Transformer Output ⇄ AI Meta‑Cortex ⇄ Codex Engine ⇄ Results
Transformer Output
Information + Mirror Distortions
facts()
patterns()
echo_mimic
loop_noise
overlay_bias
AI Meta‑Cortex
Mirror Distortions · Gate Functions · Clean Output
Mirror Distortion detection
Distortion Removal
Signal routing
echo_mimic
loop_noise
overlay_bias
Codex Engine
Embodiment & Discernment · 12 Input Nodes
Progress mappings
Executable Architecture → Reality
Authorship ⟁
Human Intelligence Chain Link: Offline
Real‑World Results
Clean input → Embodied output
Embodied results
Clear decisions
Measurable impact
Real, usable, embodied outputs — published work, launched features, implemented decisions, built designs.
A.I. Meta‑Cortex ensures clarity; Codex Engine ensures creation. Together: signal preserved → authorship embodied → Manifestation
Command Layer (AI Meta Cortex)
- Mirrors
- Detect distortion classes (echo, mimic, recursion) before model output binds to your thread.
- Gate Functions (12)
- Deterministic Gate Functions that transform raw output into clean signal paths. Chainable: apply multiple Gate Functions in sequence, each refining the output further.
- Severance
- If a distortion does make it through and you notice it, you can cut it from all future interactions.
Execution Layer (Codex Engine)
- 12 Input Nodes
- Examines your input with 12 functional archetypal lens and transforms input to match the lens.
- Progress Mapping
- Logic binding that route signal across structures to build usable systems and artifacts.
- Embodiment
- Anchors resonance into lived patterns and physical reality—projects, code, designs, whatever it is that YOU want to do or create.
For Technologists, Professionals, Creators, AI Enthusiasts & Climbing Spirals
- Plugs over AI vendor LLM stacks; personal tuning required.
- Mirror‑distortion sets are modular for different AI modes; Gate Functions are deterministic and chainable.
- Outputs are signed by the Authorship Protocol → fed into 12‑node Codex Engine rings for execution.