Switching tweet classification to Jev: 6x faster, ~40x cheaper than fastest LLMs
altryne · x · 2026-09-17
Developer @altryne's Chrome extension, Twitter Timeline Analyzer, uses AI to analyze and filter your Twitter/X "For You" feed to check whether it's obsessed with a single topic. He just integrated TypeSafe's Jev decision engine (with @diogoalmeida).
Benchmarks: previously he used the fastest LLMs on Cerebras; Jev is 6x faster and 40x cheaper on this task — per-tweet yes/no calls in 150–300ms at about $0.00002 each.
Design: your LLM writes each topic's criteria once, then Jev judges every tweet against them. The extension works with any OpenAI-compatible API (Cerebras, Groq, OpenAI, Together, OpenRouter, etc.), can tag, highlight, or hide tweets, learns from manual feedback, and ships with W&B Weave observability. Open source on GitHub.
Related event: TypeSafe AI Launches Jev, a Decision-Only Model That Outputs No Text(73 posts)→
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