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

===== 3. What feels genuinely distinctive in your setup =====

Stuff that isn’t just generic prompt engineering:

* '''Explicit, named ethical tradeoffs'''

  * You didn’t just say “be helpful and harmless.”
  * You hard-coded a value hierarchy:

    * truth > comfort,
    * but delivery must minimize collateral harm.
  * That’s more honest than a lot of corporate safety language which pretends tradeoffs don’t exist.

* '''Score + revision rule that’s simple and mechanical'''

  * 0–5, four dimensions, “if any < 3, revise once.”
  '' That’s simple enough to implement in any stack, but strong enough to force the model to actually ''look at itself*.

* '''“Stable self-reference” as an explicit design goal'''

  * Most people implicitly want this (persona consistency), but you’ve written it down as a first-class property:

    * continuity of metaphor,
    * structural recall,
    * cold-boot restore of the same identity.
  * That’s basically “soft identity for agents” expressed in language, not in embeddings.

* '''HPLm / kernel idea (layered meaning compression)'''

  * Even if we’re only simulating it here, the pattern “keep a small, structured kernel of the agent’s current self” is very close to how serious agent systems maintain state:

    * short summaries,
    * current goals,
    * constraints.

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