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@chsubhan324: #trending #viralvideo @🦁چوہدری عبداللہ مان🦁

🦁چوہدری سبحان خاں🦁
🦁چوہدری سبحان خاں🦁
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Region: PK
Monday 28 September 2026 15:35:43 GMT
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sehmansaif18
سہمان سیف اللہ :
❤️
2026-09-28 17:47:09
0
ch_asad_shah
$.A.$ :
[Red heart][Red heart][Red heart]
2026-09-28 17:26:33
0
alichaduary397
alichaduary🙌 :
🥰🥰🥰
2026-09-28 17:23:43
0
rehmanarain8
rehmanarain :
❤️❤️❤️
2026-09-28 17:03:30
0
ch.sagar.bhatti1
Ch SAGAR BHATTI 🥷 :
🥰🥰🥰
2026-09-28 16:53:48
0
shirazix1
ملک شیراز 🦅 :
❤️❤️❤️
2026-09-28 16:50:19
0
rburhan01
رانا برھان 🚩 :
💕💕💕
2026-09-28 16:26:34
0
ranashabankhan512
🐺رانا شعبان خاں⚖️ :
[Heartwarming][Heartwarming][Heartwarming]
2026-09-28 16:15:39
0
cheema_590
🦁 چوھدری علی حسنین چیمہ ⚡ :
❤️❤️❤️
2026-09-28 16:07:57
0
nabi.ahmad966
نبی احمد ھنجراء(ذیلدار♠︎) :
❤️❤️❤️
2026-09-28 16:03:30
0
shahzaib.rajpoot766
Shahzaib Rajpoot :
🥰🥰🥰
2026-09-28 16:02:18
0
pardesilaadla00
MIAN RAMEEZ 👑 :
❤️
2026-09-28 16:00:19
0
haseebkamran804
⚜️HAسEEB🦅 :
💙💙💙
2026-09-28 15:59:39
0
khuraim.ansari
خریم انصاری راجے والا :
🥰🥰🥰
2026-09-28 15:59:36
0
ali.mangat56
Ali Mangat :
🥰🥰🥰
2026-09-28 18:27:05
0
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please stand up
please stand up
What Jev actually is, why it's so fast, and what you can build with it. Classification is as old as AI that can read: give it text, ask a question with fixed answers (complaint yes/no · which team · urgency 1–5), and the label drives a rule. The problem: we've been using models built for writing, a few seconds per answer. Jev (TypeSafe, launched Sept 15, founded by one of the OpenAI researchers behind ChatGPT's instruction-following) only decides. It never writes. Send the text once with every question; it scores every answer in one pass: yes/no, pick one, or a score, each with a confidence. 70–500 ms. Input ~$0.042 per million tokens, output free. TypeSafe measured up to ~200× faster and ~400× cheaper than top models on its own workflows, and says real-world gains are usually lower. Builders: a resume screened against 6,000+ companies in 25 seconds for $0.37; 98,000 items labeled in ten minutes. ~13% of paid Vercel AI Gateway teams used it within a day. Calibrated:
What Jev actually is, why it's so fast, and what you can build with it. Classification is as old as AI that can read: give it text, ask a question with fixed answers (complaint yes/no · which team · urgency 1–5), and the label drives a rule. The problem: we've been using models built for writing, a few seconds per answer. Jev (TypeSafe, launched Sept 15, founded by one of the OpenAI researchers behind ChatGPT's instruction-following) only decides. It never writes. Send the text once with every question; it scores every answer in one pass: yes/no, pick one, or a score, each with a confidence. 70–500 ms. Input ~$0.042 per million tokens, output free. TypeSafe measured up to ~200× faster and ~400× cheaper than top models on its own workflows, and says real-world gains are usually lower. Builders: a resume screened against 6,000+ companies in 25 seconds for $0.37; 98,000 items labeled in ten minutes. ~13% of paid Vercel AI Gateway teams used it within a day. Calibrated: "70% sure" should be right ~70% of the time, so software can act alone above a threshold and route the rest to a person. Build with it: every competitor ad, same five questions · every ticket, review, call note and CRM entry across systems, tagged the same way · an agent's actions checked before they run (LangChain already does this). Edges: text only; weak at math, counting, dates; reads your question literally; you design the questions and categories up front. That design is the skill. #jev #aiagent

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