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MotherDuck to launch prompt_jev() for SQL text classification

MotherDuck will demo prompt_jev() in a livestream next Tuesday, bringing TypeSafe AI's Jev model into SQL for text classification: 100,000 rows in 40 seconds at 89% accuracy for $0.50.

MotherDuck

@motherduckArchived 2026.09.24Originally posted 2026.09.23

MotherDuck @motherduckOriginally posted 2026.09.23

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𝟭𝟬𝟬,𝟬𝟬𝟬 𝗿𝗼𝘄𝘀. 𝟰𝟬 𝘀𝗲𝗰𝗼𝗻𝗱𝘀. 𝟴𝟵% 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆. $𝟬.𝟱𝟬. Next Tuesday, we’re going live to demo our new prompt_jev() function, which brings TypeSafe AI’s Jev model to MotherDuck for fast, SQL-native text classification. Jacob Matson, Hamilton Ulmer, and Dumky de Wilde will run it against a live dataset, explain what makes Jev different from a general-purpose LLM, and unpack the benchmark September 29, 9:30am PDT Save your spot: https://luma.com/prompt_jev

x.com/motherduck/status/2102784253024989194Archived 2026.09.24 10:15