Can You Quantify a Writing Voice?
I fed nine years of my writing into a 25-dimension analysis pipeline. It handed back a spec sheet for my voice. With tolerances.
Laravel
Non-Convex Labs makes opaque systems legible: teardown reports, agent definitions with documented failure modes, and open source, published with receipts.
Latest posts
Building a Knowledge Base That Speaks to Both Humans and AI
Most knowledge bases serve one audience. Ours serves two through the same data: a web UI for humans and an MCP server for Claude Code. Same wikilinks, same search, same schema. Two interfaces, one system.
Redesigning an AI Document Pipeline: GPT-4o Vision to Gemini
A working AI pipeline was silently failing on 16% of documents, fabricating identifiers for 13% of records, and spending full extraction costs every run even when nothing had changed. Here s what the redesign looked like.
OSS Maintainers Can Inject Their Standards Into Contributors' AI Tools
AI-assisted PRs ignore project standards because the tools never see them. CLAUDE.md and AGENTS.md fix that. Your conventions load into the contributor s AI tool the moment they clone the repo.
The Compound Error Argument Has a Compound Error
The compound error argument against AI agents has real math behind it. But the assumptions it smuggles in describe a system nobody serious is actually building.
Generating Real Release Notes from Minified Electron Apps
I built a pipeline that diffs two AppImage builds of claude-desktop-debian, feeds the deobfuscated JS hunks through Sonnet, and synthesizes actual release notes. Shipping "Version 0.x.y" as a changelog wasn t cutting it.