For years I had ideas I couldn't build without resources I either didn't have, or had to convince others of the need and wait on someone's calendar. AI changed that.

A browser-based crochet pattern workspace, entering beta. My main commercial product. You design a symbol chart by hand and it builds the chart, writes out the pattern, and checks the stitch math.

Manual-first, with no AI in the tool itself. One structured pattern model keeps the chart, the written text, and the cooking walkthrough in sync, plus a freeform PDF studio, pattern scaling, and garment schematics. Sibling knit and colorwork studios are in alpha, expanding the family beyond crochet.

The project I built to actually understand AI and learn its capabilities. An AI-native system for work: submit intent in plain language, it decomposes the goal into a task graph, routes work to specialized agents, and executes under human governance.

My deep end of the pool. Building it forced me through orchestration, durable workflows, agent design, knowledge persistence, and governance, the systems concepts that make AI genuinely useful instead of just impressive.

TypeScript · Temporal · PostgreSQL/pgvector · Next.js

A creative canon of 270+ world-bible entries with enforced voice consistency, built with AI, for an original world. It also holds four constructed languages and a Voice Lab that speaks them aloud.

Enforced tonal registers per character type; a repeatable write → critique → revise → human-gate loop designed to produce consistent, canon-accurate output at scale without drifting into generic AI prose. Underneath sit four full constructed languages on a deterministic engine, with a Voice Lab that pronounces any of them in a chosen character's voice.

Multi-stage audio segmentation and voice transformation pipeline.

Segments audio by character and transforms voices using ElevenLabs AI. A fast prototype, designed, built, and working in a single session, demonstrating multi-step AI API integration.