TypeSafe's Jev model classifies 724 competitor ads in 40 seconds for $0.09
Tool · Reddit · stat: $0.09 TypeSafe releases Jev, a dedicated classification model designed to evaluate predefined schema questions in parallel. The model bypasses conversational LLMs to run…
Tool · Reddit · stat: $0.09
TypeSafe releases Jev, a dedicated classification model designed to evaluate predefined schema questions in parallel. The model bypasses conversational LLMs to run structured audits on competitor ad libraries and landing pages in 200 milliseconds. A recent run processed 724 live competitor ads across 37 brands in 40 seconds for $0.09 in tokens.
Hyper-focused classification models are quietly eating general LLMs' structured workloads Founders can slash data-auditing API costs by swapping general LLMs for ultra-cheap, single-purpose classification models.
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