How much time will I actually save with Fazm?

Most users report saving 45-90 minutes per day on repetitive tasks. The biggest time savings come from email management (drafting replies, sorting, archiving), form filling (expense reports, CRM updates, applications), research (comparing products, gathering data from multiple sites), and social media (cross-posting, scheduling, replying). For example, booking a flight that normally takes 10 minutes of clicking through airline sites takes a single voice command with Fazm. Filing an expense report that requires opening a PDF, extracting numbers, and entering them into a spreadsheet becomes one spoken sentence. The more repetitive and multi-step your daily work is, the more time you get back.

What exactly can Fazm control?

Fazm controls everything you can do manually on your Mac. That includes mouse movements and clicks, keyboard typing, browser navigation and form filling, app switching, file management in Finder, and system-level actions. It uses direct browser DOM control for web interactions - meaning it reads and manipulates the actual page structure rather than taking screenshots and guessing where to click. For native macOS apps, Fazm uses accessibility APIs to interact with buttons, menus, text fields, and other UI elements. This works across any application: Chrome, Safari, VS Code, Slack, Figma, Terminal, Mail, Calendar, and more.

How is Fazm different from ChatGPT or Claude?

Chatbots like ChatGPT and Claude give you answers in a conversation window. Fazm takes action directly on your computer. When you say 'reply to Sarah's email,' Fazm opens your email app, finds Sarah's message, writes a contextual reply, and sends it. A chatbot would tell you what to write, but you still have to do all the clicking and typing yourself. Fazm moves your mouse, types on your keyboard, clicks buttons, and navigates between apps. It is a computer agent, not a chat assistant.

How does the memory layer work?

Fazm builds a personal knowledge graph by extracting information from your files, browsing history, conversations, and daily activity. Over time, it learns your contacts (names, emails, relationships), accounts and credentials, preferences (formatting, tone, scheduling habits), and frequently used workflows. In your first week, you might say 'Reply to Sarah's email, she's my cofounder, her email is sarah@acme.com.' By week four, you just say 'Reply to Sarah' because Fazm already knows who she is. By week eight, Fazm can draft the reply before you even ask. All of this data stays locally on your Mac - your knowledge graph never leaves your machine or gets sent to any cloud service.

Is Fazm safe? Can it mess up my computer?

Safety is built into every layer of Fazm. You watch every action in real-time on your screen - Fazm moves your mouse and types visibly, so there is nothing hidden. You can stop any action at any point by pressing a keyboard shortcut. Fazm also shows you what it plans to do before executing destructive actions like deleting files or sending emails, giving you a chance to confirm or cancel. Because Fazm is open source, the code is fully auditable on GitHub. There is no hidden behavior, no background processes making changes you cannot see, and no actions that bypass your screen.

What platforms does Fazm support?

Fazm currently supports macOS, running natively on both Apple Silicon (M1, M2, M3, M4) and Intel Macs. It is built with Swift and uses macOS-specific frameworks like ScreenCaptureKit for screen analysis and Accessibility APIs for app control, which is why macOS is the primary platform. Windows and Linux support are on the roadmap but do not have release dates yet. You can also control your Mac remotely from your phone using Fazm Remote, which gives you voice access to your desktop while you are away from your computer.

How does Fazm voice input work?

One keyboard shortcut activates push-to-talk. Hold the key, speak naturally about what you need done, and release. Fazm transcribes your speech locally using on-device models, so there is no network latency for the voice recognition step. You do not need wake words like 'Hey Siri' or 'OK Google' - just press and talk. You can also type commands into the floating toolbar if you prefer text input. Fazm understands natural language, so you do not need to memorize specific commands. Say 'book me a flight to Tokyo next Thursday' or 'find the cheapest AirPods on Amazon' and Fazm figures out the steps.

Is my data sent to the cloud?

Fazm processes screen analysis and memory entirely on your machine. The personal knowledge graph, file indexing, and screen capture all run locally. The only data that leaves your Mac is the intent - a text description of what you want to accomplish, which is sent to the AI model (Claude or GPT) for action planning. Your actual screen content, file contents, browsing history, and personal knowledge graph never leave your computer. Fazm is also open source, so you can verify exactly what data is transmitted by reading the code on GitHub. For users who need complete air-gapped operation, local model support is planned.

Screen Studio Alternatives with Auto-Zoom for Better macOS App Demos

Fazm Team·March 17, 2026·3 min read

screen-recording macos screen-studio demos video developer-tools

Screen Studio Alternatives with Auto-Zoom for Better macOS App Demos

If you record demos of your macOS app regularly, you know the pain. You start the recording, click through a workflow, and the result is a full-screen capture where the important UI elements are tiny. Viewers cannot see what you are clicking. The cursor is a pixel-sized dot lost in a 3024x1964 canvas.

Auto-zoom based on mouse activity is the feature that fixes this, and it is the reason Screen Studio got so popular with developers.

How Auto-Zoom Works

The concept is simple - the recording software tracks your mouse movement and automatically crops and zooms the video to follow the action. When you click a button in the top-left corner, the recording zooms into that area. When you move to a different part of the screen, it smoothly pans to follow.

The result looks like you had a professional camera operator tracking your workflow. But it is fully automatic, applied in post-processing.

Screen Studio's Approach

Screen Studio records the full screen and then applies auto-zoom in post. You can adjust the zoom level, the smoothness of transitions, and which areas to emphasize. The key insight is that recording happens at full resolution, so you never lose quality when zooming in.

For macOS app demos specifically, this means:

Menu bar interactions are visible without recording at 2x zoom from the start
Small UI controls become readable in the final video
The viewer's attention follows your workflow naturally

Alternatives Worth Considering

Several tools now offer similar auto-zoom capabilities:

OBS with plugins - free, but requires manual configuration and the zoom is less smooth
Loom - has basic zoom but not as intelligent about mouse tracking
Custom ScreenCaptureKit pipelines - if you want full control, you can build your own using Apple's framework and add zoom in post-processing with ffmpeg

For most developers recording app demos, Screen Studio is still the best option specifically because of how well its auto-zoom handles macOS UI patterns. The alternatives work but require more manual adjustment.

Tips for Better Demo Recordings

Move your mouse deliberately and pause on important elements. Auto-zoom works best when there are clear focal points. If you wave the cursor around frantically, the zoom will hunt and the video will feel chaotic.

Record at your native resolution and let the auto-zoom handle framing. Do not pre-zoom your display - you lose the context that makes the demo understandable.

Fazm is an open source macOS AI agent. Open source on GitHub.

Screen Studio Alternatives with Auto-Zoom for Better macOS App Demos

Screen Studio Alternatives with Auto-Zoom for Better macOS App Demos

How Auto-Zoom Works

Screen Studio's Approach

Alternatives Worth Considering

Tips for Better Demo Recordings

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