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.

AI Visual Tasks on macOS

Most AI assistants are blind. They can process text and follow instructions, but they cannot see what is actually on your screen. Fazm is different. It understands images, charts, layouts, colors, and spatial relationships - the same way you do when you look at your monitor. This visual intelligence unlocks a category of automation that text-only tools simply cannot touch.

What Visual Understanding Enables

Think about how much of your daily computer work is inherently visual. You glance at a dashboard chart to check if revenue is up. You scan a design mockup to find the button that needs to move. You compare two browser tabs side by side to spot differences. You look at an error dialog to figure out what went wrong. All of these tasks require seeing and interpreting what is on screen - not just reading text.

Fazm combines visual understanding with direct desktop control. It does not just recognize that there is a chart on screen - it can read the values, identify trends, and take action based on what it sees. It can find a specific button in a cluttered interface, read data from a rendered table that is not selectable as text, or understand a diagram well enough to describe it. This makes Fazm effective with apps that have poor accessibility support, complex visual interfaces, or image-heavy content.

Visual Tasks You Can Give Fazm

✓"Look at this dashboard and tell me which metric is trending down"

✓"Compare these two design mockups and list the differences"

✓"Read the data from this chart and put it in a spreadsheet"

✓"Find the 'Advanced Settings' button in this app - it is somewhere in the sidebar"

✓"Take this wireframe and describe the layout in words for the developer"

✓"Check if the error dialog on screen says something about permissions"

✓"Read the text in this infographic and summarize the key points"

How Fazm Processes Visual Information

Capture the screen state

Fazm reads your screen using macOS accessibility APIs and local visual processing. It builds a complete understanding of what is visible - text, images, UI elements, and their spatial relationships.

Interpret visual context

Beyond text extraction, Fazm understands charts (trends, values, labels), layouts (where buttons are, how panels relate), and visual cues (colors indicating status, icons representing actions).

Map vision to action

Based on your command and its visual understanding, Fazm determines which elements to interact with - clicking buttons it identified visually, reading values from rendered charts, or navigating complex interfaces.

Execute with precision

Fazm interacts with the identified elements using accessibility APIs when available, and visual targeting when needed. It confirms each action visually to ensure accuracy.

Where Visual AI Shines

Dashboard analysis

Fazm reads Grafana, Datadog, Google Analytics, and other dashboards visually - identifying anomalies, reading metrics, and summarizing trends without API access.

Design review

Compare mockups, identify spacing issues, check color consistency, and translate visual designs into written specifications for developers.

Data extraction from images

Pull numbers from charts, tables rendered as images, infographics, and other visual data formats that are not copy-pasteable.

Complex app navigation

Some enterprise apps have deeply nested menus and unlabeled icons. Fazm uses visual cues to find and click the right elements.

A Real-World Example

A data analyst needed to extract weekly performance numbers from a Tableau dashboard that did not offer CSV export. The charts were rendered as interactive visualizations - you could hover to see values, but there was no way to select or copy the data.

"Read the bar chart on the Tableau dashboard showing weekly revenue by region. Put all the values in a Google Sheet with columns for Region, Week, and Revenue."

Fazm visually read each bar in the chart, identified the region labels and week headers, extracted 48 data points, and populated a clean Google Sheet in under two minutes. What used to require manual hovering and transcription now happens automatically.

Frequently Asked Questions

How does Fazm's visual understanding differ from OCR?+

OCR only extracts text from images. Fazm understands spatial relationships, colors, layouts, charts, icons, and UI elements. It knows that a red button labeled 'Delete' is dangerous or that a chart is trending upward.

Can Fazm interact with apps that do not have accessibility labels?+

Yes. When accessibility APIs do not provide enough information, Fazm falls back to visual understanding to identify buttons, menus, and interactive elements by their appearance.

Does Fazm take screenshots of my screen?+

Fazm processes your screen content locally on your Mac. No screenshots or screen data leave your machine.

What types of visual content can Fazm understand?+

Charts and graphs, UI layouts, images, design mockups, data tables rendered as images, maps, diagrams, and any other visual content on your screen.