Productivity AI Tools
Discover and compare the best productivity AI tools and software. Browse 955+ curated tools with reviews and rankings.
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Discover and compare the best productivity AI tools and software. Browse 955+ curated tools with reviews and rankings.
Projects tracked
955
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NotchX is a macOS app that turns the camera notch on a MacBook into a live hub for the things you check most often: what's playing, messages, incoming calls, your next meeting, connected AirPods, the weather, and the volume and brightness you adjust throughout the day. Instead of pulling information into the middle of the screen or sending you into separate apps and settings panels, NotchX puts it around the notch itself. Closed, it keeps two small icons either side of the camera; hover, and it opens straight down and never wider than it needs to be. It is built for people who spend their day on a MacBook Air or MacBook Pro and want status and controls within a glance rather than a detour. macOS already tells you what is happening through notification banners, a large volume and brightness overlay in the centre of the display, and pop-ups from apps such as Music. NotchX starts from the notifications your Mac already shows and re-presents them in a strip of screen that is otherwise empty. The volume and brightness pop-up that normally covers the middle of your screen becomes a slim line under the notch. Checking whether your AirPods are connected no longer requires opening Bluetooth settings. Each glance becomes a smaller interruption, which matters on a laptop where screen space and attention are both limited. Music is the deepest part of NotchX. It shows the track title, the artist, play and pause, skip forward and back, and a progress bar you can drag, all beside the camera, and it works with Apple Music and Spotify. The player offers five looks — Aura, Cover Wash, Neon, Sunset and Spectrum — and thirty-five visualizers in total, seven per look. Each look has its own colours and its own animated icons beside the camera, and each song gets a different visualizer, so the notch changes character as your playlist moves on. Everything pauses with the music, so nothing keeps animating once playback stops. Messages and calls arrive from the notification banners macOS already displays. When a message comes in from Messages, Slack, Teams, WhatsApp or another supported app, the sender's name appears beside the camera together with that app's real icon; clicking it opens the message in the app itself. Calls work the same way: if FaceTime, Slack, Teams or Zoom is ringing, the caller and a ringing phone appear beside the camera, and nothing drops down over your work. You can answer or decline from there. Once you are on the call, the notch shows just your microphone state and a timer, and hovering reveals who it is and how long you have been talking — there is nothing to press. Meetings surface a few minutes ahead of time along with the icon of the app the meeting link opens in. One click joins the meeting, and a second option reminds you again in five minutes. AirPods appear beside the camera the moment they connect, with their name, so you can confirm the connection without opening Bluetooth settings. Weather is optional and off by default; turn it on with the Weather tile and, when nothing else is going on, the notch shows a live sky — sun, rain, thunder or snow — plus the temperature. Clicking it reveals today's high and low, the chance of rain and the forecast for the next five hours. Volume and brightness are handled by replacing the large macOS pop-up in the middle of the screen with a slim line under the notch: drag the line or tap the icons. Everything else is controlled from a small menu that opens when you click NotchX in the menu bar. From there you switch individual features on or off, choose a music look, and decide how much of a message the notch reveals: the full message with sender and text, the sender only with a "New message" label, or just the app icon, which is handy when you are sharing your screen. The same menu holds Open at login and Quit. NotchX works locally on your Mac and takes its information from what macOS already presents. It reads the message and call banners the system shows, which is why it asks for Accessibility access; the same permission lets it replace the volume and brightness pop-ups. Meetings ask for Calendar access instead. Music, weather and AirPods work without Accessibility permission. Everything stays on the machine: there is no account, no analytics and no message history, and nothing you read is sent anywhere. The app only goes online to check your licence, look for updates, and — if you have turned Weather on — to fetch a forecast for your approximate area. The practical benefit is that information arrives where you are already looking rather than in the middle of your work. A ringing call shows who is calling and lets you decline without a full-screen interruption; a message shows its sender without you switching apps; the next meeting is one click away; AirPods confirm they are connected; the weather is there when nothing else is happening. Because the closed state is only two small icons either side of the camera, the feature set is available without permanently giving up screen space, and because the panel opens straight down and never wider than it needs to be, it does not cover the work behind it. Typical use is a working day on a MacBook: music playing while you write, with the notch showing the track and a draggable progress bar; a Slack or Teams message sliding in with the sender's name beside the camera; a Zoom call arriving with the caller shown so you can answer or decline; the design review meeting appearing a few minutes early with a one-click join. If you share your screen often, setting messages to icon-only keeps content out of view. If you work away from a window, the Weather tile gives you the sky and the next five hours at a glance, and the slim volume line keeps adjustments out of the centre of the display. NotchX is aimed at people using MacBooks with a notch — MacBook Air and MacBook Pro models from 2021 onward — running macOS 13 Ventura or later. On a Mac without a notch it sits at the top centre of the screen instead. It is a paid app with a 14-day free trial that unlocks every feature; after that a lifetime licence costs $9.99 as a one-time payment for one Mac, including all future updates. There is no subscription and no account, and it works offline once activated. The app is signed and notarized by Apple, checkout is handled by Lemon Squeezy, and the licence key arrives by email. A licence can be moved between Macs by choosing "Deactivate this Mac" on the old machine and entering the key on the new one. Updates arrive automatically or via Check for Updates. In short, NotchX gives the notch something to do: a single, local, glanceable surface for music, messages, calls, meetings, AirPods, weather, volume and brightness, backed by a one-time $9.99 licence after a 14-day free trial, with no account, no subscription and nothing you read leaving your Mac.
Agent Clan is a desktop workspace that turns your Claude Code and Codex agents into a 3D team living right on your screen. Instead of working with agents as lines of text, you build an agent army on your desk — a crew of characters you pick, talk to and direct with your hands. It is made for people who already use Claude Code or Codex and want to work with those agents their own way: choose an agent, tell it what to do, and see what comes back without reaching for the keyboard. Agent Clan is an independent desktop application for Mac and Windows, powered by your own AI accounts. The product is framed around a simple frustration: picking an agent, giving it a task and reading the result should not mean reaching for the keyboard, copying and pasting, or switching between apps. Handing something over should not require a detour through a clipboard, and answering an agent's permission request should not pull you out of what you are doing. Agent Clan's answer is to keep your crew over every app, waiting in the corner as little heads, so you always know who is busy, who is done and who needs you. Because gestures work in front of any app, not only inside Agent Clan, the interaction follows you wherever you are working. The first control layer is gesture. Open your hand, then make a fist and your agents appear. Pinch and pull toward an agent to choose it, then let go to select. The same language covers answering an agent: when an agent asks for permission, you pull right to allow or left to deny. Gestures are optional — mouse and keyboard work too — but they are the heart of the experience, letting you reach characters floating over any application rather than hunting for the right window. The second control layer is voice. Choose an agent and simply talk; your words become its next task, turned into text right on your computer. Voice input needs a microphone. Agent Clan states that gesture recognition and speech-to-text run on your computer, and that it does not upload camera frames or raw recordings. The transcribed text goes to your chosen agent and is handled by that service, and agent tasks still require an internet connection. Agents wait in the corner of the screen as little heads, always on top of whatever you are working in. A ring around each head shows whether it is working, done or waiting for you, so the state of the whole crew is visible at a glance. Point at a head for its result, then allow or deny without switching apps — for example, answering “Can I run npm install?” from inside another program. You can also circle anything on your screen to hand it over to an agent. Prompts do not have to be typed at all. A picture, a file or some text can be dragged onto an agent and it becomes that agent's prompt, with no copying, no pasting and no switching apps. Structure comes from groups: put agents under a leader, pick the leader to open its group, then pull again to talk to a member, or ask a leader and its crew splits the work. This turns a large set of agents into an organized team rather than a flat list of terminals. The crew is rendered in 3D. Every agent can be given its own hair, eyes, clothes and costumes, and each terminal you open becomes one more character at a desk in the room, with the whole room typing away together. With Pro there is no limit on characters; the site illustrates the idea with 50 agents in a cabin, each in a cat costume with its own eyes and name, typing as fast as they can. Pro also unlocks mods. You tell any Claude agent in your crew what you want — sparkles when a task is done, a crown on its character, something new in the room, a small panel, a colour theme or a sound — and it writes a small mod using Agent Clan's MCP tools, looks at a picture of the result, fixes what is off, and the change appears right away with no restart. Mods stay in a Workshop folder on your computer, apart from the app, so updates do not remove them, and any of them can be turned off on the Workshop page. Codex agents cannot write mods yet. Underneath, Agent Clan is an independent desktop workspace that connects the Claude Code and Codex tools on your computer to interactive characters. You use your own agent accounts, and the original providers bill their usage; AI service fees are separate from Agent Clan itself. Gesture recognition and speech-to-text are processed locally rather than uploaded. A character can also be created from a photo by asking your own Claude Code account to suggest a character made from existing parts and colours — a step the site notes is not processed entirely on your computer. The outcomes the product points to are immediacy and awareness. You can pick an agent and give it a task without touching the keyboard, see who is busy, done or waiting in a single glance, answer a permission request in place rather than switching apps, and hand over screen content by circling it or dragging a file straight onto a character. Instead of losing your place every time an agent needs you, the crew sits over every app and comes to you. Concrete workflows follow from that. A developer running several Claude Code or Codex tasks can open terminal after terminal and watch the room work while doing something else, then allow or deny each request as it comes up. Someone reviewing material in another application can circle the thing they mean and hand it to an agent, or drag a picture, file or text block onto one. A user organizing a bigger effort can put agents under a leader and let the crew split the work. A Pro user can ask an agent to restyle the workspace or add a sound, and a user with a photo can ask Claude Code to suggest a character built from existing parts and colours. Agent Clan has a Free tier and a Pro tier, and an account is required for both. Free includes one project with up to two agents, gesture control and voice input, and 3D characters and workspaces. Pro is a one-time purchase listed at US$14 during a launch price running until Nov 30, 2026 (US$19 afterwards), includes one year of updates, and adds unlimited projects and agents, mods, and everything in Free. Pro belongs to your account and can be signed in on up to 3 computers; signing in on one more prompts the app to sign out the one used longest ago. The app runs on Mac and Windows, and defaults to mouse and keyboard if you do not want to use gestures. Agent Clan's core value proposition is stated simply on its own site: pick with your hand, ask with your voice, and keep your crew over every app so you always know who is busy, who is done and who needs you. It takes agents that normally live in terminals and turns them into a visible, reachable team you can direct without a keyboard.
Capnot is a macOS app that adds a caption-first communication layer on top of whatever is on your screen. It places live captions, caption bubbles, drawings, and pointer tools over any app running on your Mac, so a screen demo can still make sense when the sound is off. The product is built for people who explain through screens — SaaS founders and indie developers shipping product demos, presenters, remote workers, educators, and streamers — and its stated purpose is to let you record once and explain it live, with no voice-over and no post-production. Every tool is one hotkey away from a menu bar app, and the captions and annotations appear on screen instantly in whatever recording or screen share you are already running. The website frames the core problem simply: your screen is visible, but your meaning is not. It describes three specific failures. First, the demo is done but the editing is not — you finish a walkthrough and then lose another hour adding captions, arrows, and zooms in a video editor. Second, no mic means no explanation, so a noisy room, a muted call, or a silent social post stops you from explaining what is on screen. Third, viewers lose the tiny cursor and miss the button, menu, or detail you meant to show, which breaks the explanation. Capnot's answer is to add the missing communication layer while you record, share, or present, rather than afterwards in an editor. The Caption toolkit covers everything you want to say, on screen, right now. Bubble Chat (hotkey ⌃/) creates a caption bubble anchored to your cursor; you click anywhere to plant it on screen so viewers read your message next to the thing you are talking about, with no "look at the top-left corner" confusion. Dialogue Mode (⌃.) presents like a broadcaster, showing your name, photo, and title above a polished subtitle panel at the bottom of the screen while you speak naturally; you can choose from built-in style presets or design your own, and toggle Dialogue Mode off for a clean subtitle-only look. With the broadcaster overlay off, you get the Subtitle Bar: a slim, unobtrusive, readable bar at the bottom of the screen, style-matched to your brand. Live Captions, marked Beta, let you hit the mic and speak naturally while Capnot transcribes you in real time via macOS Speech Recognition, fully on-device, so no audio leaves your Mac and there is no cloud or subscription involved. The Annotation toolkit lets you draw attention to what actually matters by overlaying your screen with drawings and shapes, with no app switch and one hotkey. The tool list includes a Move tool to reposition shapes, a Pen for freehand drawing, an Arrow to point to anything, a Line tool for straight lines, a Rectangle for box shapes, a Circle for circles and ellipses, Text for text labels, and a Counter for numbered markers — useful for walking through steps in order. A Blur Box lets you redact content, an Eraser removes shapes, Select Color picks the stroke color, and Clear All wipes the canvas. Because these annotations are drawn directly over the app you are demonstrating rather than added later in an editor, the shapes and labels land exactly where the explanation happens. The Pointer toolkit makes your cursor impossible to ignore with four tools. Spotlight Mode (⌃S) dims the screen to black except for the area around your cursor, with feathered edges that keep it natural, so your audience stops looking at the wrong part of the screen. The Laser Pointer (⌃L) shows a vivid glowing dot that trails behind your cursor with a fading streak, with adjustable color, dot size, trail duration, and glow intensity — described as looking great in recordings and live screen shares. The Cursor Highlighter (⌃H) puts a bright ring around your cursor everywhere on screen, with customizable color, size, and shape to match your brand or mood. The Magnifier (⌃M) shows a circular magnified view that follows your cursor with a crosshair and adjustable zoom level, so you can show small UI details, tiny code diffs, or compressed content without zooming your entire display. Overall the product works as an overlay and a hotkey system rather than a recording suite. Capnot installs once, follows a guided setup, and settles into your menu bar. From there, every tool has a keyboard shortcut — no menus, no mode switching, no hunting for buttons — and captions and annotations appear on screen instantly. Because Capnot sits on top of any app, it works with any screen recorder or screen share; you are not locked into Capnot's own capture workflow. The site describes the whole path as three steps: install once, press a hotkey, and you're done, with no timeline editing and no post-production. A Settings window with four tabs — General, Caption, Annotation, and Pointer — lets you change every keyboard shortcut, font size, colors, corner radius, opacity, gradient borders, and more. The stated benefits follow from that design: you finish a walkthrough without losing another hour adding captions, arrows, and zooms in a video editor; you can explain what is on screen even in a noisy room, a muted call, or a silent social post; and viewers no longer miss the button, menu, or detail you meant to show because the pointer is impossible to lose. Because explanations go into the recording live, you record once and share immediately. Because Live Captions run on-device through macOS Speech Recognition, no audio leaves the Mac. And because it is a one-time purchase, there is no subscription hanging over every demo you make. Concrete use cases named on the site map to specific audiences. SaaS founders and indie developers ship product demos without voice-over, explaining a launch, feature, or code walkthrough with captions already on screen, then recording once and sharing immediately. Presenters keep their audience reading with on-screen cues, talking points, and live captions during conference talks and demos while their slides stay clean. Remote workers communicate without a mic by typing captions teammates can see during screen shares, which suits noisy environments, muted calls, or async video. Educators highlight what they are pointing at, annotate diagrams, and caption explanations in real time to make lessons easier to follow. Streamers drop captions, circle things on screen, and spotlight content live without touching their streaming software or switching scenes. On pricing and requirements, Capnot is $12.99 as a one-time purchase with one plan that includes every Caption, Annotation, and Pointer tool — no subscription and no feature-gated Pro tier. A 7-day free trial requires no card. The license covers one Mac, updates are included, and checkout is handled by Polar, with refund requests handled according to Polar's refund policy. Capnot supports macOS 13 (Ventura) and later, and Live Captions requires macOS Speech Recognition, available on Apple Silicon and Intel Macs. The app ships as a downloadable DMG, and the site notes there is no account creation, timeline editor, or complicated recording workflow. In short, Capnot's value proposition is that your next demo can explain itself: live captions, annotations, and pointer tools added to every recording on a Mac, for a single one-time price, with no voice-over, no editing afterwards, and no subscription.
ClarifierAI for Chrome is a Chrome extension that rewrites, fixes and translates only the text you select, in any text field on the web. It is the browser version of ClarifierAI, an iOS keyboard that makes your words clearer and translates across 113 languages in any app, and it keeps the exact same prompts so your text comes out the same on phone and desktop. The extension is built for people whose writing happens in the browser — the maker describes his own work as emails, LinkedIn messages, support tickets and docs — and it brings the Improve, Clarify, Grammar, Polite, Shorten and Translate actions directly to the place where you type. The product story behind the extension is a simple one. After launching the iOS keyboard, the most common request the maker received was "I need this on my laptop too." Most of his own writing happens in the browser, and there he was back to copy-pasting between tabs and AI chats just to make one sentence sound right. ClarifierAI for Chrome was rebuilt as a Chrome extension to remove exactly that loop: no new tab, no copy-paste, and no need to paste a corrected sentence back into the field where it belongs. Because the prompts are shared with the iOS keyboard, a rewrite produced on an iPhone and a rewrite produced in Chrome should read the same way. The defining behaviour is scope. You select any part of your text in any text field, and ClarifierAI improves, translates or changes its tone right where you type. Only the part you selected is changed, and the rest of your message stays untouched. If nothing is selected, it works on the whole field instead. Reviewers singled this out: one commenter wrote that "only touching the text I selected instead of the whole field is the part I trust here," adding that every rewrite extension they had tried eventually mangled something they wanted to keep exactly as it was. There are three ways to trigger the extension. You can select text and click the ClarifierAI button, or press Alt+Shift+C, or right-click and choose "Format with ClarifierAI" from the context menu. All three routes act on the current selection inside the field you are already typing in, so the interaction stays inside your existing workflow rather than pulling you into a separate app. When nothing is highlighted, the same actions apply to the whole text field, so the extension works whether you want to touch one sentence or the entire draft. The action set covers the common editing jobs. Improve, Clarify, Grammar, Polite and Shorten are built in, and Translate handles languages. Beyond the presets, the extension supports your own custom actions — the maker's examples are "make it formal" and "explain like I'm 5" — which lets you save instructions that match how you actually write. Because the prompts match the iOS keyboard, the same action produces consistent results across phone and desktop. Translation is a first-class feature rather than an add-on. The Chrome extension translates into 119 languages, using a searchable language picker with your recent languages shown at the top so that the languages you use daily are one tap away. On iOS, ClarifierAI translates across 113 languages in any app, and the keyboard works in Gmail, LinkedIn, iMessage, WhatsApp, Slack and more. The point in both cases is the same: you translate in place instead of switching between apps or copying text into a separate translator. Changes are transparent rather than final. After ClarifierAI runs, you see every change highlighted, and you can click any single change to undo just that one — an all-or-nothing undo is deliberately avoided so you keep your own voice. Pressing the checkmark replaces the text in the field, and Command+Z undoes it. Two small extras round out the editing experience: UPPERCASE and lowercase conversion in one click, which needs no AI at all, and light and dark mode. The extension works in Gmail and most text fields on the web. Privacy is stated plainly in the launch post. The extension reads your text only when you open ClarifierAI on it, and there is no browsing history access, no tracking and no ads. That matters because the fields where people write in the browser are frequently work contexts — client emails in Gmail, internal messages in Slack — so the reading is limited to the moment you deliberately invoke the tool on a selection. The practical benefit the maker promises is speed: writing and translating your messages 10x faster, using AI directly where you type. Instead of moving a sentence out to an AI chat and back, you act on it inline, in the same field, with the rest of your draft preserved. The highlighted diff and per-change undo mean you can accept most of a rewrite while rejecting the one word that no longer sounds like you. And because nothing is selected by default, the whole-field mode still covers the case where you want a full paragraph reworked end to end. The maker lists three concrete workflows from his own use. Before sending an important email, he selects the paragraph and runs Improve. When a reply sounds too harsh, he selects that one sentence and makes it Polite. When writing to colleagues abroad, he types in his native language and translates in place. On the iOS side, a reviewer described using translation most in work chat and while shopping on Chinese marketplaces such as Taobao, and said they no longer use a separate translator because they dislike switching between apps. ClarifierAI for Chrome is listed as free and is available through the Chrome Web Store; the launch page also points to the iOS keyboard as the earlier release from the same product. The extension's supported surface is Gmail and most text fields on the web, and it inherits the prompts of the iOS keyboard so behaviour stays consistent across devices. The product is published on Product Hunt by a small maker team, with the Chrome launch following the iOS launch. In short, ClarifierAI for Chrome takes the selection you highlight in a browser field and makes it clearer, shorter, more polite, grammatically correct, or translated into one of 119 languages — without a new tab, a copy-paste round trip, or a rewrite of text you wanted left alone.
seam is a native Mac app that turns the notch at the top of your Mac display into a Dynamic Island: a small, glanceable surface that shows what is happening without pulling you out of your work. From that surface you can set a focus sprint, control your music, see upcoming meetings, check battery and weather, dictate text into any app, and see when a coding agent such as Claude Code finishes. It is built for people who spend their day on a Mac and want the small, constant interruptions of checking things — track names, timers, calendar entries, battery — to cost less. The same experience is available on machines without a notch through Island mode, which floats the identical surface on iMac, Mac Mini, Studio Display and external displays. The notch takes up a permanent strip at the top of a modern MacBook display, yet most of the time it does nothing. Meanwhile, the information people check most often during a workday lives scattered across different apps: the current song is in Music or Spotify, the remaining minutes are in a timer, the next meeting is in Calendar, the battery sits in the menu bar, and the status of a long-running coding agent is buried in a terminal window. Each check is short, but together they fragment attention and pull people out of deep work. seam's premise is that the top of the screen is already inside your field of view, so the things you glance at most should live there instead of behind an app switch. Voice input has a similar problem: most dictation tools send audio to a server, which raises privacy questions and requires a connection. seam instead runs its transcription and translation locally on the Mac, so nothing leaves the device. Voice is one of the app's core capabilities: seam lets you type 4x faster with your voice by dictating into any app. It offers ultra-fast voice transcription and translation with 100% local processing, so spoken words become text directly on your Mac rather than being uploaded for processing. The privacy benefit follows directly from that design — your voice and the resulting text stay on your machine, and the app states plainly that nothing leaves your Mac. Because the processing is on-device, it also does not depend on a network connection to function. For anyone who writes messages, notes or long passages by speaking rather than typing, this turns voice into a practical everyday input method instead of an occasional experiment. Flow is the built-in focus timer. You set a sprint from your notch and work without a clock on your screen, so the remaining time is available when you glance up but never occupies the middle of your workspace. The app describes these as deep work sessions with built-in breaks, and shows a session timer that starts at 0m with a Start Session control. The point is to remove the friction of opening a separate timer app and the distraction of watching a countdown: the session lives in the notch, starts there, and stays out of the way until you need it. Now Playing brings music control into the same surface. The expanded player can show the current track, and the settings offer fine-grained control over how that behaves: display when idle shows the last track even when playback is paused, display when on media window shows an overlay when a media app is focused, and there is an option to jump to the browser tab so the now playing tab opens directly. An output device picker shows output switching inside the expanded player, song titles can scroll, a track change animation shows a peek when the song changes, and live music bars follow the sound — a visualizer that asks for audio access in order to work. Beyond music and timers, seam keeps other everyday signals in the same place: upcoming calendar events, battery status, weather, and the completion state of coding agents such as Claude Code. Not every user wants every module, so the app is built around toggles — ten features you can switch on only if you use them, including Now Playing, Calendar, Weather, Battery, Focus and related options, alongside general settings for lock screen, notifications, sound and display, and audio devices. That configurability matters because a control center only helps if it shows what you personally care about and nothing else. The overall approach is to reuse space that already exists. Instead of adding another window, another menu bar icon or another dashboard, seam expands and collapses from the notch at the top of the screen and stays quiet the rest of the time. The app is deliberately lightweight: it reports 0.1% CPU, 33 MB of memory and zero battery impact, and only wakes up when something actually happens rather than running continuously in the background. Privacy is handled through architecture rather than policy: on-device AI, no servers, no tracking, no data collected, and no internet required. On screens without a notch, Island mode provides the same floating surface so the experience is not tied to one hardware model. The benefits follow from those choices. Because the information is already at the top of the screen, checking a track, a timer or a meeting costs a glance instead of an app switch, which the app frames as saving an hour every day from the top of your screen. Voice dictation removes typing effort for people who speak faster than they type. Local processing means you can dictate sensitive content without sending audio away, and the lightweight footprint means the utility does not itself become a battery or performance problem. Typical use cases map directly to those features. During a deep work block, you start a Flow sprint from the notch, work without a clock in the middle of the screen, and take the built-in breaks. While listening to music or a playlist in Music, Spotify or a browser tab, you check and switch tracks and outputs from the expanded player and see a peek when the song changes. Before a meeting you glance at the calendar entry rather than opening Calendar. If you prefer speaking to typing, you dictate into whatever app you are already using — mail, notes, messages — and the text appears as locally produced transcription. If you run a coding agent such as Claude Code, you keep working and let the notch tell you when it finishes instead of watching a terminal. seam is aimed at Mac users — particularly MacBook Pro owners whose notch is otherwise unused, but also iMac, Mac Mini, Studio Display and external display users who get the same surface through Island mode. It is a native Mac app distributed as a direct download with a free 48-hour trial that requires no credit card. Pricing is a one-time $19.90 purchase rather than a subscription, and every license works on up to 2 Macs. The purchase includes at least a year of free updates, with a discount for early supporters if a major new version is released, and there is a 14-day money-back guarantee. In short, seam's value proposition is simple: the top of your screen is already in view, so put the things you glance at there. Music, focus sessions, meetings, dictation, battery, weather and coding-agent status arrive in a single lightweight, on-device surface, bought once instead of rented monthly, with your data staying on your Mac.
Native Tasks for Obsidian is a free native macOS task app built for people who already keep their tasks inside an Obsidian vault. Rather than asking you to maintain a second place for your to-dos, it reads the checkboxes and Tasks plugin metadata that already exist in your .md files and writes every edit straight back into those same files. The app is shaped for Wunderlist-style task work, giving you a dedicated desktop surface for capturing, scheduling, and completing tasks while your Markdown notes remain the single source of truth. It runs on macOS 14 Sonoma or later and requires an Obsidian vault containing at least one .md file, with folder access granted so the app can scan the vault. The problem it addresses is a familiar one for note-based workers: tasks written as Markdown checkboxes inside Obsidian are fast to capture but awkward to actually work through. There is no dedicated window that stays out of the way, no quick way to capture a task while you are in another application, and no simple way to move a task from a project note into a daily note. At the same time, many people are unwilling to move their tasks into a separate cloud service, because that means duplicating information, losing the plain-text record, and accepting an account, sync, and telemetry they never asked for. Native Tasks for Obsidian sits on top of the vault instead of replacing it, so the notes stay portable and readable in any editor while the day-to-day task work happens in a purpose-built Mac app. One of the defining characteristics of the product is that it is a real macOS app rather than a wrapper around a web app. The site states plainly that there is no Electron and no proprietary database, meaning the application is shaped specifically for Wunderlist-style task work on the Mac instead of being a browser engine in a window. The other half of that promise is how edits are handled: every change round-trips back to your .md files through atomic writes, with mtime conflict detection, so concurrent Obsidian saves never get clobbered. In practice this means you can keep Obsidian open in one window and the task app in another, and the two stay consistent because the app detects when a file has changed underneath it rather than blindly overwriting your note. The app is also aware of the Tasks plugin and the metadata that plugin writes into Markdown. It recognizes due dates marked with 📅, scheduled dates marked with ⏳, recurrence marked with 🔁, priority marked with 🔺⏫🔼🔽⏬, and custom statuses such as [/], [-] and [>]. Because these are read directly out of the .md file, tasks you created in Obsidian appear correctly in the app, and changes you make in the app are written back in the same format. For anyone who has already invested in the Tasks plugin, this avoids a migration: there is nothing to import and no new syntax to learn, because the app speaks the format your vault already uses. Capturing tasks is designed to be fast from anywhere on the Mac. A global hotkey and a menu-bar composer let you add a task without switching to the main window, and captured tasks land in today's daily note, with full support for the Daily Notes plugin configuration. That means quick thoughts end up in the same place your existing daily-note workflow expects them, rather than in an inbox that lives only inside the app. The app also lets you drag tasks between files and reorder them within a file, and both rewrites land in your .md files atomically, so a move from a project note to a daily note is a single safe operation rather than a delete followed by a recreate. Overall the product follows a simple methodology: the vault is the database, and the app is the interface on top of it. You point the app at your Obsidian vault, grant folder access so it can scan, and it presents your Markdown tasks in a familiar three-pane layout with a sidebar, a list, and a task detail view. Smart lists for Today, Inbox, and Completed are provided out of the box for triage. Everything is processed locally on the Mac, with no accounts, no telemetry, and no analytics; the only network calls are obsidian:// deep links that you explicitly invoke. The benefits follow directly from that approach. Your tasks are never locked into a proprietary database, because they remain ordinary Markdown in your own vault and stay readable, portable, and yours. Because the app is native and focused, it gives you a fast, dedicated place to work through tasks without opening a full note-taking environment. Because writes are atomic and conflict-aware, you can safely keep Obsidian open at the same time. And because there is no account and no telemetry, adopting it does not add a new vendor to your task data. For existing Obsidian users, the practical outcome is that the tasks they already have become something they can actually run their day from. Concrete use cases map closely to the audiences the site names. Obsidian users who already track tasks in their vault with the Tasks plugin get a dedicated native surface for those tasks. GTD practitioners get Today, Inbox, and Completed smart lists out of the box, so they can capture quickly and triage later. Wunderlist refugees get a familiar three-pane interface of sidebar, list, and detail that respects their existing Markdown notes. Day to day, that looks like firing off a task from the menu bar while working in another app, having it appear in today's daily note, then later dragging it into a project note and reordering it among that project's other tasks. On requirements and availability: the app requires macOS 14 Sonoma or later, an Obsidian vault with at least one .md file, and folder access for vault scanning. It is distributed both as a direct download and through the Mac App Store. The app itself is free to use, and Pro is a one-off £19.99 with a 7-day free trial on the direct download that requires no card. Native Tasks for Obsidian is, in short, a focused native Mac task manager for people whose tasks already live in Obsidian. It keeps the Markdown files as the source of truth, round-trips every edit safely, understands the Tasks plugin syntax, and stays entirely local and private — which is the whole value proposition in one sentence.
Wonder Dev View is an IDE for engineers who care about design, built by Wonder and introduced by co-founder and CTO Boris. It is a development environment that combines multiple Claude Code and Codex accounts, each on its own subscription, with an editable design canvas that sits right beside your code and the running app. Wonder starts with the repository you already have: you can connect GitHub or open a local project, and agents work on your machine with your team's components, conventions and tools. Its stated purpose is to be a place to shape an idea, make it work and get it into someone's hands, giving engineers more room to use their own judgment. The product responds directly to how coding agents have changed development. In the launch letter, Boris writes that agents changed how much we can build, not how much we need to understand it, and that he wanted a development tool that keeps him close to what he is making. Two things he wanted in his own IDE shaped Wonder: multiple Claude Code and Codex accounts, each on its own subscription, and an editable design canvas right beside his code and running app. He describes wanting the design loop to feel ordinary, with fewer explanations about which button you meant and more time getting the button right. The underlying stance stated on the site is that good software still needs your judgment, and that a working result is where review begins. Wonder organises work around parallel worktrees. Each task gets its own worktree, with its chats, changes, terminal and pull request together in one place, so you can explore a feature while another agent fixes a bug, or start from an existing branch. For code-only work you can stay in the full-screen coding view. On the accounts side, you can connect several Claude Code and Codex accounts, each on its own subscription, pick the account, model and effort for each chat, and optionally let both agents share saved memory. The site notes that your agent subscriptions stay separate, so multiple accounts remain distinct rather than pooled. Context and autonomy are both configurable. You can give the agent the context you would give a teammate: a file, a design, a related chat or another worktree. You then choose how much it does on its own, from asking first to letting it run. In the walkthrough shown on the site, an agent given the instruction to redesign the pricing page reads the current plans and pricing table, edits the pricing table and plans files, searches for the price formatting helper, runs the pricing tests, reports that plans now carry a yearly price, and then continues with a monthly and annual toggle plus a Save 20% badge — with a note to ask Codex to review it when done. The design canvas is the second pillar. You can attach a screen from your designer and ask the agent to build it in your repo with your existing components, or bring a screen from the repo onto the canvas and work out the details visually. You can then run the app beside the design. Selecting an element in the Preview adds it to the chat so the agent knows exactly what you mean, and you can also capture an element onto the canvas, change it there and take it back to the repo. The stated aim is that this loop feels ordinary: fewer explanations about which button you meant, and more time getting the button right. Review and shipping are built into the same surface. Because a working result is where review begins, you read the diff, run your checks and can let Codex review Claude's code, or the other way around, while you still decide what is ready. From there you open the pull request, mark it ready, address feedback or fix failing checks, with the status shown right beside the changes — the walkthrough shows a draft pull request with the changed files, a Checks panel and a View on GitHub action. On Pro you can publish the app's Preview to a link someone can open in a browser and send it with the pull request. The canvas is collaborative too, with live editing on Pro, so a designer can shape the interaction while an engineer keeps it grounded in the code. Taken together, the approach is to keep agents, code, design and review in one continuous loop anchored to your own repository. Wonder does not ask you to move your project into a new hosted environment: it connects to GitHub or opens a local project, and agents work on your machine with your team's components, conventions and tools. Each task is isolated in its own worktree with its chats, changes, terminal and pull request together, so parallel agent work stays separated by task rather than tangled in a single working copy. Design context flows in both directions — a designer's screen comes into the repo as a build instruction, or the repo comes onto an editable canvas — and the running app sits beside the design so the element you point at is unambiguous. The stated benefits follow from that loop. Engineers get a development tool that keeps them close to what they are making rather than one step removed from it. Running several agents in parallel, each on its own subscription, lets you explore a feature while another agent fixes a bug. Giving the agent a file, design, chat or worktree as context reduces the back-and-forth about what you meant. Selecting elements in the Preview rather than describing them lowers the ambiguity in design feedback. Letting one model review the diff of another adds a second pass before you decide what is ready, and the pull request, checks and status sit beside the changes so shipping is not a separate context switch. Concrete workflows described on the site include adding a refund button to an order page, where the agent finds the refund logic in the payments service, reuses an existing ConfirmButton so it matches the rest of the page, edits four files and runs a typecheck; redesigning a pricing page with a monthly and annual toggle; exploring a design like a gallery card screen on the canvas; and reviewing a diff where Codex reviews Claude's code before the pull request is marked ready. Another workflow pairs a designer shaping an interaction live on the canvas with an engineer keeping it grounded in the code, and a further one publishes a working Preview link so someone else can try the app and receive it alongside the pull request. Wonder runs on Mac and Windows and is free to start, with downloads offered for macOS. Shared canvas editing and Preview links are on Pro, while your agent subscriptions stay separate. The site lists engineers at Autentic, Deeploi, Arc, Browserbase and CodeRabbit as users. It is aimed at engineers who build with coding agents and care about design, and at teams where designers and engineers work on the same interface. Full documentation for the design features is available in the Wonder docs. The takeaway is that Wonder Dev View is a place to shape an idea, make it work and get it into someone's hands, built on the belief that agents change how much we can build but not how much we need to understand it. By putting multiple Claude Code and Codex accounts, parallel worktrees, an editable design canvas and a running app preview side by side — and closing the loop with cross-agent review and pull requests — it gives engineers more room to use their judgment from the first prompt to the pull request.
Pauta is a meeting transcription and summarization app for Mac and Windows that runs entirely on your own computer. It records your microphone or your system audio, transcribes the conversation while it happens, and then turns it into a note with decisions and tasks. The product is aimed at people who hold a lot of conversations — meetings, interviews, classes, appointments and voice notes — and who want a private memory of them rather than another cloud subscription. There is no bot that joins the call, no account to create and no server storing your audio. You pay once and the license is yours forever. Most meeting recorders work the same way: a bot joins the call as an extra participant, audio is streamed to a server, and the transcript lives in someone else's cloud behind a monthly fee. Pauta takes the opposite route. It records through your own computer, capturing both the microphone and the system audio, so it works in Zoom, Google Meet, Microsoft Teams and any other call with no extra guest. The website is explicit that nothing leaves your machine: Pauta servers do not receive your recordings, transcripts or summaries. Offline use is supported — the internet is only needed to validate the license, download models and, if you connect Claude or ChatGPT, to summarize with them. Capture starts in two ways. Pauta notices when a meeting starts, or you turn it on manually whenever you want, for videos and any system audio. The rule stated on the site is simple: if you can hear it, Pauta can capture it. Controls are always at hand — on the Mac the recording sits at the top of the screen in the Mac Island; on Windows the system tray offers one click to record or mark a moment. During a session you can mark a moment worth returning to and turn on stealth recording from a meeting-detected prompt. Before you record, the options drawer shows what stays on the device. Transcription happens while the conversation is happening, from either the microphone or the system audio, and the text stays on your machine without touching a server. The interface shows the transcription engine in use — Parakeet V3 in the demo screens — alongside a language setting. Speaker identification is the second layer: Pauta separates the voices in each meeting and matches them against people it already knows, on your computer. It learns each person's voice and recognizes it in later meetings, so a familiar participant is labeled by name instead of a generic speaker number. Fix a name once and it remembers; the demo shows three speakers in a recording with two already named. Summaries are produced by the AI you pick. Local Qwen 2.5 3B is the default and the recommended option: it runs on your computer, with no cloud and no account. If you prefer, you can connect Claude or ChatGPT using your own API key, in which case the text for a summary or an answer goes to that provider. The output is a structured note rather than a wall of text — the screens show a note written by AI and attached to a project, with a decisions list covering items such as the second batch closing on Friday, Rafael taking the integration by Thursday and support being warned before the holiday, plus a task count. Projects give Pauta its memory. You create a project with a name and a description, and each recording lands in the right one; when a recording ends, Pauta suggests the right project and you confirm it with one click. A project then rolls every conversation on that subject into a single summary — the example project called Batch 2 holds three recordings totaling 1h54 and keeps an overview plus a shared decisions list. On top of that, each project has an AI conversation about all of its recordings. Inside a project you can ask what has been decided so far or who ended up with the most tasks, and the answer draws on the summaries and transcripts of every recording in that project. Beyond projects, Pauta organizes recordings with tags and a no-project bucket for anything you have not filed yet, and transcripts are searchable. Two integrations extend where the material goes. Obsidian Sync turns every recording into a note in your vault, organized by project, and keeps the note current when you edit it in Pauta. The calendar sits in the menu bar: your next meeting shows next to the icon, read from Apple Calendar with no server involved — to see Google or Outlook you connect those accounts to Calendar. The website sums the workflow up as detect, transcribe, know who spoke, summarize, organize into projects and answer across meetings. The overall approach is local-first and native. Pauta is built with SwiftUI for macOS on Apple Silicon and Intel as a universal binary, and for Windows 10 and 11 on x64 and ARM64 through the Microsoft Store. Because transcription and summaries run on the computer, the pipeline does not depend on a connection, and the privacy default is visible before you record. The only outbound contacts Pauta describes are license validation, model downloads, update checks and the optional Claude or ChatGPT calls you configure yourself. For users, the outcome is a durable, private record of conversations. Decisions and tasks are captured in a note instead of being reconstructed from memory; familiar voices are named automatically; and a subject's history is queryable in one place rather than scattered across separate recordings. Because the license is a one-time purchase, the cost does not scale with usage, and every future update is included. The site lists broad use cases rather than a single vertical. Pauta transcribes any audio from the computer or the microphone: online meetings, classes, interviews, appointments and videos. It also handles voice notes, which the product description groups with meetings and interviews as material it records, transcribes and turns into summaries and action items. The demo screens show day-to-day scenarios — a project meeting on a customer batch with three speakers, a coffee with the design team, a one-on-one with Rafael, and a roadmap review pulled from the calendar. Pauta is sold as a lifetime license: $5, marked down from $15, paid once with every future update included and no subscription or annual fees. Before buying, you can try it free for 7 days with no card required. A license activates on up to 2 computers — two Macs with the Mac license or two PCs with the Windows one — and you can deactivate an old computer to free a slot. The Mac version requires macOS 13 Ventura or later; the Windows version installs and updates through the Microsoft Store. After purchase the serial key arrives on the confirmation page and by email, payment is handled by Stripe, and activation happens in Pauta's license settings. iOS and Android builds are listed as work in progress with a waitlist. Taken together, Pauta positions itself as a private, pay-once replacement for bot-based meeting recorders: your microphone and system audio transcribed and summarized on your own Mac or Windows machine, speakers recognized by voice, and every conversation on a subject gathered into a project you can question.
FounderMail is email for founders who ship on Cloudflare. One click puts a Worker in your own Cloudflare account, and your domain has mail — real addresses on your own domain, for you, your team and your agents. You sign up, bring your Cloudflare account and your domains, and FounderMail does the rest: a small proxy sits in your Cloudflare account, mail comes in through it, and your replies go out the same way. Cloudflare sends and receives on your account, while FounderMail runs the mailbox behind it. The inbox lives at inbox.foundermail.app and holds every mailbox you hold in one list, personal and shared side by side, with each thread labelled by the mailbox it came to. The product is built for founders and small teams already running domains on Cloudflare who want real email without paying per seat and without forwarding to Gmail. The launch description frames FounderMail against two familiar alternatives: paying per seat for hosted email, and forwarding a domain's mail to Gmail. It also addresses a newer requirement — AI agents that need to work with mail. As the description states, you, your team and your AI agents work from the same inbox, and agents get their own access instead of your password. The site summarises the promise as "Cloudflare email without the setup or the maintenance," meaning the DNS records, the relay and the mailbox are handled for you rather than assembled by hand. FounderMail also draws a hard line: it will not install on a domain that already receives mail somewhere else. It checks, and it stops, because taking over that domain's MX records would end the existing mail. That makes the product suited to domains that are new to email or are being moved deliberately. The inbox itself is organised around a single unified view. All inboxes — every mailbox you hold — appear in one list, with personal and shared addresses side by side rather than scattered across separate accounts. Each thread is labelled with the mailbox it came to, so you can tell at a glance whether a message arrived at Ada, Team or Billing. The interface is keyboard first: j and k move between items, e archives, and ⌘K reaches everything else. The mobile inbox view shows thirteen conversations from one user's three mailboxes in one list, each tagged with its destination mailbox, which illustrates how the unified list works in practice. FounderMail is explicitly built for agents. It offers a REST API, OAuth and two MCP servers: one for mail and one for the control plane. A token issued for one is refused by the other, so access to mail does not silently become access to administration. Agent seats let you give an agent a seat on any inbox, and reading and sending are separate scopes — read-only means read-only. The site answers the question "Can an agent send as me?" directly: only if you let it. An agent given read access to a mailbox can read it and cannot send from it; give it send, and it sends from that mailbox's addresses. Agents can also be pointed at the published llms.txt at https://foundermail.app/llms.txt to discover how the service works. Shared addresses and multi-domain setups are first-class. Every address — hello@, sales@, support@ — can be held by as many people and agents as you like, so a support inbox can belong to an invited teammate and a read-only triage agent at the same time. One relay per Cloudflare account covers every domain on that account, and you can bring as many accounts as you have. Mail leaves from your domain with your own DKIM, SPF and DMARC records, so your domain's sending reputation is built on your own records rather than someone else's. The setup is described in three numbered steps. First, sign up: 14 days free, no card, so you can make an account and look around before connecting anything. Second, bring your Cloudflare account and domains, and FounderMail does the rest — the proxy in your Cloudflare account handles inbound and outbound, Cloudflare sends and receives on your account, and FounderMail runs the mailbox. Third, assign inboxes to as many people or agents as you like, each with addresses on your own domain. The requirements are explicit: your domain's DNS must be active on Cloudflare, on an account with the Workers Paid plan, because sending from your account needs it. The install proves that before it touches your domain's mail. Ownership is split in a way the site spells out. Yours: your Cloudflare account, the DNS records (MX, DKIM, SPF), the relay that sends and receives, your domain and every address on it, and your domain's sending reputation. Ours: the mailbox, stored on FounderMail's infrastructure. If you leave, you can take a copy first — every mailbox as an mbox file, from Settings → Your data in the console. If your subscription ends, FounderMail keeps your mail so you can come back or take it out, and gives you at least 30 days' notice before deleting it. The site also warns that disconnecting does not put your MX records back, so you should turn off Email Routing and publish your new records first before moving to another provider. Concrete workflows follow from the address model shown on the site. A founder can hold a personal inbox such as matthew@yourdomain.com as owner, while support@yourdomain.com is held by a teammate invited by email and simultaneously by a triage agent with a seat and read-only access. Billing addresses can be shared between an owner and another invited person. Because unlimited people, agents, mailboxes, addresses and domains are included on both plans, the same pattern scales from a single founder to a team running several domains across several Cloudflare accounts, all reachable from one inbox list. Agents that need to act on incoming mail can be granted read scope without send scope, which keeps automated triage separated from the ability to reply as the domain. On pricing, both plans start with 14 days free and no card. Founder is $20 a month with 20 GB of mail; Team is $200 a month with 200 GB of mail. People, agents, mailboxes, addresses and domains are unlimited on both. Storage is a fair-use allowance measured as the 30-day average of each day's peak; each email counts at least 10 KB, a message delivered to several mailboxes counts in each, and the Trash counts until it is emptied. FounderMail emails you at 80% and 100%, and states that your mail never stops because of it. One mailbox holds about 10 GB, and the console tells you when one is filling so you can add another. There is no service level agreement; the service is provided as it is. On data handling, FounderMail commits to processing your mail only on your instructions, keeping it confidential and secure, using only the providers its privacy notice names and telling you before adding one, notifying you without undue delay if a breach affects your mail, and deleting it when you do. FounderMail's primary value proposition is ownership without administration: real mail on the Cloudflare domains you already run, with your own DNS records and sending reputation, one inbox for every mailbox you hold, and first-class seats for AI agents whose read and send permissions are kept separate. For founders already on Cloudflare, it turns an awkward email decision into a single install.
Glasshand hosts real iPhones and Macs in its own data center and rents them, month to month, to AI agents. Instead of asking an agent to imagine what a phone or a desktop looks like, you give it an actual device that it can see and operate. You connect Claude Code, Codex, Cursor, OpenClaw, Hermes, or any other agent through the Glasshand API, and the agent rents an iPhone or a Mac from glasshand.com with a prompt. From there it can watch the screen and tap, type, or click exactly the way a person would. Glasshand is aimed at people who want their agents doing real work inside Apple's ecosystem: running social accounts, building and testing native apps in Xcode, or handling everyday admin that lives behind a sign-in. The page frames the core problem as realism. Glasshand runs real iPhones and Macs, "not virtual machines, emulators, or simulators," and asks why a real device is better. The answer it gives is that a rented device works just like the iPhone or Mac you use every day: it reaches Apple's ecosystem, it can carry a real phone number, and it can be locked with a password you set yourself. That matters for the kinds of tasks that break on a simulated device, such as installing apps from the App Store, receiving a verification text at a phone number, or completing sign-in and checkout flows on hardware that behaves like the phone in a customer's hand. Control happens through a dedicated controller. The agent asks the controller to show the screen, the controller looks, and the iPhone answers with what is displayed, for example the home screen. The agent then works through steps the way a person does: see the screen, open the browser, type a search, and check the result. Glasshand illustrates this with a simple goal, "Find the weather in San Francisco," where the agent reads the screen, opens the browser, types the query, and verifies the answer. Because the loop is see-then-act, the same approach carries from a one-off lookup to multi-step work inside apps, and the agent responds to what is actually on screen rather than to a fixed script. Because the hardware is genuine, the software is genuine too. Agents download real apps, including Instagram, TikTok, WhatsApp, and more, from the App Store rather than working against stripped-down replicas. An iPhone can also be given its own phone number by adding an eSIM plan with SMS, which lets the agent receive verification texts and use iMessage. That combination is what makes account-based work possible: a verification code arriving at the device's own number is exactly the step that stalls an agent running anywhere without one. Users also set a real password that locks the device, just as they would on their own phone. The third piece is account context. Users sign in to iCloud and the apps they already use, so the agent can work with calendars, contacts, messages, and files to get tasks done with the context it needs. This is the difference between an agent that can open an app and an agent that can act inside it. Glasshand also states that the setup persists: apps, files, and sign-ins stay put between tasks until the device is released. A single rented device therefore accumulates your configuration once, and every later task your agent runs starts from a device that is already signed in and already equipped. The rental lifecycle is stated plainly. Your device starts factory-reset, ready for your apps and accounts. It is not shared with other customers, it is yours alone, and you set the password. When you release it, Glasshand erases your data and restores the device to factory settings, and the controller is wiped and reset too. Sessions are not billed by the hour or the day; devices are rented month to month, and you can cancel at any time. If you cancel, your device stays available until the end of your current billing period, then your subscription ends. Getting started is designed to happen inside the agent's chat rather than in a separate console. You tell your agent to rent an iPhone or a Mac, paste the prompt Glasshand provides, and then approve and pay when the agent asks. The same flow is offered for both device types: rent an iPhone from glasshand.com and connect so the agent can see the screen, tap, and type, or rent a Mac and connect so it can see the screen, click, and type. Glasshand lists Claude Code, Codex, Cursor, OpenClaw, and Hermes as compatible, alongside any other agent that connects through the API, and a demo can be booked as well. Glasshand names three broad jobs. Running your socials means posting on Instagram, TikTok, and LinkedIn, replying to comments and DMs, finding leads, and following up, which depends on being signed in as a real account on a real app. Building and testing apps means building native apps in Xcode on a hosted Mac and testing sign-in and checkout on a real Mac or iPhone, so the flows that usually fail only in production get exercised on real hardware instead. Working with your accounts means signing in to iCloud and the apps you use so the agent can reach calendars, contacts, messages, and files. Everyday admin sits alongside these, and the site sums up a device's purpose as running social media, building and testing native apps, and handling everyday admin. The people this suits are those already directing agents and wanting them to reach places an API alone cannot: social media teams and founders posting across Instagram, TikTok, and LinkedIn; developers who need real hardware for Xcode builds and for sign-in and checkout tests; and anyone whose calendars, contacts, messages, and files live behind an iCloud sign-in. The requirement is an agent that can call the Glasshand API, such as Claude Code, Codex, Cursor, OpenClaw, Hermes, or anything else, and a willingness to rent month to month rather than by the hour or day. The proposition is narrow and concrete: your agent gets a real iPhone or Mac, hosted and maintained by Glasshand, that it controls by seeing the screen and acting on it, that keeps your apps and sign-ins between tasks, and that is erased and factory-reset when you let it go.