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AI Adaptive Tutor workflow blueprint

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Education
Tutoring
Adaptive
Interactive
Request access
Pattern
Dag
Agents
4
Functions
0
MCP servers
0

Inputs for the Adaptive Tutor workflow

Provide the following information when starting this workflow. Required inputs are validated before the first workflow stage runs.

  • Subject

    Required

    Subject to learn

    Type: String

  • Student Level

    Required

    Current knowledge level

    Type: String

Input template

This request shape is generated from the blueprint's input schema. Angle-bracket values are placeholders; defaults and examples appear only when the source blueprint defines them.

{
  "subject": "<required string>",
  "student_level": "<required string>"
}

How the Adaptive Tutor AI workflow works

This education & training blueprint uses a dag workflow with 4 agents, 0 functions, and 0 MCP servers. This catalog blueprint is available by request; contact GraphN to discuss access and customization for your use case.

  1. Assessor

    Agent using Assessor

  2. Curriculum Planner

    Agent using Curriculum Planner

  3. Teach & Check

    Judge Loop

Blueprint resources and prerequisites

These are the actual agents, functions, and MCP servers declared by the blueprint. If an MCP server connects to an external system, configure the required connection and credentials in your GraphN workspace before running the workflow.

AI agent

Assessor

Evaluates student knowledge level.

AI agent

Curriculum Planner

Plans personalized learning path.

AI agent

Tutor

Delivers adapted explanations.

AI agent

Progress Checker

Checks comprehension and adjusts.

Workflow output contract

The completed workflow makes the following output available to downstream steps, applications, or API clients:

Tutor Loop

Frequently asked questions

What does the Adaptive Tutor blueprint do?
Get step-by-step explanations that adapt to what you already know
What inputs does the Adaptive Tutor workflow use?
The workflow uses Subject, Student Level. Required fields and their expected formats are listed on this page.
What resources are included in the Adaptive Tutor blueprint?
The blueprint contains 4 AI agents, 0 functions, 0 MCP servers. Its workflow pattern is Dag.
Can I customize the Adaptive Tutor blueprint in GraphN?
This blueprint is currently available by request. Contact GraphN to discuss access and customization for your use case.

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