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.

Does Fazm work in languages other than English?

Yes. Fazm works in any language - English, Russian, Spanish, German, Japanese, and more. You can speak or type in your preferred language and Fazm will understand and act. Some of our most active users run their entire workday in Russian, issuing voice commands to manage Jira tickets, write Slack messages, and navigate internal tools. There is no language setting to configure - just speak or type naturally and Fazm handles it.

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.

Does Fazm replace human code reviewers?

No. Fazm handles the first pass of code review - catching obvious issues, enforcing coding standards, and flagging potential bugs. This means human reviewers can focus on architecture, design decisions, and business logic instead of spending time on formatting and typos.

What repositories does Fazm work with?

Fazm works with any repository accessible through a web browser - GitHub, GitLab, Bitbucket, or self-hosted instances. Since Fazm interacts with the web interface directly, it does not need API keys or special integrations.

AI PR Review Automation

Your team pushes code all day. By morning, ten pull requests are waiting for review. Fazm reviews them overnight - reading diffs, catching bugs, leaving comments, and fixing simple issues - so your engineers start the day merging instead of reviewing.

Code Review Is a Bottleneck

Pull request reviews are essential for code quality, but they create a constant bottleneck. A developer finishes a feature at 4pm, opens a PR, and waits. Maybe someone reviews it tomorrow morning. Maybe it sits for two days because the team is heads-down on their own work. The PR queue grows, context gets stale, and merge conflicts multiply.

The first round of review usually catches the same predictable issues - missing error handling, inconsistent naming, formatting violations, obvious logic errors, and missing test cases. These are important catches, but they do not require deep architectural thinking. They require someone to read the diff carefully and flag the obvious problems.

That first pass is exactly what Fazm automates. Set it to review open PRs every two hours overnight, and by the time your team sits down in the morning, every PR has detailed inline comments on potential issues. Simple fixes are already committed. Your senior engineers can skip the tedious first-pass review and focus on design decisions and architecture.

What Fazm Catches in Code Reviews

✓Missing error handling and null checks

✓Inconsistent naming conventions

✓Potential security vulnerabilities

✓Unused imports and dead code

✓Missing or incomplete test coverage

✓Performance anti-patterns

✓Formatting and style violations

✓Race conditions and async issues

✓Hard-coded values that should be config

✓Missing documentation for public APIs

How Overnight PR Reviews Work

Set up the schedule

Tell Fazm: "Review all open PRs in the fazm-website repo every 2 hours from 10pm to 8am." You can customize which repos to watch, what to focus on, and how aggressive to be with fix commits.

Fazm scans open PRs

At each interval, Fazm opens GitHub, checks for new or updated PRs, and queues them for review. It skips PRs it has already reviewed unless new commits have been pushed.

Deep diff analysis

For each PR, Fazm reads the full diff, understands the context of the changes, checks for common issues, and evaluates code quality against your team's patterns and conventions.

Inline comments and suggestions

Fazm leaves detailed inline comments on specific lines, explaining what the issue is and suggesting a fix. Comments are constructive and specific - not generic warnings.

Automatic fix commits

For straightforward issues like typos, missing null checks, or formatting problems, Fazm creates a fix commit directly on the PR branch. More complex issues get detailed comments instead.

Example PR Review Commands

“Review all open PRs in the fazm-website repo every 2 hours overnight”

Fazm runs a review loop from 10pm to 8am, checking for new PRs every 2 hours. Each PR gets a thorough review with inline comments and fix commits where appropriate.

“Review PR #247 and focus on security issues and input validation”

Fazm does a targeted security review, checking for SQL injection, XSS, CSRF, improper input validation, and authentication bypass vulnerabilities.

“Review the latest PR and check if it follows our TypeScript conventions”

Fazm checks for consistent type annotations, proper use of interfaces vs types, null safety patterns, and adherence to your team's TypeScript style guide.

Benefits of AI-Powered PR Reviews

Faster merge cycles

PRs get reviewed overnight instead of waiting in queue for 1-2 days. Engineers start the morning merging, not reviewing.

Consistent quality

Every PR gets the same thorough review. Fazm never has an off day, never rushes through a review, and never misses obvious issues.

Free up senior engineers

Senior developers spend time on architecture and design reviews instead of catching typos and missing null checks.

Catch issues earlier

Issues found at PR time are 10x cheaper to fix than issues found in production. Fazm catches them before merge.

Works with any repo

GitHub, GitLab, Bitbucket - if it has a web interface, Fazm can review PRs on it. No API setup required.

Learns your codebase

Fazm understands your project's patterns and conventions. It flags code that deviates from how your team usually writes things.

Frequently Asked Questions

How does Fazm review pull requests?

Fazm opens GitHub in your browser, navigates to each open PR, reads the complete diff, understands the context, and leaves detailed inline comments. It identifies bugs, suggests improvements, flags security concerns, and creates fix commits for simple issues.

Can Fazm create fix commits automatically?

Yes. For straightforward issues like typos, missing null checks, formatting, or simple logic errors, Fazm creates a fix commit on the PR branch. For complex issues, it leaves a detailed comment explaining the problem and suggesting a solution.

Does Fazm replace human reviewers?

No. Fazm handles the first pass - catching obvious issues and enforcing standards. Human reviewers focus on architecture, design, and business logic. Think of it as a tireless junior reviewer that catches the easy stuff so seniors can focus on the hard stuff.

What platforms does it work with?

Fazm works with any code hosting platform accessible through a browser - GitHub, GitLab, Bitbucket, or self-hosted instances. No API keys or special integrations needed.

Start Reviewing PRs Overnight

Download Fazm and set up automated PR reviews in under five minutes.

Download Fazm

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