The Factory
A governed multi-agent software-delivery system operating on live software, with independent review, human authority, acceptance contracts, and production evidence built into the work.
Enter the Factory →Eddington · Working lab for enterprise AI
Ideas get better when they have somewhere to fail.
Eddington is my working lab: the place where I build systems, develop operating methods, and publish what the work is teaching me.
The system
One body of work. Four different jobs.
The essays examine what AI is doing to companies and work. The Factory tests those ideas on live systems. AIRO and Provance turn the lessons into operating capabilities an enterprise can own.
AI operating model
A method for turning AI activity into an accountable portfolio, a repeatable route to production, measurable returns, and deliberate use of the capacity AI creates.
Explore the method →Validation and evidence
A method for moving requirements and independent challenge earlier, matching rigor to consequence, and assembling defensible evidence as the work happens.
Explore the method →Essays
Writing on AI, work, value, governance, and the systems trying to contain a rapidly rising productive capacity.
Read the notebook →How the pieces connect
Observe.
The essays capture a strategic or operating question worth testing rather than treating it as a finished point of view.
Build.
The Factory turns those questions into an operating system with explicit roles, authorities, controls, and evidence.
Generalize.
AIRO translates the adoption lessons into an enterprise operating model. Provance translates the validation and evidence discipline into an enterprise methodology.
Transfer.
The goal is capability the organization can own — operating methods, tools, decisions, controls, and evidence that survive after an engagement ends.
Signature proof · Factory
I use the Factory to test what happens when AI takes on real work.
Software moves from request to verified production through specialized roles, independent challenge, one human approval gate, and permanent evidence.
The useful question is what breaks, what becomes valuable, and what operating discipline is required when AI increases productive capacity faster than the organization around it can adapt.
See the full systemTwo uses
The methods are built to travel.
Inside the enterprise, the methods become practical operating tools. On a focused problem, they provide a tested starting point rather than a blank consulting page.
Inside the enterprise
The Factory, operating methods, and validation discipline become practical tools for building the organization’s own AI capability.
See executive experience →Selected engagement
A defined problem in AI strategy, operating model, validation, commercialization, or agentic control can start from methods already tested in practice.
Discuss the problem →