ScreenJournal AI
AI work-visibility tool that reads screen activity into a searchable daily work timeline, then deletes the raw footage.
What it does
ScreenJournal records a user's screen as short-lived video, uses an AI model to read what work was actually done, then immediately deletes the video. What remains is a derived timeline of apps and tasks per day, which accumulates into a searchable work chronicle used to auto-generate timesheets, reports, and draft standups.
Core features
'Derive-and-discard' architecture that deletes raw screen video after analysis
Automatic daily work timelines broken down by app and task
Auto-generated timesheets, productivity reports, and weekly digests
AI 'Ask' chat over historical work data plus an MCP integration
Scoping to work apps only, skipping personal activity in real time
Redaction that permanently erases entries from the chronicle
Best for
→Managers tracking real team output without reviewing screenshots
→Agencies generating client-ready timesheets automatically
→Team leads drafting standups from actual work history
→Distributed teams wanting privacy-conscious work visibility