Agent

Monitor content for obsolescence over time

Periodically re-runs link and embed scans and watches tracked tools and data sources for changes, flagging lessons that have likely gone stale since the last pass — running on a schedule rather than on demand.

In / outCourse content inventory + tracked tool/data sources → periodic staleness flags by lesson with change summary

You might say…

I only find out content is outdated when a learner complains — I'd rather have something watching for changes between cohorts.

What it does

Scheduled agent that periodically re-runs the link/embed scan and watches tracked tools/data sources for changes (UI updates, deprecations, statistic refreshes), flagging lessons that have likely gone stale since the last pass. Autonomous and recurring rather than on-demand, hence an agent.

Trigger: Use when you want ongoing staleness monitoring between cohorts rather than a one-off pre-fix scan.

Autonomy: Acts autonomously — runs end-to-end without a human in each loop.

Recognise the problem?

The primitives are the commodity part. The fastest next step is a conversation about composing them into something that works for you.

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