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.

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Native Desktop Agent vs Cloud VM - Why We Chose to Run on Your Actual Mac

Fazm Team·March 12, 2026·3 min read

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Native Desktop Agent vs Cloud VM

There are two fundamentally different approaches to AI desktop agents:

Cloud VM agents spin up a virtual machine in the cloud with a browser and basic tools. The AI controls the VM remotely. Claude Cowork and similar products take this approach.
Native agents run on your actual computer and control your actual apps through native APIs.

We chose the native approach for Fazm. Here is why.

The Context Problem

A cloud VM starts empty. It does not have your bookmarks, your saved passwords, your browser extensions, your email account, your CRM login, your Slack workspace. Every automation task starts with "first, log in to..."

Your Mac already has all of this. Your browser has your sessions. Your apps have your data. Your keychain has your passwords. A native agent inherits all of this context for free.

The App Problem

Cloud VMs typically give you a browser. That covers web apps, but your daily workflow probably includes native apps too - Finder, Mail, Calendar, Notes, Terminal, Xcode, Figma desktop, Slack desktop, VS Code. A cloud VM cannot touch any of these.

A native macOS agent can control any app that exposes an accessibility interface - which is every well-built Mac app. This is the same advantage that sets AI desktop agents apart from cloud-based automation platforms like Zapier and Make.

The Latency Problem

Every action in a cloud VM has network latency. Click, wait for the round-trip, see the result, plan the next action. For a 10-step workflow, you are adding 5-10 seconds of pure network overhead.

A native agent executes actions locally. Click to result is milliseconds, not seconds. The entire workflow feels instant.

The Privacy Tradeoff

Cloud VM agents process everything on remote servers. Native agents process everything on your machine. For an agent that needs to see your screen, read your documents, and access your accounts, the privacy implications are significant.

When Cloud VMs Win

Cloud VMs have one clear advantage: isolation. If the agent makes a mistake, it only affects the VM, not your real computer. A native agent operating on your actual system can cause real damage if it clicks the wrong button or sends the wrong email.

This is a real concern, and it is why Fazm uses an approval system for sensitive actions. The agent proposes a plan, you approve it, then it executes. For routine tasks you can set it to auto-approve. For anything involving sending messages or modifying important files, manual approval is the default.

Fazm runs natively on your Mac and controls your actual apps through accessibility APIs. Open source on GitHub. Based on discussions in r/aiagents. For a detailed comparison of leading AI agents, see ChatGPT Atlas vs Perplexity Comet vs Fazm or the best AI agents for desktop automation in 2026. You can also see how Fazm compares to screen observers in our Highlight AI comparison.

Native Desktop Agent vs Cloud VM - Why We Chose to Run on Your Actual Mac

Native Desktop Agent vs Cloud VM

The Context Problem

The App Problem

The Latency Problem

The Privacy Tradeoff

When Cloud VMs Win

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