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.

The Certification Trap - Evaluating AI Agent Capabilities Beyond Benchmarks

Fazm Team·March 18, 2026·2 min read

ai-agent evaluation benchmarks certifications capabilities testing

The Certification Trap - Evaluating AI Agent Capabilities

An AI agent that aces every benchmark can still fail on your specific workflow. Certifications and benchmark scores are the resume equivalent of verified badges - they tell you someone checked a box, not whether the agent can actually do the job.

Why Benchmarks Mislead

Benchmarks test agents on standardized tasks with clean inputs and well-defined success criteria. Real work has ambiguous instructions, messy data, and success criteria that change mid-task. An agent that scores 95% on a file management benchmark might struggle with your actual file organization because your naming conventions are inconsistent and your folder structure evolved organically over five years.

The benchmark environment is not your environment. The gap between the two is where agents fail.

The Certification Problem

Certifications for AI tools are emerging fast. "Enterprise ready." "SOC 2 compliant." "ISO certified." These matter for security and compliance. They do not tell you whether the agent can handle your invoice processing workflow or navigate your specific CRM without breaking data.

A certified agent that cannot do your job is less useful than an uncertified agent that can.

How to Actually Evaluate

Skip the benchmarks. Test on your real work.

Pick your three most common workflows - the tasks you or your team do every day
Run the agent on real examples - use actual files, actual apps, actual data (sanitized if needed for privacy)
Measure what matters to you - completion rate, error rate, time saved, and how often you need to intervene
Test edge cases from your domain - every industry has specific quirks that benchmarks never cover
Run the test over days, not minutes - single-session performance tells you nothing about reliability over time

The Only Benchmark That Matters

Does the agent save you time on your actual work, with your actual tools, without creating new problems? That is the only evaluation that counts. Everything else is marketing.

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

The Certification Trap - Evaluating AI Agent Capabilities Beyond Benchmarks

The Certification Trap - Evaluating AI Agent Capabilities

Why Benchmarks Mislead

The Certification Problem

How to Actually Evaluate

The Only Benchmark That Matters

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