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Learning Agent

Learning Agent

A tutor that knows which lesson you are stuck on.

A learning companion inside your LMS, aware of what a member has completed, what they scored, and where they have stalled, so help is specific rather than general.

Orchestrated intelligence

Know

It learns your platform

>

Guide

It helps your members

>

Automate

It does the repeat work

>

Build

It helps you ship

A general tutor does not know where you are

A member stuck in module four can already open a general AI tool and ask about the topic. What they get back is a competent, generic explanation that has no idea what your course said, what your framework calls things, or which of the previous three modules they skipped. A Learning Agent reads their actual progress and their actual quiz answers, which means it can identify that the problem is not module four at all. It is the concept from module two that they got through on a lucky guess.

Custom implementation today, self-managed tooling coming.

Gamplify AI is delivered through custom architecture for trusted partners right now. Self-managed tooling, agent configuration panels, and platform-level orchestration are still being built, which is why it carries In scoping rather than Live.

What it knows and does

How it is designed to work.

Grounded in your curriculum and in this learner record.

Their position

About the learner

Your curriculum

About the material

In practice

How it helps

What it will not do

Guardrails

To you

What it feeds back

Worked example

The problem is not the module she is stuck on

It is the one she got through two weeks ago on a guess.

Learning Agent

Module 4, second attempt

Guide

She asks for help with module 4

Twice failed, frustrated, considering giving up on the track.

Know

The agent reads her quiz history, not just her question

Module 2 passed at 71 percent, with both questions on the same concept wrong.

Guide

It names the actual gap and explains it a second way

Using your framing, not a textbook definition that would conflict with it.

Guide

Practice questions generated for that concept only

Three of them, targeted, rather than a full module retake.

Auto

Faculty notified that this pattern is common

Nine learners have failed module 4 with the same module 2 weakness.

Recipes

Three you could build this afternoon.

Read them as when, only if, then. That is the whole grammar of the system.

Trace the gap backwards

When

A learner struggles repeatedly

Only if

Prior assessment data exists

Then

Diagnose the prerequisite concept rather than re-explaining the current one, because the block is usually upstream

Explain differently, not louder

When

A learner asks about a concept

Only if

Your lesson already covers it

Then

Offer a second framing rather than restating the lesson, since repetition of the same explanation is what already failed

Never answer a graded question

When

A learner asks about assessment content

Only if

The assessment is graded

Then

Refuse and offer practice on the concept instead. An LMS whose tutor completes the quiz has no credential worth issuing

Before you build

Three things worth knowing.

Note

Grounding in your curriculum matters more here than anywhere else. A tutor contradicting your framework actively damages the course.

Note

The aggregate data is worth as much as the tutoring. It shows you exactly which lesson is broken.

Note

Draw a hard line at graded work. It is the difference between a study aid and a cheating tool.

The rest of AI

Owner Agent is one of 9 parts.

Platform Agent

Gamplify AI

Owner Agent

Gamplify AI

Learning Agent

You are here

Coaching Agent

Gamplify AI

Gamplify Agent

Gamplify AI

Content Generation

Gamplify AI

Agentic Models

Gamplify AI

Vibe Design

Gamplify AI

Vibe Coding

Gamplify AI

Put Learning Agent to work.

Tell us what you are trying to get members to do, and we will show you the Flow that does it.

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