Claude integrations that go beyond the API docs

Claude Haiku for high-volume, latency-sensitive tasks where speed and cost matter more than reasoning depth. Claude Sonnet for the majority of production workloads — the best balance of capability and cost. Claude Opus for complex reasoning, legal analysis or any use case where accuracy is more important than cost. We run your use case through all three and recommend based on measured accuracy, not marketing.

A large context window is a tool, not a default. Sending 200K tokens per call is expensive and introduces degraded attention on the most critical content. We design context management strategies: semantic retrieval to inject only relevant content, conversation compression for long sessions, and caching for repeated reference documents. The goal is maximum accuracy at minimum cost.

Yes, via tool use. Claude's tool use API allows the model to call your internal APIs, query your databases and retrieve real-time information during inference. We build the integration layer, define the tool schemas and implement the error handling — the model decides when and how to use the tools based on the conversation context.

We implement output validation layers that check structure, citations and prohibited content before any result reaches users. For regulated industries, we design audit trails that log every inference call with its input, output and model version. We also implement human-in-the-loop for high-risk decisions where no automated system should have final authority.

Claude Code is Anthropic's AI coding assistant that operates directly in your development environment — running commands, writing and editing files, and completing multi-step engineering tasks autonomously. If your team ships software, Claude Code can meaningfully accelerate development workflow. We can integrate it into your CI/CD pipeline and engineering processes, and train your team on effective use patterns.