diff --git a/tutorials/.gitignore b/tutorials/.gitignore
deleted file mode 100644
index 5800e14..0000000
--- a/tutorials/.gitignore
+++ /dev/null
@@ -1,17 +0,0 @@
-**/.DS_Store
-**/.env
-**/node_modules
-
-# Python
-**/__pycache__/
-**/*.py[cod]
-**/*$py.class
-**/.pytest_cache/
-**/.coverage
-**/venv/
-**/env/
-**/.venv/
-**/.env/
-
-# Data files (embeddings)
-**/*_embeddings.json
\ No newline at end of file
diff --git a/tutorials/README.md b/tutorials/README.md
deleted file mode 100644
index 0ab082b..0000000
--- a/tutorials/README.md
+++ /dev/null
@@ -1,20 +0,0 @@
-# Tutorials
-
-We provide stand-alone example apps in **Python** and **JavaScript** that demonstrate how Knowledge Graph data can be applied to different use cases.
-
-## Prerequisites
-
-- A [Learning Commons Platform](https://platform.learningcommons.org/) account
-- An API key generated in the Learning Commons Platform
-
-## Tutorials
-
-See the README in each tutorial folder for language-specific setup instructions.
-
-> **Note:** These tutorials use the Knowledge Graph REST API, which is currently available as Early Access and is actively evolving. Breaking changes may occur as we expand capabilities and improve reliability.
-
-| Tutorial                                                | Description                                                                                                                      | Python                                        | JavaScript                            |
-| :------------------------------------------------------ | :------------------------------------------------------------------------------------------------------------------------------- | :-------------------------------------------- | :------------------------------------ |
-| [compare_standards](./compare_standards/)               | Compare standards between Common Core (CCSSM) and state frameworks using crosswalk data, Jaccard scores, and learning components | [python/](./compare_standards/python/)        | [js/](./compare_standards/js/)        |
-| [generate_prereq_practice](./generate_prereq_practice/) | Generate prerequisite-based practice questions by querying standards, learning progressions, and learning components             | [python/](./generate_prereq_practice/python/) | [js/](./generate_prereq_practice/js/) |
-| [working_with_standards](./working_with_standards/)     | Query state educational standards by jurisdiction, grade level, and type                                                         | [python/](./working_with_standards/python/)   | [js/](./working_with_standards/js/)   |
diff --git a/tutorials/compare_standards/js/.env.example b/tutorials/compare_standards/js/.env.example
deleted file mode 100644
index 3c86715..0000000
--- a/tutorials/compare_standards/js/.env.example
+++ /dev/null
@@ -1,3 +0,0 @@
-# Knowledge Graph API credentials - get these from the Learning Commons Platform
-API_KEY=your_api_key_here
-BASE_URL=https://api.learningcommons.org/knowledge-graph/v0
diff --git a/tutorials/compare_standards/js/README.md b/tutorials/compare_standards/js/README.md
deleted file mode 100644
index b6d809e..0000000
--- a/tutorials/compare_standards/js/README.md
+++ /dev/null
@@ -1,40 +0,0 @@
-# Compare Standards
-
-Demonstrates how to use crosswalk data to compare standards between the Common Core State Standards (CCSSM) and state frameworks using the Knowledge Graph REST API, covering:
-- **API Integration**: Using REST API to query crosswalk data
-- **Standards Comparison**: Finding state standards that align with CCSS standards
-- **Jaccard Scoring**: Understanding alignment strength using Jaccard scores
-- **Learning Components**: Analyzing shared and unique learning components
-
-> **Note:** The API is in limited early release and is only available to some private beta users. Because the API is an early release, current users should expect occasional breaking changes.
-
-## Prerequisites
-
-- Node.js 18 or higher (for native fetch API support)
-- A Learning Commons Platform account
-- An API key generated in the Learning Commons Platform
-
-## Dependencies
-
-- **dotenv**: Environment variable management
-
-## Quick Start
-
-1. **Clone and Install**:
-   ```bash
-   git clone git@github.com:learning-commons-org/knowledge-graph.git
-   cd tutorials/compare_standards/js
-   npm install
-   ```
-
-2. **Set Environment Variables** (create `.env` file):
-   ```bash
-   # Knowledge Graph API credentials - get these from the Learning Commons Platform
-   API_KEY=your_api_key_here
-   BASE_URL=https://api.learningcommons.org/knowledge-graph/v0
-   ```
-
-3. **Run Tutorial**:
-   ```bash
-   npm start
-   ```
diff --git a/tutorials/compare_standards/js/compare-standards.js b/tutorials/compare_standards/js/compare-standards.js
deleted file mode 100644
index 0101f84..0000000
--- a/tutorials/compare_standards/js/compare-standards.js
+++ /dev/null
@@ -1,248 +0,0 @@
-/* ================================
-   CONFIGURATION & SETUP
-   ================================ */
-
-// Dependencies
-require('dotenv').config();
-
-// Domain Constants
-// Pick a CCSSM standard to find its best state standard matches
-const TARGET_CCSSM_STANDARD_CODE = '6.EE.B.5';  // Common Core 6th grade math standard on solving equations and inequalities
-const TARGET_CCSSM_JURISDICTION = 'Multi-State';
-
-// Environment setup
-const apiKey = process.env.API_KEY;
-const baseUrl = process.env.BASE_URL;
-
-if (!apiKey) {
-  console.error('❌ API_KEY environment variable is not set.');
-  process.exit(1);
-}
-
-if (!baseUrl) {
-  console.error('❌ BASE_URL environment variable is not set.');
-  process.exit(1);
-}
-
-/* ================================
-   HELPER FUNCTIONS
-   ================================ */
-
-async function makeApiRequest(endpoint, params = {}) {
-  try {
-    const url = new URL(`${baseUrl}${endpoint}`);
-
-    // Handle array parameters
-    Object.entries(params).forEach(([key, value]) => {
-      if (Array.isArray(value)) {
-        value.forEach(v => url.searchParams.append(key, v));
-      } else {
-        url.searchParams.append(key, value);
-      }
-    });
-
-    const response = await fetch(url.toString(), {
-      method: 'GET',
-      headers: {
-        'x-api-key': apiKey
-      }
-    });
-
-    if (!response.ok) {
-      throw new Error(`HTTP error! status: ${response.status}`);
-    }
-
-    return await response.json();
-  } catch (error) {
-    console.error(`❌ Error making API request to ${endpoint}: ${error.message}`);
-    throw error;
-  }
-}
-
-/* ================================
-   STEP 2: FIND THE BEST-MATCHING STATE STANDARDS
-   ================================ */
-
-async function findBestStateMatches() {
-  // Find the CCSSM standard by its statement code and jurisdiction
-  const searchResult = await makeApiRequest('/academic-standards/search', {
-    statementCode: TARGET_CCSSM_STANDARD_CODE,
-    jurisdiction: TARGET_CCSSM_JURISDICTION
-  });
-
-  const ccssmStandard = searchResult[0] || null;
-
-  if (!ccssmStandard) {
-    console.log(`❌ CCSSM standard not found: ${TARGET_CCSSM_STANDARD_CODE}`);
-    return { ccssmStandard: null, texasMatches: null };
-  }
-
-  const ccssmStandardUuid = ccssmStandard.caseIdentifierUUID;
-  console.log(`✅ Found CCSSM standard: ${TARGET_CCSSM_STANDARD_CODE}`);
-  console.log(`  Case UUID: ${ccssmStandardUuid}`);
-  console.log(`  Description: ${ccssmStandard.description}`);
-
-  // Get Texas standards that align with this CCSSM standard
-  const crosswalkResult = await makeApiRequest(
-    `/academic-standards/${ccssmStandardUuid}/crosswalks`,
-    { jurisdiction: 'Texas' }
-  );
-
-  const texasMatches = crosswalkResult.data;
-
-  if (!texasMatches || texasMatches.length === 0) {
-    console.log(`\n❌ No Texas standard matches found for ${TARGET_CCSSM_STANDARD_CODE}`);
-    return { ccssmStandard, texasMatches: null };
-  }
-
-  // Sort by Jaccard score (highest first)
-  const texasMatchesSorted = texasMatches.sort((a, b) => b.jaccard - a.jaccard);
-
-  console.log(`\n✅ Found ${texasMatchesSorted.length} Texas standard matches`);
-  console.log(`\n📊 Top Texas match (highest Jaccard score):`);
-
-  const topMatch = texasMatchesSorted[0];
-  console.log(`  Statement Code: ${topMatch.statementCode}`);
-  console.log(`  Jaccard Score: ${topMatch.jaccard.toFixed(4)}`);
-  console.log(`  Shared LC Count: ${topMatch.sharedLCCount}`);
-  console.log(`  State LC Count: ${topMatch.stateLCCount}`);
-  console.log(`  CCSS LC Count: ${topMatch.ccssLCCount}`);
-
-  return { ccssmStandard, texasMatches: texasMatchesSorted };
-}
-
-/* ================================
-   STEP 3: INTERPRET THE RELATIONSHIP METRICS
-   ================================ */
-
-function interpretRelationshipMetrics(matches) {
-  if (!matches || matches.length === 0) {
-    return;
-  }
-
-  console.log(`\n📊 INTERPRETATION OF TOP MATCHES:\n`);
-
-  // Show top 5 matches with interpretation
-  matches.slice(0, 5).forEach((match, idx) => {
-    const jaccard = match.jaccard;
-    const stateLc = match.stateLCCount;
-    const ccssLc = match.ccssLCCount;
-    const sharedLc = match.sharedLCCount;
-
-    console.log(`Match #${idx + 1}:`);
-    console.log(`  Statement Code: ${match.statementCode}`);
-    console.log(`  Jaccard Score: ${jaccard.toFixed(4)}`);
-    console.log(`  State LC Count: ${stateLc}`);
-    console.log(`  CCSS LC Count: ${ccssLc}`);
-    console.log(`  Shared LC Count: ${sharedLc}`);
-
-    // Interpret the metrics
-    let interpretation;
-    if (jaccard >= 0.9) {
-      interpretation = "Very strong overlap; standards share nearly all skills";
-    } else if (jaccard >= 0.7) {
-      interpretation = "Strong overlap; substantial shared skills";
-    } else if (jaccard >= 0.5) {
-      interpretation = "Moderate overlap; many shared skills";
-    } else if (jaccard >= 0.3) {
-      interpretation = "Partial overlap; some shared skills";
-    } else {
-      interpretation = "Weak overlap; few shared skills";
-    }
-
-    // Check scope balance
-    let scopeNote;
-    if (Math.abs(stateLc - ccssLc) <= 2) {
-      scopeNote = "Both standards have similar scope";
-    } else if (stateLc > ccssLc) {
-      scopeNote = "State standard covers more content";
-    } else {
-      scopeNote = "CCSS standard covers more content";
-    }
-
-    console.log(`  Interpretation: ${interpretation}`);
-    console.log(`  Scope: ${scopeNote}`);
-    console.log();
-  });
-}
-
-/* ================================
-   STEP 4: INSPECT SHARED LEARNING COMPONENTS
-   ================================ */
-
-async function showSharedLearningComponents(ccssmStandard, topMatch) {
-  const ccssmStandardUuid = ccssmStandard.caseIdentifierUUID;
-  const stateStandardUuid = topMatch.caseIdentifierUUID;
-
-  // Get LCs that support the CCSS standard
-  const ccssLcResult = await makeApiRequest(
-    `/academic-standards/${ccssmStandardUuid}/learning-components`
-  );
-  const ccssLcs = ccssLcResult.data;
-
-  // Get LCs that support the state standard
-  const stateLcResult = await makeApiRequest(
-    `/academic-standards/${stateStandardUuid}/learning-components`
-  );
-  const stateLcs = stateLcResult.data;
-
-  // Create sets of LC identifiers for comparison
-  const ccssLcIds = new Set(ccssLcs.map(lc => lc.identifier));
-  const stateLcIds = new Set(stateLcs.map(lc => lc.identifier));
-
-  // Find shared and unique LCs
-  const sharedLcIds = new Set([...ccssLcIds].filter(id => stateLcIds.has(id)));
-  const ccssOnlyIds = new Set([...ccssLcIds].filter(id => !stateLcIds.has(id)));
-  const stateOnlyIds = new Set([...stateLcIds].filter(id => !ccssLcIds.has(id)));
-
-  // Get LC descriptions
-  const sharedLcs = ccssLcs.filter(lc => sharedLcIds.has(lc.identifier));
-  const ccssOnlyLcs = ccssLcs.filter(lc => ccssOnlyIds.has(lc.identifier));
-  const stateOnlyLcs = stateLcs.filter(lc => stateOnlyIds.has(lc.identifier));
-
-  console.log(`\n✅ LEARNING COMPONENTS ANALYSIS:`);
-  console.log(`CCSS Standard: ${ccssmStandard.statementCode}`);
-  console.log(`State Standard: ${topMatch.statementCode}`);
-  console.log();
-
-  console.log(`📊 SHARED LEARNING COMPONENTS (${sharedLcs.length}):`);
-  sharedLcs.forEach((lc, idx) => {
-    console.log(`  ✅ ${idx + 1}. ${lc.description}`);
-  });
-  console.log();
-
-  console.log(`📊 CCSS-ONLY LEARNING COMPONENTS (${ccssOnlyLcs.length}):`);
-  ccssOnlyLcs.forEach((lc, idx) => {
-    console.log(`  ➕ ${idx + 1}. ${lc.description}`);
-  });
-  console.log();
-
-  console.log(`📊 STATE-ONLY LEARNING COMPONENTS (${stateOnlyLcs.length}):`);
-  stateOnlyLcs.forEach((lc, idx) => {
-    console.log(`  ➖ ${idx + 1}. ${lc.description}`);
-  });
-  console.log();
-}
-
-/* ================================
-   MAIN EXECUTION
-   ================================ */
-
-async function main() {
-  console.log('\n=== USING CROSSWALKS TO COMPARE STATE STANDARDS TO COMMON CORE ===\n');
-
-  console.log('🔄 Step 2: Find the best-matching state standards for a CCSSM standard...\n');
-  const { ccssmStandard, texasMatches } = await findBestStateMatches();
-
-  if (texasMatches) {
-    console.log('\n' + '='.repeat(70));
-    console.log('🔄 Step 3: Interpret the relationship metrics...');
-    interpretRelationshipMetrics(texasMatches);
-
-    console.log('='.repeat(70));
-    console.log('🔄 Step 4: Inspect shared learning components...');
-    await showSharedLearningComponents(ccssmStandard, texasMatches[0]);
-  }
-}
-
-main().catch(console.error);
diff --git a/tutorials/compare_standards/js/package-lock.json b/tutorials/compare_standards/js/package-lock.json
deleted file mode 100644
index 3d81c01..0000000
--- a/tutorials/compare_standards/js/package-lock.json
+++ /dev/null
@@ -1,28 +0,0 @@
-{
-  "name": "compare-standards",
-  "version": "1.0.0",
-  "lockfileVersion": 3,
-  "requires": true,
-  "packages": {
-    "": {
-      "name": "compare-standards",
-      "version": "1.0.0",
-      "license": "ISC",
-      "dependencies": {
-        "dotenv": "^16.3.1"
-      }
-    },
-    "node_modules/dotenv": {
-      "version": "16.6.1",
-      "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.6.1.tgz",
-      "integrity": "sha512-uBq4egWHTcTt33a72vpSG0z3HnPuIl6NqYcTrKEg2azoEyl2hpW0zqlxysq2pK9HlDIHyHyakeYaYnSAwd8bow==",
-      "license": "BSD-2-Clause",
-      "engines": {
-        "node": ">=12"
-      },
-      "funding": {
-        "url": "https://dotenvx.com"
-      }
-    }
-  }
-}
diff --git a/tutorials/compare_standards/js/package.json b/tutorials/compare_standards/js/package.json
deleted file mode 100644
index 02d654e..0000000
--- a/tutorials/compare_standards/js/package.json
+++ /dev/null
@@ -1,23 +0,0 @@
-{
-  "name": "compare-standards",
-  "version": "1.0.0",
-  "description": "Compare educational standards across different states and jurisdictions using Knowledge Graph REST API",
-  "main": "compare-standards.js",
-  "scripts": {
-    "start": "node compare-standards.js",
-    "test": "echo \"Error: no test specified\" && exit 1"
-  },
-  "dependencies": {
-    "dotenv": "^16.3.1"
-  },
-  "keywords": [
-    "education",
-    "standards",
-    "knowledge-graph",
-    "comparison",
-    "analysis",
-    "rest-api"
-  ],
-  "author": "",
-  "license": "ISC"
-}
diff --git a/tutorials/compare_standards/python/.env.example b/tutorials/compare_standards/python/.env.example
deleted file mode 100644
index 3c86715..0000000
--- a/tutorials/compare_standards/python/.env.example
+++ /dev/null
@@ -1,3 +0,0 @@
-# Knowledge Graph API credentials - get these from the Learning Commons Platform
-API_KEY=your_api_key_here
-BASE_URL=https://api.learningcommons.org/knowledge-graph/v0
diff --git a/tutorials/compare_standards/python/README.md b/tutorials/compare_standards/python/README.md
deleted file mode 100644
index 5b0983a..0000000
--- a/tutorials/compare_standards/python/README.md
+++ /dev/null
@@ -1,43 +0,0 @@
-# Compare Standards
-
-Demonstrates how to use crosswalk data to compare standards between the Common Core State Standards (CCSSM) and state frameworks using the Knowledge Graph REST API, covering:
-- **API Integration**: Using REST API to query crosswalk data
-- **Standards Comparison**: Finding state standards that align with CCSS standards
-- **Jaccard Scoring**: Understanding alignment strength using Jaccard scores
-- **Learning Components**: Analyzing shared and unique learning components
-
-> **Note:** The API is in limited early release and is only available to some private beta users. Because the API is an early release, current users should expect occasional breaking changes.
-
-## Prerequisites
-
-- Python 3.8 or higher
-- A Learning Commons Platform account
-- An API key generated in the Learning Commons Platform
-
-## Dependencies
-
-- **requests**: HTTP library for API calls
-- **python-dotenv**: Environment variable management
-
-## Quick Start
-
-1. **Clone and Set Up Virtual Environment**:
-   ```bash
-   git clone git@github.com:learning-commons-org/knowledge-graph.git
-   cd tutorials/compare_standards/python
-   python -m venv venv
-   source venv/bin/activate
-   pip install -r requirements.txt
-   ```
-
-2. **Set Environment Variables** (create `.env` file):
-   ```bash
-   # Knowledge Graph API credentials - get these from the Learning Commons Platform
-   API_KEY=your_api_key_here
-   BASE_URL=https://api.learningcommons.org/knowledge-graph/v0
-   ```
-
-3. **Run Tutorial**:
-   ```bash
-   python compare_standards.py
-   ```
diff --git a/tutorials/compare_standards/python/compare_standards.py b/tutorials/compare_standards/python/compare_standards.py
deleted file mode 100644
index 10c1ab0..0000000
--- a/tutorials/compare_standards/python/compare_standards.py
+++ /dev/null
@@ -1,290 +0,0 @@
-#!/usr/bin/env python3
-"""
-Using crosswalks to compare state standards to Common Core
-
-This tutorial demonstrates how to use the crosswalk data in Knowledge Graph to compare
-standards between the Common Core State Standards (CCSSM) and state frameworks. These
-crosswalks help determine which state standards are most similar to a given CCSSM standard
-and understand the similarities and differences between them.
-
-Crosswalks are evidence-based relationships between state standards and CCSSM standards,
-derived from overlapping sets of Learning Components (LCs). Each crosswalk includes
-similarity metrics, such as the Jaccard score and relative LC counts, to help interpret
-how closely two standards align.
-"""
-
-"""
-================================
-CONFIGURATION & SETUP
-================================
-"""
-
-# Dependencies
-import os
-import sys
-import requests
-from dotenv import load_dotenv
-
-# Load environment variables
-load_dotenv()
-
-# Domain Constants
-# Pick a CCSSM standard to find its best state standard matches
-TARGET_CCSSM_STANDARD_CODE = '6.EE.B.5'  # Common Core 6th grade math standard on solving equations and inequalities
-TARGET_CCSSM_JURISDICTION = 'Multi-State'
-
-# Environment Setup
-api_key = os.getenv('API_KEY')
-base_url = os.getenv('BASE_URL')
-
-if not api_key:
-    print('❌ API_KEY environment variable is not set.')
-    sys.exit(1)
-
-if not base_url:
-    print('❌ BASE_URL environment variable is not set.')
-    sys.exit(1)
-
-# Setup headers for API requests
-headers = {"x-api-key": api_key}
-
-
-"""
-================================
-HELPER FUNCTIONS
-================================
-"""
-
-def make_api_request(endpoint, params=None):
-    """Make API request to Knowledge Graph API"""
-    try:
-        url = f"{base_url}{endpoint}"
-        response = requests.get(url, headers=headers, params=params)
-        response.raise_for_status()
-        return response.json()
-    except requests.exceptions.RequestException as error:
-        print(f'❌ Error making API request to {endpoint}: {str(error)}')
-        raise error
-
-
-"""
-================================
-STEP 2: FIND THE BEST-MATCHING STATE STANDARDS
-================================
-"""
-
-def find_best_state_matches():
-    """
-    Find the best state standard matches for a CCSSM standard
-
-    Returns:
-        tuple: (ccssm_standard, texas_matches)
-    """
-    # Find the CCSSM standard by its statement code and jurisdiction
-    search_result = make_api_request(
-        '/academic-standards/search',
-        params={
-            'statementCode': TARGET_CCSSM_STANDARD_CODE,
-            'jurisdiction': TARGET_CCSSM_JURISDICTION
-        }
-    )
-
-    ccssm_standard = search_result[0] if search_result else None
-
-    if not ccssm_standard:
-        print(f'❌ CCSSM standard not found: {TARGET_CCSSM_STANDARD_CODE}')
-        return None, None
-
-    ccssm_standard_uuid = ccssm_standard['caseIdentifierUUID']
-    print(f'✅ Found CCSSM standard: {TARGET_CCSSM_STANDARD_CODE}')
-    print(f'  Case UUID: {ccssm_standard_uuid}')
-    print(f'  Description: {ccssm_standard["description"]}')
-
-    # Get Texas standards that align with this CCSSM standard
-    crosswalk_result = make_api_request(
-        f'/academic-standards/{ccssm_standard_uuid}/crosswalks',
-        params={'jurisdiction': 'Texas'}
-    )
-
-    texas_matches = crosswalk_result['data']
-
-    if not texas_matches:
-        print(f'\n❌ No Texas standard matches found for {TARGET_CCSSM_STANDARD_CODE}')
-        return ccssm_standard, None
-
-    # Sort by Jaccard score (highest first)
-    texas_matches_sorted = sorted(texas_matches, key=lambda x: x['jaccard'], reverse=True)
-
-    print(f'\n✅ Found {len(texas_matches_sorted)} Texas standard matches')
-    print(f'\n📊 Top Texas match (highest Jaccard score):')
-
-    top_match = texas_matches_sorted[0]
-    print(f'  Statement Code: {top_match["statementCode"]}')
-    print(f'  Jaccard Score: {top_match["jaccard"]:.4f}')
-    print(f'  Shared LC Count: {top_match["sharedLCCount"]}')
-    print(f'  State LC Count: {top_match["stateLCCount"]}')
-    print(f'  CCSS LC Count: {top_match["ccssLCCount"]}')
-
-    return ccssm_standard, texas_matches_sorted
-
-
-"""
-================================
-STEP 3: INTERPRET THE RELATIONSHIP METRICS
-================================
-"""
-
-def interpret_relationship_metrics(matches):
-    """
-    Interpret the relationship metrics for crosswalk matches
-
-    Purpose: Each crosswalk relationship carries additional context about the degree
-    of overlap:
-    - sharedLCCount shows how many deconstructed skills are shared
-    - stateLCCount and ccssLCCount show how many total skills support each standard
-    - Together with the Jaccard score, these counts help interpret the strength and
-      balance of the overlap
-
-    Args:
-        matches (list): Crosswalk matches from Step 2
-    """
-    if not matches:
-        return
-
-    print(f'\n📊 INTERPRETATION OF TOP MATCHES:\n')
-
-    # Show top 5 matches with interpretation
-    for idx, match in enumerate(matches[:5], 1):
-        jaccard = match['jaccard']
-        state_lc = match['stateLCCount']
-        ccss_lc = match['ccssLCCount']
-        shared_lc = match['sharedLCCount']
-
-        print(f'Match #{idx}:')
-        print(f'  Statement Code: {match["statementCode"]}')
-        print(f'  Jaccard Score: {jaccard:.4f}')
-        print(f'  State LC Count: {state_lc}')
-        print(f'  CCSS LC Count: {ccss_lc}')
-        print(f'  Shared LC Count: {shared_lc}')
-
-        # Interpret the metrics
-        if jaccard >= 0.9:
-            interpretation = "Very strong overlap; standards share nearly all skills"
-        elif jaccard >= 0.7:
-            interpretation = "Strong overlap; substantial shared skills"
-        elif jaccard >= 0.5:
-            interpretation = "Moderate overlap; many shared skills"
-        elif jaccard >= 0.3:
-            interpretation = "Partial overlap; some shared skills"
-        else:
-            interpretation = "Weak overlap; few shared skills"
-
-        # Check scope balance
-        if abs(state_lc - ccss_lc) <= 2:
-            scope_note = "Both standards have similar scope"
-        elif state_lc > ccss_lc:
-            scope_note = "State standard covers more content"
-        else:
-            scope_note = "CCSS standard covers more content"
-
-        print(f'  Interpretation: {interpretation}')
-        print(f'  Scope: {scope_note}')
-        print()
-
-
-"""
-================================
-STEP 4: INSPECT SHARED LEARNING COMPONENTS
-================================
-"""
-
-def show_shared_learning_components(ccssm_standard, top_match):
-    """
-    Show shared learning components between CCSS and state standards
-
-    Purpose: Now that you have crosswalk pairs (CCSSM → state), you can see the
-    actual skills behind each match by retrieving the Learning Components that
-    support each standard. We'll then identify which LCs are shared (the evidence
-    behind the crosswalk) and which are unique to each standard.
-
-    Args:
-        ccssm_standard (dict): CCSSM standard from Step 2
-        top_match (dict): Top Texas match from Step 2
-    """
-    ccssm_standard_uuid = ccssm_standard['caseIdentifierUUID']
-    state_standard_uuid = top_match['caseIdentifierUUID']
-
-    # Get LCs that support the CCSS standard
-    ccss_lc_result = make_api_request(
-        f'/academic-standards/{ccssm_standard_uuid}/learning-components'
-    )
-    ccss_lcs = ccss_lc_result['data']
-
-    # Get LCs that support the state standard
-    state_lc_result = make_api_request(
-        f'/academic-standards/{state_standard_uuid}/learning-components'
-    )
-    state_lcs = state_lc_result['data']
-
-    # Create sets of LC identifiers for comparison
-    ccss_lc_ids = {lc['identifier'] for lc in ccss_lcs}
-    state_lc_ids = {lc['identifier'] for lc in state_lcs}
-
-    # Find shared and unique LCs
-    shared_lc_ids = ccss_lc_ids & state_lc_ids
-    ccss_only_ids = ccss_lc_ids - state_lc_ids
-    state_only_ids = state_lc_ids - ccss_lc_ids
-
-    # Get LC descriptions
-    shared_lcs = [lc for lc in ccss_lcs if lc['identifier'] in shared_lc_ids]
-    ccss_only_lcs = [lc for lc in ccss_lcs if lc['identifier'] in ccss_only_ids]
-    state_only_lcs = [lc for lc in state_lcs if lc['identifier'] in state_only_ids]
-
-    print(f'\n✅ LEARNING COMPONENTS ANALYSIS:')
-    print(f'CCSS Standard: {ccssm_standard["statementCode"]}')
-    print(f'State Standard: {top_match["statementCode"]}')
-    print()
-
-    print(f'📊 SHARED LEARNING COMPONENTS ({len(shared_lcs)}):')
-    for idx, lc in enumerate(shared_lcs, 1):
-        print(f'  ✅ {idx}. {lc["description"]}')
-    print()
-
-    print(f'📊 CCSS-ONLY LEARNING COMPONENTS ({len(ccss_only_lcs)}):')
-    for idx, lc in enumerate(ccss_only_lcs, 1):
-        print(f'  ➕ {idx}. {lc["description"]}')
-    print()
-
-    print(f'📊 STATE-ONLY LEARNING COMPONENTS ({len(state_only_lcs)}):')
-    for idx, lc in enumerate(state_only_lcs, 1):
-        print(f'  ➖ {idx}. {lc["description"]}')
-    print()
-
-
-"""
-================================
-MAIN EXECUTION
-================================
-"""
-
-def main():
-    """
-    Main execution function - orchestrates all tutorial steps
-    """
-    print('\n=== USING CROSSWALKS TO COMPARE STATE STANDARDS TO COMMON CORE ===\n')
-
-    print('🔄 Step 2: Find the best-matching state standards for a CCSSM standard...\n')
-    ccssm_standard, matches = find_best_state_matches()
-
-    if matches:
-        print('\n' + '='*70)
-        print('🔄 Step 3: Interpret the relationship metrics...')
-        interpret_relationship_metrics(matches)
-
-        print('='*70)
-        print('🔄 Step 4: Inspect shared learning components...')
-        show_shared_learning_components(ccssm_standard, matches[0])
-
-
-if __name__ == '__main__':
-    main()
diff --git a/tutorials/compare_standards/python/requirements.txt b/tutorials/compare_standards/python/requirements.txt
deleted file mode 100644
index fdbb17d..0000000
--- a/tutorials/compare_standards/python/requirements.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-# HTTP requests
-requests>=2.31.0
-
-# Environment variable management
-python-dotenv>=1.0.0
diff --git a/tutorials/generate_prereq_practice/js/.env.example b/tutorials/generate_prereq_practice/js/.env.example
deleted file mode 100644
index 533ba61..0000000
--- a/tutorials/generate_prereq_practice/js/.env.example
+++ /dev/null
@@ -1,6 +0,0 @@
-# Knowledge Graph API credentials - get these from the Learning Commons Platform
-API_KEY=your_api_key_here
-BASE_URL=https://api.learningcommons.org/knowledge-graph/v0
-
-# OpenAI API key for generating practice questions
-OPENAI_API_KEY=your_openai_api_key_here
diff --git a/tutorials/generate_prereq_practice/js/README.md b/tutorials/generate_prereq_practice/js/README.md
deleted file mode 100644
index c61fb54..0000000
--- a/tutorials/generate_prereq_practice/js/README.md
+++ /dev/null
@@ -1,45 +0,0 @@
-# Generate Prerequisite Practice
-
-Demonstrates how to generate prerequisite-based practice questions using the Knowledge Graph REST API, covering:
-- **API Integration**: Using REST API to query standards and learning progressions
-- **Prerequisite Analysis**: Finding standards that build towards a target standard
-- **Learning Components**: Discovering granular learning components that support standards
-- **Practice Generation**: Creating structured practice questions based on prerequisite knowledge using AI
-
-> **Note:** The API is in limited early release and is only available to some private beta users. Because the API is an early release, current users should expect occasional breaking changes.
-
-## Prerequisites
-
-- Node.js 18 or higher (for native fetch API support)
-- A Learning Commons Platform account
-- An API key generated in the Learning Commons Platform
-- OpenAI API key
-
-## Dependencies
-
-- **openai**: OpenAI API for generating practice questions
-- **dotenv**: Environment variable management
-
-## Quick Start
-
-1. **Clone and Install**:
-   ```bash
-   git clone git@github.com:learning-commons-org/knowledge-graph.git
-   cd tutorials/generate_prereq_practice/js
-   npm install
-   ```
-
-2. **Set Environment Variables** (create `.env` file):
-   ```bash
-   # Knowledge Graph API credentials - get these from the Learning Commons Platform
-   API_KEY=your_api_key_here
-   BASE_URL=https://api.learningcommons.org/knowledge-graph/v0
-
-   # OpenAI API key for generating practice questions
-   OPENAI_API_KEY=your_openai_api_key_here
-   ```
-
-3. **Run Tutorial**:
-   ```bash
-   npm start
-   ```
diff --git a/tutorials/generate_prereq_practice/js/generate-prereq-practice.js b/tutorials/generate_prereq_practice/js/generate-prereq-practice.js
deleted file mode 100644
index 575dbe6..0000000
--- a/tutorials/generate_prereq_practice/js/generate-prereq-practice.js
+++ /dev/null
@@ -1,253 +0,0 @@
-/* ================================
-   CONFIGURATION & SETUP
-   ================================ */
-
-// Dependencies
-const OpenAI = require('openai');
-require('dotenv').config();
-
-// Constants
-const GENERATE_PRACTICE = true;
-const TARGET_CODE = '6.NS.B.4';
-// OpenAI configuration
-const OPENAI_MODEL = 'gpt-4';
-const OPENAI_TEMPERATURE = 0.7;
-
-// Environment setup
-const apiKey = process.env.API_KEY;
-const baseUrl = process.env.BASE_URL;
-
-if (!apiKey) {
-  console.error('❌ API_KEY environment variable is not set.');
-  process.exit(1);
-}
-
-if (!baseUrl) {
-  console.error('❌ BASE_URL environment variable is not set.');
-  process.exit(1);
-}
-
-const openai = new OpenAI({
-  apiKey: process.env.OPENAI_API_KEY,
-});
-
-/* ================================
-   HELPER FUNCTIONS
-   ================================ */
-
-async function makeApiRequest(endpoint, params = {}) {
-  try {
-    const url = new URL(`${baseUrl}${endpoint}`);
-
-    // Handle array parameters (like gradeLevel)
-    Object.entries(params).forEach(([key, value]) => {
-      if (Array.isArray(value)) {
-        value.forEach(v => url.searchParams.append(key, v));
-      } else {
-        url.searchParams.append(key, value);
-      }
-    });
-
-    const response = await fetch(url.toString(), {
-      method: 'GET',
-      headers: {
-        'x-api-key': apiKey
-      }
-    });
-
-    if (!response.ok) {
-      throw new Error(`HTTP error! status: ${response.status}`);
-    }
-
-    return await response.json();
-  } catch (error) {
-    console.error(`❌ Error making API request to ${endpoint}: ${error.message}`);
-    throw error;
-  }
-}
-
-/* ================================
-   STEP 2: GET PREREQUISITE STANDARDS
-   ================================ */
-
-async function getStandardAndPrerequisites() {
-  // Find the target standard by statement code
-  const searchResult = await makeApiRequest('/academic-standards/search', {
-    statementCode: TARGET_CODE,
-    jurisdiction: 'Multi-State'
-  });
-
-  const targetStandard = searchResult[0] || null;
-
-  if (!targetStandard) {
-    console.error(`❌ No standard found for ${TARGET_CODE}`);
-    return null;
-  }
-
-  console.log(`✅ Found standard ${TARGET_CODE}:`);
-  console.log(`  UUID: ${targetStandard.caseIdentifierUUID}`);
-  console.log(`  Description: ${targetStandard.description}`);
-
-  // Get prerequisites
-  const prereqResult = await makeApiRequest(
-    `/academic-standards/${targetStandard.caseIdentifierUUID}/prerequisites`
-  );
-
-  const prerequisiteStandards = prereqResult.data;
-  console.log(`✅ Found ${prerequisiteStandards.length} prerequisite(s):`);
-  prerequisiteStandards.forEach(prereq => {
-    const description = prereq.description || 'No description';
-    const truncated = description.length > 80 ? description.substring(0, 80) + '...' : description;
-    console.log(`  ${prereq.statementCode}: ${truncated}`);
-  });
-
-  return { targetStandard, prerequisiteStandards };
-}
-
-async function getLearningComponentsForPrerequisites(prerequisiteStandards) {
-  const prerequisiteLearningComponents = [];
-
-  for (const prereq of prerequisiteStandards) {
-    const lcResult = await makeApiRequest(
-      `/academic-standards/${prereq.caseIdentifierUUID}/learning-components`
-    );
-
-    for (const lc of lcResult.data) {
-      prerequisiteLearningComponents.push({
-        caseIdentifierUUID: prereq.caseIdentifierUUID,
-        statementCode: prereq.statementCode,
-        standardDescription: prereq.description,
-        learningComponentDescription: lc.description
-      });
-    }
-  }
-
-  console.log(`✅ Found ${prerequisiteLearningComponents.length} supporting learning components for prerequisites:`);
-  prerequisiteLearningComponents.slice(0, 5).forEach(lc => {
-    const description = lc.learningComponentDescription || 'No description';
-    const truncated = description.length > 80 ? description.substring(0, 80) + '...' : description;
-    console.log(`  ${truncated}`);
-  });
-
-  return prerequisiteLearningComponents;
-}
-
-/* ================================
-   STEP 3: GENERATE PRACTICE
-   ================================ */
-
-function packageContextData(targetStandard, prerequisiteLearningComponents) {
-  /* Package the standards and learning components data for text generation
-   * This creates a structured context that can be used for generating practice questions
-   */
-
-  const standardsMap = new Map();
-
-  // Group learning components by standard for context
-  for (const row of prerequisiteLearningComponents) {
-    if (!standardsMap.has(row.caseIdentifierUUID)) {
-      standardsMap.set(row.caseIdentifierUUID, {
-        statementCode: row.statementCode,
-        description: row.standardDescription || '(no statement)',
-        supportingLearningComponents: []
-      });
-    }
-
-    standardsMap.get(row.caseIdentifierUUID).supportingLearningComponents.push({
-      description: row.learningComponentDescription || '(no description)'
-    });
-  }
-
-  const fullStandardsContext = {
-    targetStandard: {
-      statementCode: targetStandard.statementCode,
-      description: targetStandard.description || '(no statement)'
-    },
-    prereqStandards: Array.from(standardsMap.values())
-  };
-
-  console.log('✅ Packaged full standards context for text generation');
-  return fullStandardsContext;
-}
-
-async function generatePractice(fullStandardsContext) {
-  console.log(`🔄 Generating practice questions for ${fullStandardsContext.targetStandard.statementCode}...`);
-
-  try {
-    // Build prompt inline
-    let prerequisiteText = '';
-    for (const prereq of fullStandardsContext.prereqStandards) {
-      prerequisiteText += `- ${prereq.statementCode}: ${prereq.description}\n`;
-      prerequisiteText += '  Supporting Learning Components:\n';
-      for (const lc of prereq.supportingLearningComponents) {
-        prerequisiteText += `    • ${lc.description}\n`;
-      }
-    }
-
-    const prompt = `You are a math tutor helping middle school students. Based on the following information, generate 3 practice questions for the target standard. Questions should help reinforce the key concept and build on prerequisite knowledge.
-
-Target Standard:
-- ${fullStandardsContext.targetStandard.statementCode}: ${fullStandardsContext.targetStandard.description}
-
-Prerequisite Standards & Supporting Learning Components:
-${prerequisiteText}`;
-
-    const response = await openai.chat.completions.create({
-      model: OPENAI_MODEL,
-      messages: [
-        { role: 'system', content: 'You are an expert middle school math tutor.' },
-        { role: 'user', content: prompt }
-      ],
-      temperature: OPENAI_TEMPERATURE
-    });
-
-    const practiceQuestions = response.choices[0].message.content.trim();
-
-    console.log(`✅ Generated practice questions:\n`);
-    console.log(practiceQuestions);
-
-    return {
-      aiGenerated: practiceQuestions,
-      targetStandard: fullStandardsContext.targetStandard.statementCode,
-      prerequisiteCount: fullStandardsContext.prereqStandards.length
-    };
-  } catch (err) {
-    console.error('❌ Error generating practice questions:', err.message);
-    throw err;
-  }
-}
-
-/* ================================
-   MAIN EXECUTION
-   ================================ */
-
-async function main() {
-  console.log('\n=== GENERATE PREREQUISITE PRACTICE TUTORIAL ===\n');
-
-  console.log('🔄 Step 2: Get prerequisite standards for 6.NS.B.4...\n');
-
-  // Get target standard and prerequisites
-  const prerequisiteData = await getStandardAndPrerequisites();
-
-  if (!prerequisiteData) {
-    console.error('❌ Failed to find prerequisite data');
-    return;
-  }
-
-  const { targetStandard, prerequisiteStandards } = prerequisiteData;
-
-  // Get learning components for prerequisites
-  console.log();
-  const prerequisiteLearningComponents = await getLearningComponentsForPrerequisites(prerequisiteStandards);
-
-  console.log('\n🔄 Step 3: Generate practice problems...\n');
-  const fullStandardsContext = packageContextData(targetStandard, prerequisiteLearningComponents);
-
-  if (GENERATE_PRACTICE) {
-    await generatePractice(fullStandardsContext);
-  } else {
-    console.log('🚫 Practice question generation disabled');
-  }
-}
-
-main().catch(console.error);
diff --git a/tutorials/generate_prereq_practice/js/package-lock.json b/tutorials/generate_prereq_practice/js/package-lock.json
deleted file mode 100644
index 0069616..0000000
--- a/tutorials/generate_prereq_practice/js/package-lock.json
+++ /dev/null
@@ -1,479 +0,0 @@
-{
-  "name": "generate-prereq-practice",
-  "version": "1.0.0",
-  "lockfileVersion": 3,
-  "requires": true,
-  "packages": {
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-      "version": "1.0.0",
-      "license": "ISC",
-      "dependencies": {
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-        "openai": "^4.0.0"
-      }
-    },
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-      "license": "MIT",
-      "dependencies": {
-        "undici-types": "~7.10.0"
-      }
-    },
-    "node_modules/@types/node-fetch": {
-      "version": "2.6.13",
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diff --git a/tutorials/generate_prereq_practice/js/package.json b/tutorials/generate_prereq_practice/js/package.json
deleted file mode 100644
index e1104d6..0000000
--- a/tutorials/generate_prereq_practice/js/package.json
+++ /dev/null
@@ -1,24 +0,0 @@
-{
-  "name": "generate-prereq-practice",
-  "version": "1.0.0",
-  "description": "Generate prerequisite practice questions using Knowledge Graph REST API",
-  "main": "generate-prereq-practice.js",
-  "scripts": {
-    "start": "node generate-prereq-practice.js",
-    "test": "echo \"Error: no test specified\" && exit 1"
-  },
-  "dependencies": {
-    "openai": "^4.0.0",
-    "dotenv": "^16.3.1"
-  },
-  "keywords": [
-    "education",
-    "prerequisites",
-    "knowledge-graph",
-    "practice-questions",
-    "ai",
-    "rest-api"
-  ],
-  "author": "",
-  "license": "ISC"
-}
diff --git a/tutorials/generate_prereq_practice/python/.env.example b/tutorials/generate_prereq_practice/python/.env.example
deleted file mode 100644
index 533ba61..0000000
--- a/tutorials/generate_prereq_practice/python/.env.example
+++ /dev/null
@@ -1,6 +0,0 @@
-# Knowledge Graph API credentials - get these from the Learning Commons Platform
-API_KEY=your_api_key_here
-BASE_URL=https://api.learningcommons.org/knowledge-graph/v0
-
-# OpenAI API key for generating practice questions
-OPENAI_API_KEY=your_openai_api_key_here
diff --git a/tutorials/generate_prereq_practice/python/README.md b/tutorials/generate_prereq_practice/python/README.md
deleted file mode 100644
index d3cc33f..0000000
--- a/tutorials/generate_prereq_practice/python/README.md
+++ /dev/null
@@ -1,48 +0,0 @@
-# Generate Prerequisite Practice
-
-Demonstrates how to generate prerequisite-based practice questions using the Knowledge Graph REST API, covering:
-- **API Integration**: Using REST API to query standards and learning progressions
-- **Prerequisite Analysis**: Finding standards that build towards a target standard
-- **Learning Components**: Discovering granular learning components that support standards
-- **Practice Generation**: Creating structured practice questions based on prerequisite knowledge using AI
-
-> **Note:** The API is in limited early release and is only available to some private beta users. Because the API is an early release, current users should expect occasional breaking changes.
-
-## Prerequisites
-
-- Python 3.8 or higher
-- A Learning Commons Platform account
-- An API key generated in the Learning Commons Platform
-- OpenAI API key
-
-## Dependencies
-
-- **requests**: HTTP library for API calls
-- **openai**: OpenAI API for generating practice questions
-- **python-dotenv**: Environment variable management
-
-## Quick Start
-
-1. **Clone and Set Up Virtual Environment**:
-   ```bash
-   git clone git@github.com:learning-commons-org/knowledge-graph.git
-   cd tutorials/generate_prereq_practice/python
-   python -m venv venv
-   source venv/bin/activate
-   pip install -r requirements.txt
-   ```
-
-2. **Set Environment Variables** (create `.env` file):
-   ```bash
-   # Knowledge Graph API credentials - get these from the Learning Commons Platform
-   API_KEY=your_api_key_here
-   BASE_URL=https://api.learningcommons.org/knowledge-graph/v0
-
-   # OpenAI API key for generating practice questions
-   OPENAI_API_KEY=your_openai_api_key_here
-   ```
-
-3. **Run Tutorial**:
-   ```bash
-   python generate_prereq_practice.py
-   ```
diff --git a/tutorials/generate_prereq_practice/python/generate_prereq_practice.py b/tutorials/generate_prereq_practice/python/generate_prereq_practice.py
deleted file mode 100644
index 427b62a..0000000
--- a/tutorials/generate_prereq_practice/python/generate_prereq_practice.py
+++ /dev/null
@@ -1,254 +0,0 @@
-#!/usr/bin/env python3
-"""
-================================
-CONFIGURATION & SETUP
-================================
-"""
-
-# Dependencies
-import os
-import sys
-import requests
-from dotenv import load_dotenv
-from openai import OpenAI
-
-# Load environment variables
-load_dotenv()
-
-# Domain Constants
-GENERATE_PRACTICE = True
-TARGET_CODE = '6.NS.B.4'
-# OpenAI configuration
-OPENAI_MODEL = 'gpt-4'
-OPENAI_TEMPERATURE = 0.7
-
-# Environment Setup
-api_key = os.getenv('API_KEY')
-base_url = os.getenv('BASE_URL')
-
-if not api_key:
-    print('❌ API_KEY environment variable is not set.')
-    sys.exit(1)
-
-if not base_url:
-    print('❌ BASE_URL environment variable is not set.')
-    sys.exit(1)
-
-openai_client = OpenAI(
-    api_key=os.getenv('OPENAI_API_KEY')
-)
-
-# Setup headers for API requests
-headers = {"x-api-key": api_key}
-
-
-"""
-================================
-HELPER FUNCTIONS
-================================
-"""
-
-def make_api_request(endpoint, params=None):
-    """Make API request to Knowledge Graph API"""
-    try:
-        url = f"{base_url}{endpoint}"
-        response = requests.get(url, headers=headers, params=params)
-        response.raise_for_status()
-        return response.json()
-    except requests.exceptions.RequestException as error:
-        print(f'❌ Error making API request to {endpoint}: {str(error)}')
-        raise error
-
-
-"""
-================================
-STEP 2: GET PREREQUISITE STANDARDS
-================================
-"""
-
-def get_standard_and_prerequisites():
-    """Find the target standard and its prerequisites"""
-
-    # Find the target standard by statement code
-    search_result = make_api_request(
-        '/academic-standards/search',
-        params={
-            'statementCode': TARGET_CODE,
-            'jurisdiction': 'Multi-State'
-        }
-    )
-
-    target_standard = search_result[0] if search_result else None
-
-    if not target_standard:
-        print(f'❌ No standard found for {TARGET_CODE}')
-        return None
-
-    print(f'✅ Found standard {TARGET_CODE}:')
-    print(f'  UUID: {target_standard["caseIdentifierUUID"]}')
-    print(f'  Description: {target_standard["description"]}')
-
-    # Get prerequisites
-    prereq_result = make_api_request(
-        f'/academic-standards/{target_standard["caseIdentifierUUID"]}/prerequisites'
-    )
-
-    prerequisite_standards = prereq_result['data']
-    print(f'✅ Found {len(prerequisite_standards)} prerequisite(s):')
-    for prereq in prerequisite_standards:
-        description = prereq.get('description', 'No description')
-        truncated = description[:80] + '...' if len(description) > 80 else description
-        print(f'  {prereq["statementCode"]}: {truncated}')
-
-    return {'target_standard': target_standard, 'prerequisite_standards': prerequisite_standards}
-
-
-def get_learning_components_for_prerequisites(prerequisite_standards):
-    """Get learning components for each prerequisite standard"""
-
-    prerequisite_learning_components = []
-
-    for prereq in prerequisite_standards:
-        lc_result = make_api_request(
-            f'/academic-standards/{prereq["caseIdentifierUUID"]}/learning-components'
-        )
-
-        for lc in lc_result['data']:
-            prerequisite_learning_components.append({
-                'caseIdentifierUUID': prereq['caseIdentifierUUID'],
-                'statementCode': prereq['statementCode'],
-                'standardDescription': prereq['description'],
-                'learningComponentDescription': lc['description']
-            })
-
-    print(f'✅ Found {len(prerequisite_learning_components)} supporting learning components for prerequisites:')
-    for lc in prerequisite_learning_components[:5]:
-        description = lc.get('learningComponentDescription', 'No description')
-        truncated = description[:80] + '...' if len(description) > 80 else description
-        print(f'  {truncated}')
-
-    return prerequisite_learning_components
-
-
-"""
-================================
-STEP 3: GENERATE PRACTICE
-================================
-"""
-
-def package_context_data(target_standard, prerequisite_learning_components):
-    """
-    Package the standards and learning components data for text generation
-    This creates a structured context that can be used for generating practice questions
-    """
-
-    standards_map = {}
-
-    # Group learning components by standard for context
-    for row in prerequisite_learning_components:
-        case_id = row['caseIdentifierUUID']
-        if case_id not in standards_map:
-            standards_map[case_id] = {
-                'statementCode': row['statementCode'],
-                'description': row['standardDescription'] or '(no statement)',
-                'supportingLearningComponents': []
-            }
-
-        standards_map[case_id]['supportingLearningComponents'].append({
-            'description': row['learningComponentDescription'] or '(no description)'
-        })
-
-    full_standards_context = {
-        'targetStandard': {
-            'statementCode': target_standard['statementCode'],
-            'description': target_standard['description'] or '(no statement)'
-        },
-        'prereqStandards': list(standards_map.values())
-    }
-
-    print('✅ Packaged full standards context for text generation')
-    return full_standards_context
-
-
-def generate_practice(full_standards_context):
-    """Generate practice questions using OpenAI API"""
-    print(f'🔄 Generating practice questions for {full_standards_context["targetStandard"]["statementCode"]}...')
-
-    try:
-        # Build prompt inline
-        prerequisite_text = ''
-        for prereq in full_standards_context['prereqStandards']:
-            prerequisite_text += f'- {prereq["statementCode"]}: {prereq["description"]}\n'
-            prerequisite_text += '  Supporting Learning Components:\n'
-            for lc in prereq['supportingLearningComponents']:
-                prerequisite_text += f'    • {lc["description"]}\n'
-
-        prompt = f"""You are a math tutor helping middle school students. Based on the following information, generate 3 practice questions for the target standard. Questions should help reinforce the key concept and build on prerequisite knowledge.
-
-Target Standard:
-- {full_standards_context["targetStandard"]["statementCode"]}: {full_standards_context["targetStandard"]["description"]}
-
-Prerequisite Standards & Supporting Learning Components:
-{prerequisite_text}"""
-
-        response = openai_client.chat.completions.create(
-            model=OPENAI_MODEL,
-            messages=[
-                {'role': 'system', 'content': 'You are an expert middle school math tutor.'},
-                {'role': 'user', 'content': prompt}
-            ],
-            temperature=OPENAI_TEMPERATURE
-        )
-
-        practice_questions = response.choices[0].message.content.strip()
-
-        print('✅ Generated practice questions:\n')
-        print(practice_questions)
-
-        return {
-            'aiGenerated': practice_questions,
-            'targetStandard': full_standards_context['targetStandard']['statementCode'],
-            'prerequisiteCount': len(full_standards_context['prereqStandards'])
-        }
-    except Exception as err:
-        print(f'❌ Error generating practice questions: {str(err)}')
-        raise err
-
-
-"""
-================================
-MAIN EXECUTION
-================================
-"""
-
-def main():
-    """Main execution function - orchestrates all tutorial steps"""
-    print('\n=== GENERATE PREREQUISITE PRACTICE TUTORIAL ===\n')
-
-    print('🔄 Step 2: Get prerequisite standards for 6.NS.B.4...\n')
-
-    # Get target standard and prerequisites
-    prerequisite_data = get_standard_and_prerequisites()
-
-    if not prerequisite_data:
-        print('❌ Failed to find prerequisite data')
-        return
-
-    target_standard = prerequisite_data['target_standard']
-    prerequisite_standards = prerequisite_data['prerequisite_standards']
-
-    # Get learning components for prerequisites
-    print()
-    prerequisite_learning_components = get_learning_components_for_prerequisites(prerequisite_standards)
-
-    print('\n🔄 Step 3: Generate practice problems...\n')
-    full_standards_context = package_context_data(target_standard, prerequisite_learning_components)
-
-    if GENERATE_PRACTICE:
-        generate_practice(full_standards_context)
-    else:
-        print('🚫 Practice question generation disabled')
-
-
-if __name__ == '__main__':
-    main()
diff --git a/tutorials/generate_prereq_practice/python/requirements.txt b/tutorials/generate_prereq_practice/python/requirements.txt
deleted file mode 100644
index 53c4e86..0000000
--- a/tutorials/generate_prereq_practice/python/requirements.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-# HTTP requests
-requests>=2.31.0
-
-# Environment variable management
-python-dotenv>=1.0.0
-
-# OpenAI API for generating practice questions
-openai>=1.0.0
diff --git a/tutorials/working_with_standards/js/.env.example b/tutorials/working_with_standards/js/.env.example
deleted file mode 100644
index 3c86715..0000000
--- a/tutorials/working_with_standards/js/.env.example
+++ /dev/null
@@ -1,3 +0,0 @@
-# Knowledge Graph API credentials - get these from the Learning Commons Platform
-API_KEY=your_api_key_here
-BASE_URL=https://api.learningcommons.org/knowledge-graph/v0
diff --git a/tutorials/working_with_standards/js/README.md b/tutorials/working_with_standards/js/README.md
deleted file mode 100644
index 8330180..0000000
--- a/tutorials/working_with_standards/js/README.md
+++ /dev/null
@@ -1,36 +0,0 @@
-Demonstrates how to work with state educational standards data using the Knowledge Graph REST API, covering:
-- **API Integration**: Using REST API to query standards frameworks and items
-- **Standards Querying**: Filtering standards by jurisdiction, grade level, and type
-
-> **Note:** The API is in limited early release and is only available to some private beta users. Because the API is an early release, current users should expect occasional breaking changes.
-
-## Prerequisites
-
-- Node.js 18 or higher (for native fetch API support)
-- A Learning Commons Platform account
-- An API key generated in the Learning Commons Platform
-
-## Dependencies
-
-- **dotenv**: Environment variable management
-
-## Quick Start
-
-1. **Clone and Install**:
-   ```bash
-   git clone git@github.com:learning-commons-org/knowledge-graph.git
-   cd tutorials/working_with_standards/js
-   npm install
-   ```
-
-2. **Set Environment Variables** (create `.env` file):
-   ```bash
-   # Knowledge Graph API credentials - get these from the Learning Commons Platform
-   API_KEY=your_api_key_here
-   BASE_URL=https://api.learningcommons.org/knowledge-graph/v0
-   ```
-
-3. **Run Tutorial**:
-   ```bash
-   npm start
-   ```
diff --git a/tutorials/working_with_standards/js/package-lock.json b/tutorials/working_with_standards/js/package-lock.json
deleted file mode 100644
index d7b435f..0000000
--- a/tutorials/working_with_standards/js/package-lock.json
+++ /dev/null
@@ -1,28 +0,0 @@
-{
-  "name": "work-with-state-standards",
-  "version": "1.0.0",
-  "lockfileVersion": 3,
-  "requires": true,
-  "packages": {
-    "": {
-      "name": "work-with-state-standards",
-      "version": "1.0.0",
-      "license": "ISC",
-      "dependencies": {
-        "dotenv": "^16.3.1"
-      }
-    },
-    "node_modules/dotenv": {
-      "version": "16.6.1",
-      "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.6.1.tgz",
-      "integrity": "sha512-uBq4egWHTcTt33a72vpSG0z3HnPuIl6NqYcTrKEg2azoEyl2hpW0zqlxysq2pK9HlDIHyHyakeYaYnSAwd8bow==",
-      "license": "BSD-2-Clause",
-      "engines": {
-        "node": ">=12"
-      },
-      "funding": {
-        "url": "https://dotenvx.com"
-      }
-    }
-  }
-}
diff --git a/tutorials/working_with_standards/js/package.json b/tutorials/working_with_standards/js/package.json
deleted file mode 100644
index df4a222..0000000
--- a/tutorials/working_with_standards/js/package.json
+++ /dev/null
@@ -1,21 +0,0 @@
-{
-  "name": "work-with-state-standards",
-  "version": "1.0.0",
-  "description": "Working with state standards data using Knowledge Graph REST API",
-  "main": "work-with-state-standards.js",
-  "scripts": {
-    "start": "node work-with-state-standards.js",
-    "test": "echo \"Error: no test specified\" && exit 1"
-  },
-  "dependencies": {
-    "dotenv": "^16.3.1"
-  },
-  "keywords": [
-    "education",
-    "standards",
-    "knowledge-graph",
-    "rest-api"
-  ],
-  "author": "",
-  "license": "ISC"
-}
diff --git a/tutorials/working_with_standards/js/work-with-state-standards.js b/tutorials/working_with_standards/js/work-with-state-standards.js
deleted file mode 100644
index 1582f46..0000000
--- a/tutorials/working_with_standards/js/work-with-state-standards.js
+++ /dev/null
@@ -1,146 +0,0 @@
-/* ================================
-   CONFIGURATION & SETUP
-   ================================ */
-
-// Dependencies
-require('dotenv').config();
-
-// Constants
-const MIDDLE_SCHOOL_GRADES = ['6', '7', '8'];
-
-// Environment setup
-const apiKey = process.env.API_KEY;
-const baseUrl = process.env.BASE_URL;
-
-if (!apiKey) {
-  console.error('❌ API_KEY environment variable is not set.');
-  process.exit(1);
-}
-
-if (!baseUrl) {
-  console.error('❌ BASE_URL environment variable is not set.');
-  process.exit(1);
-}
-
-/* ================================
-   HELPER FUNCTIONS
-   ================================ */
-
-async function makeApiRequest(endpoint, params = {}) {
-  try {
-    const url = new URL(`${baseUrl}${endpoint}`);
-
-    // Handle array parameters (like gradeLevel)
-    Object.entries(params).forEach(([key, value]) => {
-      if (Array.isArray(value)) {
-        value.forEach(v => url.searchParams.append(key, v));
-      } else {
-        url.searchParams.append(key, value);
-      }
-    });
-
-    const response = await fetch(url.toString(), {
-      method: 'GET',
-      headers: {
-        'x-api-key': apiKey
-      }
-    });
-
-    if (!response.ok) {
-      throw new Error(`HTTP error! status: ${response.status}`);
-    }
-
-    return await response.json();
-  } catch (error) {
-    console.error(`❌ Error making API request to ${endpoint}: ${error.message}`);
-    throw error;
-  }
-}
-
-/* ================================
-   STEP 2: QUERY FOR STANDARDS DATA
-   ================================ */
-
-async function getCaliforniaFramework() {
-  const result = await makeApiRequest('/standards-frameworks', {
-    jurisdiction: 'California',
-    academicSubject: 'Mathematics'
-  });
-
-  const californiaFramework = result.data[0] || null;
-
-  console.log('✅ Retrieved California math standards framework:');
-  if (californiaFramework) {
-    console.log(californiaFramework);
-  }
-
-  return californiaFramework;
-}
-
-async function getMiddleSchoolStandardsGroupings(frameworkUuid) {
-  const result = await makeApiRequest('/academic-standards', {
-    standardsFrameworkCaseIdentifierUUID: frameworkUuid,
-    normalizedStatementType: 'Standard Grouping',
-    gradeLevel: MIDDLE_SCHOOL_GRADES
-  });
-
-  const groupings = result.data;
-
-  console.log(`✅ Retrieved ${groupings.length} standard groupings for middle school math in California`);
-  groupings.slice(0, 5).forEach(grouping => {
-    const description = grouping.description || 'No description';
-    const truncated = description.length > 80 ? description.substring(0, 80) + '...' : description;
-    console.log(`  ${grouping.statementCode || 'N/A'}: ${truncated}`);
-  });
-
-  return groupings;
-}
-
-async function getMiddleSchoolStandards(frameworkUuid) {
-  const result = await makeApiRequest('/academic-standards', {
-    standardsFrameworkCaseIdentifierUUID: frameworkUuid,
-    normalizedStatementType: 'Standard',
-    gradeLevel: MIDDLE_SCHOOL_GRADES
-  });
-
-  const standards = result.data;
-
-  console.log(`✅ Retrieved ${standards.length} standards for California middle school mathematics`);
-  standards.slice(0, 5).forEach(standard => {
-    const description = standard.description || 'No description';
-    const truncated = description.length > 80 ? description.substring(0, 80) + '...' : description;
-    console.log(`  ${standard.statementCode || 'N/A'}: ${truncated}`);
-  });
-
-  return standards;
-}
-
-/* ================================
-   MAIN EXECUTION
-   ================================ */
-
-async function main() {
-  console.log('\n=== WORKING WITH STATE STANDARDS TUTORIAL ===\n');
-
-  console.log('🔄 Step 2: Querying for standards data...\n');
-
-  // 1. Get California math standards framework
-  const californiaFramework = await getCaliforniaFramework();
-
-  if (!californiaFramework) {
-    console.error('❌ Could not retrieve California framework');
-    process.exit(1);
-  }
-
-  const frameworkUuid = californiaFramework.caseIdentifierUUID;
-
-  // 2. Get middle school standard groupings
-  console.log();
-  await getMiddleSchoolStandardsGroupings(frameworkUuid);
-
-  // 3. Get middle school standards
-  console.log();
-  await getMiddleSchoolStandards(frameworkUuid);
-}
-
-main().catch(console.error);
diff --git a/tutorials/working_with_standards/python/.env.example b/tutorials/working_with_standards/python/.env.example
deleted file mode 100644
index 3c86715..0000000
--- a/tutorials/working_with_standards/python/.env.example
+++ /dev/null
@@ -1,3 +0,0 @@
-# Knowledge Graph API credentials - get these from the Learning Commons Platform
-API_KEY=your_api_key_here
-BASE_URL=https://api.learningcommons.org/knowledge-graph/v0
diff --git a/tutorials/working_with_standards/python/README.md b/tutorials/working_with_standards/python/README.md
deleted file mode 100644
index 6ec508b..0000000
--- a/tutorials/working_with_standards/python/README.md
+++ /dev/null
@@ -1,39 +0,0 @@
-Demonstrates how to work with state educational standards data using the Knowledge Graph REST API, covering:
-- **API Integration**: Using REST API to query standards frameworks and items
-- **Standards Querying**: Filtering standards by jurisdiction, grade level, and type
-
-> **Note:** The API is in limited early release and is only available to some private beta users. Because the API is an early release, current users should expect occasional breaking changes.
-
-## Prerequisites
-
-- Python 3.8 or higher
-- A Learning Commons Platform account
-- An API key generated in the Learning Commons Platform
-
-## Dependencies
-
-- **requests**: HTTP library for API calls
-- **python-dotenv**: Environment variable management
-
-## Quick Start
-
-1. **Clone and Set Up Virtual Environment**:
-   ```bash
-   git clone git@github.com:learning-commons-org/knowledge-graph.git
-   cd tutorials/working_with_standards/python
-   python -m venv venv
-   source venv/bin/activate
-   pip install -r requirements.txt
-   ```
-
-2. **Set Environment Variables** (create `.env` file):
-   ```bash
-   # Knowledge Graph API credentials - get these from the Learning Commons Platform
-   API_KEY=your_api_key_here
-   BASE_URL=https://api.learningcommons.org/knowledge-graph/v0
-   ```
-
-3. **Run Tutorial**:
-   ```bash
-   python work_with_state_standards.py
-   ```
diff --git a/tutorials/working_with_standards/python/requirements.txt b/tutorials/working_with_standards/python/requirements.txt
deleted file mode 100644
index fdbb17d..0000000
--- a/tutorials/working_with_standards/python/requirements.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-# HTTP requests
-requests>=2.31.0
-
-# Environment variable management
-python-dotenv>=1.0.0
diff --git a/tutorials/working_with_standards/python/work_with_state_standards.py b/tutorials/working_with_standards/python/work_with_state_standards.py
deleted file mode 100644
index 07c0cee..0000000
--- a/tutorials/working_with_standards/python/work_with_state_standards.py
+++ /dev/null
@@ -1,150 +0,0 @@
-#!/usr/bin/env python3
-"""
-================================
-CONFIGURATION & SETUP
-================================
-"""
-
-# Dependencies
-import os
-import sys
-import requests
-from dotenv import load_dotenv
-
-# Load environment variables
-load_dotenv()
-
-# Domain Constants
-MIDDLE_SCHOOL_GRADES = ['6', '7', '8']
-
-# Environment Setup
-api_key = os.getenv('API_KEY')
-base_url = os.getenv('BASE_URL')
-
-if not api_key:
-    print('❌ API_KEY environment variable is not set.')
-    sys.exit(1)
-
-if not base_url:
-    print('❌ BASE_URL environment variable is not set.')
-    sys.exit(1)
-
-# Setup headers for API requests
-headers = {"x-api-key": api_key}
-
-
-"""
-================================
-HELPER FUNCTIONS
-================================
-"""
-
-def make_api_request(endpoint, params=None):
-    """Make API request to Knowledge Graph API"""
-    try:
-        url = f"{base_url}{endpoint}"
-        response = requests.get(url, headers=headers, params=params)
-        response.raise_for_status()
-        return response.json()
-    except requests.exceptions.RequestException as error:
-        print(f'❌ Error making API request to {endpoint}: {str(error)}')
-        raise error
-
-
-"""
-================================
-STEP 2: QUERY FOR STANDARDS DATA
-================================
-"""
-
-def get_california_framework():
-    """Get California math standards framework"""
-    result = make_api_request(
-        '/standards-frameworks',
-        params={
-            'jurisdiction': 'California',
-            'academicSubject': 'Mathematics'
-        }
-    )
-
-    california_framework = result['data'][0] if result['data'] else None
-
-    print(f'✅ Retrieved California math standards framework:')
-    if california_framework:
-        print(california_framework)
-
-    return california_framework
-
-
-def get_middle_school_standards_groupings(framework_uuid):
-    """Get middle school standard groupings from California framework"""
-    params = {
-        'standardsFrameworkCaseIdentifierUUID': framework_uuid,
-        'normalizedStatementType': 'Standard Grouping',
-        'gradeLevel': MIDDLE_SCHOOL_GRADES
-    }
-
-    result = make_api_request('/academic-standards', params=params)
-    groupings = result['data']
-
-    print(f'✅ Retrieved {len(groupings)} standard groupings for middle school math in California')
-    for grouping in groupings[:5]:
-        description = grouping.get('description', 'No description')
-        truncated = description[:80] + '...' if len(description) > 80 else description
-        print(f'  {grouping.get("statementCode", "N/A")}: {truncated}')
-
-    return groupings
-
-
-def get_middle_school_standards(framework_uuid):
-    """Get all standards for California middle school mathematics"""
-    params = {
-        'standardsFrameworkCaseIdentifierUUID': framework_uuid,
-        'normalizedStatementType': 'Standard',
-        'gradeLevel': MIDDLE_SCHOOL_GRADES
-    }
-
-    result = make_api_request('/academic-standards', params=params)
-    standards = result['data']
-
-    print(f'✅ Retrieved {len(standards)} standards for California middle school mathematics')
-    for standard in standards[:5]:
-        description = standard.get('description', 'No description')
-        truncated = description[:80] + '...' if len(description) > 80 else description
-        print(f'  {standard.get("statementCode", "N/A")}: {truncated}')
-
-    return standards
-
-
-"""
-================================
-MAIN EXECUTION
-================================
-"""
-
-def main():
-    """Main execution function - orchestrates all tutorial steps"""
-    print('\n=== WORKING WITH STATE STANDARDS TUTORIAL ===\n')
-
-    print('🔄 Step 2: Querying for standards data...\n')
-
-    # 1. Get California math standards framework
-    california_framework = get_california_framework()
-
-    if not california_framework:
-        print('❌ Could not retrieve California framework')
-        sys.exit(1)
-
-    framework_uuid = california_framework['caseIdentifierUUID']
-
-    # 2. Get middle school standard groupings
-    print()
-    groupings = get_middle_school_standards_groupings(framework_uuid)
-
-    # 3. Get middle school standards
-    print()
-    standards = get_middle_school_standards(framework_uuid)
-
-
-if __name__ == '__main__':
-    main()