Overview
- Reclaim your workday with automatic time tracking that categorizes every app, site, and session into focus, neutral, or drift time—no manual timers or tagging needed.
- Gain a clear productivity picture with AI classification (Gemini, DeepSeek, Qwen) that reads activity context to separate focused work from distractions.
- Protect your privacy with activity-context tracking that never records your screen or saves screenshots, giving you peace of mind while you work.
- Control your data by choosing where your AI model runs—locally on your Mac, in the drifty Cloud, or via your own API key—for maximum flexibility and security.
- Spot patterns instantly with a daily activity timeline that breaks your day into three-minute blocks labeled as focus, neutral, or drift, so you can review exactly what filled each hour.
- Plan better weeks with a weekly focus profile heatmap that highlights your most productive times and drift periods, helping you schedule deep work when you're sharpest.
- Stay on track with the Drift Alarm that alerts you when you start to drift and suggests context-aware next moves like returning to a recent focus tab or taking a short break.
- Understand your sessions in depth with detailed insights that reveal what you actually did, where (apps and sites), and how that shaped your day—empowering smarter productivity decisions.
Pros & Cons
Pros
- Automatic time tracking
- Private time tracking
- No manual timers
- Activity context labeling
- Automatic Tagging
- Gemini, DeepSeek, Qwen classifiers
- Privacy protecting measures
- No screen recording
- Minimal context labels
- Activity timeline presentation
- Weekly focus profile
- Detailed session insights
- Returning focus alarm
- Enhancing productivity
- Work pattern analysis
- Work context categorization
- Visual app/site/session capture
- Context engine model routes
- No model setup
- Privacy control settings
- Focus/Drift rhythm insights
- Built for real work patterns
- Background capture functionality
- 3-minute recording blocks
- No timer initiation needed
- Daily activity timeline
- Weekly calendar from captured activity
- 9 smart categories
- Session-level detail
- Zero manual tagging
- On-device operation
- Recurring pattern insights
- Weekly focus heatmap
- Drift Alarm feature
- Return to focus suggestions
- Context-specific suggestions
- Extreme nudge closes loop
- Recorded app/site/session context
- No screen recording or screenshots
- Built for Mac
- Same-app understanding
- Displays work context
- Alerts for returning to focus
- Free starting price
- Compare productivity trackers
Cons
- Mac exclusive
- Potential high RAM usage
- Needs internet for certain features
- No manual tagging option
- Strict focus enforcement can interrupt
- No visual surveillance
- Missing in-app focus distinction
- Costly API key usage
Reviews
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❓ Frequently Asked Questions
Drifty is an AI-based time tracker designed to monitor the use of different applications, providing insight into the user's workday. It goes beyond app-level tracking and distinguishes between focus and drift time within an application. This approach provides a clear representation of productivity.
Drifty's key features include automated time tracking, activity classification (focus, neutral, or drift time), AI modeling, and flexible AI deployment. It does not require manual timers or tagging, as it automatically records apps, sites, and sessions used throughout a day and categorizes them into their respective work contexts. Other features include a daily activity timeline, weekly focus profile, detailed session insights, and a returning to focus alarm. Privacy is a dominant feature, with no screen recording or saved screenshots.
Drifty's AI technology works by recording the active app, site, and session in the background and then using artificial intelligence to classify the captured activity. It employs fast model routes to label the captured activities as Focus, Neutral, or Drift, without asking the users to tag it. It reads the activity context and classifies each moment as focus or drift.
During a workday, Drifty records the use of different applications, websites, and sessions. It logs the time spent across these and categorizes them into their respective work contexts.
Drifty differentiates between focus and drift time by classifying each session's activity context. It monitors usage and automatically tags captured activities as focus, neutral, or drift time using its AI classification system.
Drifty classifies activities using its AI classification system. Named Gemini, DeepSeek, and Qwen, these systems automatically tag captured activities as focus, neutral, or drift time by understanding the context in which each one is completed.
Drifty uses three different AI classification systems called Gemini, DeepSeek, and Qwen. These systems serve to automatically tag captured activities as focus, neutral, or drift time.
Yes, with Drifty, users have the flexibility to choose where they want their AI model to run. Options include running the model locally on the user's Mac, in the Drifty cloud, or via their own API key.
Absolutely. Drifty has been designed with a privacy-first approach. It does not enable screen recording or save screenshots. The product operates around activity context not visual surveillance. Users also have control over where their AI model runs, giving them an additional layer of privacy control.
No, Drifty does not record the screen or save screenshots. It is designed keeping privacy as a priority and operates around activity context, not visual surveillance.
Drifty has comprehensive capabilities for tracking and presenting productivity data. It automatically records apps, sites, and sessions used throughout the day and categorizes them into their respective work contexts. It also presents a daily activity timeline, a weekly focus profile, and detailed session insights. It goes beyond app-level tracking, using AI to separate focus from drift, and reveal clearer workday insights.
Yes, Drifty does provide detailed insights for sessions. It categorizes the shape of the day, where it occurred (apps and sites used), and what was actually done during the time. This level of detail aids in analyzing and understanding productivity patterns.
Yes, Drifty does have an alarm feature that notifies the user when they begin to drift. The 'Drift Alarm' then suggests next moves in context, such as returning to a recent focus tab, taking a short break, or tagging the moment as not a drift.
Gemini, DeepSeek, and Qwen are AI classification systems used by Drifty to tag activities as focus, neutral, or drift time. However, specific detailed differences between the three are not provided.
Yes, you can customize your Drifty experience by choosing where you want your AI model to run – locally on your Mac, in the Drifty Cloud, or with your own API key. You can also review and analyze your activity data to enhance productivity.
The daily activity timeline in Drifty is a details visualization of user activities in three-minute blocks. These blocks are labeled as focus, neutral, or drift times, allowing users to review their entire day or switch views to see what filled each hour.
Drifty's AI model can run in different locations, as per user preference. This includes locally on the user's Mac, in the Drifty Cloud, or via the user's own API key.
Yes, Drifty does have a function to sort activities into work context categories. It automatically records apps, sites, and sessions used throughout the day and categorizes them into their respective work contexts without requiring any manual tagging.
Yes, you can install Drifty on your Mac. The company provides a download link by email that you can open and install on your computer.
Yes, Drifty offers a weekly focus profile feature. This view shows a heatmap indicating the times of focused work and drifts, thereby summarizing the pattern for planning purposes.
Pricing
Pricing model
Freemium
Paid options from
$4/month
Billing frequency
Monthly
