LinkedInยทTuesday, 11 August 2026ยท15d ago
Everyone's looking for the easy answer to AI costs: just default to the cheapest model, right? ๐ช๐ฒ ๐๐ฟ๐ถ๐ฒ๐ฑ ๐๐ต๐ฎ๐. ๐๐ ๐ฑ๐ผ๐ฒ๐๐ป'๐โฆ
VaultSpeed
5,706 followers
Everyone's looking for the easy answer to AI costs: just default to the cheapest model, right? ๐ช๐ฒ ๐๐ฟ๐ถ๐ฒ๐ฑ ๐๐ต๐ฎ๐. ๐๐ ๐ฑ๐ผ๐ฒ๐๐ป'๐ ๐๐ผ๐ฟ๐ธ.
Join us for a live session on 'Token Spend in Data Engineering', where we're sharing what we've actually learned. The real lever isn't picking the cheapest model everywhere, it's matching the right model to the right task.
๐ช๐ต๐ฎ๐ ๐๐ผ ๐ฒ๐
๐ฝ๐ฒ๐ฐ๐:
โ Why blanket-cheap-model doesn't hold up, and what good model-to-task matching looks like in practice
โ A live demo in Omnigent, showing how Polly helps get that matching right
โ Why building good skills can be a smart upfront investment and how the ROI scales with skill quality
โ Real experience, not theory, grounded in what we've actually seen in the field
This one's built to be a conversation, not a lecture. Drop your own experiences with token spend in the comments before the session. What have you tried, what's worked, what hasn't and we'll bring them into the discussion live.
โฅ 14โป 4
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A freestyle AI build looks cheap until it needs rework. 30 minutes, about $2 a run, with retries pushing it past $10. ๐๐ฑ๐ฑโฆ
Summer's winding down (or maybe you're still counting down the days), either way, here's what's been happening at VaultSpeed this August.โฆ
๐ง๐ต๐ฒ ๐ฎ๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ ๐ฟ๐ฒ๐๐ถ๐ฒ๐ ๐ฎ๐น๐๐ฎ๐๐ ๐ฒ๐ป๐ฑ๐ ๐๐ต๐ฒ ๐๐ฎ๐บ๐ฒ ๐๐ฎ๐. Everyone agrees on what the platform should do.โฆ
Token cost is a number every AI team already tracks. It maps onto something data architects and engineers already know intuitively: contextโฆ
๐ ๐ฏ๐ฎ๐ป๐ธ ๐ฝ๐ผ๐ถ๐ป๐๐ฒ๐ฑ ๐ฎ ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ถ๐ฐ ๐๐ ๐ฎ๐ด๐ฒ๐ป๐ ๐ฎ๐ ๐ถ๐๐ ๐ฟ๐ฎ๐ ๐ฑ๐ฎ๐๐ฎ. ๐๐ฐ๐ฐ๐๐ฟ๐ฎ๐ฐ๐: ๐ณ%. ๐๐ผ๐ป๐ณ๐ถ๐ฑ๐ฒ๐ป๐ฐ๐ฒ:โฆ
Still time to register for our joint webinar with AutomateDV this Wednesday, July 22, on closing the loop between Data Vault modeling andโฆ