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brainful introduces a sophisticated quality assessment system that delivers real-time analytical feedback. This advanced framework evaluates responses through our proprietary VUN framework (Validity, Utility, Novelty), providing comprehensive metrics and detailed recommendations to systematically enhance content quality, reach, and effectiveness.

brainful is now able to analyse and recommend revised feature suggestions for improvements across quality, applicability, and originality of your block features. Whenever suggestions are ready, you will see a coloured checkmark or crossmark indictor to indicate the current state of your feature. Hovering over this indicator will show you any suggestions that have been made and the grounds for the suggestion.

We all know how frustrating it can be to get stuck in the middle of writing, or, have so much to say that you can't get it all out fast enough. Today, we are introducing brainful copilot. brainful copilot is a real time prediction engine that provides multi-line context-free and context-sensitive completions across all blocks.

The internet is the most ubiqituous store of information. Starting now, brainful is finally changing how we find information. We have finally introduced a set of tools that give brainful AI real time internet access. Over time, we will be indexing the web with a focus on high quality sources to augment the general intelligence of brainful as well as enabling brainful AI to assist in research-oriened workflows that require up to date information or citation-based responses.

brainful AI will automatically search the web when it deems necessary. You can also explicitly tell brainful AI to search the web or go to specific URLs for more focused responses.

We have introduced a sophisticated model for memory utilising extended finite state machines (FSMS) to ensure AI never loses context, can handle multiple simultaneous chains of thought in separate memory models, as well as allowing for more intricate and agent-feedback cycle workflows for higher quality responses.

We have finally introduced passkeys to brainful. This is the recommended authentication method for all users. Enabling passkeys will allow you to disable password based authentication, and alongside it, many of the vulnerabilities that conventional passwords are susceptible to such as brute force or phishing.

Enable passkeys by going to your account settings and going to the account security tab.

We have added TOTP verification, alongside email OTP verification to add an extra layer of security to your account. Previously, your account was protected exclusively by behavioural and environmental factors to prompt for MFA, now, you have the option to force an additional layer of MFA on login.

We have also added further environment security measures to prevent phising or man-in-the-middle attacks by assigning a state of the art, unique rotating time sensitive hardware and software fingerprint to your session to make it extremely difficult for an adversary to gain remote access to your account.

Migrated vector search from Neo4J to PostgreSQL with pg_vector for improved performance and reliability. Enhanced security with TOTP verification and geographic restrictions. Touch screen support now includes full drag and drop functionality for block panels, making brainful more accessible on all devices.

We have recreated the block panel drag, drop, and resize experience as well as making the syncing of the position and size states more reliable.

We have also added support for touchscreens in the main app. This includes full drag and drop support for block panels and the ability to resize blocks by dragging the edges.

Enhanced markdown support with syntax highlighting for better writing experience. Revamped editor hierarchy visualization and improved Readwise sync reliability. Block panel tabs now show identifiers when panels overlap, making it easier to navigate complex workspaces.

Complete refactoring to a singular block-based architecture, removing the Node model for improved simplicity and performance. Enhanced block editor experience with better outliner functionality and more reliable block linking. Vector search improvements make finding related content faster and more accurate.

Focused on core stability and performance optimizations. Infrastructure improvements laid the groundwork for the major architectural changes coming in April. Behind-the-scenes enhancements to prepare for the unified block system.

Introduced support for dragging block panels and multi-panel rendering, allowing you to work with multiple blocks side by side. Google Drive integration enables importing documents directly into your knowledge space. Improved project configuration system for better customization.

Introduced graph visualization for exploring connections between blocks. Migrated from Daphne to Uvicorn for better concurrency and faster response times. Enhanced entity sanitization and improved loading speeds across the platform. Added support for recovery email and dynamic settings.

Upgraded to Python 3.12 for improved performance and modern language features. Fixed UI bugs in graph view and buffer list. Enhanced testing infrastructure to ensure reliability across all features.

Testing and refining the markdown editor experience. Focused on editor stability and performance improvements to ensure smooth writing workflows.

Major improvements to sync reliability and speed. Introduced archive block type for file storage. Enhanced block recognition algorithms and improved the panel interface for adding new blocks.

Fixed image rendering and improved block syncing speed. Enhanced text autocomplete functionality and Readwise synchronization. Improved public/private sharing controls for better privacy management.

Moved content screening to background tasks for better performance. Minor UI improvements and integration of Tailwind CSS for more consistent styling.

Major improvements to block editor reliability. Added query predictions to the web interface for faster navigation. Enhanced API functionality and improved deletion workflows.

Moved block recommendations to API for better performance. Updated translations and began simplifying the list view interface.

Fixed background worker issues and improved entity list performance. Continued migration to block architecture for the recommendation engine. Optimized template rendering for faster page loads.

Enhanced debugging tools and began migration to block architecture. Fixed several bugs in the development environment and improved continuous integration workflows.

Major UI transition to Tailwind CSS for better maintainability. Began support for internationalization with English and Spanish. Improved deletion and recovery workflows for blocks.

Major authentication experience improvements with security-focused API credentials management. Added session-authenticated POST requests and optimized background tasks. Introduced data purging system for stale content.

Simplified the user interface to focus on essential elements. Improved test coverage for tags and added line numbers to the editor. Fixed bugs related to adding new blocks and introduced block loading by ID.

brainful was born on December 20, 2022. Initial features included user authentication, file uploads, and a daily notes system. Dark mode UI, rich-text editing, and basic search functionality laid the foundation. OpenAI integration for note previews and auto-tagging for videos showed the AI-first vision from day one.