;
}
}
</style>
""", unsafe_allow_html=True)
```
#### Visual Hierarchy for Required vs Optional
```python
def render_api_key_input(label, key_name, required=False, help_text=""):
"""Render an API key input with clear visual hierarchy."""
# Add required indicator if needed
display_label = f"{label} {'*' if required else '(optional)'}"
# Get existing value from session state or environment
existing_value = st.session_state.get(f"{key_name}_api_key", "") or os.getenv(f"{key_name.upper()}_API_KEY", "")
# Render the input with appropriate styling
st.markdown(f"""
<div class="api-key-input {'required' if required else 'optional'}">
<label>{display_label}</label>
<div class="input-help-text">{help_text}</div>
</div>
""", unsafe_allow_html=True)
# The actual input field
value = st.text_input(
label="", # Empty because we use custom label above
value=existing_value,
type="password",
key=f"input_{key_name}",
label_visibility="collapsed"
)
# Validation status
if value:
is_valid = key_name in st.session_state.get("validated_keys", {})
if is_valid:
st.success(f"{label} validated successfully")
else:
st.info(f"⚠️ {label} not validated yet")
return value
```
#### Interactive Help and Tooltips
```python
def render_help_section(service):
"""Render an interactive help section for getting API keys."""
help_content = {
"openai": {
"title": "How to get your OpenAI API key",
"steps": [
"Go to [OpenAI's website](https://platform.openai.com)",
"Sign up or log in to your account",
"Navigate to the API section",
"Click 'Create new secret key'",
"Copy the generated key and paste it here"
],
"note": "Keep your API key secure and never share it publicly.",
"pricing": "$0.002 per 1K tokens for GPT-3.5, $0.06 per 1K tokens for GPT-4",
"link": "https://platform.openai.com/account/api-keys"
},
"gemini": {
"title": "How to get your Google Gemini API key",
"steps": [
"Visit [Google AI Studio](https://makersuite.google.com/app/apikey)",
"Sign in with your Google account",
"Click 'Create API key'",
"Copy the generated key and paste it here"
],
"note": "Make sure to enable the Gemini API in your Google Cloud Console.",
"pricing": "Free tier available, then $0.0025 per 1K tokens",
"link": "https://makersuite.google.com/app/apikey"
}
# Add more services as needed
}
if service in help_content:
content = help_content[service]
with st.expander(f"📋 {content['title']}", expanded=False):
st.markdown("**Step-by-step guide:**")
for i, step in enumerate(content["steps"], 1):
st.markdown(f"{i}. {step}")
st.markdown(f"**Note:** {content['note']}")
st.markdown(f"**Pricing:** {content['pricing']}")
st.markdown(f"[Get your API key here]({content['link']})")
```
### 4. Implementation Plan
#### Phase 1: Core Improvements
1. **Create Unified State Manager**
- Implement the `OnboardingStateManager` class
- Refactor existing code to use the new state manager
- Add proper state persistence
2. **Enhance API Key Validation**
- Implement real validation for each service
- Add visual feedback for validation status
- Create a "Test All Keys" function
3. **Improve Navigation**
- Redesign step indicator with clear labels
- Add skip options for optional steps
- Implement a "Quick Start" mode
#### Phase 2: UI/UX Enhancements
1. **Redesign Input Components**
- Create clear visual hierarchy
- Add responsive design for mobile
- Implement interactive help sections
2. **Create Summary Screens**
- Add welcome screen with setup options
- Implement completion summary screen
- Add configuration export/import
3. **Enhance Visual Design**
- Update color scheme for better accessibility
- Add animations for transitions
- Implement progress indicators
#### Phase 3: Advanced Features
1. **Guided Tours**
- Add interactive tutorials
- Create contextual help popups
- Implement feature discovery
2. **Smart Defaults**
- Suggest configurations based on user needs
- Implement templates for common use cases
- Add recommended settings
3. **Troubleshooting Assistance**
- Add automatic error detection
- Create guided troubleshooting flows
- Implement self-healing for common issues
## Code Implementation Examples
### Welcome Screen Component
```python
def render_welcome_screen():
"""Render the welcome screen for onboarding."""
st.markdown("""
<div class="welcome-container">
<h1>Welcome to AI-Writer! 👋</h1>
<p class="welcome-subtitle">Let's get you set up in just a few minutes.</p>
</div>
""", unsafe_allow_html=True)
# Setup mode selection
setup_mode = st.radio(
"What would you like to do?",
options=["Quick Start (minimal setup)",
"Complete Setup (all features)",
"Import Configuration"],
index=0,
key="setup_mode_selection"
)
# Store the selection in state
if "onboarding_state" in st.session_state:
st.session_state.onboarding_state["setup_mode"] = setup_mode.split(" ")[0].lower()
# Start button
if st.button("Start Setup", use_container_width=True, type="primary"):
if "onboarding_state" in st.session_state:
st.session_state.onboarding_state["current_step"] = 1
st.rerun()
```
### API Key Manager Component
```python
def render_api_key_manager():
"""Render the improved API key manager."""
# Get state manager
state_manager = OnboardingStateManager()
state = state_manager.get_state()
# Render step indicator
render_step_indicator(state["current_step"], state["total_steps"])
# Render appropriate step based on current_step
if state["current_step"] == 1:
render_ai_providers_step(state_manager)
elif state["current_step"] == 2:
render_research_tools_step(state_manager)
elif state["current_step"] == 3:
render_publishing_step(state_manager)
elif state["current_step"] == 4:
render_summary_step(state_manager)
# Render navigation buttons
render_navigation_buttons(state_manager)
```
### Improved AI Providers Step
```python
def render_ai_providers_step(state_manager):
"""Render the improved AI providers setup step."""
st.markdown("## Step 1: Connect AI Models")
st.markdown("Configure the AI models you want to use for content generation.")
# Create tabs for required vs optional
tab1, tab2 = st.tabs(["Required (at least one)", "Optional Models"])
with tab1:
col1, col2 = st.columns(2)
with col1:
# OpenAI
openai_key = render_api_key_input(
"OpenAI API Key",
"openai",
required=True,
help_text="Powers GPT-3.5 and GPT-4 models"
)
render_help_section("openai")
with col2:
# Google Gemini
gemini_key = render_api_key_input(
"Google Gemini API Key",
"gemini",
required=False,
help_text="Powers Gemini Pro models"
)
render_help_section("gemini")
with tab2:
col1, col2 = st.columns(2)
with col1:
# Anthropic
anthropic_key = render_api_key_input(
"Anthropic API Key",
"anthropic",
required=False,
help_text="Powers Claude models"
)
render_help_section("anthropic")
with col2:
# Mistral
mistral_key = render_api_key_input(
"Mistral API Key",
"mistral",
required=False,
help_text="Powers Mistral models"
)
render_help_section("mistral")
# Test keys button
if st.button("Test API Keys", use_container_width=True):
with st.spinner("Testing API keys..."):
# Test each provided key
results = {}
if openai_key:
results["openai"] = asyncio.run(validate_api_key("openai", openai_key))
if gemini_key:
results["gemini"] = asyncio.run(validate_api_key("gemini", gemini_key))
if anthropic_key:
results["anthropic"] = asyncio.run(validate_api_key("anthropic", anthropic_key))
if mistral_key:
results["mistral"] = asyncio.run(validate_api_key("mistral", mistral_key))
# Store validation results
state_manager.update_state({"validated_keys": results})
# Display results
for service, result in results.items():
if result.get("valid", False):
st.success(f"{service.title()} API key is valid")
else:
st.error(f"{service.title()} API key is invalid: {result.get('error', 'Unknown error')}")
# Save keys to state
api_keys = {
"openai": openai_key,
"gemini": gemini_key,
"anthropic": anthropic_key,
"mistral": mistral_key
}
state_manager.update_state({"api_keys": api_keys})
# Check if we have at least one valid key
has_valid_key = any([
openai_key and state_manager.get_state().get("validated_keys", {}).get("openai", {}).get("valid", False),
gemini_key and state_manager.get_state().get("validated_keys", {}).get("gemini", {}).get("valid", False)
])
if not has_valid_key and (openai_key or gemini_key):
st.warning("Please test your API keys before continuing")
```
## Benefits of Improved Onboarding
1. **Increased User Retention**
- Smoother onboarding leads to higher completion rates
- Clear guidance reduces frustration and abandonment
- Faster time-to-value improves user satisfaction
2. **Reduced Support Burden**
- Better self-service options decrease support tickets
- Clearer instructions prevent common setup issues
- Automated validation catches problems early
3. **Higher Feature Adoption**
- Users understand available features better
- Guided setup encourages exploration of capabilities
- Contextual help improves feature discovery
4. **Improved User Experience**
- Consistent design creates a professional impression
- Responsive layout works across all devices
- Intuitive navigation reduces cognitive load
5. **Better Data Quality**
- Proper validation ensures working API keys
- Clear requirements improve data completeness
- Structured setup leads to better configuration
## Implementation Timeline
- **Week 1**: Design and prototype core improvements
- **Week 2**: Implement unified state management and API validation
- **Week 3**: Develop UI components and responsive design
- **Week 4**: Create welcome and summary screens
- **Week 5**: Add help content and contextual assistance
- **Week 6**: Testing, refinement, and documentation
## Conclusion
The proposed improvements to the onboarding process will significantly enhance the user experience for new AI-Writer users. By implementing a more intuitive, guided, and responsive setup flow, we can increase user retention, reduce support needs, and help users get value from the platform faster.
These changes represent a comprehensive overhaul of the current system, addressing both technical and user experience issues while maintaining compatibility with the existing codebase.

250
Roadmap TBDs/ROADMAP.md Normal file
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# AI-Writer Public Roadmap
This roadmap outlines the planned features and improvements for the AI-Writer platform. It provides transparency into our development priorities and gives users insight into upcoming capabilities.
## 🚦 Roadmap Status Indicators
- 🟢 **In Progress**: Currently being developed
- 🟡 **Planned**: Scheduled for upcoming development cycles
- 🔵 **Researching**: Under investigation and evaluation
-**Completed**: Released and available
## 🗓️ Q2 2025 (April - June)
### Core Platform
- 🟢 **Performance Optimization**
- Reduce content generation time by 30%
- Optimize memory usage for large content pieces
- Implement caching for frequently used research data
- 🟡 **Multi-language Support**
- Add support for Spanish, French, and German content generation
- Implement language-specific research capabilities
- Create language-specific SEO optimization
- 🟡 **User Interface Refresh**
- Redesign main dashboard for improved usability
- Implement dark mode
- Add customizable workspace layouts
### AI Writers
- 🟢 **Enhanced Blog Writer**
- Add support for more blog formats (listicles, how-to guides, etc.)
- Implement advanced outline generation
- Add competitor content analysis
- 🟡 **AI Script Writer**
- Create specialized writer for video scripts
- Support multiple video formats (YouTube, TikTok, Instagram)
- Add scene breakdown and shot suggestions
- 🟡 **Technical Content Writer**
- Specialized writer for technical documentation
- Code snippet generation and formatting
- Technical accuracy verification
### Research & SEO
- 🟢 **Advanced Web Research**
- Implement multi-source research aggregation
- Add research depth controls
- Improve citation and source tracking
- 🟡 **Semantic SEO Tools**
- Entity-based content optimization
- Topic cluster mapping
- Natural language query optimization
- 🔵 **Competitive Analysis Tools**
- Analyze top-ranking content for target keywords
- Identify content gaps and opportunities
- Generate differentiation strategies
## 🗓️ Q3 2025 (July - September)
### Core Platform
- 🟡 **Collaboration Features**
- Multi-user editing capabilities
- Role-based access control
- Comment and feedback system
- 🟡 **Content Versioning**
- Track content revisions
- Compare different versions
- Restore previous versions
- 🔵 **Analytics Dashboard**
- Content performance tracking
- Usage statistics and insights
- AI model performance metrics
### AI Writers
- 🟡 **E-commerce Content Suite**
- Enhanced product description generator
- Category page content creator
- Product comparison generator
- 🟡 **AI Newsletter Writer**
- Email newsletter templates
- Subscriber segmentation support
- A/B testing headline generator
- 🔵 **Interactive Content Generator**
- Quiz and poll creator
- Interactive calculator generator
- Decision tree content builder
### Research & SEO
- 🟡 **AI-Powered Content Audit**
- Analyze existing content
- Identify improvement opportunities
- Generate update recommendations
- 🟡 **Local SEO Tools**
- Location-based content optimization
- Local business schema generator
- Regional keyword research
- 🔵 **Content Distribution Planner**
- Channel-specific content adaptation
- Publishing schedule optimizer
- Cross-platform content strategy
## 🗓️ Q4 2025 (October - December)
### Core Platform
- 🟡 **API Expansion**
- Comprehensive REST API
- Webhook integrations
- Developer documentation and SDKs
- 🟡 **Enterprise Features**
- SSO integration
- Advanced security controls
- Custom branding options
- 🔵 **AI Workflow Automation**
- Custom workflow builder
- Scheduled content generation
- Conditional content processing
### AI Writers
- 🟡 **AI Book Writer**
- Long-form content organization
- Chapter planning and generation
- Book formatting and structure
- 🟡 **AI Course Creator**
- Educational content generator
- Lesson plan development
- Quiz and assessment creator
- 🔵 **Multimedia Content Generator**
- Integrated image generation
- Infographic creator
- Audio content generator
### Research & SEO
- 🟡 **AI Research Assistant**
- Conversational research interface
- Deep research capabilities
- Research summarization and extraction
- 🟡 **International SEO Tools**
- Multi-language keyword research
- International content optimization
- Hreflang tag generator
- 🔵 **Predictive Content Performance**
- AI-powered performance prediction
- Content improvement recommendations
- Trend analysis and forecasting
## 🗓️ 2026 and Beyond
### Core Platform
- 🔵 **NextJS React Application**
- Complete frontend rebuild
- Enhanced performance and responsiveness
- Progressive web app capabilities
- 🔵 **AI Agent Ecosystem**
- Specialized AI agents for different tasks
- Agent collaboration framework
- Custom agent creation
- 🔵 **Advanced Personalization**
- User behavior-based recommendations
- Personalized content generation
- Learning from user preferences
### AI Writers
- 🔵 **Multimodal Content Creation**
- Integrated text, image, and video generation
- Cross-format content consistency
- Single-prompt multi-format generation
- 🔵 **Industry-Specific Writers**
- Legal content generator
- Medical content writer
- Financial content creator
- 🔵 **Real-time Collaborative Writing**
- Multi-user simultaneous editing
- AI-assisted collaboration
- Role-based collaborative workflows
### Research & SEO
- 🔵 **Real-time Content Optimization**
- Live SEO feedback during writing
- Instant research integration
- Dynamic content suggestions
- 🔵 **Comprehensive Analytics Suite**
- Advanced content performance tracking
- Conversion attribution
- ROI calculation and reporting
- 🔵 **AI-Driven Content Strategy**
- Content gap analysis
- Opportunity identification
- Automated content planning
## ✅ Recently Completed
-**Google Gemini Integration** - Added support for Google's Gemini Pro model
-**AI News Article Writer** - Specialized writer for news content with citation support
-**ChromaDB Vector Storage** - Implemented vector database for semantic search capabilities
-**Tavily AI Research Integration** - Added support for AI-powered web research
-**Streamlit UI Improvements** - Enhanced user interface with better navigation and controls
## 🤝 Community Contributions
We welcome community contributions to the AI-Writer platform! If you're interested in contributing to any of the features on our roadmap or have ideas for new features, please:
1. Check our [Contributing Guidelines](CONTRIBUTING.md)
2. Open an issue to discuss your proposed feature or improvement
3. Submit a pull request with your implementation
## 📝 Feedback
Your feedback is essential in shaping the future of AI-Writer. If you have feature requests, suggestions, or feedback on existing features, please:
- Open an issue on GitHub
- Join our [community forum](https://alwrity.com)
- Contact us directly at info@alwrity.com
---
*Note: This roadmap is subject to change based on user feedback, technological developments, and strategic priorities. Last updated: April 18, 2025*

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FROM python:3.12
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
EXPOSE 8501
CMD ["streamlit", "run", "alwrity.py"]

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version: '3.8'
services:
app:
image: python:3.12
working_dir: /app
volumes:
- .:/app
command: bash -c "pip install -r requirements.txt && streamlit run alwrity.py"
ports:
- "8501:8501"