// claude api integration
The Claude API, in production.
A Claude demo takes an afternoon. Production takes engineering, and that is the part we sell.
In production, the model's answers have to arrive in a fixed format your code can read, which is called structured output. When Claude calls your systems, known as tool use, failures have to be safe. Usage is billed per token, and that bill has to hold steady at month's end.
Our own consumer SaaS generates personalized reports through a language-model pipeline, with format-checked output rendered to PDF behind Stripe. Our client sites publish Claude-written content every day with nobody watching. These systems have run for months without a person in the loop.
What we implement
Structured output and schema checks
Responses your code can trust, with retry and validation layers for the cases the model fumbles.
Tool use and MCP servers
Claude reads your database and calls your APIs, inside guardrails you define.
MCP is an open standard for connecting Claude to outside tools.
Evals and behavioral testing
Evals are repeatable tests of the model's output. Every AI feature is measured with them before it ships, and prompt changes get retested like any other code.
Cost architecture
Smaller models where they are good enough, reuse of repeated work (caching), and grouped requests (batching).
Design, more than usage, usually separates a $40-a-month feature from a $4,000 one.
Stack
languagesTypeScript · Python
platformsVercel · AWS
scoped integrations$15k–$40k
single workflowFrom $5,000
We work with Anthropic's official code libraries and MCP, including structured output and streaming, and we are AWS certified. We fit into what you already run, whether that is Next.js and Postgres or the spreadsheet-and-email stack many real businesses live on.
For deciding which workflows come first, start with Claude consulting.
studio@anchor163.com
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