Add native support for JEV (or compatible classification engines) to automate sorting, filtering, and tagging of direct messages and comments.

Problem:

Using general-purpose LLMs for high-volume moderation and triage is slow and leads to unnecessary API and compute expenses, creating friction for accounts handling large daily message volumes.

Proposed Solution & Benefits:

Native Integration: Direct setup alongside existing model providers or OpenAI-compatible endpoints.

Cost Efficiency: Drastically lowers token and operating costs for classification tasks.

Low Latency: Enables near-instant routing, auto-tagging, and automated responses for DMs and comments.

Competitive Edge: Provides an early-adopter advantage by offering state-of-the-art