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@hrishioa says Jev models fit data-pipeline work, and that using TypeSafe models for entity resolution cut costs by 99%, stayed within a percentage point of Fable, and raised throughput more than 7x. Prompts and results are linked at southbridge.ai.

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Hrishi @hrishioa

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Hrishi (@hrishioa) published this on 2026-09-19. @hrishioa says Jev models fit data-pipeline work, and that using TypeSafe models for entity resolution cut costs by 99%, stayed within a percentage point of Fable, and raised throughput more than 7x. Prompts and results are linked at southbridge.ai. Jev models are incredible for data pipeline work. Correctly integrating @typesafeai models for entity resolution cut costs by 99% while coming within a percentage point of Fable and increasing throughput > 7x. How Jev or TypeSafe is used, in the post's own words: “Jev models are incredible for data pipeline work.” The post does not name a separate audience. It is for people reading what @hrishioa shows here (it links to southbridge.ai; it includes media).

Original posthttps://x.com/hrishioa/status/2101362082369470675

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