#ai
21 entries
lesson · September 2026
Representation
See how the same question about the Apollo 11 SysML v2 model changes in tokens, cost and correctness as the representation changes, over recorded runs or live with your own key.
writing · September 2026
Operationalizing Ontology with Language Models
Projects co-written with language models grow semi-structured data that drifts. An ontology is one approach to consistency I wanted to investigate: what one is, how to run a program over it, what that buys, and the small experiment I designed to find out.
lesson · August 2026
Ontology
Operationalize an ontology with a language model. Give the agent a small model of the kitchen instead of a list of what is in it, so that three sizes of model give the same correct answer, and check the kitchen model with a script, because it is only worth having once something checks it.
projects · April 2026
jig
An agent-shape harness that points a real agent at a real CLI and counts what happens: a battery declared in agent-shape.toml, a headless runtime spawned against the fixture, and an LLM judge scoring the transcript on a 4-point scale whose top mark is a first command that was real and worked. A companion check guards the rubric against drift in the tool's own help output.
writing · April 2026
The Larder Lesson
A scrollytelling lesson that builds a small AI harness around meal planning in Claude Code. An applied companion to the AI harnesses series.
lesson · April 2026
Larder
Build a small assistant for dinner out of one agent and a folder of plain files, and learn the shape that transfers to most of the other things you keep doing by hand: when the answer is wrong, correct the file, not the answer.
writing · April 2026
Inference on a Schedule
A nightly CI pipeline that mixes Python and a language model to keep a static site's activity data fresh. The interesting part was discovering which 10% of the work actually needed a model.
projects · April 2026
rune
A Rust command-line tool that managed an agent's skills, subagents and rules the way a package manager manages packages: a git registry as the source, a synced copy under each project's .claude directory, a lockfile naming what was installed, and a hook that reported drift as it happened.
writing · April 2026
The Hunt for Leverage
On test frameworks that tell agents what to do next, and the design patterns that make LLM-generated tests actually correct.
writing · March 2026
Get Lamp
On dark software factories, where they work, where they might not, and a tool we built to explore the gap.
projects · March 2026
muxr
Session multiplexer for AI coding work, written in Rust over tmux. It owns the <repo>/<campaign> address across the tmux session, the campaign files on disk and the runtime's conversation, with a resume engine that snapshots a session and brings it back.
writing · March 2026
AI Harnesses Are For Everyone
A harness is a set of files that turns a stateless AI model into a persistent collaborator. The major labs are racing to move inference closer to your work. Here's how to meet them halfway.
writing · March 2026
LLM-Mediated Experimentation
Giving an LLM access to a real test bench transformed a year-old debugging effort. The root cause was not what anyone thought.
writing · March 2026
Go Architecture for LLM-Maintained Codebases
Structural choices in a Go project built mostly by LLMs: making wrong code fail to compile rather than fail code review.
projects · March 2026
sysml
A Rust toolkit that parses SysML v2 models into a knowledge graph and serves it to people, CI and language-model agents through one core: a clap CLI, a feature-gated MCP server and a skill file that teaches an agent the CLI. A study instrument for how an agent can work a large model without reading it whole.
projects · March 2026
sysml-bench
An evaluation harness that measures whether giving a tool-augmented LLM more tools helps it answer questions about a SysML v2 model: typed tasks scored per field against published schemas, four tool sets called through a command line, public corpora of several sizes, and a pre-registered replication on an independent corpus.
projects · March 2026
synthesist
A Rust CLI that records the process governing a body of code (what was planned, what was agreed, what phase the work is in) as an append-only claim graph an agent can query instead of inferring from a diff. Workflow state is a per-asserter JSON-LD log read back through a disposable index, under a phase machine that halts the agent at an agree step until a human approves the plan.
writing · March 2026
Back to Composable
On why the agent tooling ecosystem is rediscovering the Unix shell, and why MCP is starting to look like Maven.
writing · February 2026
The Merge Request as {Friction, Leverage}
The merge request is both the thing slowing teams down and the thing keeping them safe. That tension is real and worth sitting with.
writing · February 2026
Self Inventory
Between dropping off the kids and my first meeting I built a scrollytelling analysis platform. What does that mean for the skills I spent years developing?
projects · February 2026
Harness Explorer
Static analysis for the AGENTS.md, CLAUDE.md, and skills files that define how an agent behaves in a codebase. A single Go binary follows their references into a knowledge graph, scores it for redundancy, contradiction, and information density, and ranks where the next hour of harness editing saves the most tokens; whether that ranking approximates what matters is untested, since no calibration dataset exists.