Course Recommendation Agent
Proposes the logical next module based on actual progress and goals — continuously, in your systems, in your tone.
Course Recommendation Agent
Proposes the logical next module based on actual progress and goals — learning paths that move forward, not just sideways.
Email & Retention
The problem
What this agent takes off your plate
In education, proposes the logical next module based on actual progress and goals — learning paths that move forward, not just sideways — but doing it manually does not scale. Course Recommendation is the kind of work that piles up when nobody has dedicated time for it. Context is scattered, SLAs slip, and your team ends up on repeat work instead of the decisions that matter.
- Proposes the logical next module based on actual progress and goals
- learning paths that move forward
- not just sideways.
- Course Rec handled automatically against your rules
How it works
From brief to publish-ready
Course Recommendation connects to Course Rec, Learning Path, Klaviyo and your email & retention stack. It reads your rules, brand voice and live data — then proposes the logical next module based on actual progress and goals — learning paths that move forward, not just sideways. Exceptions land with your team; everything else runs without another dashboard to check.
Why this agent
Proposes the logical next module based on actual progress and goals — learning paths that move forward, not just sideways.
Outcomes
- Course Recommendation runs without manual handoffs
- Schools, academies and spends less time on repeat work
- Consistent output every time — not when someone gets to it
- Full trace in your existing systems
Connects to
Writes back
Turn tangled operations into clean, owned automation.
187N reads your tickets, orders and brand rules — then runs the work across every department and writes back to the tools you already use. Your team keeps the exceptions; the agents take the rest.
