Multiplicity
AI, behavior analysis, systems, and organizational strategy.
Writing, building, and consulting on complex systems using the lenses of behavior analysis, artificial intelligence, experimental and research methods, and executive leadership.
Recent writing
Two papers on how AI actually behaves, and what building with it takes.
A machine that says sorry
Anthropomorphic AI does not merely make software feel human; it changes what users do. Users need not believe AI is sentient. The interface still evokes apology, scolding, and trust in the model's own confessions. The friction is widespread: users manage tone and intention when they should be changing the conditions that more reliably alter AI behavior.
The field that taught machines to learn
Modern AI inherited reinforcement learning from a line running through Thorndike, Skinner, and a century of studying behavior as a function of environment. Now AI is rebuilding measurement in clinical settings. Will behavior analysts again build the tools of their own science or let their vocabulary become raw material for other people's products?
Projects and systems
Software, tools, and research proposals
Current work includes ClawSuite Relay, a coordination layer for multi-agent systems, alongside research programs in formation on AI behavior. Older projects are preserved here too.
Executive AI
An intensive for operators with real responsibility
A short, hands-on intensive for owners, founders, and senior operators who want to move from vague AI exposure to a working implementation path.
Research proposal
An AI benchmark for behavior-analytic reasoning
General AI benchmarks measure breadth. They do not tell us whether a model can distinguish behavioral measurement systems, interpret ABC data, or notice subtle category errors in clinical prose.