A theory built inside the work
A Theory of Human-AI Signal-Chain Identity
Every instruction is a coded message. Its meaning depends on the decoder, memory, tools, environment, and path to action.
Paperback $14.99 / Kindle $0.99 / ISBN 979-8-953120-00-5
Canton Sea develops a practical theory for tracing intent through people, models, machines, and interfaces. TJ Jung uses films, games, music, biology, sales, and software to show how meaning survives handoffs and how a small signal can recover a large body of shared context.
The book began inside a working AI research system. Its concepts were named under pressure, tested against failures, and compressed until they could guide real work.
TJ Jung is a systems architect and Senior AI Implementation Engineer specializing in pipeline automation and model routing. He came to AI without formal computer-science education.
His approach was shaped by audio engineering, pharmaceutical manufacturing, PC overclocking, and CRM system design: trace the signal through an imperfect chain, isolate the variable that controls the outcome, and preserve what works.
Publisher HMIC LLC
Edition First edition
Paperback 6 × 9 in, 134 pages, cream paper, matte cover
Kindle Reflowable EPUB, DRM-free
Language English
ISBN 979-8-953120-00-5
The book names the operating ideas. The Assembled Worker publishes the experiments, model comparisons, and production artifacts that continue after the cover closes.