Explore how ancient principles of operative language apply to modern AI prompting, with practical guidelines for treating words as instruments of change.
AuthorJohn Deacon
An independent AI researcher 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.
Logos in Hermetic Philosophy: Sound and Structure Together
Hermetic magick treats Logos as both creative sound and rational order. Learn how to work with the Word without losing either vibration or structure.
Why AI Projects Fail Despite Perfect Technology and Talented Teams
Most AI failures aren't technical—they're alignment failures. When teams lack shared direction, even brilliant technology becomes expensive chaos. Here's how to build the cognitive architecture that makes AI investments actually work.
When Your Professional Network Becomes the Ceiling
Your professional network often sets the ceiling on what you can build. Learn how to build relationships through helpfulness, design teams around strengths, and spot potential early.
Journaling for Clarity: When Intent Stays Unspoken Work Drifts
Intent often lives as feeling, guiding choices without a name. Journaling transforms scattered intuition into structured awareness, clarifying purpose and aligning action.
AI Augmentation vs Replacement: Why Top Performers Drive Growth
Two companies, same quarter: one replaced staff with AI and stalled, the other augmented top performers and grew 35%. Learn why augmentation compounds while replacement scales problems.
How to Build Business Leverage Through Systems and Slack
Learn the Recursive Leverage Loop: turn profitable skills into systems, create strategic slack, and use that wiggle room to climb toward higher-leverage work that compounds.
Stop AI feedback loops: Cybernetics and generative AI control
When AI outputs become inputs, synthetic artifacts masquerade as ground truth. Learn cybernetic principles to design interfaces that show variance and control recursive loops.
Semantic Architecture: Bridging the Gap Between Solutions
Good solutions fail when meaning never lands. Learn practical semantic architecture using written frameworks, precise language, and meta prompting to align intent.
Feedback Loops in Copywriting: Avoiding AI Sameness
LLMs boost emotional engagement but speed slides into sameness. Feedback loops with real readers keep AI copywriting aligned to human insight and authentic resonance.