fine-tuning
Your team wants to fine-tune a model for better performance. The estimated cost: $30-50K in data prep, training, and infrastructure. But you could get 80% of the benefit from better prompts and evals for $5K. Here's how to know which path actually matters.
July 23, 2026 · 8 min read
AI hiring
A $50M revenue company faces a choice: hire a 3-person ML engineering team ($400K+ annually) or use a managed AI service ($100-200K annually). The wrong choice costs you either excess overhead or months of lost velocity. Here's how to decide.
July 22, 2026 · 8 min read
