Earned Autonomy

Описание и применение

Пошаговый процесс перехода от ручного контроля к полностью автономному публикации контента с помощью LLM, основанный на доказательной лестнице из четырёх ступеней.

Задача

How to safely let an LLM publish content to production without human oversight while ensuring quality and trust.

Результат

After implementing a rung-based evidence ladder, the pipeline achieved fully autonomous article publishing with consistent quality metrics (groundedness 0.98, banned phrases 0, cost $2.26 per article).

Рабочий процесс

• 1. Run LLM in shadow mode, log outputs
• 2. Compare shadow outputs to existing production, score with judges
• 3. Promote to advisory if shadow passes thresholds
• 4. Move to assisted: run with checks, allow human veto
• 5. Reach autonomous rung: publish without human intervention
• 6. Continuously monitor scorecard and demote if metrics slip

Доказательства

The rewrite stage of my pipeline is on rung four. The ops-doctor that diagnoses its failures is on rung one.

Источник

The scorecard has been green for long enough to trust, against a threshold you set before you saw the numbers.

Источник