October 12, 2026· ~6 min readNeurosymbolic Agents: Give the LLM a Graph to Reason Over Large language models are extraordinary inductive reasoners and surprisingly poor deductive ones. Ask a model to spot the pattern in a thousand examp
August 27, 2026· ~7 min readTowards Security-Auditable LLM Agents: Unified Graph Representations # Towards Security-Auditable LLM Agents: Unified Graph Representations *How knowledge graphs can make AI agents transparent, traceable, and truly au
June 16, 2026· ~3 min readCreating Interactive Knowledge Graphs for AI Applications Knowledge graphs have emerged as a powerful tool for enhancing AI applications, particularly in retrieval-augmented generation (RAG) systems. Unlike
June 12, 2026· ~9 min readDevOps in the Age of AI: Why Loops Are Mission Critical<img src="/images/diagrams/devops-loops-ai.svg" alt="Three mission-critical DevOps loops in the age of AI: Incident, Deployment, and Optimization, con
May 22, 2026· ~7 min readToken Cost Efficiency: How Graph Structures Reduce LLM Inference Costs Token costs are the dominant line item in LLM deployment. GPT-4.1 at \$2.30/million input tokens sounds small until you're processing 50 documents pe
December 23, 2025· ~1 min readPromptToGraph: Engineering Structured Knowledge {/* This page uses the custom interactive-page layout to embed the full PromptToGraph application */}