Track our journey as we continuously evolve and enhance Delaverse AI with new features, updates, and improvements to empower your workflows.
Introduced enterprise-grade local LLM framework for secure, on-premise AI deployment with advanced reasoning and customization.
Launched Delaverse Studio, a comprehensive platform for creating professional image and video content using cutting-edge AI models.
Introduced Delaverse Voice Assistant for real-time phone-based customer support using AI.
Added company-level credit and usage control system for enterprise accounts.
Upgraded referral and credit dashboard for transparent tracking and claim management.
Delaverse Playground is now fully English and LTR. Enhanced performance and accessibility for global users.
Activated web search mode for AI nodes, allowing access to live online data from GPT, Grok, and Claude models.
Enhanced Delaverse Interpreter to handle over 1M data rows with advanced analytical chart generation.
Enabled collaborative interaction between multiple AI agents for team-based reasoning and task-solving.
Added Grok and Claude models alongside existing GPT series, enabling hybrid workflows with multiple AI providers.
Optimized Google Docs and Sheets nodes for standalone read/write operations, eliminating function call dependencies.
Launched D Talk, a community platform for user Q&A and collaboration.
Upgraded Assistant Node with Python interpreter and advanced settings for response control.
Added Trello node for seamless project management automation within workflows.
Introduced a system for managing subscriptions and credit-based pricing plans.
Launched Microsoft Clarity node for website analytics and user behavior tracking.
Implemented a comprehensive system to log all AI Playground activities and executions.
Launched a ticketing system for streamlined customer support and issue tracking.
Released advanced workflow automation with Trigger and SMS nodes. Added support for scheduled message campaigns and automated customer outreach workflows.
Launched WordPress integration node for automated content publishing. Added support for custom post types, category management, and scheduled publishing workflows.
Enhanced API integration capabilities with advanced request mapping and response handling. Added support for complex authentication workflows.
Released iframe embedding system for deploying AI assistants on external websites. Added customizable chat widget styles and domain-based access controls.
Implemented comprehensive file management system with FileDB nodes. Added support for large file uploads and automatic vectorization.
Enhanced Google Workspace integration with real-time document synchronization. Added bidirectional data flow between Google Docs/Sheets and AI assistants.
Launched advanced API management system with dedicated API Definition and Request nodes. Enabled complex multi-step API workflows.
Released scheduling and automation framework. Added cron-based triggers and interval scheduling for autonomous workflow execution.
Implemented Google Workspace integration nodes for seamless document and spreadsheet connectivity. Added real-time collaboration features.
Enhanced vector store functionality with advanced file repository management. Added support for custom file categorization.
Released function calling system allowing custom tool integration with AI assistants. Implemented dynamic function registration.
Launched container-based node organization system. Added hierarchical workflow management with visual grouping.
This journey demonstrates the power of incremental learning and building upon previous experiences. Starting with basic conversational AI concepts and progressing to sophisticated workflow orchestration shows how fundamental understanding can evolve into advanced capabilities.
Each phase built critical knowledge that enabled the next level of complexity, proving that consistent progress and continuous learning can transform simple ideas into comprehensive solutions that solve real-world business challenges.