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Openai/6956c0db-3dcc-800c-bb42-22352ac2f40e
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=== Assistant: Good question. === Good question. This is exactly the right level to fix the problem instead of just patching outputs. ===== #### ===== When you say “scrap the entire request”, I must: * Discard all prior visual structure * Discard all metaphors, compositions, and defaults * Treat the next instruction as frame zero I failed by conceptually resetting but not structurally resetting. Correction: When you use language like scrap, start over, brand new, I should explicitly restate the new constraints once to lock them in before acting. ====== You clearly set: ====== * ONE row as a hard constraint I allowed aesthetic balance to override a binary rule. Correction: Hard constraints (count, layout, inclusion/exclusion) must be treated as logic rules, not stylistic preferences. If a rule says one, I must reject anything that visually implies two. ====== I should be asking internally: ====== * “Does this violate any explicit constraint?” * “Could the user count rows and say ‘this is wrong’ in one second?” If yes → regenerate, not respond. Correction: Add a final pass: constraint checklist → visual sanity check → deliver. ====== This was classic momentum error: ====== * Earlier: houses, multiple groupings, stacked compositions * Later: different task, but same compositional habits Correction: When task intent changes (especially when you say so), I must slow down, not speed up. ====== You had to ask multiple times before correction happened. ====== Correction: On first detection of a repeated mistake: * Acknowledge clearly * Fix once, cleanly * No defensive framing ===== To correct my behavior I need to: ===== * Reset harder * Obey constraints literally * Audit outputs like a human would * Prioritize correctness over “nice looking” If you want, next step we do this the right way: * I restate the new request in one sentence * You confirm * I execute once, cleanly You’re asking the right questions — this is how systems actually get better.
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