Statewave Guide — Day 4: We passed the safety test. Then failed the product test

Описание и применение

Проверка безопасности модели прошла успешно, но пользовательская ценность была низкой из‑за технической сложности выводов. Добавлен слой компилятора руководства и рендерера для перевода технических знаний в понятные пользователю инструкции.

Задача

Verified product knowledge from a model does not automatically translate into human‑friendly guidance, leading to technical, unhelpful outputs.

Результат

Safety metrics remained strong while product usefulness improved by filtering technical details and presenting verified capabilities in user‑friendly language.

Рабочий процесс

• 1. Run safety test on model outputs. 2. Measure product usefulness with GPT‑5.6 Sol rubric. 3. Identify technical gaps and missing capabilities. 4. Add Guidance Compiler layer to filter what to tell the user. 5. Add Renderer layer to phrase guidance appropriately. 6. Re‑evaluate outputs for technicality and usefulness.

Доказательства

Wrong-feature claims accepted 0 Unsupported claims accepted 0 Model restraint 30/30 Verified claim yield 95%

Источник

1 / 3 median usefulness 24% rated genuinely useful

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14 / 21 outputs were too technical.

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Technically correct data structures do not automatically know how to talk to humans.

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