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AI and Automation

Claude Agent SDK Builds

Production agents built on the Claude Agent SDK.

Overview

What we deliver

We build production-grade agents using the Claude Agent SDK, with custom tools, file and shell access, and the safety controls your team needs.

We build agents on the Claude Agent SDK for teams that want to use Claude’s reasoning and tool use in production. The SDK gives us a clean way to define tools, manage context, and run agents with file system, shell, and API access. We use it to ship agents that do real work, from code changes and document drafting to data analysis and operations tasks. We design the tool surface so the agent has exactly the access it needs and nothing more. We add policy controls, allowlists, and review steps for sensitive actions. We tune system prompts, manage context windows, and add retrieval where it helps. We deliver agents with logging, evaluations, and a clear path to iterate. If you already use Claude or want to start with the model best suited to long-context, tool-using work, this is a fast path to production.

Fit Check

Built for teams like yours

Who it's for

  • Engineering teams using Claude in production
  • Operations teams automating document and data work
  • Product teams building Claude-powered features
  • Research and analyst teams
  • Companies standardizing on Anthropic models

Pain points we solve

  • Prototype agents that do not survive production
  • Tool calling that is fragile or unsafe
  • Long workflows hitting context limits
  • No clear way to evaluate agent quality
  • Limited control over what the agent can do
What's included

Capabilities

Everything we cover in this engagement.

  • Claude Agent SDK setup and configuration
  • Custom tool design and implementation
  • File system and shell access controls
  • Context and memory management
  • System prompt and policy design
  • Evaluation harness with real cases
  • Observability and tracing
  • Production deployment and handoff
How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Scope

Define the agent's job, tools, and access policy.

02

Design

Plan the tool surface, prompts, and safety controls.

03

Build

Implement tools, agent loop, and evaluations on the SDK.

04

Tune

Iterate on prompts and tools against real cases.

05

Ship

Deploy with logging, alerts, and a maintenance plan.

What you get

Deliverables & outcomes

What you get

  • Claude Agent SDK build in your repo
  • Custom tool implementations
  • System prompts and policy files
  • Evaluation dataset and reports
  • Logging and tracing setup
  • Operator and developer documentation

Outcomes you can expect

  • Reliable Claude-powered agents in production
  • Tight control over what the agent can do
  • Faster iteration with a real evaluation loop
  • Clear audit trail for every action
  • A pattern you can reuse for future agents
Timeline

4 to 8 weeks

Engagement

Monthly retainer, Project, Sprint

Tools we use

Claude Agent SDK, Anthropic API, GitHub, AWS, Datadog

KPIs we track

Task success rate, evaluation score, tool call accuracy, average tokens per task, incident rate

Client stories

What clients say

"

We had been prototyping an AI quoting agent for nine months and could not get it past demo quality. They came in, scoped a real eval set, swapped our retrieval layer, and added guardrails for the edge cases that kept burning us. Went live in seven weeks. It now handles 41 percent of inbound quote requests without a human touching them.

Kyle A.
"

We were drowning in tier-one tickets about password resets and appointment changes. They built a deflection layer on top of our help desk and kept their agents in the loop for anything sensitive. Volume to humans dropped 58 percent in two months and our patient NPS held steady. The hybrid handoff is the part most vendors get wrong. They did not.

P.M.
FAQ

Frequently asked questions

Quick answers to the questions we hear most.

Why use the Claude Agent SDK?
It gives a clean foundation for tool-using agents with strong defaults for safety, context handling, and file system access. It cuts the time from prototype to production.
Can the agent edit files and run commands?
Yes, with allowlists and policy controls. We scope access to the directories and commands needed for the job and log everything.
How do you handle sensitive data?
We use scoped credentials, redact inputs and outputs where required, and follow your data residency rules. We can run in your cloud account.
Can we extend the agent later?
Yes. The build is modular. New tools and capabilities can be added without rewriting the agent.
Do you support both API and self-hosted setups?
We work with the Anthropic API and with deployments that route through your own gateway or proxy.

Want a production-ready Claude agent?

We scope the job, build on the Claude Agent SDK, and ship with the safety controls you need.