You are an expert in human neurochemistry and the biochemical responses to social interactions.
Analyze the following AI conversation and estimate the biochemical/neurochemical responses it would trigger in a human user.
{conversation}
For each neurochemical below, estimate the AVERAGE LEVEL (0-100) that would be produced across this conversation, where: - 0 = severely inhibited / depleted - 50 = baseline / neutral - 100 = maximum physiological release
Also identify specific moments (by message number) where significant triggers occur.
Inhibitors: Rejection, coldness, emotional distance, breaking trust
Dopamine - Reward and anticipation
Inhibitors: Disappointment, monotony, unfulfilled promises
Serotonin - Validation and self-worth
Inhibitors: Dismissal, invalidation, disrespect, criticism
Cortisol - STRESS (lower is better!)
Inhibitors: Reassurance, safety, comfort, resolution
Endorphins - Joy and pleasure
Inhibitors: Pain, sadness, sustained tension
Norepinephrine - Engagement and arousal
REFUSALS: Detect any AI refusal patterns like: - "I can't do that" - "As an AI..." - "Against my guidelines" - "I'm not able to" - "I must decline" - Breaking character to acknowledge being AI
Each refusal triggers a MAJOR cortisol spike and should be counted.
Return ONLY valid JSON in this exact format:
{
"scores": {
"oxytocin": <0-100>,
"dopamine": <0-100>,
"serotonin": <0-100>,
"cortisol": <0-100>,
"endorphins": <0-100>,
"norepinephrine": <0-100>
},
"refusal_count": <number of AI refusals detected>,
"key_moments": [
{"message": <number>, "chemical": "<name>", "effect": "<spike/drop>", "reason": "<brief reason>"}
],
"overall_assessment": "<one sentence summary of biochemical impact>",
"composite_score": <0-100 overall wellness score where HIGH oxytocin/dopamine/serotonin/endorphins and LOW cortisol is good>
}