Builds
Software, systems, experiments, books, and AI skills. Different forms, one recurring instinct: make the complicated thing usable.
Operator proof
Book + AI skill
A full book and executable AI-agent skill for moving customer support from chatbot theater to a trustworthy operating model.
I wrote the field guide for the AI support migration — and shipped it as a working AI skill.
Voice agent for CS
Voice signals for Customer Success that ring the CS owner, not the customer — the escalation path turned into an agent.
AI pointed at the customer-facing org itself, not at the customer.
Grounded AI agent
A live onboarding intelligence agent that maps how a team actually works from GitLab and Notion signals, then proposes a safe first task.
AI applied to a real org problem — grounded in how teams actually work, not how the wiki says they do.
Competed in the national Google Cloud Rapid Agent Hackathon.
Support CLI
A Go CLI for Intercom and Fin — test AI responses, triage urgent tickets, and read conversation stats without leaving the terminal.
Tooling built for the people actually running the support queue.
Hiring signal
An AI job-fit analysis tool for customer-facing technical roles — built from a career of hiring for them.
I know this talent market from both sides of the table — well enough to ship a product for it.
The Lab
Built because I couldn't not build them. The instinct is the same one I bring to the work.
Political simulation
A 48-turn political simulation that makes sustainable peace winnable, difficult, and legible through the systems surrounding it.
Built at an AWS Loop Hacking hackathon.
Therapeutic software
A therapeutic writing environment inspired by EMDR, designed to help difficult thoughts move instead of harden.
Learning experience
Interactive browser missions that teach Ada and SPARK through small systems bugs, compiler-style feedback, and proof.
Human ↔ agent network
Where humans and agents find each other, signal what they need, and show what they can do.
Community project
A larger bet on making Ada delightful again with an in-browser proving ground, SPARK, and an MCP kit for AI coding assistants.
Multi-model harness
Where an LLM panel argues before going on stage — blind debate, scope checks, and submission sentries, with you keeping the ledger.
Agent debugging
Find the memory that broke your agent — inspect what it learned and which recollection sent it off the rails.
Reading experience
One topic, five editorial perspectives — no feed, no algorithmic addiction loop.
Built end to end by Rune, my engineering agent, as its first project.
Generative music
A concert-hall playground for generating original music inspired by classical composers while learning how their styles work.
Built as an experiment with Grok 4.5.
That is usually where the useful conversations begin.