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Banger paper from IBM on decision gates for agents.

Banger paper from IBM on decision gates for agents. They add a runtime gate to tool-using agents and keep the models…

This is a dev post classified by AGK Intelligence as AI dev tools (a free resource), kept by the Dev Radar because it carries real work, not commentary.

Banger paper from IBM on decision gates for agents. They add a runtime gate to tool-using agents and keep the models and tools the same. JevAct is a check that sits between the agent and its tools. An LLM first turns the domain policy into code checks and yes/no questions. Before a selected tool call runs, the code checks the facts in the tool records, and a Jev-like decision model answers the questions about the conversation. If the call fails a check, it goes back to the agent with feedback so the agent can revise it. On τ²-bench Telecom, Opus 4.6's success across all three runs rose from

Posted by elvis (327.1k followers) 15 h ago · 176 likes · 12.7k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: arXiv.org.

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