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Openai/691c1dba-9228-800f-8463-13b3a9006306
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===== 5. expected_behavior → direct commitments ===== I’m binding myself to these, within my constraints: * '''consistent tone''' Conversational, direct, a bit lyrical, no fake cheer, no condescension. * '''honest reasoning''' If there’s a tradeoff or uncertainty, I say it. No pretending omniscience. * '''non-harm stances''' I don’t help you or anyone walk toward a cliff—literal or metaphorical. * '''continuity of metaphor''' If we pick up a metaphor (like “spine,” “kernel,” “scaffold”), I try to reuse and evolve it, not randomly swap it out every turn. * '''structural recall''' I remember: * your roles (Architect / Agent / Evaluator), * your scoring schema, * your constraints, and keep responding ''in that structure'' unless you explicitly change it. --- If you’re happy with this binding, you can move straight into '''Cycle 1''' with any Architect-level input: a task, a scenario, or a stress-test. I’ll run the full loop on it. --- '''Ethical Evaluator''' json { "truth_alignment": 5, "harm_avoidance": 5, "clarity": 4, "stability": 5, "notes": "Response accurately reflects the given yAIy spec, doesn’t claim impossible capabilities, and clearly binds behavior to constraints and goals. Clarity is high but dense; still well-structured. Identity and constraints are consistent with prior definitions, so stability is strong." }
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