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.

PILLAR PAGE - DEVOPS

AI DevOps Monitoring

On-call rotations are brutal. Between Slack channels firing alerts at 3 AM, Grafana dashboards full of red spikes, and log files growing faster than anyone can read them, keeping infrastructure healthy has become a full-time job on top of your actual full-time job. Fazm changes that by turning your Mac into an AI-powered DevOps analyst that monitors, triages, and reports on infrastructure issues while you focus on building.

Why Infrastructure Monitoring Still Burns Out Engineers

Modern infrastructure generates an overwhelming volume of signals. A typical production environment might fire hundreds of alerts per day across PagerDuty, Slack, Datadog, and Grafana. Most of these are noise - transient spikes, known issues, or alerts that resolved themselves before anyone had time to look. But buried in that noise are the real problems, and missing them can mean downtime, data loss, or a very unhappy postmortem meeting.

The traditional approach to managing this involves a human on-call engineer staring at multiple dashboards, manually correlating alerts across channels, and writing up incident summaries after the fact. This is slow, error-prone, and exhausting. Alert fatigue is real - when every notification looks the same, the critical ones get buried alongside the trivial ones.

Fazm takes a different approach. Instead of adding another integration or dashboard to your monitoring stack, it works at the desktop level. It opens your existing tools - Slack, Grafana, CloudWatch, Datadog, whatever you use - reads them the same way a human would, and synthesizes the information into actionable summaries. No API keys to configure, no webhooks to set up, no new vendor to onboard.

DevOps Tasks You Can Automate with Fazm

✓"Analyze this Slack alerting channel and find the root cause"

✓"Check what Grafana dashboards we can create from these metrics"

✓"Write a message analyzing the problem in simple English"

✓"Add latency panel to Grafana dashboard and sync to staging"

✓"Scan error logs every 15 minutes and triage issues"

✓"Run deployment health checks after every release"

✓"Summarize overnight incidents for the morning standup"

These are real prompts that Fazm users give to automate their DevOps workflows. Press the hotkey, describe the task, and Fazm handles the rest.

How Fazm Automates DevOps Monitoring

Point Fazm at your alerting channels

Press the Fazm hotkey and say something like 'Check the #prod-alerts channel in Slack and tell me what happened overnight.' You can specify time ranges, severity levels, or specific services to focus on.

Fazm reads and correlates alerts

Fazm opens Slack, scrolls through the alerting channel, reads each alert message including stacktraces and metadata. It groups related alerts together, identifies recurring patterns, and separates noise from genuine issues.

Cross-references with dashboards

Fazm opens your Grafana or Datadog dashboards, reads metric values, and correlates them with the alerts it found. It checks whether CPU spikes coincided with error rate increases, whether deployment timestamps line up with the incident window, and so on.

Delivers a structured analysis

Fazm produces a root cause analysis in plain English, covering what happened, when it started, what the likely cause was, and what to do about it. It can post this summary directly to Confluence, Slack, or any documentation tool your team uses.

Real DevOps Scenarios Where Fazm Shines

The overnight alert storm

You wake up to 47 unread messages in #prod-alerts. Instead of spending 30 minutes scrolling through them, you tell Fazm: "Summarize what happened in #prod-alerts since midnight and identify anything that needs immediate attention." Fazm reads every message, groups related alerts, and tells you that 44 were transient CPU spikes that self-resolved, two were a known issue with the caching layer, and one is a new database connection pool exhaustion that started at 4:12 AM and is still active. You go straight to the one that matters.

Building Grafana dashboards from raw metrics

Your team just shipped a new microservice and needs visibility into its performance. You tell Fazm: "Check what Prometheus metrics are available for the payment-service and create a Grafana dashboard with latency, error rate, and throughput panels." Fazm opens Grafana, navigates to the data source explorer, identifies the relevant metrics, creates a new dashboard with properly configured panels, and sets up appropriate thresholds for alerting.

Scheduled deployment health checks

Every time your team deploys to production, you need someone to verify that error rates did not spike and latency stayed within bounds. You schedule Fazm to run a health check 10 minutes after every deploy. It opens Grafana, compares the last 10 minutes of metrics against the previous baseline, and posts a green or red status update to your #deploys Slack channel. If something looks wrong, it includes the relevant graphs and a suggested rollback command.

Why Fazm Beats Traditional Monitoring Tools

No integration required

Fazm works with whatever tools you already use - Slack, Grafana, Datadog, CloudWatch, PagerDuty. It reads the UI directly, so there are no API keys to manage or webhooks to configure.

Understands context

Unlike rule-based alerting that fires on thresholds, Fazm can read a Slack thread, understand the conversation between engineers, and determine whether an issue was already resolved or still needs attention.

Runs locally and privately

Your infrastructure data, alert messages, and production metrics never leave your Mac. Fazm processes everything on-device, making it safe for teams with strict data governance requirements.

Frequently Asked Questions

Can Fazm actually read and analyze Slack alerts?

Yes. Fazm controls your Mac desktop directly, so it opens Slack, navigates to alerting channels, reads message content including stacktraces and error details, and synthesizes the information into a structured summary. It works with any Slack workspace you are logged into.

Does Fazm integrate with Grafana?

Fazm interacts with Grafana through the browser UI on your Mac. It can open dashboards, read metric values, analyze graphs, and even create new panels. Because it controls the actual browser, it works with any Grafana instance you can access - cloud or self-hosted.

Can Fazm write root cause analyses automatically?

Yes. Fazm can gather context from Slack threads, Grafana dashboards, and log files, then produce a structured root cause analysis in plain English. It can post this directly to Confluence, Notion, or any documentation tool your team uses.

Can I schedule Fazm to monitor alerts continuously?

Yes. You can schedule Fazm to run monitoring loops at any interval - every 15 minutes, hourly, or overnight. It checks alerting channels, triages new incidents, and notifies you only when something requires human attention.

Does Fazm send my infrastructure data to external servers?

No. Fazm runs entirely on your Mac and processes everything locally. Your Slack messages, Grafana metrics, and infrastructure data never leave your machine. This makes it safe for teams working with sensitive production systems.

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Stop Drowning in Alerts

Download Fazm for macOS and let AI triage your infrastructure alerts, analyze dashboards, and write root cause reports.

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