I run an LLM in the core loop of a small production app: Mening corrects language learners' writing every day. Unit economics put the everyday call on a cheap, fast model tier, and the output feeds a database, so it has to obey a contract: strict JSON, a closed set of error categories, explanations in the learner's UI language, no inven...
Cross-posted from apimodels.app — the canonical version lives there and is kept up to date.
If you have only ever prompted image models, video models feel like a different instrument. You are no longer describing a frame; you are directing time, cam...
Wiring an AI avatar into a real product is a very different exercise from generating a one-off demo video. Developers care about the things that never show up in a marketing clip: how predictable the output is, how the assets are licensed, whether the tool fits into an existing content pipeline, and how much manual cleanup each generation demands before it ships. Looking at Artlist, HeyGen, and...
submit to towards data science ## 1. The Incident
It's 2:47 PM on a Tuesday. Somewhere on your team, a junior engineer wants to know how much disk space last quarter's render output is taking up. They SSH into the NAS, cd into the shared mount, and type the four most dangerous characters in a storage admin's vocabulary:
Your friends think your idea is great. Your mom loves it. That tells you nothing. If you want strangers to tell you the truth for free, learn how to validate a startup idea on Reddit. It's one of the few places online where people will pick apart your assumptions in public, with zero incentive to be nice to you.
And the sample size is enormous. Reddit averaged around 121 million daily a...
