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Table of Contents
AI Model Data Update - Complete Guide
Overview
The AI Model Data Update system automatically enhances model profiles using intelligent data collection from multiple sources. It combines free web scraping with advanced AI processing, providing cost-effective and comprehensive model information enhancement with License API integration.
Key Features
Multi-Source Data Collection - Free sources first, AI fallback Smart Cost Management - Minimizes expenses through intelligent prioritization License API Integration - Real-time billing and credit management Batch Processing - “Update & Next” for efficient workflows Data Quality Validation - Ensures meaningful, relevant information Real-time Preview - Review and edit before saving
How the System Works
Three-Tier Data Strategy
Tier 1: Free Sources (Priority)
CamModelDB - High-quality structured webcam model data CamsFinder - Multi-site aggregation from major cam platforms Cost: $0.00 - No credits consumed
Tier 2: AI Processing (Fallback)
ComusThumbz AI - Advanced language model processing Grok API Integration - Retrieved securely through License API Cost: $0.60/M input tokens, $1.00/M output tokens
Tier 3: Manual Entry (Last Resort)
User Input - Manual data entry when automation fails Data Import - Bulk upload capabilities Cost: $0.00 - No credits consumed
Smart Source Selection
The system automatically determines which sources to try based on:
Model name pattern - Cam model vs traditional performer Data quality threshold - Minimum 2 meaningful fields required Credit availability - Falls back to free sources if low credits Previous success rates - Learns from historical performance
Getting Started
Prerequisites
Valid License - Active license with credit balance Model Entry - Model must exist in database Network Access - Internet connectivity for source access Permissions - Category 3 access required
Accessing the System
From Models Page:
Locate target model in list Click “AI Data Update” button System automatically loads with model information
Direct Access:
URL: ai_model_data_update.php?model_id=123
Replace 123
with actual model ID
Include return_url
parameter for navigation
Interface Overview
License Status Display
Status | Display | Meaning |
---|---|---|
✅ Verified | Green box with balance | Full functionality available |
⚠️ Warning | Yellow box with message | Limited functionality |
❌ Error | Red box with error details | AI features unavailable |
Model Selection Interface
When no model is pre-selected:
Dropdown Menu - All models with processing status Status Indicators - ✓ for processed models with source info Smart Recommendations - Unprocessed models highlighted Batch Mode - Process all unprocessed models sequentially
Data Collection Process
Step 1: Free Source Attempts
Processing:
Constructs URL: camsite.com/[clean_model_name]
Extracts structured profile data
Validates meaningful field count (minimum 2)
Success Criteria: Age, ethnicity, physical attributes found
CamsFinder Processing:
Checks 12 major cam sites simultaneously Parses JSON-LD structured data when available Falls back to meta tag extraction Success Criteria: Valid, non-generic description found
Step 2: AI Processing (If Needed)
Credit Verification:
Estimates token usage (input + output) Calculates cost: ~$0.0015 per model typical Verifies sufficient credit balance Prevents processing if insufficient credits
API Key Retrieval:
Securely fetches ComusThumbz API key from License API Never stored in config files Includes model information and pricing Validates key before use
AI Processing:
Sends optimized prompt to Grok API Requests JSON response with specific fields Real-time token counting for accurate billing Immediate credit deduction upon completion
Step 3: Data Validation
Quality Checks:
Field Completeness - Meaningful data in key fields Data Consistency - Logical relationships between fields Format Validation - Proper data types and ranges Content Filtering - Removes obviously invalid entries
Review and Editing Interface
Data Source Information
The review page clearly shows:
Source Used - Which system provided the data Cost Information - Credits consumed (if any) Token Usage - Detailed breakdown for AI responses Quality Indicators - Free vs paid source badges
Editable Fields
Field | Description | Validation |
---|---|---|
Model Name | Primary identifier | Required, unique |
Alias | Alternative names | Optional, 255 chars |
Gender | Female/Male/Trans/Couple | Optional dropdown |
Body Type | Slim/Athletic/BBW/etc | Optional, standardized |
Ethnicity | Racial/ethnic background | Optional, respectful terms |
Eye Color | Eye color description | Optional, standard colors |
Hair Color | Hair color description | Optional, standard colors |
Weight | Weight in kilograms | Optional, numeric |
Height | Height in centimeters | Optional, numeric |
Age | Current age | Optional, reasonable range |
Date of Birth | Birth date (YYYY-MM-DD) | Optional, date format |
Measurements | Body measurements | Optional, standard format |
Cup Size | Bra cup size | Optional, standard sizes |
Pubic Hair | Hair grooming style | Optional, standard terms |
City | Current city | Optional, 100 chars |
Country | Current country | Optional, 100 chars |
Tags | Comma-separated keywords | Optional, 1000 chars |
About Me | Biography/description | Optional, unlimited text |
Status | Active/Inactive/Retired | Optional, status terms |
Action Buttons
Approve and Update
Saves data to database immediately
Sets ai_processed = 1
flag
Records data source for tracking
Returns to models page with success message
Update & Next
Saves current model data Automatically finds next unprocessed model Redirects to process next model immediately Enables efficient batch processing Shows completion message when no more models
Reject
Discards suggested data without saving No credits refunded (processing already completed) Returns to models page with rejection message Model remains marked as unprocessed
Cancel
Returns to models page without changes Credits already consumed (if AI was used) Session data cleared No database modifications
Batch Processing Workflow
Setting Up Batch Processing
Start with any unprocessed model Use normal “AI Data Update” process In review interface, use “Update & Next” instead of regular update System automatically progresses to next model
Batch Processing Flow
Step 1: Select and approve current model data
Step 2: System queries: SELECT model_id FROM tblModels WHERE ai_processed=0 AND model_id > current ORDER BY model_id ASC LIMIT 1
Step 3: If next model found, redirect to process it
Step 4: If no more models, show completion message
Step 5: Return to models page with summary
Batch Processing Benefits
Efficiency - No navigation overhead between models Cost Optimization - Continuous processing reduces setup overhead Progress Tracking - Clear indication of remaining models Interruption Handling - Can stop and resume at any point
Cost Management
Understanding Costs
Free Sources (Always Tried First):
CamModelDB scraping: $0.00 CamsFinder aggregation: $0.00 Manual data entry: $0.00
AI Processing (Only When Needed):
Input tokens: $0.60 per 1M tokens Output tokens: $1.00 per 1M tokens Typical model: ~2,500 tokens = $0.0015
Cost Optimization Strategies
Use Standard Names - Increases free source success rate Batch Processing - Reduces per-model overhead Review Settings - Ensure AI only used when beneficial Monitor Balance - Track credit consumption patterns
Credit Management
Pre-Processing Checks:
Automatic balance verification Cost estimation display Insufficient credit warnings Alternative options when low balance
Real-Time Billing:
Immediate token counting Precise cost calculation Instant credit deduction Updated balance display
Troubleshooting
Common Issues
“No valid data found from any source”
Try alternative model name spellings Check if model exists in public databases Use manual data entry as fallback Consider model name variations
“Insufficient credits for AI processing”
Check current credit balance Add credits through license portal Use free sources only (edit manually) Contact support for billing issues
“License API connection failed”
Verify internet connectivity Check license configuration Try refreshing the page Contact support if persistent
“ComusThumbz API key retrieval failed”
License configuration may be invalid API service may be temporarily unavailable Check license portal for service status Contact support for assistance
Error Recovery
Network Failures:
Automatic retry mechanisms Graceful degradation to available sources Clear error messages with next steps Session data preservation
Data Validation Failures:
Highlighted invalid fields Correction suggestions Manual override options Detailed validation messages
Advanced Features
Data Quality Validation
Meaningful Field Detection:
Counts significant data fields Ignores empty or default values Requires minimum threshold for approval Prevents low-quality data acceptance
Content Filtering:
Removes generic placeholder text Filters out promotional content Validates data consistency Ensures age-appropriate content
API Integration Details
License API Security:
API keys never stored locally Encrypted transmission Session-based authentication Audit trail maintenance
Rate Limiting:
Automatic request throttling Concurrent request management Timeout handling Retry logic with backoff
Best Practices
Preparation
Verify Model Names - Use commonly known names/aliases Check Credits - Ensure sufficient balance for batch operations Plan Batches - Group similar model types for efficiency Backup Data - Export before major updates
Processing
Review Carefully - AI data may need verification Use Batch Mode - For multiple models efficiently Monitor Costs - Track credit consumption patterns Validate Results - Ensure data quality before approval
Maintenance
Regular Updates - Refresh model data periodically Credit Monitoring - Set up low-balance alerts Quality Audits - Review AI-processed data quality Source Monitoring - Track success rates by source
Integration Points
Database Integration
tblModels Updates - All standard model fields
Status Tracking - ai_processed
flag management
Source Attribution - ai_data_source
field
Timestamp Management - updated_at
field maintenance
Workflow Integration
Image Processing - Seamless flow to image selection Batch Operations - Continuous model processing Return URL Handling - Context-aware navigation Session Management - Persistent state across requests
Support Resources
Documentation
API Documentation - ComusThumbz AI API reference License Portal - Account and billing management Community Forum - User discussions Video Tutorials - Step-by-step processing guides
Monitoring and Debugging
Error Logs - ../logs/ai-error.log
Credit History - License portal billing section
Performance Metrics - Processing success rates
Source Analytics - Data source effectiveness tracking
Last updated: 2025-06-30