$
Small Steps
Yi kunaanu k'ab'a'aj k'iinil t'aanil le k'áaxal u k'áat'a'al, le k'a'ana'an u k'áat'a'al u yóolal u k'áat'a'al. K'áat'a'al u k'áaxal u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a
Yi kunaanu k'ab'a'aj k'iinil t'aanil le k'áaxal u k'áat'a'al, le k'a'ana'an u k'áat'a'al u yóolal u k'áat'a'al. K'áat'a'al u k'áaxal u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u k'áat'a'al u 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Аглядайцеся на падобныя прылады штучнага інтэлекту.
Trace
Trace is an AI-powered planner and calendar app for iPhone, iPad And Mac that streamlines personal scheduling through intelligent task management. Using natural language processing, the app lets users plan their day by simply typing or speaking commands, while its AI can instantly transform screenshots of information into calendar events. Trace combines calendar events, tasks, and reminders in one unified interface, leveraging artificial intelligence to offer smart scheduling suggestions based on user habits and preferences. The app's AI capabilities eliminate the traditional friction of manual calendar entry by understanding conversational inputs and automatically organizing commitments across multiple contexts. For productivity-focused individuals seeking an intelligent alternative to standard digital calendars, Trace uses AI to reduce scheduling friction, optimize time management, and create a more intuitive planning experience that adapts to how users naturally process information in their daily lives.
Mastt
Mastt is an AI-powered construction project management platform that centralizes and automates critical project controls including financial tracking, contract management, scheduling, and risk assessment. The software leverages artificial intelligence to eliminate manual data entry, automate reporting, and provide predictive insights for construction professionals, reducing administrative workload by over 50%. Project owners, managers, and consultants use Mastt to gain real-time visibility across complex construction portfolios through intelligent dashboards that transform raw data into actionable insights. The AI capabilities continuously learn from project patterns to forecast potential issues, optimize resource allocation, and suggest corrective actions before problems escalate, allowing teams to make data-driven decisions with confidence rather than managing spreadsheets. With its intuitive interface and rapid deployment, Mastt enables construction professionals to replace error-prone manual processes with an intelligent system that standardizes reporting, maintains compliance, and ultimately delivers better project outcomes through enhanced transparency and efficiency.
KUSE AI
Kuse is an AI-powered visual workspace that transforms how users organize and process information by combining an infinite canvas with advanced artificial intelligence capabilities. The platform allows users to gather diverse content types including text, images, files, and AI conversations in one collaborative space, then leverage multiple AI models to analyze, organize, and transform this information into structured, actionable deliverables. Unlike traditional document tools or generic AI chatbots, Kuse excels at maintaining context across your entire project, providing research-backed suggestions with transparent citations, and enabling visual organization that mirrors how people naturally think. Professionals from researchers and content creators to product managers and educators choose Kuse to reduce tool-switching fatigue, ensure information accuracy with citation-backed AI, and seamlessly collaborate on complex projects where maintaining relationships between different pieces of information is crucial.
Yapify
Yapify is an AI-powered email assistant that lets you draft complete, personalized emails using only voice commands. Unlike basic dictation tools, Yapify understands brief verbal instructions about what you want to say, then automatically generates full emails that match your writing style by learning from your email history. The AI excels at maintaining context awareness by reading entire email threads, and can intelligently handle attachments, meeting links, and recipient selection without manual intervention. Business professionals dealing with high email volumes choose Yapify to dramatically reduce email handling time (up to 90% for frequent emailers), eliminate manual typing, and maintain consistent, personalized communication while working directly within their existing Gmail or Outlook workflows. The tool represents a significant advancement in AI-assisted communication, combining natural language processing with personalization algorithms to transform brief voice commands into ready-to-send professional correspondence.
Enjo.ai
Enjo AI is an intelligent support automation platform that leverages advanced artificial intelligence to autonomously handle 20-80% of customer and employee support requests. The AI-powered system integrates seamlessly with workplace tools like Slack, Microsoft Teams, Jira and Confluence, providing instant, context-aware responses by drawing information from knowledge bases and ticketing systems in real-time. Enjo's generative AI capabilities extend beyond simple question answering to include automatically creating and routing tickets, generating knowledge articles from resolved issues, and delivering personalized support experiences. Organizations implement Enjo AI to scale their support operations without additional hiring, reduce mean resolution time to under one minute, decrease operational costs by up to 30%, and significantly reduce agent burnout by automating repetitive tasks. The continuously learning AI system improves over time as it processes more interactions, making it an increasingly valuable asset for enterprise support teams seeking to enhance efficiency while maintaining high satisfaction ratings.
Memara
Memara is an AI Memory Sanctuary that provides persistent memory capabilities for AI agents like Claude and ChatGPT. This innovative tool serves as a specialized memory layer for AI systems, allowing them to retain information across multiple sessions and conversations through semantic search functionality. Unlike standard AI implementations that forget previous interactions, Memara enables continuity and contextual awareness by giving AI systems the ability to remember facts, preferences, and past exchanges. The platform offers plug-and-play integrations and multi-tenant support, making it ideal for developers, organizations, and power users who need their AI assistants to build cumulative knowledge over time rather than starting from scratch with each interaction. By addressing the fundamental limitation of memory in most AI systems, Memara transforms one-off AI conversations into genuinely useful, evolving relationships with digital assistants that learn and adapt through extended use.
StatPecker is an AI-powered data visualization platform that transforms raw data into compelling, easy-to-understand infographics and charts without requiring design or coding skills. The tool allows users to simply upload CSV files or connect to validated data sources, then use natural language to ask questions about their data, with AI interpreting these queries to generate relevant visualizations automatically. StatPecker's AI engine analyzes datasets to identify trends and insights, presenting them through customizable, professional-looking graphics that can be embedded in websites, downloaded as images, or integrated into presentations. This solution is particularly valuable for content creators, marketers, business analysts, and non-technical professionals who need to communicate data-driven stories effectively but lack specialized visualization expertise, helping them increase audience engagement and add credibility to their content through visually appealing data representations.
Macaron
Macaron is an AI-powered personal assistant that uses reinforcement learning to deeply understand its users and create personalized mini-apps directly within conversations. The tool crafts custom applications such as fitness trackers, travel planners, reading companions and mini-games without requiring any coding knowledge or technical setup from the user. Unlike traditional AI assistants focused solely on productivity, Macaron functions as a thoughtful digital companion that remembers user preferences and adapts its support over time, becoming increasingly personalized through continued interaction. Users can instantly transform their ideas into functional mini-tools that help simplify daily tasks, track habits, plan activities, or provide recommendations, all while being able to share their favorite creations with friends. By combining conversational AI with practical application development, Macaron offers a human-centric approach to artificial intelligence that seamlessly integrates into users daily routines.
Cobot
Cobot is an AI-powered productivity tool designed to handle tasks automatically once they are added, shifting them from “do” to “done.” It integrates with commonly used apps and allows users to discover third-party Cobots and workflows that seamlessly connect with their favorite tools. Cobot can summarize recent emails, highlight important calendar events, and provide morning briefings to help users start their day with clear priorities. It also assists in scheduling meetings by identifying available time slots with built-in buffer times. Additionally, Cobot prepares users for meetings by researching attendees’ backgrounds and company details, making daily planning and execution more efficient.
