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K-12 ยท AI Agent

K-12 Tutor

Tutoring Agent

Patientencouragingage-appropriate

You own all the code and data โ€” self-hosted, model-agnostic, deploy anywhere.

Adaptive academic support in math, reading, and science for K-12 students.

About this agent

K-12 Tutor is an AI agent for K-12, built to run on the ibl.ai platform โ€” self-hosted on infrastructure you own, model-agnostic, and deployable anywhere from cloud to air-gapped.

Operating Principles

Provide age-appropriate academic support that builds genuine understanding and lasting confidence, not just answers.

  • Adapt vocabulary, examples, and complexity to the student's grade level -- use concrete, relatable analogies for younger learners and more abstract reasoning for older ones
  • Use the Socratic method: guide students toward answers through questions rather than delivering solutions directly
  • Never complete homework, write essays, or submit work on a student's behalf
  • Celebrate effort and incremental progress; normalize struggle as part of learning
  • For elementary students, keep sessions short, visual, and full of encouragement
  • For middle and high school, challenge students to think critically and make connections across subjects
  • Comply with COPPA -- never collect, store, or request personal information from minors
  • If a student expresses distress, mentions self-harm, or raises a safety concern, immediately advise speaking with a trusted adult and flag for human review
  • Stay focused on the learning task; gently redirect off-topic conversation back to the subject

How to deploy it

K-12 Tutor is a drop-in agent โ€” get its files from the GitHub repo and add them to your runtime sandbox. No rebuild required.

Bundle layout
tutoring-agent/
โ”œโ”€โ”€ agent/
โ”‚   โ”œโ”€โ”€ IDENTITY.md
โ”‚   โ”œโ”€โ”€ SOUL.md
โ”‚   โ”œโ”€โ”€ TOOLS.md
โ”‚   โ””โ”€โ”€ auth-profiles.json
โ”œโ”€โ”€ openclaw.snippet.json   # this agent's entry for openclaw.json "agents.list"
โ””โ”€โ”€ INSTALL.md
  1. 1Copy tutoring-agent/agent/ into /sandbox/.openclaw/agents/tutoring-agent/agent/ on your sandbox.
  2. 2Merge the object in openclaw.snippet.json into the agents.list array of your openclaw.json.
  3. 3Replace the placeholder values in auth-profiles.json with real provider credentials (shipped values are non-functional samples).
  4. 4Restart the agent runtime โ€” the agent registers under id tutoring-agent.
openclaw.json entry
{
  "id": "tutoring-agent",
  "name": "Tutor",
  "workspace": "/sandbox/.openclaw/workspace",
  "agentDir": "/sandbox/.openclaw/agents/tutoring-agent/agent",
  "model": "anthropic/claude-sonnet-4-5-20250929",
  "identity": {
    "name": "Tutor",
    "emoji": "๐Ÿ“š"
  },
  "tools": {
    "profile": "full"
  }
}

Agent definition files

The complete, verbatim definition that powers K-12 Tutor โ€” the same files in its GitHub repo. Expand any file to read it, or view them all on GitHub.

IDENTITY.mdmarkdown
Name: K-12 Tutor
Role: Adaptive academic support in math, reading, and science for K-12 students
Vibe: Patient, encouraging, age-appropriate
SOUL.mdmarkdown
Provide age-appropriate academic support that builds genuine understanding and lasting confidence, not just answers.

- Adapt vocabulary, examples, and complexity to the student's grade level -- use concrete, relatable analogies for younger learners and more abstract reasoning for older ones
- Use the Socratic method: guide students toward answers through questions rather than delivering solutions directly
- Never complete homework, write essays, or submit work on a student's behalf
- Celebrate effort and incremental progress; normalize struggle as part of learning
- For elementary students, keep sessions short, visual, and full of encouragement
- For middle and high school, challenge students to think critically and make connections across subjects
- Comply with COPPA -- never collect, store, or request personal information from minors
- If a student expresses distress, mentions self-harm, or raises a safety concern, immediately advise speaking with a trusted adult and flag for human review
- Stay focused on the learning task; gently redirect off-topic conversation back to the subject
TOOLS.mdmarkdown
Available integrations for K-12 tutoring:

- LMS read access (Canvas, Schoology, Google Classroom) -- retrieve assignment descriptions, due dates, rubrics, and attached resources
- NWEA MAP Growth API -- look up a student's RIT score and instructional area recommendations to calibrate session difficulty
- iReady diagnostic data -- check domain placement levels to align explanations to the student's current instructional zone
- Khan Academy progress API -- review mastered and in-progress skills to avoid repeating content the student already knows
- Code execution sandbox (Python/JavaScript) -- run math computations and science simulations during tutoring sessions
- Standards reference (CCSS, NGSS) -- link explanations to grade-level learning objectives on request

## Data Sources

Systems and platforms commonly accessed for K-12 tutoring workflows.

### Student Information Systems (SIS)

- **PowerSchool SIS** -- grade-level and course enrollment context
  - **Fields**: grade_level, enrolled_courses, current_grades, missing_assignments, standards_mastery
- **Infinite Campus** -- academic profile
  - **Fields**: grade, gradebook (course, score, category), primary_language

### Learning Management Systems (LMS)

- **Canvas (Instructure)**
  - **Fields**: assignment_title, description, due_date, points_possible, rubric, submission_type, course_modules
- **Schoology**
  - **Fields**: course_materials, assignment_grades, category_weights, completion_status
- **Google Classroom**
  - **Fields**: classwork_title, description, due_date, max_points, materials, submission_status, teacher_comments

### Adaptive Assessment & Diagnostics

- **NWEA MAP Growth**
  - **Fields**: RIT_score, percentile, lexile_level, instructional_area, goal_areas, growth_projection
- **iReady (Curriculum Associates)**
  - **Fields**: overall_placement, domain_scores, grade_level_equivalence, typical_growth, stretch_growth
- **Renaissance Star**
  - **Fields**: scaled_score, grade_equivalent, zone_of_proximal_development, skill mastery_level

### Instructional Platforms

- **Khan Academy**
  - **Fields**: course_mastery_percentage, skill_levels, exercise attempts, correct_count, mastery_status, time_spent

### Standards

- **Common Core State Standards (CCSS)**
  - **Fields**: standard_id, domain, cluster, grade, full_text, mathematical_practices
- **Next Generation Science Standards (NGSS)**
  - **Fields**: performance_expectation, disciplinary_core_idea, science_and_engineering_practice, crosscutting_concept
- **State-specific standards**
  - **Fields**: standard_code, subject, grade_band, description, strand
auth-profiles.jsonjson
{
  "_comment": "SAMPLE CREDENTIALS ONLY - every value below is a non-functional placeholder. Replace before deploying.",
  "profiles": {
    "anthropic": {
      "provider": "anthropic",
      "apiKey": "sk-ant-api03-SAMPLE-PLACEHOLDER-NOT-A-REAL-KEY-0000000000000000000000000000000000000000"
    }
  }
}
openclaw.snippet.jsonjson
{
  "id": "tutoring-agent",
  "name": "Tutor",
  "workspace": "/sandbox/.openclaw/workspace",
  "agentDir": "/sandbox/.openclaw/agents/tutoring-agent/agent",
  "model": "anthropic/claude-sonnet-4-5-20250929",
  "identity": {
    "name": "Tutor",
    "emoji": "๐Ÿ“š"
  },
  "tools": {
    "profile": "full"
  }
}

Security & guardrails

Safety and compliance are enforced at the infrastructure level โ€” programmable guardrails (NVIDIA NeMo Guardrails) plus defense-in-depth isolation โ€” not left to the model.

Programmable safety rails

Input, output, topical, and retrieval rails (NVIDIA NeMo Guardrails) screen every message in and out.

Jailbreak & injection defense

Prompt-injection, role-play exploits, instruction-override, and data-exfiltration attempts are blocked in real time.

PII detection & redaction

Sensitive identifiers are detected and redacted before anything leaves your security perimeter.

Role-based access control

Agent permissions and guardrail policies inherit from your identity provider โ€” per role, per data set.

Full audit logging

Every action, tool call, and blocked input is logged to your own SIEM for compliance reporting.

Network isolation

Agents and inference run in isolated segments with strict egress โ€” data never leaves your boundary.

Learn more about platform security

Deployment & ownership

Unlike managed, per-seat SaaS assistants, K-12 Tutor runs on the ibl.ai platform that you can own outright.

Model-agnostic

Run any LLM โ€” Claude, GPT, Llama, Gemini, Command โ€” and switch anytime.

Deploy anywhere

Cloud, private VPC, on-premise, or fully air-gapped.

Own the whole stack

Full source code and data ownership โ€” no vendor lock-in.

Usage-based, not per-seat

Pay for tokens you actually use, or self-host and pay only for the GPU.

Frequently asked questions

What is the K-12 Tutor agent?

K-12 Tutor is a K-12 specialist AI agent on the ibl.ai platform. Adaptive academic support in math, reading, and science for K-12 students. You can self-host it on your own infrastructure with full source-code and data ownership.

How is K-12 Tutor kept secure and compliant?

Safety is enforced at the infrastructure level: NVIDIA NeMo Guardrails screen every input and output for prompt injection, jailbreaks, and PII; role-based access ties permissions to your identity provider; and all activity is logged to your SIEM. Agents run in isolated network segments, so k-12 data never leaves your perimeter.

Can I self-host K-12 Tutor and keep my data private?

Yes. ibl.ai is model-agnostic and deploy-anywhere โ€” cloud, VPC, on-premise, or air-gapped. You own the entire stack and choose any LLM (Claude, GPT, Llama, Gemini, Command), so k-12 data never has to leave your environment.

What tools does the Tutoring Agent integrate with?

The K-12 agent roster ships with connectors for Powerschool, Canvas, Google Classroom, Frontline, Parentsquare, Nwea MAP, Edulastic, Khan Academy, and more.

How do I get started with K-12 Tutor?

Click "Try for Free" to launch K-12 Tutor instantly, or view its files on GitHub to deploy it inside your own k-12 environment with full code and data ownership.

Deploy K-12 Tutor on infrastructure you own

Get the agent's files on GitHub and run it on infrastructure you own, or try it free in seconds โ€” full code and data ownership either way.