jev claims 10x faster, cheaper agents via routing, auto review and subagent orchestration
gabriel1 · x · 2026-09-18
- Developer dafant reports making @GetEnergy up to 24% faster with jev's auto review, claiming jev is 15x faster and 50% cheaper than gpt-5.6-luna for this task.
- jev outlines four techniques for 10x faster/cheaper agents:
- Model routing: pick the right model per task without training a custom router;
- Computer use: faster, cheaper and more reliable for action-heavy tasks;
- Auto review: use jev to judge whether an action is safe instead of a slow, expensive LLM;
- Subagent orchestration: long-running agents parallelize with subagents, but every user message can wake the expensive orchestrator (e.g. $1 to wake gpt-6 astra with 100k input tokens) — jev decides how each event is handled.
Related event: jev Claims 10x Agent Speedup, Real-World Tests Show 24%(2 posts)→
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