Adaptive Tutor / Learning Companion

Scenario

AI tutor for language, math, or coding inside a learning platform that needs to adapt to individual student needs.

Extraction

From student questions, answers, and exercises, GetProfile keeps traits like:

skill_level per topic: vocab, grammar, integrals, recursion…
learning_style: prefers step-by-step vs big-picture explanations
common_mistakes[]: typical grammar/calc errors
motivation_pattern: often gives up early vs pushes through

It updates these as the student improves or regresses.

Injection

Before each tutoring LLM call, GetProfile injects:

Profile summary:
- “Intermediate grammar, weak with conditionals; prefers concrete examples; often confused by abstract explanations.”
A few targeted memories:
- last explanation that worked,
- last couple of failed attempts on the same concept.

Impact

The tutor can:

Choose the right difficulty and explanation style.
Remind the student of previous successful strategies.
Avoid re-trying explanations that already failed.

Implementation

import OpenAI from 'openai';

const client = new OpenAI({
apiKey: process.env.GETPROFILE_API_KEY,
baseURL: 'https://api.yourserver.com/v1',
defaultHeaders: {
'X-GetProfile-Id': "student-456",
'X-Upstream-Key': process.env.OPENAI_API_KEY,
},
});

// Tutoring session
const response = await client.chat.completions.create({
model: 'gpt-5',
messages: [
{
role: 'system',
content: 'You are a patient tutor. Adapt your explanations to the student\'s learning style.',
},
{
role: 'user',
content: 'I still don\'t understand conditional statements in Python.',
},
],
});
// GetProfile injects student's skill level, learning style, and past attempts

Trait Schema Example

{
  "skill_level": {
    "type": "object",
    "description": "Skill level per topic",
    "additionalProperties": {
      "type": "string",
      "enum": ["beginner", "intermediate", "advanced"]
    }
  },
  "learning_style": {
    "type": "string",
    "enum": ["step-by-step", "big-picture", "visual", "hands-on"],
    "description": "Preferred learning approach"
  },
  "common_mistakes": {
    "type": "array",
    "items": {
      "type": "string"
    },
    "description": "Topics or concepts the student frequently struggles with"
  },
  "motivation_pattern": {
    "type": "string",
    "enum": ["persistent", "gives-up-early", "needs-encouragement"],
    "description": "How the student handles challenges"
  }
}

Memories API

Store and retrieve learning milestones and breakthroughs

Traits API

Update skill levels as students progress

​Scenario

​Extraction

​Injection

​Impact

​Implementation

​Trait Schema Example

​Related Resources