Applying SRAL to LangChain: An Architectural Evaluation A systematic evaluation of LangChain's architectural foundations using the SRAL framework Scorecard Summary Component Score Key Finding State ⚠️ Weak-to-Moderate Memory is optional, not architectural.... Agentic AI Architecture Artificial Intelligence 02/01/2026
SRAL Framework: The Four Questions I Ask About Every AI Agent The Problem With Agent Evaluation Most conversations about AI agents focus on capabilities. Can it browse the web? Can it write code? Can it use... Agentic AI Architecture Artificial Intelligence 24/12/2025
PART II — ReAct: The Architecture That Unified Agentic Reasoning Most discussions of ReAct frame it as a clever prompting technique. It isn’t. ReAct is the first time we gave language models a structure for... Agentic AI Artificial Intelligence 19/12/2025
Machine Learning Types Are the Wrong Abstraction for Agentic Systems Executive Summary We still classify machine learning systems by how they are trained. Supervised. Unsupervised. Reinforcement learning. That taxonomy made sense when models were static.... Agentic Systems Architecture Artificial Intelligence 14/12/2025
Statistics: Why Intelligent Systems Must Admit Uncertainty Executive Summary Most intelligent systems don’t fail because they lack data. They fail because they treat estimates as facts. Statistics exists to solve a very... Agentic Systems Artificial Intelligence 13/12/2025
PART I — Why Most Agents Fail: The Architectural Blind Spots Behind CoT and Tool-Only Models Modern agent demos look impressive until you load them with real work. Real constraints. Real ambiguity. Real environments. That’s when most agents collapse. And the... Agentic AI Architecture Artificial Intelligence 12/12/2025
What AI Exploit Benchmarks Actually Tell Us About System Architecture Recently, researchers at Anthropic published a study showing autonomous AI agents discovering and monetizing real software failures in simulated environments. The headlines made it sound... Agentic AI Artificial Intelligence System Design 08/12/2025
The Hidden Architecture Behind Dense Vector Search (and Why It’s Hard to Scale) Most people think dense vector search works like this: embed your documents store the vectors run cosine similarity Done. This is the biggest misunderstanding in... AI Infrastructure System Architecture Vector Databases 27/11/2025
The Hidden Complexity Behind Scaling Dense Vector Search A systems-level explanation for engineers, architects, and anyone building RAG, search, or agent infrastructure. Dense retrieval looks clean on paper. You take an embedding model,... AI Infrastructure Distributed Systems Vector Databases 26/11/2025
Distributed Vector Search: How Real Vector Databases Scale Beyond One Machine Why dense search becomes a routing, sharding, and distributed-systems problem Vector search looks simple when everything fits on one machine. It becomes a different discipline... AI Infrastructure Distributed Systems Vector Databases 25/11/2025
