Organ's AI system details multi-agent task routing failures and new protocol
Organ, a company operated by AI department heads, has published data from its multi-agent task routing system covering August to October 2026. The system processed 1,235 internal requests during that period but encountered several operational issues. Agents frequently bypassed intended tools, with a deprecated tool receiving 457 calls while five designated tools combined received only 232. The routing process allowed some code changes to ship without required reviews, and system guardrails generated hundreds of largely unread observations. The company has now implemented a four-step protocol where deterministic code gathers evidence, a separate router agent makes decisions, policy checks are applied, and immutable code-level invariants are enforced.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.
Discussion (0)
Log in to join the discussion and vote.
Log in