From chatbots to device AI: the real automation shift
Device AI automation is the use of on-device or tightly integrated AI agents that can observe, coordinate, and execute tasks across apps and system settings, turning scattered actions into continuous workflows that adapt to a person’s habits and context over time.
The most important change in AI right now is not another chatbot; it is assistants that live inside your devices and act on your behalf. Tecno’s EllaClaw began as an OpenClaw port to automate tasks on its smartphones and has now gained cross-app automation and system-level device optimization. MacPaw’s Eney, an AI assistant for Mac, is built as a daily productivity app that combines modern AI technologies into a proactive agent designed to fix scattered workflows. Both tools show the same trend: instead of “AI in a tab,” we are getting AI that understands your device, your apps, and your patterns, and then quietly handles the work in the background.
EllaClaw: cross-app task automation meets system-level optimization
Tecno’s latest update to EllaClaw is a clear statement: phones should manage themselves as much as they manage your messages. After launching in March as an automation-focused agent, EllaClaw now adds cross-app automation and system-level optimization. It can optimize mobile data, battery life, and storage space while running in the background. This is AI device automation aimed at the messy reality of everyday phone use, not demo-stage gimmicks.
The assistant chains multi-step routines: Smart CleanUp Boost frees RAM and CPU to resolve system lag, Smart Power Drain Check finds power-hungry apps, and Instant Cool-down Relief cuts back background activity during heavy tasks. For users with limited data, Smart Data Guardian tracks usage against personal habits to reduce data anxiety. System-level intelligence is paired with memory: EllaClaw learns habits to deliver morning briefings that combine calendars, itineraries, weather, news, and even Trip Prep tasks like arranging rides and setting departure alarms. This goes far beyond a single automation shortcut; it is a contextual operator for your phone.
Eney: an AI assistant for Mac that learns your work rhythm
On the desktop side, Eney argues that the AI assistant for Mac should not be a floating chat bubble but a colleague that understands where your day starts and stalls. MacPaw is building Eney as a daily productivity app that combines the current crop of AI technologies into a proactive assistant designed to fix scattered workflows. It launched in beta on the company’s software marketplace, where feedback has driven new skills and third-party integrations to streamline the experience.
Eney’s value is not in a single feature; it is in how it coordinates many of them. It can create morning briefings by scanning your calendar and summarizing world news, open and complete tasks in tools like email and browsers, and accelerate workflows by summarizing long videos and PDFs, producing meeting notes, forwarding files, translating documents, and converting formats. Users can offload tedious tasks or hand over schedule management and file tidying to the assistant. Crucially, Eney is being designed to adapt to your habits and workflow over time, offering help before you ask and always showing progress while asking permission for major actions.
Why proactive, cross-app agents are emerging now
These new agents exist because traditional AI experiences are exhausting. Studies show the cognitive cost of AI is increasing while attention spans shrink, and AI overwhelms people with options, clicks, and outputs. MacPaw’s research points to a clear demand: people want “infinite interfaces” that adapt to their inputs and AI that turns complex tasks into intuitive processes. EllaClaw and Eney are attempts to answer that demand not with another chat window, but with context-aware automation that reduces decisions instead of multiplying them.
EllaClaw’s permission-first design signals one important lesson: users still want control. It confirms major system changes, even as it automates power checks, data guardianship, and smart home and ride-hailing workflows. Eney follows a similar pattern on Mac, always displaying its progress and asking before big actions. Over Eney’s beta, the team has launched many new skills and integrated third-party tools to improve and streamline the user experience. The point is not raw AI power; it is an assistant that learns when to step in and when to get out of the way.
The future: device-native AI as your default operator
EllaClaw and Eney hint at where AI device automation is heading: persistent, device-native operators that understand context across applications and system settings. EllaClaw’s cross-app automation can bridge shopping, transportation, food delivery, and smart home apps using visible, human-like navigation, including one-sentence ride hailing and a Shopping Buddy that finds options in e-commerce apps. Eney, meanwhile, is positioned as the future companion for Mac workflows, with forthcoming features designed around adapting to your habits over time.
Together they show that the next wave of AI will not be about chatting more; it will be about delegating more. An AI assistant for Mac that quietly manages files and meetings, and a phone agent that handles system-level optimization and cross-app task automation, both represent a shift away from single-task shortcuts toward complex, multi-step workflows that run themselves. If this trend holds, the most powerful interface may soon be a single sentence to a device-native AI that already knows what you mean—and where to act.
