Built with ZTML

Built with ZTML

Current Problem:

1. AI models like ChatGPT or LLMs generate fluent text but don't explain their reasoning.
   • This makes them unreliable for decisions needing traceable logic (law, finance, medicine).
2. Creative AI (image generators, writers) often outputs random or nonsensical ideas because it lacks structured meaning control.
   • Without symbolic coherence, outputs lack depth, intention, or traceable creative logic.

To solve these problems it required re-examining the foundational binary structure of modern computing, which traditionally yields a single deterministic output.

I built ZTML, a symbolic markup language for HTML/CSS/JS that operates inside the browser’s rasterisation rendering pipeline, at the paint stage — the final step before the GPU pushes pixels to the glass.

It allows the computer to add light-logic in the form of new tags that can be added into the index.html page producing dual output.

• symbol — Symbolic identifier bound to Matrix 0211 logic.
• delta — Recursive symbolic difference (+2, 11, etc.).
• mood — Encoded symbolic state (🔥, 🌊, 💎).
• color-key — Deterministic colour mapping to numeric or cryptographic value.