Agentic
Applied AI work — where documentation systems thinking meets language models. Automations, tools, and integrations that make content smarter, more structured, and more useful to the systems that consume it.
Hand Mirror
A browser-based AR toy where matching fingers across both hands get connected by animated, Excalidraw-style wobbly lines. One color per finger pair, drawn from a fixed palette with no repeats. Two render modes — instant and draw-in animation — toggled entirely by gesture: an OK sign to initiate, thumbs up to confirm, thumbs down to cancel. Lines are never static; they breathe and follow hand movement in real time. Cartoon sound per connection.
Editorial Engine
A multi-agent system that surfaces ranked content opportunities from four live signal sources — changelog releases that deserve a post, developer conversations on Reddit and Hacker News, competitor coverage gaps across deployment platforms and AI-native builders, and undercovered topics in the existing content archive — and produces ready-to-execute briefs with angle, hook, four-beat narrative arc, and title options. A distillation agent cross-references all four outputs and ranks by signal strength. A conversational editorial agent closes the loop. Designed to be adapted per client by swapping agent files.
Agentic Documentation Feedback Triage Pipeline
An autonomous two-agent system that runs on a schedule. Agent one analyzes incoming support tickets, identifies the documentation problem location, and writes structured findings to a shared log. Agent two searches the customer support wiki and other sources, constructs the documentation fix, applies the style guide as a generation constraint, and opens a branch and pull request with the corrected content ready for review. Gate logic stops the pipeline when agent one finds no real problem — keeping the CR queue trustworthy. Mandatory human review gate.