Anthropic
Build with Anthropic's Claude models — the reasoning engine behind our AI work
Anthropic is the AI research company behind Claude, a family of large language models (Opus, Sonnet, and Haiku) known for strong reasoning, long-context comprehension, reliable tool use, and safety-focused design. Claude is available through Anthropic's API, along with capabilities like extended thinking, prompt caching, native tool calling, and the Model Context Protocol. EGGKNITE uses Claude as the core intelligence layer across our AI and automation builds.
We integrate Claude directly through the Anthropic API and SDK, choosing the right model tier per workload — Opus for deep reasoning and multi-step agents, Sonnet for balanced production traffic, Haiku for high-volume low-latency tasks. We wire in prompt caching to cut token cost on repeated context, structured tool use for reliable JSON and function calls, and streaming for responsive interfaces. Long-context windows let us feed entire knowledge bases, transcripts, and product catalogs without brittle chunking.
On top of the raw API we build the production scaffolding: evaluation suites that score outputs against golden sets, guardrails and retry logic, observability on token spend and latency, and versioned prompts under source control. We also connect Claude to live systems through MCP so it can read and act on real data. The result is Claude-powered features that ship into client marketing stacks, web apps, and internal tooling with the reliability standards of production software.
We build Claude-driven systems that draft ad copy, landing pages, lifecycle emails, and SEO briefs grounded in a client's brand voice and product data. Human review stays in the loop while Claude handles volume and consistency across channels.
We stand up support and sales assistants that use Claude's long context and tool use to answer from real documentation, pricing, and CRM records. They cite sources, escalate cleanly, and stay on-brand under pressure.
We connect Claude to warehouse and ad-platform data so it can summarize performance, explain anomalies, and draft stakeholder-ready narratives. Marketers get plain-language insight without waiting on a manual reporting cycle.
It depends on the workload. We use Opus for complex reasoning and agentic tasks, Sonnet for the bulk of production traffic where speed and quality balance, and Haiku for high-volume, latency-sensitive jobs. We often mix tiers within one system to control cost.
We ground Claude in your real data through retrieval and tool use, encode brand voice into structured prompts, and run evaluation suites that score outputs before anything ships. Guardrails and human review handle the edge cases.
We can build on your Anthropic API account for full ownership and billing transparency, or run it under ours during a pilot. Either way you keep the prompts, evals, and integration code we produce.
Let's grow.
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