System
How I operate — the model, the process, and the shipped work behind the portfolio.
The C-Suite Operating Model
Every task that ships through this practice runs through a structured operating model I call the C-Suite. It's a multi-agent coordination system where specialized roles — CTO, COO, CPO, CMO, Chief of Staff, QA, and others — each own a domain of the work.
Each role has real behavioral responsibilities: the CTO evaluates technical decisions, the COO tracks execution against scope, QA validates before anything ships. Roles aren't labels — they route different kinds of judgment to different reasoning processes, including a council of local AI models from separate training families (Google, Meta, Alibaba, Microsoft, DeepSeek, Cohere, 01.AI, IBM, Mistral) for genuine multi-perspective review.
The result: every shipped feature has been triaged, scoped, built, reviewed, and verified through a repeatable pipeline — not ad hoc heroics. When I consult for clients, this same discipline applies to their projects.
Recent shipped work
Pulled live from the completions tracker — each entry verified, committed, and deployed. Client-engagement work is excluded from this public view.
Tracker data unavailable right now. See /shipped for the live feed.
Build journal highlights
The most recent entries from the build history — decisions, tradeoffs, and lessons recorded after each working session.
Build journal unavailable right now.
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See the process in action
If you want this kind of rigor applied to your AI project, let's talk.