You raised the money. You built the product. And now you're staring at a spreadsheet that says you have roughly $3,000 a month to spend on marketing, which is either a fortune or pocket change depending on who you ask. Here's the uncomfortable truth: that budget will vanish in about six weeks if you hand it to the wrong team. The fix isn't finding a miracle worker. It's learning to separate signal from noise before you sign anything. This guide walks you through the vetting p

Bringing a large language model into production is rarely as simple as merely picking a model and flipping a switch, because the reality involves far more careful planning than most teams initially expect. How you host and serve that model shapes your speed, cost, and scaling. Teams frequently underestimate the considerable gap that separates a working prototype from a live service, and that gap, when you examine it closely, usually turns out to be a hosting problem in disgui