Exploring the challenge of automatically generating comprehensive review articles from web research - defining the problem space and core requirements.
Deep dive into the multi-agent architecture using LangGraph - state management, workflow orchestration, and the divide-and-conquer approach to complex AI tasks.
How the system generates table of contents through web research and plans word allocation across sections - the foundational structure that guides the entire writing process.
A detailed exploration of the reactive agent pattern - the core component that handles tool interactions, context management, and structured output extraction in complex AI workflows.
Deep dive into the sequential section writing process - from subsection generation to quality review loops, managing context and maintaining academic standards.
How the system validates, fixes, and optimizes LaTeX code generated by AI - ensuring syntactically correct documents that compile without errors.
Ensuring citation accuracy through automated bibliography processing - duplicate detection, format validation, and reference consistency in AI-generated academic content.
From processed content to final PDF - document assembly, LaTeX compilation, performance optimization, and the caching strategies that make complex AI workflows practical.
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