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…
Essays & Field Notes
The Journal
Essays on agentic AI and distributed systems, and the architecture that keeps them working under pressure.
total
98
span
10 yrs
topics
7
Tools Don’t Extend an Agent. They Define It.
A 6.7-billion-parameter model, given a handful of tools, beat a model 26 times its size on a range of zero-shot tasks, from factual lookups…
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…
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…
Rising CAC Is a Symptom, Not the Disease
A survey of more than a hundred Indian D2C founders this year surfaced a number that looks like a marketing problem and is actually…
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…
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…
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…
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…
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…