Didon automatically turns work activity into project time, focus patterns, and useful coaching. Employees get clarity about their day while sensitive screen data stays on their Mac.
Team activity
Product Lead · Working on product strategy
Avg Daily Hours
7h 48m
This week
Avg Productivity
80
Score out of 100
Focus Score
76
Deep work quality
Input vs Consume
2.4 : 1
Create vs consume ratio
Active hours by activity type · 0–24h scale
Ethan spent most of the week on product roadmap planning and growth experiments, with strong focus blocks before noon and a lighter meeting load than last week.
Hours and percentage breakdown
Time distribution across projects
Ethan completed a long product-planning block before noon and returned to focused strategy work after two meetings. Context switching stayed below his weekly average, with the strongest focus period between 1 PM and 3 PM.
AI employee tracking uses machine learning to interpret work activity automatically. Instead of leaving managers or employees with raw app names, screenshots, and timestamps, it organizes activity into meaningful projects, categories, and work patterns.
Traditional employee monitoring is designed to watch people. Didon is designed to help people understand their own work: where time went, when focus was strongest, and which habits helped or interrupted progress.
The result is useful accountability without keystroke logging, cloud screenshot archives, or constant manual timers.
Didon removes the sorting work from work tracking and gives each person a clear, structured view of the day.
Track work in the background without asking people to start, stop, or label a timer for every task.
Turn screen context into structured project and work-category reports instead of a stream of raw events.
See active time, project distribution, and recurring work patterns that are difficult to estimate from memory.
Translate tracking data into feedback shaped around the person’s actual work style and habits.
Automatic project tracking
Didon converts screen context into structured time blocks, then groups activity by project and category. The report is ready without asking employees to reconstruct the day from memory.
Capture, understand, and improve—without adding another administrative routine.
Didon quietly captures periodic screen context while work happens, removing the need for manual timers and self-reporting.
On-device AI interprets the activity on the Mac and matches it to projects and meaningful work categories.
Structured reports show where time went and surface patterns that can improve focus, planning, and work habits.
Work screens can contain source code, client documents, private messages, credentials, and information covered by an NDA. Uploading that context for remote analysis creates unnecessary risk.
Didon analyzes captured screen context locally on the employee's Mac. The processing stays on-device, so teams can gain structured work insights without building a cloud library of sensitive screenshots.
Personalized productivity coaching
Generic monitoring labels a day productive or unproductive. Didon adds context by connecting work patterns to the way a person naturally plans, decides, and executes.
A fast builder may need a reminder to review high-risk work. A careful specialist may need permission to stop refining and ship. Useful coaching adapts to the person instead of pushing everyone toward the same behavior.
Choose a system based on the decisions it improves—not the volume of activity it collects.
| Capability | Didon | Traditional monitoring | Manual time tracking |
|---|---|---|---|
| Primary goal | Improve self-awareness and work habits | Observe and enforce activity | Record billable or task time |
| Data interpretation | Automatic AI categorization | Raw logs reviewed by a manager | Employee labels entries |
| Screen-data handling | Analyzed locally on the Mac | Often uploaded and stored | Usually not captured |
| Employee effort | Runs automatically | Runs automatically | Frequent start, stop, and tagging |
| Output | Projects, categories, and personalized insights | Screenshots, activity scores, and alerts | Timesheet entries |
Built for people and small teams who need accurate work visibility without heavy administration.
Build shared accountability around projects and priorities while keeping sensitive work context on each person’s device.
Create more accurate project records and client reports without interrupting focused work to manage timers.
Find the gap between stated priorities and actual time, then use personalized insights to improve the next workday.
Straight answers about AI tracking, privacy, and what Didon measures.
