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Jev์ž๋™ํ™”

Nathan Wilbanks

@NathanWilbanks_

Nathan Wilbanks: ์™€ ๐Ÿคฏ ๋ฐฉ๊ธˆ Jev + @agnt_gg๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ 1๋‹ฌ๋Ÿฌ ๋ฏธ๋งŒ์˜ ๋น„์šฉ์œผ๋กœ 3๋ถ„ ์ด๋‚ด์— 63,045๊ฐœ์˜ ์ด๋ฉ”์ผ์„ ๋ถ„๋ฅ˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ์‹คํ–‰ ์‹œ๊ฐ„: 2๋ถ„

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์™€ ๐Ÿคฏ ๋ฐฉ๊ธˆ Jev + @agnt_gg๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ 1๋‹ฌ๋Ÿฌ ๋ฏธ๋งŒ์˜ ๋น„์šฉ์œผ๋กœ 3๋ถ„ ์ด๋‚ด์— 63,045๊ฐœ์˜ ์ด๋ฉ”์ผ์„ ๋ถ„๋ฅ˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ์‹คํ–‰ ์‹œ๊ฐ„: 2๋ถ„ 54์ดˆ ์ž…๋ ฅ ํ† ํฐ: 23,430,692 ์ถœ๋ ฅ ํ† ํฐ: 4,528,206 ์ด ํ† ํฐ: 27,958,898 ์˜ˆ์ƒ ๋น„์šฉ: $0.9841 ์ด๊ฒƒ์€ LLM ๋น„์šฉ์œผ๋กœ ์ˆ˜๋ฐฑ ๋‹ฌ๋Ÿฌ $$$์˜€์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค.

Original post / EN

WOW ๐Ÿคฏ i just used Jev + @agnt_gg to categorize 63,045 emails in less than 3 minutes for < $1 total runtime: 2 minutes 54 seconds input tokens: 23,430,692 output tokens: 4,528,206 total tokens: 27,958,898 estimated cost: $0.9841 this would have been hundreds $$$ in LLM costs
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