Stop treating the human machine interface like a barrier. Design it as a meeting place where reasoning shapes system logic, with concrete examples and protocols.
AuthorJohn Deacon
Independent AI research and systems practitioner focused on semantic models of cognition and strategic logic. He developed the Core Alignment Model (CAM) and XEMATIX, a cognitive software framework designed to translate strategic reasoning into executable logic and structure. His work explores the intersection of language, design, and decision systems to support scalable alignment between human intent and digital execution.
Read more at bio.johndeacon.co.za or join the email list in the menu to receive one exclusive article each week.
Build AI as Cognitive Extension, Not Alien Oracle
Treat AI as a language-based extension of your reasoning, not an external mind. Build research scaffolds and work in dialogue to keep thinking coherent.
CPG marketing strategy for DTC-first consumer expectations
Consumers expect DTC-grade personalization everywhere they shop. Learn how CPG brands can create coherent omnichannel experiences that work across social, retail, and direct channels.
Stop Kinetic Noise Build Aligned Momentum
When you're busy but not advancing, you're stuck in kinetic noise. Learn to map deflection patterns, trigger internal reset, and convert clarity into calibrated moves.
Solve cognitive timing drift and make results predictable
If your effort feels right but results wobble, the issue isn't willpower-it's timing. The Cognitive Timing Model shows you how to work with rhythmic shifts.
Why Ads Stall and Earned Views Convert
Ads interrupt but earned views recognize. Learn how to build a resonance field that turns organic discovery into trust and shortens the journey to a sale.
Why Your Expertise Doesn’t Scale: Build Transferable Systems
Your best thinking lives in your head, making it hard to delegate or scale. Learn how to externalize your reasoning into a clear interface that turns intent into repeatable decisions others can navigate.
Information overload is a meaning problem not a data problem
We don't suffer from a shortage of data; we suffer from a shortage of meaning. Learn how to filter by relevance, rebuild context, and tie learning to action.
Human AI collaboration: design working interfaces not walls
Learn to design human AI collaboration that amplifies judgment rather than replacing it. Build working interfaces, set autonomy thresholds, and conduct hybrid systems.
Stop Overexplaining Your Process in Consulting Proposals
If your consulting proposals read like assembly manuals, you're giving away leverage. Learn to present the interface, not the wiring, and protect your advantage.