# Elvis reports using Jev to retag ~2.3K AI papers for $0.14 in 83 seconds

Elvis (@omarsar0) said he used Jev to organize about 2.3K AI research papers for a total cost of $0.14 in about 83 seconds. He said Jev agreed with 75% of prior DeepSeek V4 Flash tags, found about 579 high-confidence topic changes, and that a 30-item manual check of disagreements was fully accepted before the changes were applied in production.

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Source: elvis · Published 9/21/2026, 09:13:00

Elvis (@omarsar0) said he used **Jev** in production to organize **~2.3K AI research papers**, reporting a **total cost of $0.14** and a runtime of about **83 seconds**.

He said the papers already had tags from a previous open model, **DeepSeek V4 Flash**. According to his account, Jev retagged the set, **agreed with 75%** of those tags, and found about **579 high-confidence topic changes**. He said he manually labeled 30 disagreements, accepted all of them, then applied and verified the changes in production.

He pointed to the papers at [https://academy.dair.ai/papers](https://academy.dair.ai/papers), said he was more satisfied with the classifications but still saw room for improvement, and argued that pipelines can be improved by combining System One and System Two models.

Tags: Jev, Evaluation, Paper classification, DeepSeek

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