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Stop using your agent logs just for debugging. Use them to train your own model. Today we're launching Agnost AI (YC S26)'s first model: agnost-*******-0.1 Trained for our first customer on their existing production traces & it beat the frontier: +22.9% task success −90.2% latency −94.5% cost If you... show more
696,344 görüntüleme • 1 ay önce •via X (Twitter)
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We're live at

we’ve been cookinggg

cooking is an understatement

most of my agent logs are the agent being confidently wrong and me quietly fixing it somewhere the log never sees.

get agnosted

sick, we are daily users!

cardboard getting better 10% every day

lessgooo bois!!

lfg indeed

Congrats on launch! The speed you’re moving st is insane!

cool

Super cool! Also love the launch video

thanks alex

this is crazy, congratulations on the launch folks!

helll yeahhh!!

hell yeah indeed

@elonmusk you need this for @bot trust me

love agnost

Congrats on the launch Shubham. Wishing you the best. Looking forward to trying Agnost AI hopefully soon.

insane!! lessgoooo 🤯

@Scobleizer I wish there was a way to train the model on the fly. Every time I acquire new data or knowledge, the model should be trained within a few minutes.

🔥

Congrats, best team

lessgoooo 🚀

lfg indeed

bangers

Fire

Lfggg!!!

no wayyyy 🤯🤯 this is sooo goodd

thanks joshi

Okei

This is very cool congrats on the launch!!

thanks hai ta!

Fire!!🔥

the team is cooking hard

So cool! Congrats on the launch guys 🚀

thanks aman

Production traces are already the best training set most teams ignore. Logs stop being waste and become the moat. Curious how you filter noisy traces before fine-tune — that step decides if the model learns your process or your bugs.

Congrats on the launch , those latency and cost numbers are impressive. Curious to see how this scales across more use cases.

congrats on the launch!

thanks parth

Lesss gooo Congratulations guys!!!!

lfg

lfg indeeed

Agent logs are usually buried in observability and never turned into a signal. Training on production traces makes sense. How do you avoid feedback loops when the improved agent changes the trace distribution?

🚀🚀🚀

lesgooo, congrats guys

