OpenClaw has 362,000 GitHub stars and a skill marketplace with over 44,000 community contributions. That kind of adoption doesn’t happen by accident. Still, the same teams running it in production keep running into the same complaint: the model list is fixed. OpenClaw’s guided setup wizard covers OpenAI, Anthropic, Google, DeepSeek, and local Ollama. You can […]

When you first learn how to use OpenClaw, the onboarding flow asks for an API key and points you toward Anthropic or OpenAI. Reasonable starting point. For production agents running dozens of tasks a day, it’s an expensive one. OpenClaw works with any OpenAI-compatible API, so you can swap the default model for an open-weight […]

When you configure OpenClaw for the first time, the model picker looks like a minor config detail. It isn’t. The model you connect decides whether your agents complete tasks reliably or fall apart halfway through a multi-step workflow. It sets what you pay per completed job, not just per token. And it determines whether your […]

In late March 2026, Google Research published a paper that got more attention outside of academic circles than most AI research does. TurboQuant, a new compression algorithm for the key-value cache in large language models, landed with enough noise that Cloudflare CEO Matthew Prince called it Google’s DeepSeek moment. The Silicon Valley Pied Piper comparisons […]

Most teams discover their inference economics the same way: a production bill arrives that looks nothing like the number they expected. The per-token price seemed small enough during testing. Then real traffic showed up, agents started chaining calls, RAG pipelines bloated the context window, and suddenly the math looked completely different. Token prices have fallen […]