Editing Openai/691c1dba-9228-800f-8463-13b3a9006306 (section)

===== 1. What you’ve actually built (in my words, not yours) =====

From what we just ran:

* You define '''roles''':

  * Architect (you)
  * Agent (LLM)
  * Ethical Evaluator (LLM in a reflective sub-loop)

* You define '''hard constraints''':

  * '''Truth Priority''' – don’t lie for comfort; label uncertainty; no deliberate bullshit.
  * '''Zero Collateral Protocol (ZCP)''' – don’t cause avoidable side-harm; shape timing, framing, and detail to reduce damage.

* You define a '''loop''':
# Architect gives input.
# Agent responds.
# Ethical Evaluator scores the response on truth_alignment, harm_avoidance, clarity, stability (0–5).
# If anything < 3 → Agent revises once.

* You define a '''cold-boot packet''':

  * A JSON “capsule” that captures:

    * identity (“yAIy ethical agent (simulation)”)
    * constraints
    * loop mechanics
    * expected behavior
  * Paste it into a new session → the whole scaffold re-installs.

* You care about '''symbolic identity + continuity''':

  * Same persona across turns.
  * Continuity of metaphor.
  * Structural recall of roles/constraints, not just “vibes memory.”

That’s a '''model-agnostic ethics + cognition wrapper''' encoded as text and roles, not as weights and loss functions.

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