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The article introduces the Contrastive Language Model (CLM), which is 9x faster than Jev for System One models, and provides a guide on using Jev in building custom AI harnesses with Pi SDK.
This article is a tutorial on building a custom AI agent harness using the Pi SDK and Jev, a small decision model for efficient tool call handling and checks in agent loops.
A tweet introduces a workflow where GPT-5.5 xhigh plans and delegates implementation to Composer 2.5 subagents via the pi-cursor-sdk, claiming it outperforms using either model alone. The linked GitHub repo is an open-source SDK that integrates Cursor models into the pi agent runtime.