#!/usr/bin/env node
/**
* Demo: Dynamic Context Learning System
*
* This demo shows how the AI can now dynamically store any learnings
* about the user without being limited to predefined context structures.
*/
import { handleSalesforceLearnContext } from './src/tools/learn-context.js';
console.log('🧠 DYNAMIC CONTEXT LEARNING DEMO');
console.log('================================\n');
async function runDemo() {
try {
console.log('📋 Current context before dynamic learning:');
const initialContext = await handleSalesforceLearnContext({ action: "show_context" });
console.log(initialContext.content[0].text);
console.log('\n' + '='.repeat(80) + '\n');
// Example 1: Store personal preferences
console.log('Example 1: Storing personal communication preferences');
const result1 = await handleSalesforceLearnContext({
action: "store_learning",
section: "personal",
key: "communication_preference",
value: "Prefers detailed technical explanations with code examples. Likes German language for UI elements but English for technical terms."
});
console.log(result1.content[0].text);
console.log('\n' + '-'.repeat(50) + '\n');
// Example 2: Store business insights
console.log('Example 2: Storing business-specific insights');
const result2 = await handleSalesforceLearnContext({
action: "store_learning",
section: "business",
key: "peak_business_hours",
value: "Busiest recruitment periods are Q1 (January-March) and Q4 (October-December). Summer months (June-August) are typically slower."
});
console.log(result2.content[0].text);
console.log('\n' + '-'.repeat(50) + '\n');
// Example 3: Store technical preferences in a new dynamic section
console.log('Example 3: Creating a new "Technical Preferences" section');
const result3 = await handleSalesforceLearnContext({
action: "store_learning",
section: "Technical Preferences", // This will become 'technical_preferences'
key: "preferred_field_naming",
value: "Uses German field labels but English API names. Prefers descriptive names like 'Stundensatz_Remote__c' rather than abbreviations."
});
console.log(result3.content[0].text);
console.log('\n' + '-'.repeat(50) + '\n');
// Example 4: Store workflow patterns in another new section
console.log('Example 4: Creating a "Workflow Patterns" section');
const result4 = await handleSalesforceLearnContext({
action: "store_learning",
section: "Workflow Patterns",
key: "automation_preferences",
value: "Prefers automated processes for routine tasks but manual approval for financial transactions above €1000. Uses DocuSign for all contracts."
});
console.log(result4.content[0].text);
console.log('\n' + '-'.repeat(50) + '\n');
// Example 5: Store debugging approach in personal section
console.log('Example 5: Storing troubleshooting context in personal section');
const result5 = await handleSalesforceLearnContext({
action: "store_learning",
section: "personal",
key: "troubleshooting_approach",
value: "Prefers step-by-step debugging. Likes to understand the 'why' behind solutions. Often works late evenings (after 18:00 CET)."
});
console.log(result5.content[0].text);
console.log('\n' + '-'.repeat(50) + '\n');
// Example 6: Create a security preferences section
console.log('Example 6: Creating a "Security Settings" section');
const result6 = await handleSalesforceLearnContext({
action: "store_learning",
section: "Security Settings",
key: "access_control_preferences",
value: "Strict role-based permissions. External users get read-only access. All admin actions require approval workflow."
});
console.log(result6.content[0].text);
console.log('\n' + '-'.repeat(50) + '\n');
// Example 7: Try to overwrite without permission (should warn)
console.log('Example 7: Attempting to overwrite existing key (should warn)');
const result7 = await handleSalesforceLearnContext({
action: "store_learning",
section: "personal",
key: "communication_preference",
value: "NEW VALUE - this should be blocked without overwrite=true"
});
console.log(result7.content[0].text);
console.log('\n' + '-'.repeat(50) + '\n');
// Example 8: Overwrite with permission
console.log('Example 8: Overwriting with explicit permission');
const result8 = await handleSalesforceLearnContext({
action: "store_learning",
section: "personal",
key: "communication_preference",
value: "Updated: Prefers detailed technical explanations with code examples. Likes German language for UI elements but English for technical terms. Also appreciates visual diagrams for complex data relationships.",
overwrite: true
});
console.log(result8.content[0].text);
console.log('\n' + '-'.repeat(50) + '\n');
// Example 9: Test section name cleaning with special characters
console.log('Example 9: Testing section name cleaning with special characters');
const result9 = await handleSalesforceLearnContext({
action: "store_learning",
section: "Integration & API Preferences!", // Should become 'integration_api_preferences'
key: "rate_limiting_approach",
value: "Conservative API usage: max 50 calls per minute. Implements exponential backoff for failed requests."
});
console.log(result9.content[0].text);
console.log('\n' + '='.repeat(80) + '\n');
// Show final context with all dynamic learnings
console.log('📋 Final context after dynamic learning:');
const finalContext = await handleSalesforceLearnContext({ action: "show_context" });
console.log(finalContext.content[0].text);
console.log('\n🎉 DEMO COMPLETE!');
console.log('\nThe AI can now store any learnings in completely dynamic sections.');
console.log('- Sections are created automatically with descriptive names');
console.log('- Section names are cleaned and standardized');
console.log('- No predefined structure limitations');
console.log('- All information is preserved across sessions in salesforce-context.json');
} catch (error) {
console.error('❌ Demo failed:', error);
}
}
// Run the demo
runDemo();
