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 Postmortem Writer

An incident just resolved at 2 AM. The Slack channel has 400 messages across 12 hours. Now someone needs to turn that chaos into a structured postmortem document. With Fazm, that someone is an AI agent that reads every message, builds the timeline, and writes the report in Confluence - in minutes, not hours.

The Postmortem Problem Every Team Faces

Postmortems are critical for learning from incidents and preventing recurrence. But in practice, they are one of the most dreaded tasks in engineering. The person who writes the postmortem has to scroll through hundreds of Slack messages, piece together a coherent timeline from fragmented conversations, identify what went wrong among speculation and false leads, and format everything into the team's template.

This typically takes 2-4 hours of focused work. Because it is tedious, postmortems often get delayed for days or weeks, at which point the details are fuzzy and the lessons are diluted. Some teams skip them entirely, losing the opportunity to improve their systems.

Fazm changes this dynamic completely. Within minutes of an incident resolving, you can have a complete, well-structured postmortem document ready for review. The AI reads the raw conversation and produces a document that the on-call engineer can review, refine, and publish rather than write from scratch.

What You Can Tell Fazm

"Write a postmortem in Confluence based on this Slack incident channel"

"Create an incident report from the #sev1-payment-outage channel - use our standard template"

"Read the incident thread and draft a blameless postmortem with timeline and action items"

"Generate a post-incident review document from Slack and create follow-up Jira tickets"

How Fazm Writes a Postmortem from Slack

Fazm reads the entire incident channel

The agent opens Slack, navigates to the incident channel, and scrolls through every message from start to finish. It reads timestamps, thread replies, shared screenshots, linked dashboards, and emoji reactions (like the checkmark reactions that often mark resolution steps).

Fazm builds a chronological timeline

From the raw conversation, Fazm constructs a timeline: when the alert fired, who was paged, when the problem was identified, what mitigation steps were tried, which ones worked, and when the incident was resolved. It distinguishes between investigation chatter and actual milestone events.

Fazm identifies root cause and contributing factors

By analyzing the discussion, Fazm identifies the root cause (e.g., 'a database migration ran without proper locking') and contributing factors (e.g., 'no migration rollback procedure was documented'). It uses the team's own language and findings rather than speculating.

Fazm extracts action items with owners

The agent finds every commitment made during the incident - 'we need to add alerting for this', 'someone should update the runbook' - and compiles them into a prioritized list. It suggests owners based on who raised each point or volunteered for the task.

Fazm creates the document in Confluence

Finally, Fazm opens Confluence, navigates to the right space, uses the team's postmortem template (or creates a standard one), and fills in every section: Summary, Impact, Timeline, Root Cause Analysis, Contributing Factors, Action Items, and Lessons Learned.

Why AI-Generated Postmortems Are Better

Written within minutes, not days

A postmortem that would take 3 hours of manual work is ready for review in under 10 minutes. No more week-long delays.

Nothing gets missed

Humans skim 400 messages and miss details. Fazm reads every single message, thread reply, and shared link in the channel.

Consistent format every time

Every postmortem follows your team's template exactly. No more inconsistent documents that make cross-incident analysis difficult.

Blameless by default

Fazm focuses on systems and processes rather than individuals. The generated document naturally follows blameless postmortem best practices.

Frequently Asked Questions

Can Fazm follow our existing postmortem template?

Yes. Fazm can read your team's existing postmortem template in Confluence (or any other wiki) and fill in each section - Summary, Timeline, Root Cause, Impact, Action Items - based on what it finds in the Slack incident channel.

How accurate is the AI-generated timeline?

Fazm reads every message in the incident channel with timestamps, so the timeline is directly sourced from the actual conversation. It identifies alert triggers, investigation steps, mitigation actions, and resolution markers based on message content and reactions.

Does Fazm identify action items from the incident discussion?

Yes. Fazm scans for commitments made during the incident ('we should add monitoring for this', 'need to update the runbook') and compiles them into a prioritized action items list with suggested owners based on who raised each point.

Can Fazm write postmortems in Notion or Google Docs instead of Confluence?

Absolutely. Fazm works with any application on your Mac. Just say 'write the postmortem in Notion' or 'create a Google Doc with the postmortem' and Fazm will use that tool instead.