6 articles on llms
Forget the 'act as an expert' templates. After shipping dozens of LLM features in production, here are the prompt engineering techniques that actually improve outputs, reduce costs, and scale reliably.
Spending $10K+/month on OpenAI or Anthropic? Here are the exact tactics that reduced our LLM costs from $15K to $3K/month without sacrificing quality.
Traditional viral loops are predictable. LLM-powered loops adapt, generate, and scale automatically. Learn how to build growth loops that get smarter with every user.
Retrieval-Augmented Generation is powerful, but these common pitfalls can tank your accuracy. Here's what to watch for.
An honest look at when each approach makes sense, with real cost comparisons and performance data.
Context window size is more than just a number. Let's explore what it actually means for your applications.