01
Purpose
Which data does the task actually need?
Unli Rice Capture transcribes on the phone. Audio never leaves it.
See the example
How I work
I run a one-person studio. AI helps me plan, build and check the work; I own the decisions.
I start with the Idea clinic: what problem needs solving, who has it, and whether it needs software at all. I look for alternatives and distinguish a personal tool from an idea people might pay for.
Before building, I consider how the idea might succeed or fail and what evidence would change my mind. The clinic can prepare a prompt for an assistant; its WebMCP tool is designed to let a compatible browser agent retrieve it directly.
I describe who the work is for, what it should do, its boundaries and what a passing result looks like. Then I choose whether it calls for an app, a website, a workflow or an agent, and plan how to make it. Significant changes get a written intent and an independent review of the plan.
In Orca, I give a builder a bounded brief and an isolated task branch or worktree. The brief says what can change and how to check it.
I create my own agents and workflows around the tasks I repeat.
I review the changes and run relevant tests against the agreed behaviour. My guardrails call for a separate review agent before higher-risk merges. It is meant to check the change and tests, report evidence and identify what remains untested. I check those findings and whether the result still solves the original problem.
For web work, I also check real browser paths with Jev Browser Control. After significant builds, an independent review looks at what changed and what can be learned.
Unli Rice retrieves decisions, guardrails and next steps through MCP. I check the repository for current technical facts.
A reader can understand how I build.
Rewrite this page; keep the existing site navigation and privacy examples.
Links work, the page reads on mobile, and keyboard users can open the examples.
I use stronger reasoning for uncertain decisions and smaller models for well-specified work. That keeps usage for the decisions that need it.
Opus for planning and review; Sonnet or Haiku for scoped builds when I work in Claude.
Routine planning and review.
Complex architecture and unresolved tradeoffs.
Implementation from a bounded spec.
Small mechanical edits.
I use a review bridge between Claude and Codex so another assistant can challenge a plan before the build and review the finished changes afterwards. Findings and replies stay in a shared review document. Different models can bring different perspectives; I remain responsible for the decisions.
01
Which data does the task actually need?
Unli Rice Capture transcribes on the phone. Audio never leaves it.
02
What crosses a boundary, and who allows it?
Unli Rice never edits another tool’s settings; you paste the block yourself.
03
Your plans, across Apple devices.
Wedding Concierge syncs your main wedding plan through CloudKit on iPhone, iPad and Mac. Use the same iCloud account. No separate app login.
04
If something goes wrong, how is it undone?
ClearSpace clears to Recently Deleted, with 30 days to undo.
AlwaysOnly if you choose
From React Native to Swift.
React Native, with subscriptions.
Rebuilt natively in Swift and SwiftUI, sharing one photo engine with Unli Disk.
React Native→Swift · SwiftUINative app ships. Subscriptions replaced by a single $9.99 purchase.
Split view on iPad, sharper iCloud photos, sturdier purchases.
