We only build on Claude.

Most AI platforms hedge with multi-LLM support. We don't. We picked Claude because it's measurably the best for autonomous agents in production: • Highest SWE-bench scores — the industry benchmark for autonomous coding • 1M-token context window on Opus — whole repositories fit in one prompt • Native MCP (Model Context Protocol) — the open standard for agent tool use • Extended thinking — multi-step reasoning for complex incident diagnosis • Computer Use — agents interact with web UIs without waiting for APIs • Constitutional AI safety training — fewer production hallucinations • Anthropic's agent-first roadmap — Managed Agents, Skills, Memory, Code Execution Multi-LLM platforms sound safe but deliver mediocrity. Every model has different strengths, different prompt conventions, different failure modes. Supporting all of them means optimizing for none. We chose depth. We know Claude's capabilities, edge cases, and cost-optimization patterns better than anyone else serving our customer size. That's the only way to deliver production-grade autonomous agents.