An AI Skill for Wills & Estate Planning
A Claude Code / Codex skill that handles the expensive intake portion of estate planning: four steps to install, one weekend of work, roughly $120, and a structured document package for attorney review.
Jeffrey Emanuel: Agentic Coding Tooling, AI Infrastructure & Markets
Founder & CEO of Lumera Network. Creator of the Agentic Coding Tooling Flywheel, a self-reinforcing ecosystem of 14 core tools (MCP Agent Mail, Beads Viewer, CASS, and more) that transform how AI coding agents collaborate. Builder of the FrankenSuite: clean-room Rust reimplementations of foundational software (SQLite, Redis, NumPy, SciPy, PyTorch, and more). 170+ open-source projects with 20K+ GitHub stars.
Latest posts
Using AI Agents and Skills to Migrate Off Slack
Two paired Claude Code / Codex skills that move a company from Slack to self-hosted Mattermost — fail-closed readiness gate, named rollback owner, ~99% lower ongoing cost.
The Overprompting Trap
Why giving AI models too many constraints degrades output quality. The chef analogy, the two-phase approach, and how to get out of the model's way.
Lamport's Bakery Algorithm
A visual, Pythonic implementation of Leslie Lamport's classic solution to the mutual exclusion problem. Illustrates how fair concurrency can be achieved without atomic hardware primitives.
Building a Brain, Not a Calculator: The Bio-Inspired Nanochat Architecture
Transformers are static crystals; brains are living fluids. A deep dive into replacing weights with metabolic, fatigue-prone, and evolving biological analogs.
My Favorite Statistical Measure: Hoeffding's D
Standard correlation misses non-linear relationships. This guide explains Hoeffding's D, a powerful non-parametric measure that detects complex dependencies where Pearson and Spearman fail.
LLM Introspective Compression
Proposes treating LLM context as a 'save state'. By allowing models to compress and manipulate their own internal thought states, we unlock capabilities like reasoning backtracking and reinforcement learning.
Multi-Round LLM Coding Tournament
Demonstrates that collective intelligence outperforms individual genius. A framework where multiple LLMs iteratively refine coding solutions via peer review to break out of local optima.
11 Ways to Break the Transformer: A Model-Guided Mathematical Odyssey
What happens when you let GPT-5 design its own replacement? An exploration of Lie groups, p-adic numbers, and tropical geometry in Deep Learning.
Factor Risk Models and the Hedge Fund Business
An insider's look at how 'smart' risk models like Barra often unknowingly distort incentives, encourage crowding, and create hidden systemic risks within multi-manager platforms.
Making Complex Code Changes with Claude Code
Advocates for 'separating cognition' when using agents. Instead of asking for code directly, use agents to generate granular plans first, spreading the reasoning load across more tokens.
RaptorQ: The Black Magic of Liquid Data
A deep dive into RaptorQ (RFC 6330), the fountain code that turns any file into an infinite stream of interchangeable packets with 0.02% overhead.
Protecting Against AI Prompt Injection
Traces the history of 'jailbreaking' from simple commands to recursive meta-prompts. Argues that internal guardrails always fail and proposes external 'inoculation' strategies.
Dr. GPT: Empowering Your Healthcare Decisions
How to use AI as a tireless patient advocate. Describes a method for synthesizing scattered medical records into a unified dossier to catch missed diagnoses and dangerous drug interactions.
TaxGPT: Using AI for Tax Prep
A practical guide to decomposing tax returns into context-sized chunks for AI analysis. How to find deductions, spot errors, and out-perform human accountants on complex personal returns.
The Incredible Magic of CMA-ES
An interactive deep dive into the Covariance Matrix Adaptation Evolution Strategy. Explains how it adapts to high-dimensional, non-convex landscapes where gradient descent fails.
Engineering the Mindmap Generator
Why pipelines aren't enough. Details the 'non-linear exploration model' architecture needed to extract deep, hierarchical structure from complex documents without hallucination.
PPP Loan Fraud: A Data Science Detective Story
Reconstructs massive fraud patterns in the PPP loan program. Shows how network analysis and simple heuristics could have caught billions in theft that standard banking checks missed.
The Short Case for Nvidia Stock
A 12,000-word deep dive into how AI economics, models like DeepSeek, and GPU supply can collide with valuation narratives. Explores the potential reflexivity of the AI capex cycle.
The Most Impressive Prediction of All Time
Analyzes Pyotr Durnovo's 1914 memorandum to Tsar Nicholas II—an eerily accurate forecast of WWI, the exact alignment of powers, and the inevitable Russian Revolution that would follow.
Building the Python Backend for YTO
A technical retrospective on using FastAPI, SQLModel, and Pydantic to build a heavy-duty async backend. Covers Whisper integration and optimizing for concurrency.
Introducing Our New Next.js Blogging System with Tailwind CSS
A look at our sleek and efficient new blogging system built with Next.js and Tailwind CSS, designed for fast, responsive, and visually appealing content delivery.
Some Thoughts on AI Alignment
Argues that internal alignment (Asimov's laws) is a losing battle. Proposes an external 'criminal justice system' for AI: helper models that monitor and police the primary model's output.
The Lessons of Hermann Grassmann
The story of the self-taught genius who invented linear algebra (the wedge product) decades before it was understood. A lesson on how radical abstractions are often rejected by the establishment.
Next.js GitHub Markdown Blog System
Explains the architecture behind the open-source blogging engine. How to treat GitHub as a headless CMS, using static generation for speed and Git for version control.