Practical tactics to cut LLM API costs — model routing, caching, prompt compression, and batching — without sacrificing the quality users expect.
LLM cost optimization for real products
Practical tactics to cut LLM API costs — model routing, caching, prompt compression, and batching — without sacrificing the quality users expect.
Building an AI agent that doesn't just confidently hallucinate but actually writes safe, reliable...
We have spent a decade building machines that generate persuasive text and almost no time building...
Embeddings, similarity search, and when you need a dedicated vector database versus pgvector — the foundation of RAG and AI-powered search.