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Blog
Models are shipping like software patches now — here's how to stop your stack from breaking
Four labs shipped named model updates in a single week this August. Pinning a model in production needs the same discipline as pinning a dependency.
Pinecone vs. Qdrant vs. Weaviate vs. pgvector: how to actually choose in 2026
Four products now cover the overwhelming majority of production RAG workloads. Here's the real difference between them, and a straightforward way to pick.
Prompt caching is the highest-leverage LLM cost cut available right now
Zero feature changes, up to 90% off input tokens on Anthropic and 50% on OpenAI — and most teams still haven't structured their prompts to take advantage of it.
Building an LLM eval stack: what actually matters
Most eval efforts fail for the same handful of reasons. A workable stack is smaller and less exotic than the tooling landscape suggests.
LangGraph vs. CrewAI in 2026: picking an agent framework
One leads on production maturity, the other on prototyping speed and community size. The right pick depends on whether your workflow needs cycles or specialists.