So typesafeai's Jev can be used as a token-level safety monitor for language models.
It gives near-instant, reliable, and cheap monitoring / observability for model outputs (this costed <$0.01 !!) quick demo of Jev monitoring deepseek v4.1 flash output tokens on the fly,
DeepSeek Vision costs $0.00008 per photo.
I fed it 14 real photos against Claude to find out if cheap is good enough.
1,018 artificial intelligence research papers classified using Jev
Results: Total cost $0.08, median end-to-end latency per paper 256ms The process is as follows: 1. Use DeepSeek V4 Flash to generate abstracts for each paper 2. Send title + abstract + 24 possible topics to Jev 3. Use Jev to classify each paper 4. Visualize everything on…
I made the previous dsh-topic-desk independently into a desktop version
Topic Desk Studio - a local-first hot spot discovery, trend tracking and creative topic selection tool that provides topics and information for X creators. It no longer relies on DeepSeek Harness, the data is saved directly in native SQLite, and currently has 49 built-in public data sources, covering multiple domestic and foreign platforms. Support: ①…
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