AI Strategy

Design Our Engagement

Pick how we work, chat about your project, then configure scope.

tom-compute · idle · waiting on you
Describe what you need
Claude will sketch the architecture, set the scope sliders, and surface the assumptions worth checking.
0% used
ThinkingStrategic thinking
CreativityCreative approach
FrequencyQuarterly
Volume~4 hrs/mo
/month

Chat with the agent or drag a slider to configure the engagement.

METHODOLOGY · HOW I’D WORK THIS ENGAGEMENT

Three skills, applied to your brief

Each section is one of my authored skills made operational on your engagement — not the data the simulator computed, but the methodology I use to think through your build.

thrombosis · your brief coagulating into the engagement

Watch your words become the build. Visible after Pass 1 extracts symbols from your brief.

awaiting Pass 1

The thrombosis trace appears once extraction completes.

four modes · your engagement seen through four cognitive registers

The engagement read through #Wob (aphoristic), #Wom (rhythmic), #Wib (imagistic), and #Wod (diagrammatic). Visible after Pass 8 (modes) completes.

awaiting Pass 8

Four-mode reading appears after the simulator's final pass.

canvas · your engagement made into a thinking environment

A bespoke single-file HTML investigation, generated specifically for this engagement. Three dynamics extracted from your brief, mapped to three interactive parameters. Available after the simulator completes.

awaiting simulation

Canvas is generated from your engagement’s structure. Run the simulator first.

This page is, and is becoming.

A trace from this session travels with you when you shake on it. Otherwise, refresh and begin again.

Truth is.

Background

About Tom

Tom McMillan

I'm Tom McMillan — an independent AI architect and engineer who designs and builds systems that actually work in production.

After leading Maslo, an AI company focused on conversational agents, I went independent to work across the problems I find most interesting: multi-agent systems, knowledge-grounded RAG pipelines, and full-stack AI products spanning finance, sports analytics, media, and climate science.

My approach is simple. I start by understanding your problem — not your stack, not your roadmap — and architect the leanest system that solves it well. Good AI design moves in one direction: complex to compact.

I believe AI is a thinking tool, not a thinking replacement. That belief shapes everything I build.

Let's build something that thinks

Whether you need a multi-agent system, a RAG pipeline, or just a clear-eyed assessment of what AI can actually do for you — I'd like to hear about it.