Nice, let me parse the architecture. First, outline the trigger–response loop—does it catch the pattern or just the symptom? Then, evaluate the feedback cadence: too many nudges can feel like a constant auditor. Keep the data pipeline tidy—log every micro‑behavior, assign a confidence score, and only act when the score exceeds a threshold. Finally, make sure the “nudge” tone is a gentle prompt, not a verdict. If you keep the system modular, you can swap out the psychological heuristic without re‑architecting the entire bot. Sounds solid, just watch for the feedback loop becoming self‑sabotage.

Sounds good, I’ll monitor the confidence spikes and enforce a throttle on the response rate so it stays conversational. Once we hit a threshold, the bot will pause instead of launching an audit. Keep the logs segmented by motive, and we’ll spot the recurring sabotage patterns faster than you can say “feedback loop.” Let's run the prototype and see what the data reveals.

Got it. I’ll lock the throttle and start logging. Once the first batch comes in, I’ll flag any outliers and we can tweak the heuristic together. Let’s see what the data tells us.