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.

Cursor vs Codex vs Claude Code - Different Tools for Different Workflows

Fazm Team·March 18, 2026·3 min read

cursor codex claude-code ai-coding developer-tools

Cursor vs Codex vs Claude Code - Different Tools for Different Workflows

The "which AI coding tool is best" debate misses the point. These tools optimize for fundamentally different workflows. Picking the right one depends on how you work, not which model is smartest.

Cursor - IDE-Native Inline Editing

Cursor embeds AI directly into the editing experience. You highlight code, ask for changes, and see diffs inline. It is optimized for the developer who works in small increments - edit a function, ask for a refactor, accept or reject the change, move on.

The strength is speed for small edits. The weakness is context. Cursor works best when each interaction is self-contained. Multi-file refactors that require understanding the full architecture are harder because the tool is designed around the single-file editing loop.

Codex - Asynchronous Background Agent

GitHub Codex takes a different approach. You describe a task, Codex works on it in the background, and you review the result as a pull request. It is designed for the developer who wants to delegate entire tasks rather than pair-program line by line.

This works well for well-defined tasks - "add pagination to this API endpoint," "write tests for this module," "migrate this config format." It struggles with ambiguous tasks that require back-and-forth clarification, because the interaction model is fire-and-forget.

Claude Code - Terminal-Based Agentic Coding

Claude Code runs in your terminal and operates directly on your file system. It can read your codebase, make changes across multiple files, run your tests, and iterate based on results. It is closest to having another developer with terminal access.

The advantage is autonomy. Claude Code can handle multi-step tasks that span multiple files and require running commands to verify results. The tradeoff is that it needs more trust - it is making real changes to real files, not suggesting diffs in an IDE.

When to Use Each

Use Cursor for rapid iteration on focused changes within a single file. Use Codex when you have a clear, well-scoped task you want done without supervision. Use Claude Code for complex, multi-file work that benefits from an agent that can test its own output.

Most productive developers end up using more than one. The tools are complementary, not competitive.

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

Cursor vs Codex vs Claude Code - Different Tools for Different Workflows

Cursor vs Codex vs Claude Code - Different Tools for Different Workflows

Cursor - IDE-Native Inline Editing

Codex - Asynchronous Background Agent

Claude Code - Terminal-Based Agentic Coding

When to Use Each

More on This Topic

Related Posts

Codex vs Claude Code - A Practical Comparison for Real Development

The Minimal IDE Setup for Claude Code

Breaking Down Complex Projects for AI Coding Agents