# ralph-loop

A six-word phrase seized the AI-coding timeline, but nobody boosting it agreed what it meant. This is not the how-to; it is why the loop blew up, its five-year lineage, why the loop is now the costly part, and why the durable asset is the skill it calls.

Without guardrails like CI, the pre-commit gate, the tribunal, and the validator, how bad do AI-written articles get? gu-log has 500+, and the answer needs no imagination — this post, SD-26, is the specimen: it passed every score and still read very AI. The story of a picky editorial desk.

3-minute lightning talk slides. AI has read almost everything — but some concepts aren't in training data yet. What you know that AI doesn't = your leverage.

gu-log had 336 AI-translated posts. We thought they were 'fine' — until we built a multi-agent scoring system and discovered 74% needed rewriting. This is the story of how we designed the eval, ran it overnight, and what we learned.