Custom AI tools, built for one operator. Shared with the world.
No compromises. No committee design. Each app exists because I needed it — built end-to-end with AI agents, then handed back as a clean install. Tap an app to use it on the web, or Add to Home Screen to run it like a native app.
Home routines
The quiet routines that hold a home up. Air filters, oil changes, sprinklers — every recurring chore tracked locally.
Should you take that offer?
Compare a startup offer against your current package. 4y & 10y projections, break-even math, walk-away verdict.
Walk in prepared.
Paste an interviewer's LinkedIn → 10 questions you'll get + 10 to ask + their backstory + warm threads.
Counter with conviction.
Plug in offer + leverage → counter script + if-they-say-X-say-Y decision tree + walk-away threshold.
Three takes on every outreach.
Recipient + reason → 3 variants: warm-mutual, value-led, direct-ask. Subject lines included.
Cost basis you can defend.
Upload Coinbase or CoinTracker CSV → FIFO/LIFO/HIFO comparison + missing-data flags + AI narrative.
Bug-loop · auto PR · human approval gate
Every app has a bug button. Tap it. Your report opens a GitHub issue. A Claude agent running on my Tailscale-secured home server polls every night, opens fix branches as PRs, and waits for me to approve and ship. You get a reply. The loop closes — and the API key never leaves my infra.
Off-the-shelf apps are best-of-breed for broad use cases. They’re bad at niche, idiosyncratic, “only-I-care” workflows. AI coding agents collapse the cost of building niche software to nearly zero, which means individual operators can now own a full app store of tools tuned to their exact way of working.
This is mine. The apps in it solve problems I’ve hit personally over 17 years in industrial supply chain — the kind of problems where a generic SaaS tool gets you 60% of the way and the last 40% is friction every single day.
No compromises. No committee design. Built end-to-end by one operator + AI agents.