SystemSculpt AI Roadmap

Implement advanced text embeddings for enhanced AI understanding

The Embeddings Module will significantly improve the AI's ability to understand and process text by converting words and phrases into numerical vectors. This will enhance the quality of AI-generated content, improve search capabilities, and enable more sophisticated text analysis across all modules.

Generate high-quality SystemSculpt templates based on user input

The AI Template Generator will create custom, high-quality SystemSculpt templates from scratch. Users can input their expected context and desired output, and the AI will generate an optimized template. This feature will streamline the template creation process and help users leverage SystemSculpt's capabilities more effectively.

Improve transcription accuracy with AI-powered word corrections

This feature will use AI to analyze and correct potential errors in Whisper transcriptions. By leveraging context and language understanding, it will significantly improve the accuracy of transcribed text, especially for technical or domain-specific content.

AI-powered fuzzy finder for intelligent content discovery

Smart Search will combine the power of fuzzy finding, ripgrep, and fzf with AI capabilities to create a superior search experience. It will understand context, semantics, and user intent to provide more accurate and relevant search results within your Obsidian vault.

AI-driven personalized task management and goal achievement

This complete revamp of our Tasks Module leverages AI and your local Obsidian knowledge to create a smart system that organizes, reminds, updates, and motivates you to achieve your goals and daily tasks. By understanding your personal context, it creates tailored plans and strategies to boost your productivity and success.

Enable AI to retrieve and utilize vault-wide information

RAG will allow the AI to dynamically access and incorporate relevant information from across your entire vault when generating responses. This will result in more informed, contextually appropriate, and high-quality AI-generated content, greatly enhancing the AI's ability to assist with complex queries and tasks.

Intelligently combine similar files for better organization

The Smart File Joiner will analyze and combine multiple similar files into a single, well-organized document. This AI-powered feature will identify common themes, remove redundancies, and structure the content logically. It aims to improve context retention and streamline your knowledge base, making it easier to manage and navigate complex information across multiple files.

Force all operations to be completely local with a simple toggle

The "Lockdown Local" mode will provide users with a simple toggle to ensure all operations are performed locally on their device. This feature will enhance privacy and security by preventing any data from being sent to external servers, giving users complete control over their information.

Implement on-device audio transcription using Whisper

By integrating local Whisper transcription, we'll enable fast, accurate, and private audio-to-text conversion directly on your device. This will enhance the Recorder Module's capabilities, allowing for efficient transcription of audio notes and recordings without relying on external services.

Display estimated API request costs before proceeding

This feature will show users the estimated cost of an API request before it's sent. A confirmation pop-up will display the rough cost and ask whether the user wants to proceed. This will help users manage their API usage and associated costs more effectively.

Intelligent model selection for optimal task performance

The "Master Key" mode, available as a monthly subscription, allows users to disable all model switching, context window changing, and max tokens settings. Instead, SystemSculpt AI will automatically choose the best, most intelligent model for whatever task you're looking to accomplish, ensuring optimal performance and results.

Enhance transcriptions with AI-driven post-processing

Post-prompting will allow users to refine and enhance their transcriptions using AI. This feature will enable tasks such as summarization, formatting improvements, and extraction of key points from transcribed text, making it easier to integrate audio content into your knowledge management workflow.