Engineering insights, AI strategy, and lessons learned building with emerging technology — from the people doing it.
Building in Public — Many of these posts are dispatches from building shilpiworks.com (production AI agent platform) and Understanding Dementia (free guidebook + 200-concept Knowledge Portal). Filter by “shilpiworks” or “dementia” to read the full stories.
The half-life of a professional skill is now under five years. Annual training cycles cannot keep pace. The companies that lead in five years will be the ones that built a capability stack — not a course catalog.
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Eight noisy measurements. A neural network that has never seen a downward arc. And yet — when Newton's second law is embedded into the loss function — the model predicts the apex, the asymmetric descent, and the landing point within centimeters. A 49× improvement that points to where ML is heading in physics-constrained domains.
Read the full postThe most adaptive software systems of the last twenty years are loosely coupled and tightly integrated. The most adaptive organizations of the next twenty will be the same. The microservices principle separates operational coupling from interface integration — and that separation is the org shape AI leverage actually demands.
Read the full postMost organizations deploying AI today are breeding faster horses — bolting LLMs onto existing workflows to claim a win without changing anything. The automobile shift has not happened yet, and the Ford quote everyone misquotes shows why.
Read the full postMost embedded AI assistants are context-blind — same generic answers whether you're reading about GPU architecture or dementia care. The fix isn't better prompts. It's situational awareness.
Read the full postA PDF sits in a folder. A structured web page creates nodes in a knowledge graph, feeds an AI assistant, and gets richer every time new content connects to it. The container you choose determines whether wisdom accumulates or stagnates.
Read the full postWe generated a complete intelligent textbook, a 30-slide lecture deck, and a narrated video lecture — all in a single Claude Code session. The real lesson is not the speed. It is the pipeline.
Read the full postUnderstanding Dementia — 15 evidence-based chapters and an interactive knowledge portal with 200+ concepts — is now available for free at netrii.com.
Read the full postTheory of Constraints is easy to explain and hard to internalize. The bike shop simulator compresses the idea into a few minutes of hands-on play: find the bottleneck, watch work pile up, move the constraint, and see why local efficiency is not the same thing as system throughput.
Read the full postMost software teams think their bottleneck lives in coding speed. The SDLC simulator shows a different reality: delivery usually slows because of handoffs, queues, reviews, and context switching. Once you can see the work move, the operating problem becomes much easier to name.
Read the full postAI is making it easier to build subsystems and systems of systems. That shifts the bottleneck toward judgment: what to build, what to constrain, and how to understand the whole system before it gets too easy to assemble the wrong one quickly. Our new simulators program starts with a Theory of Constraints bike simulator for exactly that reason.
Read the full postThe dispatches capture the thinking. The research briefs, experts, and working systems are where it compounds.