Writing AI Tools

Enough is a beta personal language system for planning, writing, reviewing, and translation. It supports local models and OpenRouter, and is aimed at users who want more control over their data while building a flexible personal knowledge workflow.

An opinionated write-up on where multi-agent systems have and have not delivered value, with concrete comparisons across coding, images, CAD, and BIM, plus a description of Blade’s evidence-first architecture.

An essay arguing that second-person system prompts create attentional overhead and identity fragmentation in agent design, and proposing first-person initialization as an alternative.

Official Google Search Central guidance for website owners on how to show up in generative AI features like AI Overviews and AI Mode. It covers SEO fundamentals, technical structure, local and ecommerce details, and what not to do.

An open-source probabilistic spreadsheet that lets cells hold distributions, confidence intervals, and ranges instead of single values, with formulas that propagate uncertainty.

A practical guide to building an always-on personal AI assistant with Pi, OpenCode Go, Telegram, Resend, Hetzner, Tailscale, GitHub, and Nginx.

An AI conversation tool for journaling, sorting thoughts, and nighttime reflection, positioned as a calm self-reflection assistant.

A MotherDuck blog interview with Wes McKinney on practical AI coding workflows, including spec-driven development, continuous AI code review, and how to keep agent-generated code maintainable.

An article about using GitHub Agentic Workflows to scale documentation QA with a tiered AI setup, combining deterministic checks with LLM-assisted reviews, centralized workflows, and MCP-backed knowledge.

A web app that generates product or project ideas by pairing familiar tools with an added agent layer. The page frames it as an idea generator for “copy idea” style prompts, with a simple call to action to pull the lever for a new departure.

A detailed tutorial that explains what agent tools are and walks through a basic set of implementation patterns for an AI agent in Python, including bash, file, search, edit, and web fetch tools.

A short policy file for the ripgrep project that explains how contributors may use AI tools while contributing, and sets rules for issues, pull requests, and comments.

A playful benchmark dashboard that ranks LLMs based on one person's 10-question scoring process.

A small web app for taking a break from AI and recording a short session away from LLMs.

An educational article explaining world models, latent states, dynamics learning, and planning for agents, with examples from gridworld, Dreamer, and MuZero.

AImpostor is an Electron-based ChatGPT wrapper for macOS that mimics Claude’s visual style and color scheme. The repo includes an install script for placing the app in ~/Applications and a screenshot asset.

An independent white paper proposing a local-deployment path for frontier AI weights, with a PDF, generator script, and a detailed README outlining the argument, sections, and contribution process.

A GitHub-hosted guidelines file for AI coding assistants used in Stanford CS336. It tells assistants how to help students with debugging, explanations, and feedback while avoiding direct solutions or code generation.

An article on applying pace-layer thinking to AI-assisted software development. It explains where generative AI fits well in fast-changing layers, where it is risky in slower layers, and how architecture should separate the two.

A retrospective essay about using LLMs to build and debug a programming language, including memory safety, runtime testing, and tool-assisted code health.

A developer blog post about how GenAI has changed the author’s coding workflow, including Claude, Maestro, Kilo.AI, git worktrees, voice prompting, and custom skills.