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 Jira Automation

Engineers spend more time managing Jira than they would like to admit. Creating tickets from code reviews, writing descriptions that actually describe the work, linking blockers, updating sprints - it all adds up. Fazm reads your PR diffs, understands the code changes, and handles Jira for you.

The Jira Tax on Engineering Teams

Every pull request creates downstream work in Jira. You merge a PR that splits a monolithic dashboard into separate components, and now you need a follow-up ticket for the remaining migration work. That ticket needs a clear description of what was already done, what remains, which PR it is blocked by, and the right labels and story points.

Writing a good Jira ticket from a PR diff takes 10-15 minutes. You have to context-switch from code to project management, summarize technical changes in a way that is useful for the team, and navigate Jira's interface to set all the right fields. Multiply this by five PRs a day across a team, and you are looking at a significant chunk of engineering time spent on project management overhead.

Fazm eliminates this context switch entirely. You stay focused on code while Fazm handles the Jira work in the background - reading diffs, writing descriptions, setting fields, and linking issues.

What You Can Tell Fazm

"Create a Jira task for the Grafana dashboard split, blocked by the current PR"

"Look up the PR diff and write a description for the Jira ticket"

"Create follow-up Jira tickets for all the TODOs in this PR"

"Update the sprint board - move completed tickets and add the new ones from today's PRs"

"Close all Jira tickets that correspond to merged PRs this week"

How Fazm Creates Jira Tickets from PR Diffs

Here is what happens when you ask Fazm to create a Jira task from a pull request:

Fazm reads the pull request

The agent opens GitHub and navigates to the PR. It reads the complete diff - every file changed, every line added or removed, the commit messages, and the PR description. It understands the scope and intent of the code changes.

Fazm understands what follow-up work is needed

Based on the diff, Fazm identifies what was done and what remains. If the PR splits a dashboard component, Fazm recognizes that the remaining components still need migration. It also picks up TODO comments and open threads in the PR review.

Fazm navigates to Jira and creates the ticket

Fazm switches to Jira, opens the correct project, and creates a new issue. It selects the right issue type (task, story, bug), sets the priority, and assigns it to the appropriate sprint based on your team's current sprint.

Fazm writes a detailed description

The ticket description includes context from the PR - what was changed, why the follow-up is needed, which files are affected, and acceptance criteria. It links back to the original PR for reference.

Fazm sets blockers and relationships

If you mentioned that the new ticket is blocked by the current PR, Fazm creates the blocker link in Jira. It can also link related issues, set parent epics, and add the ticket to the right Jira board.

Benefits for Engineering Teams

Better ticket descriptions

AI-generated descriptions include actual code context - file names, function changes, and technical details that make tickets actionable.

No context switching

Stay in your IDE and let Fazm handle the Jira work. No more bouncing between GitHub and Jira five times a day.

Automatic blocking links

Fazm understands dependency relationships and creates blocker links, so your board accurately reflects what can and cannot be worked on.

Consistent ticket quality

Every ticket has a proper description, the right labels, correct story points, and sprint assignment. No more empty tickets with a one-line title.

Frequently Asked Questions

Can Fazm read GitHub PR diffs and create Jira tickets from them?

Yes. Fazm opens the PR in GitHub, reads the complete diff including file changes, commit messages, and PR description, then switches to Jira and creates a ticket with a description that accurately summarizes the code changes.

Does Fazm set the right Jira fields like story points, labels, and sprint?

Fazm can set any visible field in Jira including project, issue type, priority, story points, labels, components, sprint, assignee, and custom fields. You can specify these in your prompt or let Fazm use sensible defaults based on your team's patterns.

Can Fazm link Jira tickets as blockers or dependencies?

Yes. You can tell Fazm to create a ticket that is blocked by another ticket, blocks another ticket, or relates to existing issues. Fazm navigates the Jira linking interface to set up the correct relationship.

Does this work with Jira Cloud and Jira Data Center?

Fazm works with any version of Jira that runs in a browser on your Mac, including Jira Cloud, Jira Data Center, and Jira Server. It interacts with the UI directly, so it adapts to whichever version you use.

Can Fazm also work with Linear, Asana, or other project management tools?

Yes. Since Fazm operates at the desktop level rather than through APIs, it works with any project management tool - Linear, Asana, ClickUp, Monday.com, Shortcut, or anything else that runs on macOS.