Blogs
Essays written while building. Some explain a concept from first principles; some describe an architecture we would actually ship. Subscribe by RSS or the newsletter below.
001 · Insurance AI Architecture · Feb 27, 2026 · 12 min
A step-by-step, plain-language walkthrough of how to design a stateful, tool-using AI claims assistant using LangGraph — covering orchestration, shared state, multi-step reasoning, human-in-the-loop controls, and structured resolution outputs.
002
A practical guide to building a stateful, agent-driven insurance workflow that orchestrates eligibility checks, contract validation, shared state management, human oversight, and data-grounded claim summaries.
Applied Generative AI
Feb 27, 2026 · 8 min
003
A practical guide to understanding observability, governance, RAG validation, judge models, and safety guardrails—explained in simple terms for building compliant AI systems in insurance, banking, and regulated industries.
Responsible AI
Feb 27, 2026 · 10 min
004
A clear, layer-by-layer explanation of how modern AI agents are constructed — from probabilistic token prediction to structured tool use, strong typing, and observable orchestration loops.
AI Agents
Feb 4, 2026 · 10 min
005
A protected, travel-ready index of all PDFs in my personal Go learning library.
Internal Library · team only
Feb 1, 2026 · collection
006
A grounded, intuitive introduction to simple linear regression using real-world farming analogies and first-principles reasoning.
Machine Learning Fundamentals
Jan 30, 2026 · 10 min
007
A lesson-by-lesson index of LLM From Scratch videos with quick descriptions and direct links.
Machine Learning Fundamentals · team only
Jan 30, 2026 · course
008
A clear, story-style introduction to AI agents, how they use Generative AI and large language models, and why they feel more like smart helpers than simple chatbots.
AI Fundamentals
Jan 27, 2026 · 6 min
009
Six small prompt shifts turn AI from a dull answer machine into a sharp thinking partner you can use all day, from budgets to bedtime stories.
AI Writing
Jan 26, 2026 · 8 min
010
An intuition-first guide to how large language models turn raw logits into next-token choices, using real-world analogies to explain temperature, top-k, and top-p.
Machine Learning
Jan 25, 2026 · 12 min
011
An intuition-first explanation of how large language models select the next token, demystifying temperature, top-k, and top-p through real-world analogies.
Machine Learning
Jan 16, 2026 · 12 min
012
From raw text to real-time answers: how large language models actually work.
Architecture
Jan 12, 2026 · 8 min
013
How to design and operate Retrieval-Augmented Generation systems over relational and financial tabular data.
Architecture
Jan 2, 2026 · 12 min
Newsletter
Roughly monthly. Double opt-in. Easy to leave.
You are on the list.
A confirmation is on its way. We only write when there is something worth reading.
