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Alerts

The Alerts page (owner-only) is a live log of every alert that has fired in your organisation, plus the settings that decide when alerts fire.

Three kinds of alert

KindSource
AIThe AI noticed something matching one of your alert prompts.
Suspicious matchThe desktop tracker matched a rule in your suspicious app / window-title list and produced a short evidence clip.
Direct sendYou — or another owner — pushed an ad-hoc nudge / warning to a specific employee from the dashboard.

Every alert has an employee, a timestamp, and (for AI and suspicious rows) a short evidence clip you can play back inline.

The log

The top of the page lists every alert chronologically, newest first. For each row you can:

  • Play the evidence clip (if any) without leaving the page.
  • Open the detail panel to see the AI's reason, the matched rule, or the message that was sent.
  • Jump into the employee's timeline at the alert's timestamp.

Send a direct alert

The Send direct alert button opens a modal where you can:

  1. Pick an employee.
  2. Write a short message (it shows up as a desktop notification on their machine, surfaced by the tracker).
  3. Optionally tag the message as a nudge (gentle) or a warning (stronger).
  4. Send.

Direct alerts are logged in the same Alerts feed.

Configuring alert rules

The Settings subpage (top-right button) lets you configure:

  • Alert prompts — free-text instructions you give the AI for what to watch for. Common examples: "abusive language toward customers", "browsing job-hunting sites", "extended distraction blocks".
  • Suppression rules — quiet down alerts that fire too often (per employee, per app, or globally).
  • Desktop notification surfaces — whether the employee sees a popup when an alert about them fires, and what it says.

Defaults are conservative: out of the box, no alert prompts are active. You opt in to each surface deliberately so employees aren't showered with notifications.

Limits

Configuration of suspicious-app / window-title rules themselves lives under Sensitive-app exclusions in the desktop policy, since the same lists feed both the censoring behaviour and the alert evidence-clip behaviour.

ScreenJournal end-user documentation. For sales or account questions visit screenjournal.ai.