How I adapted the reactive agent pattern from academic review writing to create a personalized news curation system that fights information overload through intelligent deduplication and search…
From processed content to final PDF - document assembly, LaTeX compilation, performance optimization, and the caching strategies that make complex AI workflows practical.
Ensuring citation accuracy through automated bibliography processing - duplicate detection, format validation, and reference consistency in AI-generated academic content.
How the system validates, fixes, and optimizes LaTeX code generated by AI - ensuring syntactically correct documents that compile without errors.
Deep dive into the sequential section writing process - from subsection generation to quality review loops, managing context and maintaining academic standards.
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.
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.
Deep dive into the multi-agent architecture using LangGraph - state management, workflow orchestration, and the divide-and-conquer approach to complex AI tasks.
Exploring the challenge of automatically generating comprehensive review articles from web research - defining the problem space and core requirements.
Learn how to implement intelligent related posts using local AI embeddings with Ollama, featuring semantic similarity, caching, and deployment strategies for Astro blogs.
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