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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Codex vs Claude Code - A Practical Comparison for Real Development

Fazm Team·March 16, 2026·2 min read

codexclaude-codecomparisonai-codingdeveloper-tools

Codex vs Claude Code - A Practical Comparison for Real Development

"Codex or Claude Code?" keeps coming up in developer communities. Both are AI coding tools, but they take fundamentally different approaches to how they integrate with your workflow.

Codex - Cloud-First Execution

OpenAI's Codex runs tasks in a cloud sandbox. You describe what you want, it spins up an environment, makes changes, and presents results for your review. This is clean and safe - the AI cannot accidentally break your local setup because it never touches your local setup.

The tradeoff is context. Codex does not see your local environment, your running services, your database state, or your custom tooling. Every task starts in a relatively clean room.

Claude Code - Local-First Agent Mode

Claude Code runs in your terminal as an agent. It reads your files directly, runs commands in your shell, and has access to your full development environment. When it needs to understand your project, it reads the actual code. When it needs to test something, it runs the actual tests.

The agent mode is where Claude Code pulls ahead for complex workflows. It can chain together file edits, shell commands, git operations, and tool invocations in a single flow. MCP (Model Context Protocol) integration means it can connect to external services - databases, APIs, documentation - as part of its reasoning loop.

Where Each Excels

Codex works well for isolated, well-defined tasks: "refactor this function," "add tests for this module," "fix this bug." The sandboxed execution means you do not have to worry about side effects.

Claude Code works better for tasks that require deep context: "investigate why this API is slow, check the logs, profile the database queries, and fix it." These tasks need access to your real environment, not a clean room.

The Desktop Automation Angle

Claude Code's local execution model also opens the door to desktop automation through tools like MCP servers. An AI coding assistant that can also control your browser, manage your files, and interact with native apps is more than a code generator - it is a development environment that responds to natural language.

This is the direction the space is heading. The question is not just "which tool writes better code" but "which tool integrates more deeply with how you actually work."

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

Codex vs Claude Code - A Practical Comparison for Real Development

Codex vs Claude Code - A Practical Comparison for Real Development

Codex - Cloud-First Execution

Claude Code - Local-First Agent Mode

Where Each Excels

The Desktop Automation Angle

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