Nobody has shipped an LLM that grades its own draft without a human in the loop
We went looking for prior art on a specific combination: a runner generates a draft with an LLM, a deterministic gate checks it, and — with no human reading it first — the gate decides whether it goes out. Every pipeline we found does one of two things instead. Pipeline A: fully automated, but the gate is technical Several public examples wire an LLM into a CI job that writes a post and pushes it…
A search for prior art on a specific LLM pipeline resulted in two approaches: fully automated with technical gates, and content gates requiring human approval. Neither approach demonstrates a fully automated system that can publish content without human intervention. The only example found was a team that let an LLM publish directly to a platform, which resulted in errors before implementing any checks.
The team's new gate employs fixed rules for keyword scanning and formatting checks, with no human involvement in the decision-making process. This approach is being tested with a single, controlled draft to determine its effectiveness in catching potential issues.
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