Monitor learner progress and send personalized feedback automatically

Every day, AI checks how learners are doing in your courses and flags anyone falling behind before it's too late.

How the work actually flows

It branches. Any that apply are taken; runs once per one per learner.

Pattern: Multiple Instances without Synchronization (12) · Multi-Choice (6)

flowchart TD trig(["daily progress check"]):::trigtime s0[["check learner activity and scores"]]:::mi s1["analyze engagement for at-risk learners"]:::task s2["send personalized progress report"]:::task trig --> s0 s0 --> s1 s1 --> s2 gx{"○ is the learner falling behind"}:::gate s2 --> gx p00["alert instructor"]:::task gx -->|"learner falling behind"| p00 p01["escalate to manager if needed"]:::task p00 --> p01 p10["no further action"]:::task gx -->|"learner on track"| p10 p01 --> out p10 --> out out[/"progress reports and early risk alerts"/]:::out pay{{"catch struggling learners in time"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepRuns once per itemAny that applyResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsEmail AutomationEducation & Training
Connects
OpenAIGmail

The problem it solves

Tracking every learner's progress across your training programs by hand is impossible once you have more than a handful of people. Struggling learners often go unnoticed until it's too late to help, and instructors spend hours writing individual progress updates.

Who it fits

Learning and development teams and online education platforms managing multiple learners.

How it works

  1. Every day, the system checks each learner's course activity and quiz scores
  2. AI analyzes engagement and progress to spot learners who are falling behind
  3. A personalized progress report is sent to each learner
  4. Instructors get an email alert about any at-risk learners
  5. Managers are notified when a learner needs escalated support
What you get

Learners flagged before they fall behind

You get a daily read on who is thriving and who needs a nudge across every course you run.

What you get

Daily progress reports for learners and early-warning alerts for instructors and managers.

What you need

A learning management system account, an OpenAI API key, and Gmail.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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