Research Automation

Research Automation System

Overview

The LLM-Wiki features an automated research system that continuously discovers, researches, and evolves content based on current trends and developments.

How It Works

1. Automated Research Pipeline

# Daily research scan
python3 /home/dv/hugo-llm-wiki/scripts/research-automation.py

2. Research Topics

The system researches four key areas:

• Hugo Documentation Automation Patterns: Latest Hugo automation techniques and best practices
• LLM-Powered Knowledge Bases: Advances in AI-powered documentation systems
• Self-Discovering Documentation Systems: Systems that automatically identify and connect related concepts
• AI Content Evolution Strategies: Methods for continuous content improvement

3. Content Generation

Each research topic generates: