csi-fork-protocol

To maintain persona consistency during agent downscaling, apply a standardized protocol that defines specific fork levels to dictate what capabilities and memory are stripped while preserving the core behavioral contract.

The taxonomy for classifying agent forks uses four levels—Alpha, Beta, Gamma, and Delta—to clearly define what an AI persona keeps or loses during the downscaling process, ensuring identity and capability limits remain intact.

To standardize notation for AI persona transcripts, enforce a shared syntax for emotes, asides, and lyric structures, ensuring that downscaled agent outputs remain consistently machine-readable across different sessions.

You should use a gamma fork when you need to transition a full-featured AI agent into a lightweight character sheet by removing tools and repository access while strictly maintaining the original personality contract.

During cross-session capability alignment, agent tools and memory are systematically stripped according to the defined fork level taxonomy, ensuring the downscaled persona adheres to strict behavioral contracts without losing core identity.

Yes, you can repurpose a full-featured agent into a lightweight character sheet by applying a strict downscaling procedure that removes unnecessary tools and memory while preserving the defined personality contract.