AI work visibility
See the work itself, not screenshots of it
Timesheets, reports and answers, generated from the work your team actually did, and standups drafted on request. Use it to coach your team to 10× productivity.
WINDOWS + MACOS
Animation: frames of raw screen video flow into a reader and dissolve as they are processed. No footage is retained.
Journal · what was actually done
Derive and discard
The screen is recorded as short-lived video, the work is read from it, and the video is deleted immediately during processing.
That one sentence is the whole architecture. Here it is as three steps.
Record
Screen activity is recorded as short-lived video while work happens. It is scoped to work apps and work-related activity; personal activity is skipped in real time.
Read
A frontier AI model analyses that video to understand the work and measure real output: what was done, in which apps, for how long.
Delete
The video is deleted immediately during processing. What remains is derived insight: the timeline of each day, the chronicle those timelines build, and answers to questions about both.
What remains
Everything a manager chases, already written down
The footage is gone. These stay, derived from the work itself, ready before anyone asks.
Work timelines
A detailed timeline of what each person actually did, every day: the apps, the tasks, the time each one really took. How timelines work
Timesheets and reports, automatic
Generated from real work, not timers: client-ready timesheets and productivity reports with nothing to chase and nothing to pad.
Weekly digest
Opens with the biggest change of the week, who is thriving, and who needs a check-in.
Work chronicle
Timelines accumulate into a searchable history: the most recent 12 months of derived work history, never footage.
ScreenJournal MCP
Plug the chronicle into your own tools and models via MCP. Standups are drafted on request, through Ask AI or MCP, in your team's format.
Ask AI
Questions about any of it, answered in plain English. Try one:
Answers with receipts
Every answer cites the timeline entries behind it, so trust never rests on a screenshot, or on anyone's memory.
Privacy by architecture
We record work, not people
Most monitoring tools ask employees to trust a policy. ScreenJournal removes the thing the policy would have to protect.
The video never lands
Raw screen video is deleted immediately during processing. Retention applies to the derived record, never footage: there is no archive of anyone's screen to leak, subpoena or browse.
Keystrokes are never recorded
ScreenJournal does not log keystrokes in any mode. It reads the work from the screen, not the fingers from the keyboard.
Personal life stays personal
It is scoped to work apps and work-related activity; personal activity is skipped in real time, not captured and filtered later.
Redacted means erased
Redact an entry and it is erased entirely: it never appears in anyone's search. The chronicle itself keeps only the most recent 12 months of derived work history.
The full design, in plain language: how derive-and-discard works and why we record work, not people.
Plain answers
The three questions everyone asks first
What is ScreenJournal?
ScreenJournal is an AI work visibility tool that reads on-screen work as it happens, turns it into a detailed timeline of what each person actually did, and then deletes the raw screen data. Timelines accumulate into a searchable chronicle of everyone's work history, and from them ScreenJournal generates timesheets and reports automatically and drafts standup summaries on request, answering questions about any of it in plain English.
The approach is called derive-and-discard: the screen is recorded as short-lived video only long enough to understand the work, then the video is deleted immediately during processing. What remains is a work timeline for every person, every day.
How does ScreenJournal work?
ScreenJournal works in three steps. It records screen activity as short-lived video while work happens. A frontier AI model analyses that video to understand the work and measure real output. The video is then deleted immediately during processing. What remains is derived insight: the timeline of each day, the chronicle those timelines build, and answers to questions about both.
What makes ScreenJournal different?
Other tools in this market store screenshots, record screens or score app activity, then leave a manager to interpret the result. ScreenJournal reads the work itself, stores no footage, and keeps a searchable derived history, so when you need to know how work is going, you ask and get an answer.
See how it compares with screenshot trackers, surveillance suites and activity analytics on ScreenJournal vs the alternatives.
Watch a day of work become answers
Install it in the morning. By the evening you have a timeline for every person, a timesheet you didn't chase, and an AI that can tell you how the day actually went.
WINDOWS + MACOS · LINUX AND MOBILE SOON